==> Synchronizing chroot copy [/home/alhp/workspace/chroot/root] -> [build_71cd88b0-9484-420c-80a5-fcc6ac8e7e95]...done ==> Making package: python-statsmodels 0.15.0-1.1 (Sat Sep 12 11:32:46 2026) ==> Retrieving sources... -> Cloning statsmodels git repo... Cloning into bare repository '/home/alhp/workspace/build/x86-64-v2/python-statsmodels-0.15.0-1/statsmodels'... ==> Validating source files with sha256sums... statsmodels ... Passed Note: in a future version of systemd-nspawn the default set of permitted socket address families will be restricted to AF_INET, AF_INET6 and AF_UNIX. Use --restrict-address-families= to configure the set of permitted socket address families, or set RestrictAddressFamilies= in a .nspawn file. ==> Making package: python-statsmodels 0.15.0-1.1 (Sat Sep 12 09:32:59 2026) ==> Checking runtime dependencies... ==> Installing missing dependencies... resolving dependencies... looking for conflicting packages... Package (18) New Version Net Change Download Size extra/blas 3.12.1-2 0.74 MiB extra/cblas 3.12.1-2 0.34 MiB extra/lapack 3.12.1-2 15.06 MiB extra/python-certifi 2026.07.22-1 0.02 MiB extra/python-charset-normalizer 3.5.1-1 0.63 MiB extra/python-dateutil 2.9.0-8 1.03 MiB extra/python-idna 3.19-1 0.66 MiB extra/python-packaging 26.3-1 1.58 MiB extra/python-platformdirs 4.11.7-1 0.47 MiB extra/python-pooch 1.9.0-1 0.75 MiB extra/python-pytz 2026.1-1 0.17 MiB extra/python-requests 2.34.2-1 0.76 MiB extra/python-six 1.17.0-3 0.12 MiB extra/python-urllib3 2.7.0-1 1.43 MiB extra/python-numpy 2.5.3-1 49.33 MiB extra/python-pandas 2.3.3-6 110.38 MiB 15.61 MiB extra/python-patsy 1.0.3-1 2.23 MiB extra/python-scipy 1.18.1-1 118.60 MiB Total Download Size: 15.61 MiB Total Installed Size: 304.29 MiB :: Proceed with installation? [Y/n] :: Retrieving packages... python-pandas-2.3.3-6-x86_64 downloading... checking keyring... checking package integrity... loading package files... checking for file conflicts... :: Processing package changes... installing blas... installing cblas... installing lapack... installing python-numpy... Optional dependencies for python-numpy blas-openblas: faster linear algebra installing python-platformdirs... installing python-packaging... installing python-charset-normalizer... installing python-idna... installing python-urllib3... Optional dependencies for python-urllib3 python-brotli: Brotli support python-brotlicffi: Brotli support python-h2: HTTP/2 support python-pysocks: SOCKS support installing python-certifi... installing python-requests... Optional dependencies for python-requests python-chardet: alternative character encoding library python-pysocks: SOCKS proxy support installing python-pooch... Optional dependencies for python-pooch python-paramiko: for SFTP downloads python-tqdm: for printing a download progress bar installing python-scipy... Optional dependencies for python-scipy python-pillow: for image saving module installing python-six... installing python-dateutil... installing python-pytz... installing python-pandas... Optional dependencies for python-pandas python-pandas-datareader: pandas.io.data replacement (recommended) python-numexpr: accelerating certain numerical operations (recommended) python-bottleneck: accelerating certain types of nan evaluations (recommended) python-matplotlib: plotting python-jinja: conditional formatting with DataFrame.style python-tabulate: printing in Markdown-friendly format python-scipy: miscellaneous statistical functions [installed] python-numba: alternative execution engine python-xarray: pandas-like API for N-dimensional data python-xlrd: Excel XLS input python-xlwt: Excel XLS output python-openpyxl: Excel XLSX input/output python-xlsxwriter: alternative Excel XLSX output python-beautifulsoup4: read_html function (in any case) python-html5lib: read_html function (and/or python-lxml) python-lxml: read_xml, to_xml and read_html function (and/or python-html5lib) python-sqlalchemy: SQL database support python-psycopg2: PostgreSQL engine for sqlalchemy python-pymysql: MySQL engine for sqlalchemy python-pytables: HDF5-based reading / writing python-blosc: for msgpack compression using blosc zlib: compression for msgpack [installed] python-pyarrow: Parquet, ORC and feather reading/writing python-fsspec: handling files aside from local and HTTP python-qtpy: read_clipboard function (only one needed) xclip: read_clipboard function (only one needed) xsel: read_clipboard function (only one needed) python-brotli: Brotli compression python-snappy: Snappy compression python-zstandard: Zstandard (zstd) compression installing python-patsy... Optional dependencies for python-patsy python-scipy: needed for spline-related functions [installed] :: Running post-transaction hooks... (1/1) Arming ConditionNeedsUpdate... ==> Checking buildtime dependencies... ==> Installing missing dependencies... resolving dependencies... looking for conflicting packages... Package (67) New Version Net Change Download Size extra/aom 3.15.0-1 9.50 MiB extra/dav1d 1.5.4-1 1.85 MiB extra/freetype2 2.14.3-1 1.66 MiB extra/fribidi 1.0.16-2 0.24 MiB extra/graphite 1:1.3.15-1 0.20 MiB extra/harfbuzz 14.4.0-1 4.92 MiB extra/jbigkit 2.1-8 0.16 MiB extra/lcms2 2.19.1-1 0.69 MiB extra/libavif 1.4.2-1 0.87 MiB extra/libdeflate 1.26-1 0.14 MiB extra/libimagequant 4.4.1-2 0.60 MiB extra/libjpeg-turbo 3.2.0-2 2.65 MiB extra/libpng 1.6.58-2 0.58 MiB extra/libraqm 0.11.0-1 0.20 MiB extra/libtiff 4.7.2-1 1.32 MiB extra/libwebp 1.6.0-2 1.04 MiB extra/libxau 1.0.12-1 0.02 MiB extra/libxcb 1.17.0-1 3.87 MiB extra/libxdmcp 1.1.5-2 0.13 MiB extra/libyuv r2921+644251f25-1 1.50 MiB extra/meson 1.12.0-1 16.85 MiB extra/ninja 1.13.2-3 0.41 MiB extra/openjpeg2 2.5.4-1 13.37 MiB extra/patchelf 0.19.1-1 0.30 MiB extra/perl-error 0.17030-3 0.04 MiB extra/perl-mailtools 2.22-3 0.10 MiB extra/perl-timedate 2.35-1 0.15 MiB extra/python-autocommand 2.2.2-9 0.08 MiB extra/python-cloudpickle 3.1.2-3 0.18 MiB extra/python-contourpy 1.4.0-1 1.01 MiB extra/python-cycler 0.12.1-4 0.07 MiB extra/python-execnet 2.1.2-3 0.55 MiB extra/python-fonttools 4.65.0-1 21.56 MiB extra/python-iniconfig 2.3.0-1 0.07 MiB extra/python-jaraco.collections 5.1.0-3 0.11 MiB extra/python-jaraco.context 6.1.2-1 0.06 MiB extra/python-jaraco.functools 4.1.0-3 0.07 MiB extra/python-jaraco.text 4.0.0-4 0.08 MiB extra/python-kiwisolver 1.5.1-1 0.15 MiB extra/python-more-itertools 11.1.0-1 0.77 MiB extra/python-pillow 12.3.0-1 4.88 MiB extra/python-pluggy 1.6.0-3 0.23 MiB extra/python-pygments 2.21.0-1 15.59 MiB extra/python-pyparsing 3.3.2-1 1.55 MiB extra/python-pyproject-hooks 1.2.0-6 0.11 MiB extra/python-pyproject-metadata 0.9.0-3 0.19 MiB extra/python-setuptools 1:84.0.0-1 4.92 MiB extra/python-tqdm 4.70.1-1 0.64 MiB extra/python-vcs-versioning 2.3.4-1 1.18 MiB extra/qhull 2020.2-5 6.94 MiB extra/rav1e 0.8.1-3 7.49 MiB extra/svt-av1 4.2.0-1 5.36 MiB extra/xcb-proto 1.17.0-4 1.03 MiB extra/xorgproto 2025.1-1 1.47 MiB extra/zlib-ng 2.3.3-1 0.28 MiB extra/cython 3.2.9-1 19.14 MiB extra/git 2.55.0-1 31.33 MiB extra/meson-python 0.21.1-1 0.36 MiB extra/python-build 1.6.0-1 0.33 MiB extra/python-installer 1.0.1-1 0.21 MiB extra/python-joblib 1.6.0-2 2.81 MiB extra/python-matplotlib 3.11.2-1 32.45 MiB extra/python-pytest 1:9.1.1-1 4.95 MiB extra/python-pytest-randomly 5.0.0-1 0.05 MiB 0.02 MiB extra/python-pytest-xdist 3.8.0-3 0.56 MiB extra/python-setuptools-scm 10.2.3-1 0.23 MiB extra/python-wheel 0.48.0-1 0.34 MiB Total Download Size: 0.02 MiB Total Installed Size: 232.74 MiB :: Proceed with installation? [Y/n] :: Retrieving packages... python-pytest-randomly-5.0.0-1-any downloading... checking keyring... checking package integrity... loading package files... checking for file conflicts... :: Processing package changes... installing ninja... installing python-tqdm... Optional dependencies for python-tqdm python-requests: telegram [installed] installing meson... installing patchelf... installing python-pyproject-metadata... installing meson-python... Optional dependencies for meson-python python-colorama: colored output installing python-more-itertools... installing python-jaraco.functools... installing python-jaraco.context... installing python-autocommand... installing python-jaraco.text... Optional dependencies for python-jaraco.text python-inflect: for show-newlines script installing python-jaraco.collections... installing python-wheel... Optional dependencies for python-wheel python-keyring: for wheel.signatures python-xdg: for wheel.signatures python-setuptools: for legacy bdist_wheel subcommand [pending] installing python-setuptools... installing python-vcs-versioning... Optional dependencies for python-vcs-versioning python-rich: formatting of log messages installing python-setuptools-scm... Optional dependencies for python-setuptools-scm python-rich: use rich as console log handler installing python-pyproject-hooks... installing python-build... Optional dependencies for python-build python-pip: to use as the Python package installer (default) python-uv: to use as the Python package installer python-virtualenv: to use virtualenv for build isolation installing python-installer... installing python-pygments... installing cython... installing perl-error... installing perl-timedate... installing perl-mailtools... installing zlib-ng... installing git... Optional dependencies for git git-zsh-completion: upstream zsh completion tk: gitk and git gui openssh: ssh transport and crypto man: show help with `git command --help` perl-libwww: git svn perl-term-readkey: git svn and interactive.singlekey setting perl-io-socket-ssl: git send-email TLS support perl-authen-sasl: git send-email TLS support perl-cgi: gitweb (web interface) support python: git svn & git p4 [installed] subversion: git svn org.freedesktop.secrets: keyring credential helper libsecret: libsecret credential helper [installed] less: the default pager for git installing python-iniconfig... installing python-pluggy... installing python-pytest... installing python-pytest-randomly... installing python-execnet... installing python-pytest-xdist... Optional dependencies for python-pytest-xdist python-psutil: to use psutil for detection of the number of CPUs available python-setproctitle: to update the process title installing python-cloudpickle... installing python-joblib... Optional dependencies for python-joblib python-distributed: for dask parallel backend python-lz4: for compressed serialization python-numpy: for array manipulation [installed] python-psutil: to mitigate memory leaks in worker processes installing libpng... installing freetype2... Optional dependencies for freetype2 harfbuzz: Improved autohinting [pending] installing python-contourpy... Optional dependencies for python-contourpy python-matplotlib: matplotlib renderer [pending] installing python-cycler... installing python-fonttools... Optional dependencies for python-fonttools python-brotli: to compress/decompress WOFF 2.0 web fonts python-fs: to read/write UFO source files python-lxml: faster backend for XML files reading/writing python-lz4: for graphite type tables in ttLib/tables python-matplotlib: for visualizing DesignSpaceDocument and resulting VariationModel [pending] python-pyqt5: for drawing glyphs with Qt’s QPainterPath python-reportlab: to drawing glyphs as PNG images python-scipy: for finding wrong contour/component order between different masters [installed] python-sympy: for symbolic font statistics analysis python-uharfbuzz: to use the Harfbuzz Repacker for packing GSUB/GPOS tables python-unicodedata2: for displaying the Unicode character names when dumping the cmap table with ttx python-zopfli: faster backend fom WOFF 1.0 web fonts compression installing python-kiwisolver... installing libjpeg-turbo... installing jbigkit... installing libdeflate... installing libwebp... Optional dependencies for libwebp libwebp-utils: WebP conversion and inspection tools installing libtiff... Optional dependencies for libtiff freeglut: for using tiffgt installing lcms2... installing aom... installing dav1d... Optional dependencies for dav1d dav1d-doc: HTML documentation installing libyuv... installing rav1e... installing svt-av1... installing libavif... installing fribidi... installing graphite... Optional dependencies for graphite graphite-docs: Documentation installing harfbuzz... Optional dependencies for harfbuzz harfbuzz-utils: utilities installing libraqm... installing openjpeg2... installing libimagequant... installing xcb-proto... installing xorgproto... installing libxdmcp... installing libxau... installing libxcb... installing python-pillow... Optional dependencies for python-pillow libwebp: for webp images [installed] tk: for the ImageTK module python-olefile: OLE2 file support python-pyqt6: for the ImageQt module python-defusedxml: for reading XMP tags installing python-pyparsing... Optional dependencies for python-pyparsing python-railroad-diagrams: for generating Railroad Diagrams python-jinja: for generating Railroad Diagrams installing qhull... installing python-matplotlib... Optional dependencies for python-matplotlib tk: Tk{Agg,Cairo} backends pyside6: alternative for Qt6{Agg,Cairo} backends python-pyqt6: Qt6{Agg,Cairo} backends python-gobject: for GTK{3,4}{Agg,Cairo} backend python-wxpython: WX{Agg,Cairo} backend python-cairo: {GTK{3,4},Qt{5,6},Tk,WX}Cairo backends python-cairocffi: alternative for Cairo backends python-tornado: WebAgg backend ffmpeg: for saving movies imagemagick: for saving animated gifs ghostscript: usetex dependencies texlive-binextra: usetex dependencies texlive-fontsrecommended: usetex dependencies texlive-latexrecommended: usetex usage with pdflatex python-certifi: https support [installed] :: Running post-transaction hooks... (1/3) Creating system user accounts... Creating group 'git' with GID 969. Creating user 'git' (git daemon user) with UID 969 and GID 969. (2/3) Reloading system manager configuration... Skipped: Current root is not booted. (3/3) Arming ConditionNeedsUpdate... ==> Retrieving sources... ==> WARNING: Skipping all source file integrity checks. ==> Extracting sources... -> Creating working copy of statsmodels git repo... Cloning into 'statsmodels'... done. Switched to a new branch 'makepkg' ==> Starting prepare()... ==> Starting build()... * Getting build dependencies for wheel... * Building wheel... + meson setup /startdir/src/statsmodels /startdir/src/statsmodels/.mesonpy-jzf0ep2x -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md --vsenv --native-file=/startdir/src/statsmodels/.mesonpy-jzf0ep2x/meson-python-native-file.ini The Meson build system Version: 1.12.0 Source dir: /startdir/src/statsmodels Build dir: /startdir/src/statsmodels/.mesonpy-jzf0ep2x Build type: native build Project name: statsmodels Project version: 0.15.1.dev0+g278ff9950.d20260912 C compiler for the host machine: cc (gcc 16.2.1 "cc (GCC) 16.2.1 20260810") C linker for the host machine: cc ld.bfd 2.47 Cython compiler for the host machine: cython (cython 3.2.9) Host machine cpu family: x86_64 Host machine cpu: x86_64 Program cython found: YES (/usr/bin/cython) Program statsmodels/_build/tempita.py found: YES (/usr/bin/python /startdir/src/statsmodels/statsmodels/_build/tempita.py) Checking if "scipy cython_blas blas_int" compiles: YES Library m found: YES Program python found: YES (/usr/bin/python) Found pkg-config: YES (/usr/bin/pkg-config) 3.0.7 Run-time dependency python found: YES 3.14 Configuring _blas_int.pxi using configuration ../statsmodels/meson.build:101: WARNING: Project targets '>= 1.9.0' but uses feature deprecated since '0.60.0': install_subdir with empty directory. It worked by accident and is buggy. Use install_emptydir instead. Build targets in project: 69 WARNING: Deprecated features used: * 0.60.0: {'install_subdir with empty directory'} statsmodels 0.15.1.dev0+g278ff9950.d20260912 User defined options Native files: /startdir/src/statsmodels/.mesonpy-jzf0ep2x/meson-python-native-file.ini b_ndebug : if-release b_vscrt : md buildtype : release vsenv : true Found ninja-1.13.2 at /usr/bin/ninja Visual Studio environment is needed to run Ninja. It is recommended to use Meson wrapper: /usr/bin/meson compile -C . Generating targets: 0%| | 0/69 eta ? Writing build.ninja: 0%| | 0/173 eta ? + /usr/bin/ninja [1/121] Generating statsmodels/tsa/regime_switching/_hamilton_filter_pyx with a custom command [2/121] Copying file statsmodels/tsa/statespace/__init__.py [3/121] Copying file statsmodels/__init__.py [4/121] Copying file statsmodels/includes/math.pxd [5/121] Copying file statsmodels/tsa/statespace/_kalman_smoother.pxd [6/121] Copying file statsmodels/tsa/statespace/_filters/__init__.py [7/121] Copying file statsmodels/includes/__init__.pxd [8/121] Generating statsmodels/tsa/regime_switching/_kim_smoother_pyx with a custom command [9/121] Copying file statsmodels/tsa/statespace/_cfa_simulation_smoother.pxd [10/121] Copying file statsmodels/tsa/statespace/_filters/_inversions.pxd [11/121] Copying file statsmodels/tsa/__init__.py [12/121] Generating statsmodels/tsa/innovations/_arma_innovations_pyx with a custom command [13/121] Copying file statsmodels/tsa/statespace/_initialization.pxd [14/121] Copying file statsmodels/tsa/statespace/_tools.pxd [15/121] Copying file statsmodels/tsa/statespace/_filters/_conventional.pxd [16/121] Copying file statsmodels/tsa/statespace/_filters/_univariate_diffuse.pxd [17/121] Copying file statsmodels/tsa/statespace/_filters/_univariate.pxd [18/121] Generating statsmodels/tsa/statespace/_filters/_univariate_pyx with a custom command [19/121] Copying file statsmodels/tsa/statespace/_kalman_filter.pxd [20/121] Copying file statsmodels/tsa/statespace/_representation.pxd [21/121] Copying file statsmodels/tsa/statespace/_simulation_smoother.pxd [22/121] Generating statsmodels/tsa/statespace/_filters/_conventional_pyx with a custom command [23/121] Generating statsmodels/tsa/statespace/_filters/_inversions_pyx with a custom command [24/121] Generating statsmodels/tsa/statespace/_filters/_univariate_diffuse_pyx with a custom command [25/121] Copying file statsmodels/tsa/statespace/_smoothers/_alternative.pxd [26/121] Copying file statsmodels/tsa/statespace/_smoothers/_classical.pxd [27/121] Copying file statsmodels/tsa/statespace/_smoothers/_conventional.pxd [28/121] Copying file statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pxd [29/121] Copying file statsmodels/tsa/statespace/_smoothers/_univariate.pxd [30/121] Copying file statsmodels/tsa/statespace/_smoothers/__init__.py [31/121] Generating statsmodels/tsa/statespace/_smoothers/_alternative_pyx with a custom command [32/121] Generating statsmodels/tsa/statespace/_smoothers/_classical_pyx with a custom command [33/121] Generating statsmodels/tsa/statespace/_smoothers/_conventional_pyx with a custom command [34/121] Generating statsmodels/tsa/statespace/_smoothers/_univariate_diffuse_pyx with a custom command [35/121] Generating statsmodels/tsa/statespace/_smoothers/_univariate_pyx with a custom command [36/121] Generating statsmodels/tsa/statespace/_cfa_simulation_smoother_pyx with a custom command [37/121] Generating statsmodels/tsa/statespace/_initialization_pyx with a custom command [38/121] Generating statsmodels/tsa/statespace/_representation_pyx with a custom command [39/121] Generating statsmodels/tsa/statespace/_tools_pyx with a custom command [40/121] Generating statsmodels/tsa/statespace/_kalman_filter_pyx with a custom command [41/121] Generating statsmodels/tsa/statespace/_kalman_smoother_pyx with a custom command [42/121] Generating statsmodels/tsa/statespace/_simulation_smoother_pyx with a custom command [43/121] Compiling Cython source /startdir/src/statsmodels/statsmodels/robust/_qn.pyx [44/121] Compiling Cython source /startdir/src/statsmodels/statsmodels/nonparametric/linbin.pyx [45/121] Compiling Cython source /startdir/src/statsmodels/statsmodels/nonparametric/_smoothers_lowess.pyx [46/121] Generating 'statsmodels/tsa/regime_switching/_hamilton_filter.cpython-314-x86_64-linux-gnu.so.p/_hamilton_filter.c' [47/121] Compiling Cython source /startdir/src/statsmodels/statsmodels/tsa/_innovations.pyx [48/121] Generating 'statsmodels/tsa/innovations/_arma_innovations.cpython-314-x86_64-linux-gnu.so.p/_arma_innovations.c' [49/121] Generating 'statsmodels/tsa/statespace/_smoothers/_univariate.cpython-314-x86_64-linux-gnu.so.p/_univariate.c' [50/121] Compiling Cython source /startdir/src/statsmodels/statsmodels/tsa/holtwinters/_exponential_smoothers.pyx [51/121] Compiling C object statsmodels/nonparametric/linbin.cpython-314-x86_64-linux-gnu.so.p/meson-generated_linbin.pyx.c.o [52/121] Compiling Cython source /startdir/src/statsmodels/statsmodels/tsa/stl/_stl.pyx [53/121] Generating statsmodels/generate-version with a custom command [54/121] Generating 'statsmodels/tsa/regime_switching/_kim_smoother.cpython-314-x86_64-linux-gnu.so.p/_kim_smoother.c' [55/121] Generating 'statsmodels/tsa/statespace/_smoothers/_alternative.cpython-314-x86_64-linux-gnu.so.p/_alternative.c' [56/121] Compiling C object statsmodels/robust/_qn.cpython-314-x86_64-linux-gnu.so.p/meson-generated__qn.pyx.c.o [57/121] Generating 'statsmodels/tsa/statespace/_smoothers/_conventional.cpython-314-x86_64-linux-gnu.so.p/_conventional.c' [58/121] Compiling C object statsmodels/tsa/regime_switching/_hamilton_filter.cpython-314-x86_64-linux-gnu.so.p/meson-generated__hamilton_filter.c.o [59/121] Compiling C object statsmodels/tsa/_innovations.cpython-314-x86_64-linux-gnu.so.p/meson-generated__innovations.pyx.c.o [60/121] Compiling C object statsmodels/tsa/statespace/_smoothers/_univariate.cpython-314-x86_64-linux-gnu.so.p/meson-generated__univariate.c.o [61/121] Generating 'statsmodels/tsa/statespace/_smoothers/_classical.cpython-314-x86_64-linux-gnu.so.p/_classical.c' [62/121] Compiling Cython source /startdir/src/statsmodels/statsmodels/tsa/exponential_smoothing/_ets_smooth.pyx [63/121] Generating 'statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.cpython-314-x86_64-linux-gnu.so.p/_univariate_diffuse.c' warning: statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pyx:588:14: Unreachable code warning: statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pyx:1195:14: Unreachable code warning: statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pyx:1802:14: Unreachable code warning: statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pyx:2409:14: Unreachable code [64/121] Compiling C object statsmodels/tsa/innovations/_arma_innovations.cpython-314-x86_64-linux-gnu.so.p/meson-generated__arma_innovations.c.o [65/121] Compiling C object statsmodels/nonparametric/_smoothers_lowess.cpython-314-x86_64-linux-gnu.so.p/meson-generated__smoothers_lowess.pyx.c.o [66/121] Compiling C object statsmodels/tsa/statespace/_smoothers/_conventional.cpython-314-x86_64-linux-gnu.so.p/meson-generated__conventional.c.o [67/121] Generating 'statsmodels/tsa/statespace/_kalman_smoother.cpython-314-x86_64-linux-gnu.so.p/_kalman_smoother.c' [68/121] Linking target statsmodels/nonparametric/linbin.cpython-314-x86_64-linux-gnu.so [69/121] Compiling C object statsmodels/tsa/holtwinters/_exponential_smoothers.cpython-314-x86_64-linux-gnu.so.p/meson-generated__exponential_smoothers.pyx.c.o [70/121] Compiling C object statsmodels/tsa/statespace/_smoothers/_alternative.cpython-314-x86_64-linux-gnu.so.p/meson-generated__alternative.c.o [71/121] Compiling C object statsmodels/tsa/regime_switching/_kim_smoother.cpython-314-x86_64-linux-gnu.so.p/meson-generated__kim_smoother.c.o [72/121] Compiling C object statsmodels/tsa/statespace/_smoothers/_classical.cpython-314-x86_64-linux-gnu.so.p/meson-generated__classical.c.o [73/121] Generating 'statsmodels/tsa/statespace/_initialization.cpython-314-x86_64-linux-gnu.so.p/_initialization.c' [74/121] Compiling C object statsmodels/tsa/stl/_stl.cpython-314-x86_64-linux-gnu.so.p/meson-generated__stl.pyx.c.o [75/121] Generating 'statsmodels/tsa/statespace/_filters/_conventional.cpython-314-x86_64-linux-gnu.so.p/_conventional.c' [76/121] Generating 'statsmodels/tsa/statespace/_cfa_simulation_smoother.cpython-314-x86_64-linux-gnu.so.p/_cfa_simulation_smoother.c' [77/121] Compiling C object statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.cpython-314-x86_64-linux-gnu.so.p/meson-generated__univariate_diffuse.c.o [78/121] Generating 'statsmodels/tsa/statespace/_filters/_inversions.cpython-314-x86_64-linux-gnu.so.p/_inversions.c' [79/121] Generating 'statsmodels/tsa/statespace/_filters/_univariate_diffuse.cpython-314-x86_64-linux-gnu.so.p/_univariate_diffuse.c' [80/121] Compiling C object statsmodels/tsa/statespace/_initialization.cpython-314-x86_64-linux-gnu.so.p/meson-generated__initialization.c.o [81/121] Generating 'statsmodels/tsa/statespace/_filters/_univariate.cpython-314-x86_64-linux-gnu.so.p/_univariate.c' [82/121] Generating 'statsmodels/tsa/statespace/_tools.cpython-314-x86_64-linux-gnu.so.p/_tools.c' [83/121] Generating 'statsmodels/tsa/statespace/_simulation_smoother.cpython-314-x86_64-linux-gnu.so.p/_simulation_smoother.c' [84/121] Generating 'statsmodels/tsa/statespace/_representation.cpython-314-x86_64-linux-gnu.so.p/_representation.c' [85/121] Compiling C object statsmodels/tsa/statespace/_filters/_conventional.cpython-314-x86_64-linux-gnu.so.p/meson-generated__conventional.c.o [86/121] Compiling C object statsmodels/tsa/exponential_smoothing/_ets_smooth.cpython-314-x86_64-linux-gnu.so.p/meson-generated__ets_smooth.pyx.c.o [87/121] Compiling C object statsmodels/tsa/statespace/_filters/_inversions.cpython-314-x86_64-linux-gnu.so.p/meson-generated__inversions.c.o [88/121] Compiling C object statsmodels/tsa/statespace/_filters/_univariate_diffuse.cpython-314-x86_64-linux-gnu.so.p/meson-generated__univariate_diffuse.c.o [89/121] Compiling C object statsmodels/tsa/statespace/_kalman_smoother.cpython-314-x86_64-linux-gnu.so.p/meson-generated__kalman_smoother.c.o [90/121] Linking target statsmodels/tsa/innovations/_arma_innovations.cpython-314-x86_64-linux-gnu.so [91/121] Compiling C object statsmodels/tsa/statespace/_filters/_univariate.cpython-314-x86_64-linux-gnu.so.p/meson-generated__univariate.c.o [92/121] Linking target statsmodels/tsa/holtwinters/_exponential_smoothers.cpython-314-x86_64-linux-gnu.so [93/121] Linking target statsmodels/nonparametric/_smoothers_lowess.cpython-314-x86_64-linux-gnu.so [94/121] Generating 'statsmodels/tsa/statespace/_kalman_filter.cpython-314-x86_64-linux-gnu.so.p/_kalman_filter.c' [95/121] Linking target statsmodels/tsa/stl/_stl.cpython-314-x86_64-linux-gnu.so [96/121] Linking target statsmodels/robust/_qn.cpython-314-x86_64-linux-gnu.so [97/121] Linking target statsmodels/tsa/statespace/_smoothers/_univariate.cpython-314-x86_64-linux-gnu.so [98/121] Linking target statsmodels/tsa/regime_switching/_hamilton_filter.cpython-314-x86_64-linux-gnu.so [99/121] Linking target statsmodels/tsa/statespace/_smoothers/_alternative.cpython-314-x86_64-linux-gnu.so [100/121] Linking target statsmodels/tsa/_innovations.cpython-314-x86_64-linux-gnu.so [101/121] Linking target statsmodels/tsa/regime_switching/_kim_smoother.cpython-314-x86_64-linux-gnu.so [102/121] Compiling C object statsmodels/tsa/statespace/_simulation_smoother.cpython-314-x86_64-linux-gnu.so.p/meson-generated__simulation_smoother.c.o [103/121] Linking target statsmodels/tsa/statespace/_initialization.cpython-314-x86_64-linux-gnu.so [104/121] Compiling C object statsmodels/tsa/statespace/_cfa_simulation_smoother.cpython-314-x86_64-linux-gnu.so.p/meson-generated__cfa_simulation_smoother.c.o [105/121] Compiling C object statsmodels/tsa/statespace/_tools.cpython-314-x86_64-linux-gnu.so.p/meson-generated__tools.c.o statsmodels/tsa/statespace/_tools.cpython-314-x86_64-linux-gnu.so.p/_tools.c:54408:55: warning: ‘__pyx_f_11statsmodels_3tsa_10statespace_6_tools__zselect2’ defined but not used [-Wunused-function] 54408 | static __pyx_t_5scipy_6linalg_11cython_blas_blas_bint __pyx_f_11statsmodels_3tsa_10statespace_6_tools__zselect2(CYTHON_UNUSED __pyx_t_double_complex *__pyx_v_a, CYTHON_UNUSED __pyx_t_double_complex *__pyx_v_b) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ statsmodels/tsa/statespace/_tools.cpython-314-x86_64-linux-gnu.so.p/_tools.c:43614:55: warning: ‘__pyx_f_11statsmodels_3tsa_10statespace_6_tools__cselect2’ defined but not used [-Wunused-function] 43614 | static __pyx_t_5scipy_6linalg_11cython_blas_blas_bint __pyx_f_11statsmodels_3tsa_10statespace_6_tools__cselect2(CYTHON_UNUSED __pyx_t_float_complex *__pyx_v_a, CYTHON_UNUSED __pyx_t_float_complex *__pyx_v_b) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ statsmodels/tsa/statespace/_tools.cpython-314-x86_64-linux-gnu.so.p/_tools.c:32974:55: warning: ‘__pyx_f_11statsmodels_3tsa_10statespace_6_tools__dselect1’ defined but not used [-Wunused-function] 32974 | static __pyx_t_5scipy_6linalg_11cython_blas_blas_bint __pyx_f_11statsmodels_3tsa_10statespace_6_tools__dselect1(CYTHON_UNUSED __pyx_t_5numpy_float64_t *__pyx_v_a) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ statsmodels/tsa/statespace/_tools.cpython-314-x86_64-linux-gnu.so.p/_tools.c:22352:55: warning: ‘__pyx_f_11statsmodels_3tsa_10statespace_6_tools__sselect1’ defined but not used [-Wunused-function] 22352 | static __pyx_t_5scipy_6linalg_11cython_blas_blas_bint __pyx_f_11statsmodels_3tsa_10statespace_6_tools__sselect1(CYTHON_UNUSED __pyx_t_5numpy_float32_t *__pyx_v_a) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [106/121] Linking target statsmodels/tsa/statespace/_smoothers/_conventional.cpython-314-x86_64-linux-gnu.so [107/121] Linking target statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.cpython-314-x86_64-linux-gnu.so [108/121] Linking target statsmodels/tsa/statespace/_smoothers/_classical.cpython-314-x86_64-linux-gnu.so [109/121] Linking target statsmodels/tsa/statespace/_filters/_conventional.cpython-314-x86_64-linux-gnu.so [110/121] Linking target statsmodels/tsa/statespace/_filters/_univariate_diffuse.cpython-314-x86_64-linux-gnu.so [111/121] Linking target statsmodels/tsa/statespace/_filters/_inversions.cpython-314-x86_64-linux-gnu.so [112/121] Linking target statsmodels/tsa/statespace/_kalman_smoother.cpython-314-x86_64-linux-gnu.so [113/121] Linking target statsmodels/tsa/exponential_smoothing/_ets_smooth.cpython-314-x86_64-linux-gnu.so [114/121] Linking target statsmodels/tsa/statespace/_filters/_univariate.cpython-314-x86_64-linux-gnu.so [115/121] Compiling C object statsmodels/tsa/statespace/_representation.cpython-314-x86_64-linux-gnu.so.p/meson-generated__representation.c.o [116/121] Compiling C object statsmodels/tsa/statespace/_kalman_filter.cpython-314-x86_64-linux-gnu.so.p/meson-generated__kalman_filter.c.o [117/121] Linking target statsmodels/tsa/statespace/_cfa_simulation_smoother.cpython-314-x86_64-linux-gnu.so [118/121] Linking target statsmodels/tsa/statespace/_simulation_smoother.cpython-314-x86_64-linux-gnu.so [119/121] Linking target statsmodels/tsa/statespace/_tools.cpython-314-x86_64-linux-gnu.so [120/121] Linking target statsmodels/tsa/statespace/_representation.cpython-314-x86_64-linux-gnu.so [121/121] Linking target statsmodels/tsa/statespace/_kalman_filter.cpython-314-x86_64-linux-gnu.so [1/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/_version.py [2/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/robust/_qn.cpython-314-x86_64-linux-gnu.so [3/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/nonparametric/_smoothers_lowess.cpython-314-x86_64-linux-gnu.so [4/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/nonparametric/linbin.cpython-314-x86_64-linux-gnu.so [5/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/_innovations.cpython-314-x86_64-linux-gnu.so [6/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/exponential_smoothing/_ets_smooth.cpython-314-x86_64-linux-gnu.so [7/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/holtwinters/_exponential_smoothers.cpython-314-x86_64-linux-gnu.so [8/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/innovations/_arma_innovations.cpython-314-x86_64-linux-gnu.so [9/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/regime_switching/_hamilton_filter.cpython-314-x86_64-linux-gnu.so [10/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/regime_switching/_kim_smoother.cpython-314-x86_64-linux-gnu.so [11/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/statespace/_filters/_conventional.cpython-314-x86_64-linux-gnu.so [12/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/statespace/_filters/_inversions.cpython-314-x86_64-linux-gnu.so [13/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/statespace/_filters/_univariate_diffuse.cpython-314-x86_64-linux-gnu.so [14/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/statespace/_filters/_univariate.cpython-314-x86_64-linux-gnu.so [15/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/statespace/_smoothers/_alternative.cpython-314-x86_64-linux-gnu.so [16/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/statespace/_smoothers/_classical.cpython-314-x86_64-linux-gnu.so [17/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/statespace/_smoothers/_conventional.cpython-314-x86_64-linux-gnu.so [18/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.cpython-314-x86_64-linux-gnu.so [19/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/statespace/_smoothers/_univariate.cpython-314-x86_64-linux-gnu.so [20/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/statespace/_cfa_simulation_smoother.cpython-314-x86_64-linux-gnu.so [21/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/statespace/_initialization.cpython-314-x86_64-linux-gnu.so [22/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/statespace/_kalman_filter.cpython-314-x86_64-linux-gnu.so [23/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/statespace/_kalman_smoother.cpython-314-x86_64-linux-gnu.so [24/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/statespace/_representation.cpython-314-x86_64-linux-gnu.so [25/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/statespace/_simulation_smoother.cpython-314-x86_64-linux-gnu.so [26/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/statespace/_tools.cpython-314-x86_64-linux-gnu.so [27/1565] /startdir/src/statsmodels/.mesonpy-jzf0ep2x/statsmodels/tsa/stl/_stl.cpython-314-x86_64-linux-gnu.so [28/1565] /startdir/src/statsmodels/pyproject.toml [29/1565] /startdir/src/statsmodels/statsmodels/__init__.py [30/1565] /startdir/src/statsmodels/statsmodels/api.py [31/1565] /startdir/src/statsmodels/statsmodels/conftest.py [32/1565] /startdir/src/statsmodels/statsmodels/base/__init__.py [33/1565] /startdir/src/statsmodels/statsmodels/base/_constraints.py [34/1565] /startdir/src/statsmodels/statsmodels/base/_parameter_inference.py [35/1565] /startdir/src/statsmodels/statsmodels/base/_penalized.py [36/1565] /startdir/src/statsmodels/statsmodels/base/_penalties.py [37/1565] /startdir/src/statsmodels/statsmodels/base/_prediction_inference.py [38/1565] /startdir/src/statsmodels/statsmodels/base/_screening.py [39/1565] /startdir/src/statsmodels/statsmodels/base/covtype.py [40/1565] /startdir/src/statsmodels/statsmodels/base/data.py [41/1565] /startdir/src/statsmodels/statsmodels/base/distributed_estimation.py [42/1565] /startdir/src/statsmodels/statsmodels/base/elastic_net.py [43/1565] /startdir/src/statsmodels/statsmodels/base/l1_cvxopt.py [44/1565] /startdir/src/statsmodels/statsmodels/base/l1_slsqp.py [45/1565] /startdir/src/statsmodels/statsmodels/base/l1_solvers_common.py [46/1565] /startdir/src/statsmodels/statsmodels/base/model.py [47/1565] /startdir/src/statsmodels/statsmodels/base/optimizer.py [48/1565] /startdir/src/statsmodels/statsmodels/base/transform.py [49/1565] /startdir/src/statsmodels/statsmodels/base/wrapper.py [50/1565] /startdir/src/statsmodels/statsmodels/base/tests/__init__.py [51/1565] /startdir/src/statsmodels/statsmodels/base/tests/test_constraints.py [52/1565] /startdir/src/statsmodels/statsmodels/base/tests/test_data.py [53/1565] /startdir/src/statsmodels/statsmodels/base/tests/test_distributed_estimation.py [54/1565] /startdir/src/statsmodels/statsmodels/base/tests/test_generic_methods.py [55/1565] /startdir/src/statsmodels/statsmodels/base/tests/test_optimize.py [56/1565] /startdir/src/statsmodels/statsmodels/base/tests/test_penalized.py [57/1565] /startdir/src/statsmodels/statsmodels/base/tests/test_penalties.py [58/1565] /startdir/src/statsmodels/statsmodels/base/tests/test_polars_compat.py [59/1565] /startdir/src/statsmodels/statsmodels/base/tests/test_predict.py [60/1565] /startdir/src/statsmodels/statsmodels/base/tests/test_screening.py [61/1565] /startdir/src/statsmodels/statsmodels/base/tests/test_shrink_pickle.py [62/1565] /startdir/src/statsmodels/statsmodels/base/tests/test_transform.py [63/1565] /startdir/src/statsmodels/statsmodels/compat/__init__.py [64/1565] /startdir/src/statsmodels/statsmodels/compat/matplotlib.py [65/1565] /startdir/src/statsmodels/statsmodels/compat/numpy.py [66/1565] /startdir/src/statsmodels/statsmodels/compat/pandas.py [67/1565] /startdir/src/statsmodels/statsmodels/compat/patsy.py [68/1565] /startdir/src/statsmodels/statsmodels/compat/platform.py [69/1565] /startdir/src/statsmodels/statsmodels/compat/pytest.py [70/1565] /startdir/src/statsmodels/statsmodels/compat/python.py [71/1565] /startdir/src/statsmodels/statsmodels/compat/scipy.py [72/1565] /startdir/src/statsmodels/statsmodels/compat/tests/__init__.py [73/1565] /startdir/src/statsmodels/statsmodels/compat/tests/test_itercompat.py [74/1565] /startdir/src/statsmodels/statsmodels/compat/tests/test_pandas.py [75/1565] /startdir/src/statsmodels/statsmodels/compat/tests/test_scipy_compat.py [76/1565] /startdir/src/statsmodels/statsmodels/datasets/__init__.py [77/1565] /startdir/src/statsmodels/statsmodels/datasets/template_data.py [78/1565] /startdir/src/statsmodels/statsmodels/datasets/utils.py [79/1565] /startdir/src/statsmodels/statsmodels/datasets/anes96/__init__.py [80/1565] /startdir/src/statsmodels/statsmodels/datasets/anes96/anes96.csv [81/1565] /startdir/src/statsmodels/statsmodels/datasets/anes96/data.py [82/1565] /startdir/src/statsmodels/statsmodels/datasets/anes96/src/anes96.csv [83/1565] /startdir/src/statsmodels/statsmodels/datasets/cancer/__init__.py [84/1565] /startdir/src/statsmodels/statsmodels/datasets/cancer/cancer.csv [85/1565] /startdir/src/statsmodels/statsmodels/datasets/cancer/data.py [86/1565] /startdir/src/statsmodels/statsmodels/datasets/ccard/R_wls.s [87/1565] /startdir/src/statsmodels/statsmodels/datasets/ccard/__init__.py [88/1565] /startdir/src/statsmodels/statsmodels/datasets/ccard/ccard.csv [89/1565] /startdir/src/statsmodels/statsmodels/datasets/ccard/data.py [90/1565] /startdir/src/statsmodels/statsmodels/datasets/ccard/src/ccard.csv [91/1565] /startdir/src/statsmodels/statsmodels/datasets/ccard/src/names.txt [92/1565] /startdir/src/statsmodels/statsmodels/datasets/china_smoking/__init__.py [93/1565] /startdir/src/statsmodels/statsmodels/datasets/china_smoking/china_smoking.csv [94/1565] /startdir/src/statsmodels/statsmodels/datasets/china_smoking/data.py [95/1565] /startdir/src/statsmodels/statsmodels/datasets/co2/__init__.py [96/1565] /startdir/src/statsmodels/statsmodels/datasets/co2/co2.csv [97/1565] /startdir/src/statsmodels/statsmodels/datasets/co2/data.py [98/1565] /startdir/src/statsmodels/statsmodels/datasets/co2/src/maunaloa_c.dat [99/1565] /startdir/src/statsmodels/statsmodels/datasets/committee/R_committee.s [100/1565] /startdir/src/statsmodels/statsmodels/datasets/committee/__init__.py [101/1565] /startdir/src/statsmodels/statsmodels/datasets/committee/committee.csv [102/1565] /startdir/src/statsmodels/statsmodels/datasets/committee/data.py [103/1565] /startdir/src/statsmodels/statsmodels/datasets/committee/src/committee.dat [104/1565] /startdir/src/statsmodels/statsmodels/datasets/copper/__init__.py [105/1565] /startdir/src/statsmodels/statsmodels/datasets/copper/copper.csv [106/1565] /startdir/src/statsmodels/statsmodels/datasets/copper/data.py [107/1565] /startdir/src/statsmodels/statsmodels/datasets/copper/src/copper.dat [108/1565] /startdir/src/statsmodels/statsmodels/datasets/cpunish/R_cpunish.s [109/1565] /startdir/src/statsmodels/statsmodels/datasets/cpunish/__init__.py [110/1565] /startdir/src/statsmodels/statsmodels/datasets/cpunish/cpunish.csv [111/1565] /startdir/src/statsmodels/statsmodels/datasets/cpunish/data.py [112/1565] /startdir/src/statsmodels/statsmodels/datasets/cpunish/src/cpunish.dat [113/1565] /startdir/src/statsmodels/statsmodels/datasets/danish_data/__init__.py [114/1565] /startdir/src/statsmodels/statsmodels/datasets/danish_data/data.csv [115/1565] /startdir/src/statsmodels/statsmodels/datasets/danish_data/data.py [116/1565] /startdir/src/statsmodels/statsmodels/datasets/elec_equip/__init__.py [117/1565] /startdir/src/statsmodels/statsmodels/datasets/elec_equip/data.py [118/1565] /startdir/src/statsmodels/statsmodels/datasets/elec_equip/elec_equip.csv [119/1565] /startdir/src/statsmodels/statsmodels/datasets/elnino/__init__.py [120/1565] /startdir/src/statsmodels/statsmodels/datasets/elnino/data.py [121/1565] /startdir/src/statsmodels/statsmodels/datasets/elnino/elnino.csv [122/1565] /startdir/src/statsmodels/statsmodels/datasets/elnino/src/elnino.dat [123/1565] /startdir/src/statsmodels/statsmodels/datasets/engel/__init__.py [124/1565] /startdir/src/statsmodels/statsmodels/datasets/engel/data.py [125/1565] /startdir/src/statsmodels/statsmodels/datasets/engel/engel.csv [126/1565] /startdir/src/statsmodels/statsmodels/datasets/fair/__init__.py [127/1565] /startdir/src/statsmodels/statsmodels/datasets/fair/data.py [128/1565] /startdir/src/statsmodels/statsmodels/datasets/fair/fair.csv [129/1565] /startdir/src/statsmodels/statsmodels/datasets/fair/fair_pt.csv [130/1565] /startdir/src/statsmodels/statsmodels/datasets/fair/src/1978ADAT.asc [131/1565] /startdir/src/statsmodels/statsmodels/datasets/fertility/__init__.py [132/1565] /startdir/src/statsmodels/statsmodels/datasets/fertility/data.py [133/1565] /startdir/src/statsmodels/statsmodels/datasets/fertility/fertility.csv [134/1565] /startdir/src/statsmodels/statsmodels/datasets/grunfeld/__init__.py [135/1565] /startdir/src/statsmodels/statsmodels/datasets/grunfeld/data.py [136/1565] /startdir/src/statsmodels/statsmodels/datasets/grunfeld/grunfeld.csv [137/1565] /startdir/src/statsmodels/statsmodels/datasets/grunfeld/src/grunfeld.csv [138/1565] /startdir/src/statsmodels/statsmodels/datasets/heart/__init__.py [139/1565] /startdir/src/statsmodels/statsmodels/datasets/heart/data.py [140/1565] /startdir/src/statsmodels/statsmodels/datasets/heart/heart.csv [141/1565] /startdir/src/statsmodels/statsmodels/datasets/interest_inflation/E6.csv [142/1565] /startdir/src/statsmodels/statsmodels/datasets/interest_inflation/E6_jmulti.csv [143/1565] /startdir/src/statsmodels/statsmodels/datasets/interest_inflation/__init__.py [144/1565] /startdir/src/statsmodels/statsmodels/datasets/interest_inflation/data.py [145/1565] /startdir/src/statsmodels/statsmodels/datasets/longley/R_gls.s [146/1565] /startdir/src/statsmodels/statsmodels/datasets/longley/R_lm.s [147/1565] /startdir/src/statsmodels/statsmodels/datasets/longley/__init__.py [148/1565] /startdir/src/statsmodels/statsmodels/datasets/longley/data.py [149/1565] /startdir/src/statsmodels/statsmodels/datasets/longley/longley.csv [150/1565] /startdir/src/statsmodels/statsmodels/datasets/macrodata/__init__.py [151/1565] /startdir/src/statsmodels/statsmodels/datasets/macrodata/data.py [152/1565] /startdir/src/statsmodels/statsmodels/datasets/macrodata/macrodata.csv [153/1565] /startdir/src/statsmodels/statsmodels/datasets/macrodata/macrodata.dta [154/1565] /startdir/src/statsmodels/statsmodels/datasets/macrodata/src/unemp.csv [155/1565] /startdir/src/statsmodels/statsmodels/datasets/macrodata/src/macrodata.xls/macrodata.xls [156/1565] /startdir/src/statsmodels/statsmodels/datasets/modechoice/__init__.py [157/1565] /startdir/src/statsmodels/statsmodels/datasets/modechoice/data.py [158/1565] /startdir/src/statsmodels/statsmodels/datasets/modechoice/modechoice.csv [159/1565] /startdir/src/statsmodels/statsmodels/datasets/modechoice/src/TableF18-2.csv [160/1565] /startdir/src/statsmodels/statsmodels/datasets/nile/__init__.py [161/1565] /startdir/src/statsmodels/statsmodels/datasets/nile/data.py [162/1565] /startdir/src/statsmodels/statsmodels/datasets/nile/nile.csv [163/1565] /startdir/src/statsmodels/statsmodels/datasets/randhie/__init__.py [164/1565] /startdir/src/statsmodels/statsmodels/datasets/randhie/data.py [165/1565] /startdir/src/statsmodels/statsmodels/datasets/randhie/randhie.csv [166/1565] /startdir/src/statsmodels/statsmodels/datasets/randhie/src/randdesc.txt [167/1565] /startdir/src/statsmodels/statsmodels/datasets/randhie/src/randhie.csv [168/1565] /startdir/src/statsmodels/statsmodels/datasets/scotland/R_scotvote.s [169/1565] /startdir/src/statsmodels/statsmodels/datasets/scotland/__init__.py [170/1565] /startdir/src/statsmodels/statsmodels/datasets/scotland/data.py [171/1565] /startdir/src/statsmodels/statsmodels/datasets/scotland/scotvote.csv [172/1565] /startdir/src/statsmodels/statsmodels/datasets/scotland/src/scotland.readme [173/1565] /startdir/src/statsmodels/statsmodels/datasets/scotland/src/scotland_births.html [174/1565] /startdir/src/statsmodels/statsmodels/datasets/scotland/src/scotland_changes.html [175/1565] /startdir/src/statsmodels/statsmodels/datasets/scotland/src/scotland_devolution.html [176/1565] /startdir/src/statsmodels/statsmodels/datasets/scotland/src/scotland_econ_summary.html [177/1565] /startdir/src/statsmodels/statsmodels/datasets/scotland/src/scotland_economics.html [178/1565] /startdir/src/statsmodels/statsmodels/datasets/scotland/src/scotland_education.html [179/1565] /startdir/src/statsmodels/statsmodels/datasets/scotland/src/scotland_housing.html [180/1565] /startdir/src/statsmodels/statsmodels/datasets/scotland/src/scotland_population.csv [181/1565] /startdir/src/statsmodels/statsmodels/datasets/scotland/src/scotland_population.html [182/1565] /startdir/src/statsmodels/statsmodels/datasets/scotland/src/scotvote.csv [183/1565] /startdir/src/statsmodels/statsmodels/datasets/scotland/src/scotvote.dat [184/1565] /startdir/src/statsmodels/statsmodels/datasets/spector/__init__.py [185/1565] /startdir/src/statsmodels/statsmodels/datasets/spector/data.py [186/1565] /startdir/src/statsmodels/statsmodels/datasets/spector/spector.csv [187/1565] /startdir/src/statsmodels/statsmodels/datasets/stackloss/R_stackloss.s [188/1565] /startdir/src/statsmodels/statsmodels/datasets/stackloss/__init__.py [189/1565] /startdir/src/statsmodels/statsmodels/datasets/stackloss/data.py [190/1565] /startdir/src/statsmodels/statsmodels/datasets/stackloss/stackloss.csv [191/1565] /startdir/src/statsmodels/statsmodels/datasets/star98/__init__.py [192/1565] /startdir/src/statsmodels/statsmodels/datasets/star98/data.py [193/1565] /startdir/src/statsmodels/statsmodels/datasets/star98/r_glm.s [194/1565] /startdir/src/statsmodels/statsmodels/datasets/star98/star98.csv [195/1565] /startdir/src/statsmodels/statsmodels/datasets/star98/src/star.bi.dat [196/1565] /startdir/src/statsmodels/statsmodels/datasets/star98/src/star98.dat [197/1565] /startdir/src/statsmodels/statsmodels/datasets/star98/src/star98.names [198/1565] /startdir/src/statsmodels/statsmodels/datasets/statecrime/__init__.py [199/1565] /startdir/src/statsmodels/statsmodels/datasets/statecrime/data.py [200/1565] /startdir/src/statsmodels/statsmodels/datasets/statecrime/statecrime.csv [201/1565] /startdir/src/statsmodels/statsmodels/datasets/strikes/__init__.py [202/1565] /startdir/src/statsmodels/statsmodels/datasets/strikes/data.py [203/1565] /startdir/src/statsmodels/statsmodels/datasets/strikes/strikes.csv [204/1565] /startdir/src/statsmodels/statsmodels/datasets/sunspots/R_sunspots.s [205/1565] /startdir/src/statsmodels/statsmodels/datasets/sunspots/__init__.py [206/1565] /startdir/src/statsmodels/statsmodels/datasets/sunspots/arima_mod.R [207/1565] /startdir/src/statsmodels/statsmodels/datasets/sunspots/data.py [208/1565] /startdir/src/statsmodels/statsmodels/datasets/sunspots/sunspots.csv [209/1565] /startdir/src/statsmodels/statsmodels/datasets/sunspots/src/sunspots_monthly.dat [210/1565] /startdir/src/statsmodels/statsmodels/datasets/sunspots/src/sunspots_yearly.dat [211/1565] /startdir/src/statsmodels/statsmodels/datasets/tests/__init__.py [212/1565] /startdir/src/statsmodels/statsmodels/datasets/tests/test_data.py [213/1565] /startdir/src/statsmodels/statsmodels/datasets/tests/test_utils.py [214/1565] /startdir/src/statsmodels/statsmodels/discrete/__init__.py [215/1565] /startdir/src/statsmodels/statsmodels/discrete/_diagnostics_count.py [216/1565] /startdir/src/statsmodels/statsmodels/discrete/conditional_models.py [217/1565] /startdir/src/statsmodels/statsmodels/discrete/count_model.py [218/1565] /startdir/src/statsmodels/statsmodels/discrete/diagnostic.py [219/1565] /startdir/src/statsmodels/statsmodels/discrete/discrete_margins.py [220/1565] /startdir/src/statsmodels/statsmodels/discrete/discrete_model.py [221/1565] /startdir/src/statsmodels/statsmodels/discrete/truncated_model.py [222/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/__init__.py [223/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/test_conditional.py [224/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/test_constrained.py [225/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/test_count_model.py [226/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/test_diagnostic.py [227/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/test_discrete.py [228/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/test_margins.py [229/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/test_predict.py [230/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/test_sandwich_cov.py [231/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/test_truncated_model.py [232/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/results/__init__.py [233/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/results/mn_logit_summary.txt [234/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/results/mnlogit_resid.csv [235/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/results/nbinom_resids.csv [236/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/results/phat_mnlogit.csv [237/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/results/poisson_resid.csv [238/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/results/predict_prob_poisson.csv [239/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/results/results_count_margins.py [240/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/results/results_count_robust_cluster.py [241/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/results/results_discrete.py [242/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/results/results_glm_logit_constrained.py [243/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/results/results_poisson_constrained.py [244/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/results/results_predict.py [245/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/results/results_truncated.py [246/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/results/results_truncated_st.py [247/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/results/ships.csv [248/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/results/sm3533.csv [249/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/results/yhat_mnlogit.csv [250/1565] /startdir/src/statsmodels/statsmodels/discrete/tests/results/yhat_poisson.csv [251/1565] /startdir/src/statsmodels/statsmodels/distributions/__init__.py [252/1565] /startdir/src/statsmodels/statsmodels/distributions/bernstein.py [253/1565] /startdir/src/statsmodels/statsmodels/distributions/discrete.py [254/1565] /startdir/src/statsmodels/statsmodels/distributions/edgeworth.py [255/1565] /startdir/src/statsmodels/statsmodels/distributions/empirical_distribution.py [256/1565] /startdir/src/statsmodels/statsmodels/distributions/mixture_rvs.py [257/1565] /startdir/src/statsmodels/statsmodels/distributions/tools.py [258/1565] /startdir/src/statsmodels/statsmodels/distributions/copula/__init__.py [259/1565] /startdir/src/statsmodels/statsmodels/distributions/copula/_special.py [260/1565] /startdir/src/statsmodels/statsmodels/distributions/copula/api.py [261/1565] /startdir/src/statsmodels/statsmodels/distributions/copula/archimedean.py [262/1565] /startdir/src/statsmodels/statsmodels/distributions/copula/copulas.py [263/1565] /startdir/src/statsmodels/statsmodels/distributions/copula/depfunc_ev.py [264/1565] /startdir/src/statsmodels/statsmodels/distributions/copula/elliptical.py [265/1565] /startdir/src/statsmodels/statsmodels/distributions/copula/extreme_value.py [266/1565] /startdir/src/statsmodels/statsmodels/distributions/copula/other_copulas.py [267/1565] /startdir/src/statsmodels/statsmodels/distributions/copula/transforms.py [268/1565] /startdir/src/statsmodels/statsmodels/distributions/copula/tests/copula_r_tests.rst [269/1565] /startdir/src/statsmodels/statsmodels/distributions/copula/tests/test_copula.py [270/1565] /startdir/src/statsmodels/statsmodels/distributions/copula/tests/test_model.py [271/1565] /startdir/src/statsmodels/statsmodels/distributions/tests/__init__.py [272/1565] /startdir/src/statsmodels/statsmodels/distributions/tests/test_bernstein.py [273/1565] /startdir/src/statsmodels/statsmodels/distributions/tests/test_discrete.py [274/1565] /startdir/src/statsmodels/statsmodels/distributions/tests/test_ecdf.py [275/1565] /startdir/src/statsmodels/statsmodels/distributions/tests/test_edgeworth.py [276/1565] /startdir/src/statsmodels/statsmodels/distributions/tests/test_mixture.py [277/1565] /startdir/src/statsmodels/statsmodels/distributions/tests/test_tools.py [278/1565] /startdir/src/statsmodels/statsmodels/duration/__init__.py [279/1565] /startdir/src/statsmodels/statsmodels/duration/_kernel_estimates.py [280/1565] /startdir/src/statsmodels/statsmodels/duration/api.py [281/1565] /startdir/src/statsmodels/statsmodels/duration/hazard_regression.py [282/1565] /startdir/src/statsmodels/statsmodels/duration/survfunc.py [283/1565] /startdir/src/statsmodels/statsmodels/duration/tests/__init__.py [284/1565] /startdir/src/statsmodels/statsmodels/duration/tests/test_phreg.py [285/1565] /startdir/src/statsmodels/statsmodels/duration/tests/test_survfunc.py [286/1565] /startdir/src/statsmodels/statsmodels/duration/tests/results/__init__.py [287/1565] /startdir/src/statsmodels/statsmodels/duration/tests/results/bmt.csv [288/1565] /startdir/src/statsmodels/statsmodels/duration/tests/results/bmt_results.csv [289/1565] /startdir/src/statsmodels/statsmodels/duration/tests/results/km_cox1.do [290/1565] /startdir/src/statsmodels/statsmodels/duration/tests/results/phreg_gentests.py [291/1565] /startdir/src/statsmodels/statsmodels/duration/tests/results/survival.R [292/1565] /startdir/src/statsmodels/statsmodels/duration/tests/results/survival_data_1000_10.csv [293/1565] /startdir/src/statsmodels/statsmodels/duration/tests/results/survival_data_100_5.csv [294/1565] /startdir/src/statsmodels/statsmodels/duration/tests/results/survival_data_20_1.csv [295/1565] /startdir/src/statsmodels/statsmodels/duration/tests/results/survival_data_50_1.csv [296/1565] /startdir/src/statsmodels/statsmodels/duration/tests/results/survival_data_50_2.csv [297/1565] /startdir/src/statsmodels/statsmodels/duration/tests/results/survival_enet_r_results.py [298/1565] /startdir/src/statsmodels/statsmodels/duration/tests/results/survival_r_results.py [299/1565] /startdir/src/statsmodels/statsmodels/duration/tests/results/survival_regularized.R [300/1565] /startdir/src/statsmodels/statsmodels/emplike/__init__.py [301/1565] /startdir/src/statsmodels/statsmodels/emplike/aft_el.py [302/1565] /startdir/src/statsmodels/statsmodels/emplike/api.py [303/1565] /startdir/src/statsmodels/statsmodels/emplike/descriptive.py [304/1565] /startdir/src/statsmodels/statsmodels/emplike/elanova.py [305/1565] /startdir/src/statsmodels/statsmodels/emplike/elregress.py [306/1565] /startdir/src/statsmodels/statsmodels/emplike/originregress.py [307/1565] /startdir/src/statsmodels/statsmodels/emplike/tests/__init__.py [308/1565] /startdir/src/statsmodels/statsmodels/emplike/tests/test_aft.py [309/1565] /startdir/src/statsmodels/statsmodels/emplike/tests/test_anova.py [310/1565] /startdir/src/statsmodels/statsmodels/emplike/tests/test_descriptive.py [311/1565] /startdir/src/statsmodels/statsmodels/emplike/tests/test_origin.py [312/1565] /startdir/src/statsmodels/statsmodels/emplike/tests/test_regression.py [313/1565] /startdir/src/statsmodels/statsmodels/emplike/tests/results/__init__.py [314/1565] /startdir/src/statsmodels/statsmodels/emplike/tests/results/el_results.py [315/1565] /startdir/src/statsmodels/statsmodels/formula/__init__.py [316/1565] /startdir/src/statsmodels/statsmodels/formula/_manager.py [317/1565] /startdir/src/statsmodels/statsmodels/formula/api.py [318/1565] /startdir/src/statsmodels/statsmodels/formula/formulatools.py [319/1565] /startdir/src/statsmodels/statsmodels/formula/tests/__init__.py [320/1565] /startdir/src/statsmodels/statsmodels/formula/tests/test_formula.py [321/1565] /startdir/src/statsmodels/statsmodels/formula/tests/test_manager.py [322/1565] /startdir/src/statsmodels/statsmodels/gam/__init__.py [323/1565] /startdir/src/statsmodels/statsmodels/gam/api.py [324/1565] /startdir/src/statsmodels/statsmodels/gam/gam_penalties.py [325/1565] /startdir/src/statsmodels/statsmodels/gam/generalized_additive_model.py [326/1565] /startdir/src/statsmodels/statsmodels/gam/smooth_basis.py [327/1565] /startdir/src/statsmodels/statsmodels/gam/gam_cross_validation/__init__.py [328/1565] /startdir/src/statsmodels/statsmodels/gam/gam_cross_validation/cross_validators.py [329/1565] /startdir/src/statsmodels/statsmodels/gam/gam_cross_validation/gam_cross_validation.py [330/1565] /startdir/src/statsmodels/statsmodels/gam/tests/__init__.py [331/1565] /startdir/src/statsmodels/statsmodels/gam/tests/test_gam.py [332/1565] /startdir/src/statsmodels/statsmodels/gam/tests/test_penalized.py [333/1565] /startdir/src/statsmodels/statsmodels/gam/tests/test_smooth_basis.py [334/1565] /startdir/src/statsmodels/statsmodels/gam/tests/results/__init__.py [335/1565] /startdir/src/statsmodels/statsmodels/gam/tests/results/autos.csv [336/1565] /startdir/src/statsmodels/statsmodels/gam/tests/results/autos_exog.csv [337/1565] /startdir/src/statsmodels/statsmodels/gam/tests/results/autos_predict.csv [338/1565] /startdir/src/statsmodels/statsmodels/gam/tests/results/cubic_cyclic_splines_from_mgcv.csv [339/1565] /startdir/src/statsmodels/statsmodels/gam/tests/results/gam_PIRLS_results.csv [340/1565] /startdir/src/statsmodels/statsmodels/gam/tests/results/logit_gam_mgcv.csv [341/1565] /startdir/src/statsmodels/statsmodels/gam/tests/results/motorcycle.csv [342/1565] /startdir/src/statsmodels/statsmodels/gam/tests/results/prediction_from_mgcv.csv [343/1565] /startdir/src/statsmodels/statsmodels/gam/tests/results/results_mpg_bs.py [344/1565] /startdir/src/statsmodels/statsmodels/gam/tests/results/results_mpg_bs_poisson.py [345/1565] /startdir/src/statsmodels/statsmodels/gam/tests/results/results_mpg_bs_poisson.r [346/1565] /startdir/src/statsmodels/statsmodels/gam/tests/results/results_pls.py [347/1565] /startdir/src/statsmodels/statsmodels/genmod/__init__.py [348/1565] /startdir/src/statsmodels/statsmodels/genmod/_tweedie_compound_poisson.py [349/1565] /startdir/src/statsmodels/statsmodels/genmod/api.py [350/1565] /startdir/src/statsmodels/statsmodels/genmod/bayes_mixed_glm.py [351/1565] /startdir/src/statsmodels/statsmodels/genmod/cov_struct.py [352/1565] /startdir/src/statsmodels/statsmodels/genmod/generalized_estimating_equations.py [353/1565] /startdir/src/statsmodels/statsmodels/genmod/generalized_linear_model.py [354/1565] /startdir/src/statsmodels/statsmodels/genmod/qif.py [355/1565] /startdir/src/statsmodels/statsmodels/genmod/families/__init__.py [356/1565] /startdir/src/statsmodels/statsmodels/genmod/families/family.py [357/1565] /startdir/src/statsmodels/statsmodels/genmod/families/links.py [358/1565] /startdir/src/statsmodels/statsmodels/genmod/families/varfuncs.py [359/1565] /startdir/src/statsmodels/statsmodels/genmod/families/tests/__init__.py [360/1565] /startdir/src/statsmodels/statsmodels/genmod/families/tests/test_family.py [361/1565] /startdir/src/statsmodels/statsmodels/genmod/families/tests/test_link.py [362/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/__init__.py [363/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/gee_categorical_simulation_check.py [364/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/gee_categorical_simulation_check.txt [365/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/gee_gaussian_simulation_check.py [366/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/gee_gaussian_simulation_check.txt [367/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/gee_poisson_simulation_check.py [368/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/gee_poisson_simulation_check.txt [369/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/gee_simulation_check.py [370/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/test_bayes_mixed_glm.py [371/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/test_constrained.py [372/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/test_gee.py [373/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/test_gee_glm.py [374/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/test_glm.py [375/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/test_glm_weights.py [376/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/test_qif.py [377/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/test_score_test.py [378/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/__init__.py [379/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/elastic_net.R [380/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/elastic_net_generate_tests.py [381/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/enet_binomial.csv [382/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/enet_poisson.csv [383/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/epil.csv [384/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/gee_generate_tests.py [385/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/gee_linear_1.csv [386/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/gee_logistic_1.csv [387/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/gee_nested_linear_1.csv [388/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/gee_nominal_1.csv [389/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/gee_ordinal_1.csv [390/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/gee_poisson_1.csv [391/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/glm_test_resids.py [392/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/glmnet_r_results.py [393/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/igaussident_resids.csv [394/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/inv_gaussian.csv [395/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/iris.csv [396/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/medparlogresids.csv [397/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/poisson_weights_v2.do [398/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/res_R_var_weight.py [399/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/results_glm.py [400/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/results_glm_poisson_weights.py [401/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/results_tweedie_aweights_nonrobust.csv [402/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/stata_cancer_glm.csv [403/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/stata_lbw_glm.csv [404/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/stata_medpar1_glm.csv [405/1565] /startdir/src/statsmodels/statsmodels/genmod/tests/results/test_get_R_tweedie_var_weight.R [406/1565] /startdir/src/statsmodels/statsmodels/graphics/__init__.py [407/1565] /startdir/src/statsmodels/statsmodels/graphics/_regressionplots_doc.py [408/1565] /startdir/src/statsmodels/statsmodels/graphics/agreement.py [409/1565] /startdir/src/statsmodels/statsmodels/graphics/api.py [410/1565] /startdir/src/statsmodels/statsmodels/graphics/boxplots.py [411/1565] /startdir/src/statsmodels/statsmodels/graphics/correlation.py [412/1565] /startdir/src/statsmodels/statsmodels/graphics/dotplots.py [413/1565] /startdir/src/statsmodels/statsmodels/graphics/factorplots.py [414/1565] /startdir/src/statsmodels/statsmodels/graphics/functional.py [415/1565] /startdir/src/statsmodels/statsmodels/graphics/gofplots.py [416/1565] /startdir/src/statsmodels/statsmodels/graphics/mosaicplot.py [417/1565] /startdir/src/statsmodels/statsmodels/graphics/plot_grids.py [418/1565] /startdir/src/statsmodels/statsmodels/graphics/plottools.py [419/1565] /startdir/src/statsmodels/statsmodels/graphics/regressionplots.py [420/1565] /startdir/src/statsmodels/statsmodels/graphics/tsaplots.py [421/1565] /startdir/src/statsmodels/statsmodels/graphics/tukeyplot.py [422/1565] /startdir/src/statsmodels/statsmodels/graphics/utils.py [423/1565] /startdir/src/statsmodels/statsmodels/graphics/tests/__init__.py [424/1565] /startdir/src/statsmodels/statsmodels/graphics/tests/test_agreement.py [425/1565] /startdir/src/statsmodels/statsmodels/graphics/tests/test_boxplots.py [426/1565] /startdir/src/statsmodels/statsmodels/graphics/tests/test_correlation.py [427/1565] /startdir/src/statsmodels/statsmodels/graphics/tests/test_dotplot.py [428/1565] /startdir/src/statsmodels/statsmodels/graphics/tests/test_factorplots.py [429/1565] /startdir/src/statsmodels/statsmodels/graphics/tests/test_functional.py [430/1565] /startdir/src/statsmodels/statsmodels/graphics/tests/test_gofplots.py [431/1565] /startdir/src/statsmodels/statsmodels/graphics/tests/test_mosaicplot.py [432/1565] /startdir/src/statsmodels/statsmodels/graphics/tests/test_plot_grids.py [433/1565] /startdir/src/statsmodels/statsmodels/graphics/tests/test_regressionplots.py [434/1565] /startdir/src/statsmodels/statsmodels/graphics/tests/test_tsaplots.py [435/1565] /startdir/src/statsmodels/statsmodels/graphics/tests/test_utils.py [436/1565] /startdir/src/statsmodels/statsmodels/imputation/__init__.py [437/1565] /startdir/src/statsmodels/statsmodels/imputation/bayes_mi.py [438/1565] /startdir/src/statsmodels/statsmodels/imputation/mice.py [439/1565] /startdir/src/statsmodels/statsmodels/imputation/ros.py [440/1565] /startdir/src/statsmodels/statsmodels/imputation/tests/__init__.py [441/1565] /startdir/src/statsmodels/statsmodels/imputation/tests/test_bayes_mi.py [442/1565] /startdir/src/statsmodels/statsmodels/imputation/tests/test_mice.py [443/1565] /startdir/src/statsmodels/statsmodels/imputation/tests/test_ros.py [444/1565] /startdir/src/statsmodels/statsmodels/includes/__init__.pxd [445/1565] /startdir/src/statsmodels/statsmodels/includes/__init__.py [446/1565] /startdir/src/statsmodels/statsmodels/includes/_complex_shim.h [447/1565] /startdir/src/statsmodels/statsmodels/includes/blas_lapack.pxd [448/1565] /startdir/src/statsmodels/statsmodels/includes/capsule.h [449/1565] /startdir/src/statsmodels/statsmodels/includes/math.pxd [450/1565] /startdir/src/statsmodels/statsmodels/includes/meson.build [451/1565] /startdir/src/statsmodels/statsmodels/iolib/__init__.py [452/1565] /startdir/src/statsmodels/statsmodels/iolib/api.py [453/1565] /startdir/src/statsmodels/statsmodels/iolib/foreign.py [454/1565] /startdir/src/statsmodels/statsmodels/iolib/openfile.py [455/1565] /startdir/src/statsmodels/statsmodels/iolib/smpickle.py [456/1565] /startdir/src/statsmodels/statsmodels/iolib/stata_summary_examples.py [457/1565] /startdir/src/statsmodels/statsmodels/iolib/summary.py [458/1565] /startdir/src/statsmodels/statsmodels/iolib/summary2.py [459/1565] /startdir/src/statsmodels/statsmodels/iolib/table.py [460/1565] /startdir/src/statsmodels/statsmodels/iolib/tableformatting.py [461/1565] /startdir/src/statsmodels/statsmodels/iolib/tests/__init__.py [462/1565] /startdir/src/statsmodels/statsmodels/iolib/tests/gen_dates.do [463/1565] /startdir/src/statsmodels/statsmodels/iolib/tests/stata_dates.csv [464/1565] /startdir/src/statsmodels/statsmodels/iolib/tests/test_data.csv [465/1565] /startdir/src/statsmodels/statsmodels/iolib/tests/test_foreign.py [466/1565] /startdir/src/statsmodels/statsmodels/iolib/tests/test_pickle.py [467/1565] /startdir/src/statsmodels/statsmodels/iolib/tests/test_summary.py [468/1565] /startdir/src/statsmodels/statsmodels/iolib/tests/test_summary2.py [469/1565] /startdir/src/statsmodels/statsmodels/iolib/tests/test_summary_old.py [470/1565] /startdir/src/statsmodels/statsmodels/iolib/tests/test_table.py [471/1565] /startdir/src/statsmodels/statsmodels/iolib/tests/test_table_econpy.py [472/1565] /startdir/src/statsmodels/statsmodels/iolib/tests/results/__init__.py [473/1565] /startdir/src/statsmodels/statsmodels/iolib/tests/results/data_missing.dta [474/1565] /startdir/src/statsmodels/statsmodels/iolib/tests/results/macrodata.py [475/1565] /startdir/src/statsmodels/statsmodels/iolib/tests/results/time_series_examples.dta [476/1565] /startdir/src/statsmodels/statsmodels/miscmodels/__init__.py [477/1565] /startdir/src/statsmodels/statsmodels/miscmodels/api.py [478/1565] /startdir/src/statsmodels/statsmodels/miscmodels/count.py [479/1565] /startdir/src/statsmodels/statsmodels/miscmodels/nonlinls.py [480/1565] /startdir/src/statsmodels/statsmodels/miscmodels/ordinal_model.py [481/1565] /startdir/src/statsmodels/statsmodels/miscmodels/tmodel.py [482/1565] /startdir/src/statsmodels/statsmodels/miscmodels/try_mlecov.py [483/1565] /startdir/src/statsmodels/statsmodels/miscmodels/tests/__init__.py [484/1565] /startdir/src/statsmodels/statsmodels/miscmodels/tests/results_tmodel.py [485/1565] /startdir/src/statsmodels/statsmodels/miscmodels/tests/test_generic_mle.py [486/1565] /startdir/src/statsmodels/statsmodels/miscmodels/tests/test_ordinal_model.py [487/1565] /startdir/src/statsmodels/statsmodels/miscmodels/tests/test_poisson.py [488/1565] /startdir/src/statsmodels/statsmodels/miscmodels/tests/test_tmodel.py [489/1565] /startdir/src/statsmodels/statsmodels/miscmodels/tests/results/__init__.py [490/1565] /startdir/src/statsmodels/statsmodels/miscmodels/tests/results/ologit_ucla.csv [491/1565] /startdir/src/statsmodels/statsmodels/miscmodels/tests/results/results_ordinal_model.py [492/1565] /startdir/src/statsmodels/statsmodels/multivariate/__init__.py [493/1565] /startdir/src/statsmodels/statsmodels/multivariate/api.py [494/1565] /startdir/src/statsmodels/statsmodels/multivariate/cancorr.py [495/1565] /startdir/src/statsmodels/statsmodels/multivariate/factor.py [496/1565] /startdir/src/statsmodels/statsmodels/multivariate/manova.py [497/1565] /startdir/src/statsmodels/statsmodels/multivariate/multivariate_ols.py [498/1565] /startdir/src/statsmodels/statsmodels/multivariate/pca.py [499/1565] /startdir/src/statsmodels/statsmodels/multivariate/plots.py [500/1565] /startdir/src/statsmodels/statsmodels/multivariate/factor_rotation/COPYRIGHTS.txt [501/1565] /startdir/src/statsmodels/statsmodels/multivariate/factor_rotation/LICENSE.txt [502/1565] /startdir/src/statsmodels/statsmodels/multivariate/factor_rotation/__init__.py [503/1565] /startdir/src/statsmodels/statsmodels/multivariate/factor_rotation/_analytic_rotation.py [504/1565] /startdir/src/statsmodels/statsmodels/multivariate/factor_rotation/_gpa_rotation.py [505/1565] /startdir/src/statsmodels/statsmodels/multivariate/factor_rotation/_wrappers.py [506/1565] /startdir/src/statsmodels/statsmodels/multivariate/factor_rotation/tests/__init__.py [507/1565] /startdir/src/statsmodels/statsmodels/multivariate/factor_rotation/tests/test_rotation.py [508/1565] /startdir/src/statsmodels/statsmodels/multivariate/tests/__init__.py [509/1565] /startdir/src/statsmodels/statsmodels/multivariate/tests/test_cancorr.py [510/1565] /startdir/src/statsmodels/statsmodels/multivariate/tests/test_factor.py [511/1565] /startdir/src/statsmodels/statsmodels/multivariate/tests/test_manova.py [512/1565] /startdir/src/statsmodels/statsmodels/multivariate/tests/test_ml_factor.py [513/1565] /startdir/src/statsmodels/statsmodels/multivariate/tests/test_multivariate_ols.py [514/1565] /startdir/src/statsmodels/statsmodels/multivariate/tests/test_pca.py [515/1565] /startdir/src/statsmodels/statsmodels/multivariate/tests/results/__init__.py [516/1565] /startdir/src/statsmodels/statsmodels/multivariate/tests/results/datamlw.py [517/1565] /startdir/src/statsmodels/statsmodels/multivariate/tests/results/factor_data.csv [518/1565] /startdir/src/statsmodels/statsmodels/multivariate/tests/results/factors_stata.csv [519/1565] /startdir/src/statsmodels/statsmodels/multivariate/tests/results/mvreg.csv [520/1565] /startdir/src/statsmodels/statsmodels/nonparametric/__init__.py [521/1565] /startdir/src/statsmodels/statsmodels/nonparametric/_kernel_base.py [522/1565] /startdir/src/statsmodels/statsmodels/nonparametric/_smoothers_lowess.pyx [523/1565] /startdir/src/statsmodels/statsmodels/nonparametric/api.py [524/1565] /startdir/src/statsmodels/statsmodels/nonparametric/bandwidths.py [525/1565] /startdir/src/statsmodels/statsmodels/nonparametric/kde.py [526/1565] /startdir/src/statsmodels/statsmodels/nonparametric/kdetools.py [527/1565] /startdir/src/statsmodels/statsmodels/nonparametric/kernel_density.py [528/1565] /startdir/src/statsmodels/statsmodels/nonparametric/kernel_regression.py [529/1565] /startdir/src/statsmodels/statsmodels/nonparametric/kernels.py [530/1565] /startdir/src/statsmodels/statsmodels/nonparametric/kernels_asymmetric.py [531/1565] /startdir/src/statsmodels/statsmodels/nonparametric/linbin.pyx [532/1565] /startdir/src/statsmodels/statsmodels/nonparametric/meson.build [533/1565] /startdir/src/statsmodels/statsmodels/nonparametric/smoothers_lowess.py [534/1565] /startdir/src/statsmodels/statsmodels/nonparametric/smoothers_lowess_old.py [535/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/Xi_test_data.csv [536/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/__init__.py [537/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/test_asymmetric.py [538/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/test_bandwidths.py [539/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/test_kde.py [540/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/test_kernel_density.py [541/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/test_kernel_regression.py [542/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/test_kernels.py [543/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/test_lowess.py [544/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/results/__init__.py [545/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/results/results_kcde.csv [546/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/results/results_kde.csv [547/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/results/results_kde_fft.csv [548/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/results/results_kde_univ_weights.csv [549/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/results/results_kde_weights.csv [550/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/results/results_kernel_regression.csv [551/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/results/test_lowess_delta.csv [552/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/results/test_lowess_frac.csv [553/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/results/test_lowess_iter.csv [554/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/results/test_lowess_r_outputs.R [555/1565] /startdir/src/statsmodels/statsmodels/nonparametric/tests/results/test_lowess_simple.csv [556/1565] /startdir/src/statsmodels/statsmodels/othermod/__init__.py [557/1565] /startdir/src/statsmodels/statsmodels/othermod/api.py [558/1565] /startdir/src/statsmodels/statsmodels/othermod/betareg.py [559/1565] /startdir/src/statsmodels/statsmodels/othermod/tests/__init__.py [560/1565] /startdir/src/statsmodels/statsmodels/othermod/tests/test_beta.py [561/1565] /startdir/src/statsmodels/statsmodels/othermod/tests/results/__init__.py [562/1565] /startdir/src/statsmodels/statsmodels/othermod/tests/results/foodexpenditure.csv [563/1565] /startdir/src/statsmodels/statsmodels/othermod/tests/results/methylation-test.csv [564/1565] /startdir/src/statsmodels/statsmodels/othermod/tests/results/resid_methylation.csv [565/1565] /startdir/src/statsmodels/statsmodels/othermod/tests/results/results_betareg.py [566/1565] /startdir/src/statsmodels/statsmodels/regression/__init__.py [567/1565] /startdir/src/statsmodels/statsmodels/regression/_prediction.py [568/1565] /startdir/src/statsmodels/statsmodels/regression/_tools.py [569/1565] /startdir/src/statsmodels/statsmodels/regression/dimred.py [570/1565] /startdir/src/statsmodels/statsmodels/regression/feasible_gls.py [571/1565] /startdir/src/statsmodels/statsmodels/regression/linear_model.py [572/1565] /startdir/src/statsmodels/statsmodels/regression/mixed_linear_model.py [573/1565] /startdir/src/statsmodels/statsmodels/regression/process_regression.py [574/1565] /startdir/src/statsmodels/statsmodels/regression/quantile_regression.py [575/1565] /startdir/src/statsmodels/statsmodels/regression/recursive_ls.py [576/1565] /startdir/src/statsmodels/statsmodels/regression/rolling.py [577/1565] /startdir/src/statsmodels/statsmodels/regression/tests/__init__.py [578/1565] /startdir/src/statsmodels/statsmodels/regression/tests/lme_examples.R [579/1565] /startdir/src/statsmodels/statsmodels/regression/tests/test_cov.py [580/1565] /startdir/src/statsmodels/statsmodels/regression/tests/test_dimred.py [581/1565] /startdir/src/statsmodels/statsmodels/regression/tests/test_glsar_gretl.py [582/1565] /startdir/src/statsmodels/statsmodels/regression/tests/test_glsar_stata.py [583/1565] /startdir/src/statsmodels/statsmodels/regression/tests/test_lme.py [584/1565] /startdir/src/statsmodels/statsmodels/regression/tests/test_predict.py [585/1565] /startdir/src/statsmodels/statsmodels/regression/tests/test_processreg.py [586/1565] /startdir/src/statsmodels/statsmodels/regression/tests/test_quantile_regression.py [587/1565] /startdir/src/statsmodels/statsmodels/regression/tests/test_recursive_ls.py [588/1565] /startdir/src/statsmodels/statsmodels/regression/tests/test_regression.py [589/1565] /startdir/src/statsmodels/statsmodels/regression/tests/test_robustcov.py [590/1565] /startdir/src/statsmodels/statsmodels/regression/tests/test_rolling.py [591/1565] /startdir/src/statsmodels/statsmodels/regression/tests/test_theil.py [592/1565] /startdir/src/statsmodels/statsmodels/regression/tests/test_tools.py [593/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/__init__.py [594/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/dietox.csv [595/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/generate_lasso.py [596/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/generate_lme.py [597/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/glmnet_r_results.py [598/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/lasso_data.csv [599/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/lasso_r_results.R [600/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/leverage_influence_ols_nostars.txt [601/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/lme00.csv [602/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/lme01.csv [603/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/lme02.csv [604/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/lme03.csv [605/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/lme04.csv [606/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/lme05.csv [607/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/lme06.csv [608/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/lme07.csv [609/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/lme08.csv [610/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/lme09.csv [611/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/lme10.csv [612/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/lme11.csv [613/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/lme_r_results.py [614/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/lme_results.R [615/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/macro_gr_corc_stata.py [616/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/pastes.csv [617/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/results_grunfeld_ols_robust_cluster.py [618/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/results_macro_ols_robust.py [619/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/results_quantile_regression.py [620/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/results_regression.py [621/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/results_rls_R.csv [622/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/results_rls_stata.csv [623/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/results_theil_textile.py [624/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/test_rls.R [625/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/test_rls.do [626/1565] /startdir/src/statsmodels/statsmodels/regression/tests/results/theil_textile_predict.csv [627/1565] /startdir/src/statsmodels/statsmodels/robust/__init__.py [628/1565] /startdir/src/statsmodels/statsmodels/robust/_qn.pyx [629/1565] /startdir/src/statsmodels/statsmodels/robust/_tables.py [630/1565] /startdir/src/statsmodels/statsmodels/robust/covariance.py [631/1565] /startdir/src/statsmodels/statsmodels/robust/meson.build [632/1565] /startdir/src/statsmodels/statsmodels/robust/norms.py [633/1565] /startdir/src/statsmodels/statsmodels/robust/resistant_linear_model.py [634/1565] /startdir/src/statsmodels/statsmodels/robust/robust_linear_model.py [635/1565] /startdir/src/statsmodels/statsmodels/robust/scale.py [636/1565] /startdir/src/statsmodels/statsmodels/robust/tools.py [637/1565] /startdir/src/statsmodels/statsmodels/robust/tests/__init__.py [638/1565] /startdir/src/statsmodels/statsmodels/robust/tests/test_covariance.py [639/1565] /startdir/src/statsmodels/statsmodels/robust/tests/test_mquantiles.py [640/1565] /startdir/src/statsmodels/statsmodels/robust/tests/test_norms.py [641/1565] /startdir/src/statsmodels/statsmodels/robust/tests/test_resistant_linear_model.py [642/1565] /startdir/src/statsmodels/statsmodels/robust/tests/test_rlm.py [643/1565] /startdir/src/statsmodels/statsmodels/robust/tests/test_scale.py [644/1565] /startdir/src/statsmodels/statsmodels/robust/tests/test_tools.py [645/1565] /startdir/src/statsmodels/statsmodels/robust/tests/results/__init__.py [646/1565] /startdir/src/statsmodels/statsmodels/robust/tests/results/hbk.csv [647/1565] /startdir/src/statsmodels/statsmodels/robust/tests/results/results_cov.py [648/1565] /startdir/src/statsmodels/statsmodels/robust/tests/results/results_norms.py [649/1565] /startdir/src/statsmodels/statsmodels/robust/tests/results/results_rlm.py [650/1565] /startdir/src/statsmodels/statsmodels/sandbox/__init__.py [651/1565] /startdir/src/statsmodels/statsmodels/sandbox/rlsdata.txt [652/1565] /startdir/src/statsmodels/statsmodels/sandbox/distributions/__init__.py [653/1565] /startdir/src/statsmodels/statsmodels/sandbox/distributions/extras.py [654/1565] /startdir/src/statsmodels/statsmodels/sandbox/distributions/multivariate.py [655/1565] /startdir/src/statsmodels/statsmodels/sandbox/distributions/mv_normal.py [656/1565] /startdir/src/statsmodels/statsmodels/sandbox/distributions/tests/__init__.py [657/1565] /startdir/src/statsmodels/statsmodels/sandbox/distributions/tests/test_extras.py [658/1565] /startdir/src/statsmodels/statsmodels/sandbox/distributions/tests/test_multivariate.py [659/1565] /startdir/src/statsmodels/statsmodels/sandbox/distributions/tests/test_mv_normal.py [660/1565] /startdir/src/statsmodels/statsmodels/sandbox/distributions/tests/test_norm_expan.py [661/1565] /startdir/src/statsmodels/statsmodels/sandbox/distributions/tests/test_transf.py [662/1565] /startdir/src/statsmodels/statsmodels/sandbox/nonparametric/__init__.py [663/1565] /startdir/src/statsmodels/statsmodels/sandbox/nonparametric/kernels.py [664/1565] /startdir/src/statsmodels/statsmodels/sandbox/nonparametric/smoothers.py [665/1565] /startdir/src/statsmodels/statsmodels/sandbox/nonparametric/tests/__init__.py [666/1565] /startdir/src/statsmodels/statsmodels/sandbox/nonparametric/tests/test_kernels.py [667/1565] /startdir/src/statsmodels/statsmodels/sandbox/nonparametric/tests/test_smoothers.py [668/1565] /startdir/src/statsmodels/statsmodels/sandbox/panel/__init__.py [669/1565] /startdir/src/statsmodels/statsmodels/sandbox/panel/correlation_structures.py [670/1565] /startdir/src/statsmodels/statsmodels/sandbox/panel/panel_short.py [671/1565] /startdir/src/statsmodels/statsmodels/sandbox/panel/random_panel.py [672/1565] /startdir/src/statsmodels/statsmodels/sandbox/panel/tests/__init__.py [673/1565] /startdir/src/statsmodels/statsmodels/sandbox/panel/tests/test_correlation_structures.py [674/1565] /startdir/src/statsmodels/statsmodels/sandbox/panel/tests/test_random_panel.py [675/1565] /startdir/src/statsmodels/statsmodels/sandbox/regression/__init__.py [676/1565] /startdir/src/statsmodels/statsmodels/sandbox/regression/gmm.py [677/1565] /startdir/src/statsmodels/statsmodels/sandbox/regression/penalized.py [678/1565] /startdir/src/statsmodels/statsmodels/sandbox/regression/predstd.py [679/1565] /startdir/src/statsmodels/statsmodels/sandbox/regression/tests/__init__.py [680/1565] /startdir/src/statsmodels/statsmodels/sandbox/regression/tests/griliches76.dta [681/1565] /startdir/src/statsmodels/statsmodels/sandbox/regression/tests/racd10data_with_transformed.csv [682/1565] /startdir/src/statsmodels/statsmodels/sandbox/regression/tests/results_gmm_griliches.py [683/1565] /startdir/src/statsmodels/statsmodels/sandbox/regression/tests/results_gmm_griliches_iter.py [684/1565] /startdir/src/statsmodels/statsmodels/sandbox/regression/tests/results_gmm_poisson.py [685/1565] /startdir/src/statsmodels/statsmodels/sandbox/regression/tests/results_ivreg2_griliches.py [686/1565] /startdir/src/statsmodels/statsmodels/sandbox/regression/tests/test_gmm.py [687/1565] /startdir/src/statsmodels/statsmodels/sandbox/regression/tests/test_gmm_poisson.py [688/1565] /startdir/src/statsmodels/statsmodels/sandbox/regression/tests/test_predstd.py [689/1565] /startdir/src/statsmodels/statsmodels/sandbox/stats/__init__.py [690/1565] /startdir/src/statsmodels/statsmodels/sandbox/stats/multicomp.py [691/1565] /startdir/src/statsmodels/statsmodels/sandbox/stats/notes_fdr.txt [692/1565] /startdir/src/statsmodels/statsmodels/sandbox/stats/runs.py [693/1565] /startdir/src/statsmodels/statsmodels/sandbox/stats/tests/__init__.py [694/1565] /startdir/src/statsmodels/statsmodels/sandbox/stats/tests/test_multicomp.py [695/1565] /startdir/src/statsmodels/statsmodels/sandbox/stats/tests/test_runs.py [696/1565] /startdir/src/statsmodels/statsmodels/sandbox/tests/__init__.py [697/1565] /startdir/src/statsmodels/statsmodels/sandbox/tests/test_pca.py [698/1565] /startdir/src/statsmodels/statsmodels/sandbox/tools/TODO.txt [699/1565] /startdir/src/statsmodels/statsmodels/sandbox/tools/__init__.py [700/1565] /startdir/src/statsmodels/statsmodels/sandbox/tools/cross_val.py [701/1565] /startdir/src/statsmodels/statsmodels/sandbox/tools/tools_pca.py [702/1565] /startdir/src/statsmodels/statsmodels/sandbox/tools/tests/__init__.py [703/1565] /startdir/src/statsmodels/statsmodels/sandbox/tools/tests/test_cross_val.py [704/1565] /startdir/src/statsmodels/statsmodels/sandbox/tsa/__init__.py [705/1565] /startdir/src/statsmodels/statsmodels/sandbox/tsa/fftarma.py [706/1565] /startdir/src/statsmodels/statsmodels/sandbox/tsa/movstat.py [707/1565] /startdir/src/statsmodels/statsmodels/sandbox/tsa/tests/__init__.py [708/1565] /startdir/src/statsmodels/statsmodels/sandbox/tsa/tests/test_fftarma.py [709/1565] /startdir/src/statsmodels/statsmodels/sandbox/tsa/tests/test_movstat.py [710/1565] /startdir/src/statsmodels/statsmodels/stats/__init__.py [711/1565] /startdir/src/statsmodels/statsmodels/stats/_adnorm.py [712/1565] /startdir/src/statsmodels/statsmodels/stats/_delta_method.py [713/1565] /startdir/src/statsmodels/statsmodels/stats/_diagnostic_other.py [714/1565] /startdir/src/statsmodels/statsmodels/stats/_inference_tools.py [715/1565] /startdir/src/statsmodels/statsmodels/stats/_knockoff.py [716/1565] /startdir/src/statsmodels/statsmodels/stats/_lilliefors.py [717/1565] /startdir/src/statsmodels/statsmodels/stats/_lilliefors_critical_values.py [718/1565] /startdir/src/statsmodels/statsmodels/stats/_results_store.py [719/1565] /startdir/src/statsmodels/statsmodels/stats/anova.py [720/1565] /startdir/src/statsmodels/statsmodels/stats/api.py [721/1565] /startdir/src/statsmodels/statsmodels/stats/base.py [722/1565] /startdir/src/statsmodels/statsmodels/stats/contingency_tables.py [723/1565] /startdir/src/statsmodels/statsmodels/stats/contrast.py [724/1565] /startdir/src/statsmodels/statsmodels/stats/correlation_tools.py [725/1565] /startdir/src/statsmodels/statsmodels/stats/covariance.py [726/1565] /startdir/src/statsmodels/statsmodels/stats/descriptivestats.py [727/1565] /startdir/src/statsmodels/statsmodels/stats/diagnostic.py [728/1565] /startdir/src/statsmodels/statsmodels/stats/diagnostic_gen.py [729/1565] /startdir/src/statsmodels/statsmodels/stats/dist_dependence_measures.py [730/1565] /startdir/src/statsmodels/statsmodels/stats/effect_size.py [731/1565] /startdir/src/statsmodels/statsmodels/stats/gof.py [732/1565] /startdir/src/statsmodels/statsmodels/stats/inter_rater.py [733/1565] /startdir/src/statsmodels/statsmodels/stats/knockoff_regeffects.py [734/1565] /startdir/src/statsmodels/statsmodels/stats/mediation.py [735/1565] /startdir/src/statsmodels/statsmodels/stats/meta_analysis.py [736/1565] /startdir/src/statsmodels/statsmodels/stats/moment_helpers.py [737/1565] /startdir/src/statsmodels/statsmodels/stats/multicomp.py [738/1565] /startdir/src/statsmodels/statsmodels/stats/multitest.py [739/1565] /startdir/src/statsmodels/statsmodels/stats/multivariate.py [740/1565] /startdir/src/statsmodels/statsmodels/stats/multivariate_tools.py [741/1565] /startdir/src/statsmodels/statsmodels/stats/nonparametric.py [742/1565] /startdir/src/statsmodels/statsmodels/stats/oaxaca.py [743/1565] /startdir/src/statsmodels/statsmodels/stats/oneway.py [744/1565] /startdir/src/statsmodels/statsmodels/stats/outliers_influence.py [745/1565] /startdir/src/statsmodels/statsmodels/stats/power.py [746/1565] /startdir/src/statsmodels/statsmodels/stats/proportion.py [747/1565] /startdir/src/statsmodels/statsmodels/stats/rates.py [748/1565] /startdir/src/statsmodels/statsmodels/stats/regularized_covariance.py [749/1565] /startdir/src/statsmodels/statsmodels/stats/robust_compare.py [750/1565] /startdir/src/statsmodels/statsmodels/stats/sandwich_covariance.py [751/1565] /startdir/src/statsmodels/statsmodels/stats/stattools.py [752/1565] /startdir/src/statsmodels/statsmodels/stats/tabledist.py [753/1565] /startdir/src/statsmodels/statsmodels/stats/weightstats.py [754/1565] /startdir/src/statsmodels/statsmodels/stats/libqsturng/CH.r [755/1565] /startdir/src/statsmodels/statsmodels/stats/libqsturng/LICENSE.txt [756/1565] /startdir/src/statsmodels/statsmodels/stats/libqsturng/__init__.py [757/1565] /startdir/src/statsmodels/statsmodels/stats/libqsturng/make_tbls.py [758/1565] /startdir/src/statsmodels/statsmodels/stats/libqsturng/qsturng_.py [759/1565] /startdir/src/statsmodels/statsmodels/stats/libqsturng/tests/__init__.py [760/1565] /startdir/src/statsmodels/statsmodels/stats/libqsturng/tests/bootleg.dat [761/1565] /startdir/src/statsmodels/statsmodels/stats/libqsturng/tests/test_qsturng.py [762/1565] /startdir/src/statsmodels/statsmodels/stats/tests/__init__.py [763/1565] /startdir/src/statsmodels/statsmodels/stats/tests/gen_contingency_table_tests.R [764/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_anova.py [765/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_anova_rm.py [766/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_base.py [767/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_contingency_tables.py [768/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_contrast.py [769/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_correlation.py [770/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_corrpsd.py [771/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_covariance.py [772/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_data.txt [773/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_deltacov.py [774/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_descriptivestats.py [775/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_diagnostic.py [776/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_diagnostic_other.py [777/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_dist_dependant_measures.py [778/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_effectsize.py [779/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_gof.py [780/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_groups_sw.py [781/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_inference_tools.py [782/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_influence.py [783/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_inter_rater.py [784/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_knockoff.py [785/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_lilliefors.py [786/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_limited_iteration_mixin.py [787/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_mediation.py [788/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_meta.py [789/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_moment_helpers.py [790/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_multi.py [791/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_multivariate.py [792/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_multivariate_tools.py [793/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_nonparametric.py [794/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_oaxaca.py [795/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_oneway.py [796/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_outliers_influence.py [797/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_pairwise.py [798/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_panel_robustcov.py [799/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_power.py [800/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_proportion.py [801/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_qsturng.py [802/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_rates_poisson.py [803/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_regularized_covariance.py [804/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_robust_compare.py [805/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_sandwich.py [806/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_statstools.py [807/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_tabledist.py [808/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_tost.py [809/1565] /startdir/src/statsmodels/statsmodels/stats/tests/test_weightstats.py [810/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/__init__.py [811/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/anova-rm-test-data.csv [812/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/anova.R [813/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/binary_constrict.csv [814/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/bootleg.csv [815/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/contingency_table_r_results.csv [816/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/data.dat [817/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/framing.csv [818/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/generate_results_rank_compare_sample_size.R [819/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/influence_lsdiag_R.json [820/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/influence_measures_R.csv [821/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/influence_measures_bool_R.csv [822/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/lilliefors_critical_value_simulation.py [823/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/results_influence_logit.csv [824/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/results_meta.py [825/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/results_multinomial_proportions.py [826/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/results_panelrobust.py [827/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/results_power.py [828/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/results_proportion.py [829/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/results_rates.py [830/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/results_samplesize_rank_compare_onetail.csv [831/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/wspec1.csv [832/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/wspec2.csv [833/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/wspec3.csv [834/1565] /startdir/src/statsmodels/statsmodels/stats/tests/results/wspec4.csv [835/1565] /startdir/src/statsmodels/statsmodels/tests/__init__.py [836/1565] /startdir/src/statsmodels/statsmodels/tests/test_deprecated_estimators.py [837/1565] /startdir/src/statsmodels/statsmodels/tests/test_package.py [838/1565] /startdir/src/statsmodels/statsmodels/tests/test_x13.py [839/1565] /startdir/src/statsmodels/statsmodels/tools/__init__.py [840/1565] /startdir/src/statsmodels/statsmodels/tools/_decorators.py [841/1565] /startdir/src/statsmodels/statsmodels/tools/_test_runner.py [842/1565] /startdir/src/statsmodels/statsmodels/tools/_testing.py [843/1565] /startdir/src/statsmodels/statsmodels/tools/catadd.py [844/1565] /startdir/src/statsmodels/statsmodels/tools/data.py [845/1565] /startdir/src/statsmodels/statsmodels/tools/docstring.py [846/1565] /startdir/src/statsmodels/statsmodels/tools/docstring_helpers.py [847/1565] /startdir/src/statsmodels/statsmodels/tools/eval_measures.py [848/1565] /startdir/src/statsmodels/statsmodels/tools/grouputils.py [849/1565] /startdir/src/statsmodels/statsmodels/tools/linalg.py [850/1565] /startdir/src/statsmodels/statsmodels/tools/numdiff.py [851/1565] /startdir/src/statsmodels/statsmodels/tools/parallel.py [852/1565] /startdir/src/statsmodels/statsmodels/tools/print_version.py [853/1565] /startdir/src/statsmodels/statsmodels/tools/rng_qrng.py [854/1565] /startdir/src/statsmodels/statsmodels/tools/rootfinding.py [855/1565] /startdir/src/statsmodels/statsmodels/tools/sequences.py [856/1565] /startdir/src/statsmodels/statsmodels/tools/sm_exceptions.py [857/1565] /startdir/src/statsmodels/statsmodels/tools/testing.py [858/1565] /startdir/src/statsmodels/statsmodels/tools/tools.py [859/1565] /startdir/src/statsmodels/statsmodels/tools/transform_model.py [860/1565] /startdir/src/statsmodels/statsmodels/tools/typing.py [861/1565] /startdir/src/statsmodels/statsmodels/tools/web.py [862/1565] /startdir/src/statsmodels/statsmodels/tools/tests/__init__.py [863/1565] /startdir/src/statsmodels/statsmodels/tools/tests/test_catadd.py [864/1565] /startdir/src/statsmodels/statsmodels/tools/tests/test_data.py [865/1565] /startdir/src/statsmodels/statsmodels/tools/tests/test_decorators.py [866/1565] /startdir/src/statsmodels/statsmodels/tools/tests/test_docstring.py [867/1565] /startdir/src/statsmodels/statsmodels/tools/tests/test_docstring_helpers.py [868/1565] /startdir/src/statsmodels/statsmodels/tools/tests/test_eval_measures.py [869/1565] /startdir/src/statsmodels/statsmodels/tools/tests/test_grouputils.py [870/1565] /startdir/src/statsmodels/statsmodels/tools/tests/test_linalg.py [871/1565] /startdir/src/statsmodels/statsmodels/tools/tests/test_numdiff.py [872/1565] /startdir/src/statsmodels/statsmodels/tools/tests/test_parallel.py [873/1565] /startdir/src/statsmodels/statsmodels/tools/tests/test_print_version.py [874/1565] /startdir/src/statsmodels/statsmodels/tools/tests/test_rng_qrng.py [875/1565] /startdir/src/statsmodels/statsmodels/tools/tests/test_rootfinding.py [876/1565] /startdir/src/statsmodels/statsmodels/tools/tests/test_sequences.py [877/1565] /startdir/src/statsmodels/statsmodels/tools/tests/test_sm_exceptions.py [878/1565] /startdir/src/statsmodels/statsmodels/tools/tests/test_testing.py [879/1565] /startdir/src/statsmodels/statsmodels/tools/tests/test_tools.py [880/1565] /startdir/src/statsmodels/statsmodels/tools/tests/test_transform_model.py [881/1565] /startdir/src/statsmodels/statsmodels/tools/tests/test_web.py [882/1565] /startdir/src/statsmodels/statsmodels/tools/validation/__init__.py [883/1565] /startdir/src/statsmodels/statsmodels/tools/validation/decorators.py [884/1565] /startdir/src/statsmodels/statsmodels/tools/validation/validation.py [885/1565] /startdir/src/statsmodels/statsmodels/tools/validation/tests/__init__.py [886/1565] /startdir/src/statsmodels/statsmodels/tools/validation/tests/test_validation.py [887/1565] /startdir/src/statsmodels/statsmodels/treatment/__init__.py [888/1565] /startdir/src/statsmodels/statsmodels/treatment/treatment_effects.py [889/1565] /startdir/src/statsmodels/statsmodels/treatment/tests/__init__.py [890/1565] /startdir/src/statsmodels/statsmodels/treatment/tests/test_teffects.py [891/1565] /startdir/src/statsmodels/statsmodels/treatment/tests/results/__init__.py [892/1565] /startdir/src/statsmodels/statsmodels/treatment/tests/results/cataneo2.csv [893/1565] /startdir/src/statsmodels/statsmodels/treatment/tests/results/results_teffects.py [894/1565] /startdir/src/statsmodels/statsmodels/tsa/__init__.py [895/1565] /startdir/src/statsmodels/statsmodels/tsa/_bds.py [896/1565] /startdir/src/statsmodels/statsmodels/tsa/_innovations.pyx [897/1565] /startdir/src/statsmodels/statsmodels/tsa/_leybourne.py [898/1565] /startdir/src/statsmodels/statsmodels/tsa/adfvalues.py [899/1565] /startdir/src/statsmodels/statsmodels/tsa/api.py [900/1565] /startdir/src/statsmodels/statsmodels/tsa/ar_model.py [901/1565] /startdir/src/statsmodels/statsmodels/tsa/arima_model.py [902/1565] /startdir/src/statsmodels/statsmodels/tsa/arima_process.py [903/1565] /startdir/src/statsmodels/statsmodels/tsa/coint_tables.py [904/1565] /startdir/src/statsmodels/statsmodels/tsa/descriptivestats.py [905/1565] /startdir/src/statsmodels/statsmodels/tsa/deterministic.py [906/1565] /startdir/src/statsmodels/statsmodels/tsa/meson.build [907/1565] /startdir/src/statsmodels/statsmodels/tsa/mlemodel.py [908/1565] /startdir/src/statsmodels/statsmodels/tsa/tsatools.py [909/1565] /startdir/src/statsmodels/statsmodels/tsa/varma_process.py [910/1565] /startdir/src/statsmodels/statsmodels/tsa/x13.py [911/1565] /startdir/src/statsmodels/statsmodels/tsa/ardl/__init__.py [912/1565] /startdir/src/statsmodels/statsmodels/tsa/ardl/model.py [913/1565] /startdir/src/statsmodels/statsmodels/tsa/ardl/pss_critical_values.py [914/1565] /startdir/src/statsmodels/statsmodels/tsa/ardl/_pss_critical_values/__init__.py [915/1565] /startdir/src/statsmodels/statsmodels/tsa/ardl/_pss_critical_values/pss.py [916/1565] /startdir/src/statsmodels/statsmodels/tsa/ardl/_pss_critical_values/pss_process.py [917/1565] /startdir/src/statsmodels/statsmodels/tsa/ardl/tests/__init__.py [918/1565] /startdir/src/statsmodels/statsmodels/tsa/ardl/tests/test_ardl.py [919/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/__init__.py [920/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/api.py [921/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/model.py [922/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/params.py [923/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/specification.py [924/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/tools.py [925/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/datasets/__init__.py [926/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/datasets/brockwell_davis_2002/__init__.py [927/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/__init__.py [928/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/dowj.py [929/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/lake.py [930/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/oshorts.py [931/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/sbl.py [932/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/__init__.py [933/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/_base.py [934/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/burg.py [935/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/durbin_levinson.py [936/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/gls.py [937/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/hannan_rissanen.py [938/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/innovations.py [939/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/statespace.py [940/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/yule_walker.py [941/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/tests/__init__.py [942/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/tests/test_burg.py [943/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py [944/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/tests/test_estimator_result.py [945/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/tests/test_gls.py [946/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py [947/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/tests/test_innovations.py [948/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/tests/test_statespace.py [949/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py [950/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/tests/results/results_burg.R [951/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/tests/results/results_hr.R [952/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/tests/results/results_innovations_ma.R [953/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/estimators/tests/results/results_yw_dl.R [954/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/tests/__init__.py [955/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/tests/test_model.py [956/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/tests/test_params.py [957/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/tests/test_specification.py [958/1565] /startdir/src/statsmodels/statsmodels/tsa/arima/tests/test_tools.py [959/1565] /startdir/src/statsmodels/statsmodels/tsa/base/__init__.py [960/1565] /startdir/src/statsmodels/statsmodels/tsa/base/datetools.py [961/1565] /startdir/src/statsmodels/statsmodels/tsa/base/prediction.py [962/1565] /startdir/src/statsmodels/statsmodels/tsa/base/tsa_model.py [963/1565] /startdir/src/statsmodels/statsmodels/tsa/base/tests/__init__.py [964/1565] /startdir/src/statsmodels/statsmodels/tsa/base/tests/test_base.py [965/1565] /startdir/src/statsmodels/statsmodels/tsa/base/tests/test_datetools.py [966/1565] /startdir/src/statsmodels/statsmodels/tsa/base/tests/test_prediction.py [967/1565] /startdir/src/statsmodels/statsmodels/tsa/base/tests/test_tsa_indexes.py [968/1565] /startdir/src/statsmodels/statsmodels/tsa/exponential_smoothing/__init__.py [969/1565] /startdir/src/statsmodels/statsmodels/tsa/exponential_smoothing/_ets_smooth.pyx [970/1565] /startdir/src/statsmodels/statsmodels/tsa/exponential_smoothing/base.py [971/1565] /startdir/src/statsmodels/statsmodels/tsa/exponential_smoothing/ets.py [972/1565] /startdir/src/statsmodels/statsmodels/tsa/exponential_smoothing/initialization.py [973/1565] /startdir/src/statsmodels/statsmodels/tsa/exponential_smoothing/meson.build [974/1565] /startdir/src/statsmodels/statsmodels/tsa/filters/__init__.py [975/1565] /startdir/src/statsmodels/statsmodels/tsa/filters/_utils.py [976/1565] /startdir/src/statsmodels/statsmodels/tsa/filters/api.py [977/1565] /startdir/src/statsmodels/statsmodels/tsa/filters/bk_filter.py [978/1565] /startdir/src/statsmodels/statsmodels/tsa/filters/cf_filter.py [979/1565] /startdir/src/statsmodels/statsmodels/tsa/filters/filtertools.py [980/1565] /startdir/src/statsmodels/statsmodels/tsa/filters/hamilton_filter.py [981/1565] /startdir/src/statsmodels/statsmodels/tsa/filters/hp_filter.py [982/1565] /startdir/src/statsmodels/statsmodels/tsa/filters/tests/__init__.py [983/1565] /startdir/src/statsmodels/statsmodels/tsa/filters/tests/test_filters.py [984/1565] /startdir/src/statsmodels/statsmodels/tsa/filters/tests/test_hamilton_filter.py [985/1565] /startdir/src/statsmodels/statsmodels/tsa/filters/tests/results/__init__.py [986/1565] /startdir/src/statsmodels/statsmodels/tsa/filters/tests/results/filter.R [987/1565] /startdir/src/statsmodels/statsmodels/tsa/filters/tests/results/filter_results.py [988/1565] /startdir/src/statsmodels/statsmodels/tsa/forecasting/__init__.py [989/1565] /startdir/src/statsmodels/statsmodels/tsa/forecasting/stl.py [990/1565] /startdir/src/statsmodels/statsmodels/tsa/forecasting/theta.py [991/1565] /startdir/src/statsmodels/statsmodels/tsa/forecasting/tests/__init__.py [992/1565] /startdir/src/statsmodels/statsmodels/tsa/forecasting/tests/test_stl.py [993/1565] /startdir/src/statsmodels/statsmodels/tsa/forecasting/tests/test_theta.py [994/1565] /startdir/src/statsmodels/statsmodels/tsa/holtwinters/__init__.py [995/1565] /startdir/src/statsmodels/statsmodels/tsa/holtwinters/_exponential_smoothers.pyx [996/1565] /startdir/src/statsmodels/statsmodels/tsa/holtwinters/_smoothers.py [997/1565] /startdir/src/statsmodels/statsmodels/tsa/holtwinters/meson.build [998/1565] /startdir/src/statsmodels/statsmodels/tsa/holtwinters/model.py [999/1565] /startdir/src/statsmodels/statsmodels/tsa/holtwinters/results.py [1000/1565] /startdir/src/statsmodels/statsmodels/tsa/holtwinters/tests/__init__.py [1001/1565] /startdir/src/statsmodels/statsmodels/tsa/holtwinters/tests/test_holtwinters.py [1002/1565] /startdir/src/statsmodels/statsmodels/tsa/holtwinters/tests/results/__init__.py [1003/1565] /startdir/src/statsmodels/statsmodels/tsa/holtwinters/tests/results/housing-data.csv [1004/1565] /startdir/src/statsmodels/statsmodels/tsa/innovations/__init__.py [1005/1565] /startdir/src/statsmodels/statsmodels/tsa/innovations/_arma_innovations.pyx.in [1006/1565] /startdir/src/statsmodels/statsmodels/tsa/innovations/api.py [1007/1565] /startdir/src/statsmodels/statsmodels/tsa/innovations/arma_innovations.py [1008/1565] /startdir/src/statsmodels/statsmodels/tsa/innovations/meson.build [1009/1565] /startdir/src/statsmodels/statsmodels/tsa/innovations/tests/__init__.py [1010/1565] /startdir/src/statsmodels/statsmodels/tsa/innovations/tests/test_arma_innovations.py [1011/1565] /startdir/src/statsmodels/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py [1012/1565] /startdir/src/statsmodels/statsmodels/tsa/interp/__init__.py [1013/1565] /startdir/src/statsmodels/statsmodels/tsa/interp/denton.py [1014/1565] /startdir/src/statsmodels/statsmodels/tsa/interp/tests/__init__.py [1015/1565] /startdir/src/statsmodels/statsmodels/tsa/interp/tests/test_denton.py [1016/1565] /startdir/src/statsmodels/statsmodels/tsa/regime_switching/__init__.py [1017/1565] /startdir/src/statsmodels/statsmodels/tsa/regime_switching/_hamilton_filter.pxd [1018/1565] /startdir/src/statsmodels/statsmodels/tsa/regime_switching/_hamilton_filter.pyx.in [1019/1565] /startdir/src/statsmodels/statsmodels/tsa/regime_switching/_kim_smoother.pxd [1020/1565] /startdir/src/statsmodels/statsmodels/tsa/regime_switching/_kim_smoother.pyx.in [1021/1565] /startdir/src/statsmodels/statsmodels/tsa/regime_switching/markov_autoregression.py [1022/1565] /startdir/src/statsmodels/statsmodels/tsa/regime_switching/markov_regression.py [1023/1565] /startdir/src/statsmodels/statsmodels/tsa/regime_switching/markov_switching.py [1024/1565] /startdir/src/statsmodels/statsmodels/tsa/regime_switching/meson.build [1025/1565] /startdir/src/statsmodels/statsmodels/tsa/regime_switching/tests/__init__.py [1026/1565] /startdir/src/statsmodels/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py [1027/1565] /startdir/src/statsmodels/statsmodels/tsa/regime_switching/tests/test_markov_regression.py [1028/1565] /startdir/src/statsmodels/statsmodels/tsa/regime_switching/tests/test_markov_switching.py [1029/1565] /startdir/src/statsmodels/statsmodels/tsa/regime_switching/tests/results/__init__.py [1030/1565] /startdir/src/statsmodels/statsmodels/tsa/regime_switching/tests/results/mar_filardo.csv [1031/1565] /startdir/src/statsmodels/statsmodels/tsa/regime_switching/tests/results/results_predict_fedfunds.csv [1032/1565] /startdir/src/statsmodels/statsmodels/tsa/regime_switching/tests/results/results_predict_rgnp.csv [1033/1565] /startdir/src/statsmodels/statsmodels/tsa/seasonal/__init__.py [1034/1565] /startdir/src/statsmodels/statsmodels/tsa/seasonal/_seasonal.py [1035/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/__init__.py [1036/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_blas_int.pxi.in [1037/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_cfa_simulation_smoother.pxd [1038/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_cfa_simulation_smoother.pyx.in [1039/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_initialization.pxd [1040/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_initialization.pyx.in [1041/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_kalman_filter.pxd [1042/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_kalman_filter.pyx.in [1043/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_kalman_smoother.pxd [1044/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_kalman_smoother.pyx.in [1045/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_pykalman_smoother.py [1046/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_quarterly_ar1.py [1047/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_representation.pxd [1048/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_representation.pyx.in [1049/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_simulation_smoother.pxd [1050/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_simulation_smoother.pyx.in [1051/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_tools.pxd [1052/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_tools.pyx.in [1053/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/api.py [1054/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/cfa_simulation_smoother.py [1055/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/dynamic_factor.py [1056/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/dynamic_factor_mq.py [1057/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/exponential_smoothing.py [1058/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/initialization.py [1059/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/kalman_filter.py [1060/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/kalman_smoother.py [1061/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/meson.build [1062/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/mlemodel.py [1063/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/news.py [1064/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/representation.py [1065/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/sarimax.py [1066/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/simulation_smoother.py [1067/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/structural.py [1068/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tools.py [1069/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/varmax.py [1070/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_filters/__init__.py [1071/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_filters/_conventional.pxd [1072/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_filters/_conventional.pyx.in [1073/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_filters/_inversions.pxd [1074/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_filters/_inversions.pyx.in [1075/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_filters/_univariate.pxd [1076/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_filters/_univariate.pyx.in [1077/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_filters/_univariate_diffuse.pxd [1078/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_filters/_univariate_diffuse.pyx.in [1079/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_filters/meson.build [1080/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_smoothers/__init__.py [1081/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_smoothers/_alternative.pxd [1082/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_smoothers/_alternative.pyx.in [1083/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_smoothers/_classical.pxd [1084/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_smoothers/_classical.pyx.in [1085/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_smoothers/_conventional.pxd [1086/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_smoothers/_conventional.pyx.in [1087/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_smoothers/_univariate.pxd [1088/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_smoothers/_univariate.pyx.in [1089/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pxd [1090/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pyx.in [1091/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/_smoothers/meson.build [1092/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/__init__.py [1093/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/kfas_helpers.py [1094/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py [1095/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_cfa_tvpvar.py [1096/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_chandrasekhar.py [1097/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_collapsed.py [1098/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_concentrated.py [1099/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_conserve_memory.py [1100/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_decompose.py [1101/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_dynamic_factor.py [1102/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py [1103/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py [1104/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py [1105/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py [1106/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py [1107/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_fixed_params.py [1108/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_forecasting.py [1109/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_impulse_responses.py [1110/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_initialization.py [1111/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_kalman.py [1112/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_mlemodel.py [1113/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_models.py [1114/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py [1115/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_news.py [1116/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_options.py [1117/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_pickle.py [1118/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_prediction.py [1119/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_representation.py [1120/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_sarimax.py [1121/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_save.py [1122/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_simulate.py [1123/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py [1124/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_smoothing.py [1125/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_structural.py [1126/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_tools.py [1127/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_univariate.py [1128/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_var.py [1129/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_varmax.py [1130/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/test_weights.py [1131/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/__init__.py [1132/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_Omega_11.csv [1133/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_Omega_22.csv [1134/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_S10.csv [1135/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_Si0.csv [1136/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_beta.csv [1137/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_invP.csv [1138/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_posterior_mean.csv [1139/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_state_variates.csv [1140/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_test.m [1141/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_v10.csv [1142/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_vi0.csv [1143/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/clark1989.csv [1144/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/example_ssm_wpi1.m [1145/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/exponential_smoothing.R [1146/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/exponential_smoothing_params.csv [1147/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/exponential_smoothing_predict.csv [1148/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/exponential_smoothing_states.csv [1149/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/kfas_helpers.R [1150/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/manufac.dta [1151/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_clark1989_R.csv [1152/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_dynamic_factor.py [1153/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_dynamic_factor_stata.csv [1154/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_exact_initial_common_level_R.csv [1155/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_exact_initial_common_level_restricted_R.csv [1156/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_exact_initial_dfm_R.csv [1157/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_exact_initial_local_level_R.csv [1158/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_exact_initial_local_linear_trend_R.csv [1159/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_exact_initial_local_linear_trend_missing_R.csv [1160/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_R.csv [1161/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_measurement_error_R.csv [1162/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_missing_R.csv [1163/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_mixed_R.csv [1164/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_intercepts_R.csv [1165/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_kalman_filter.py [1166/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_realgdpar_stata.csv [1167/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_sarimax.py [1168/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_sarimax_coverage.csv [1169/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing0.csv [1170/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing1.csv [1171/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing2.csv [1172/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing3.csv [1173/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing3_variates.csv [1174/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing4.csv [1175/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing5.csv [1176/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing6.csv [1177/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_smoothing2_R.csv [1178/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_smoothing3_R.csv [1179/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_smoothing_R.csv [1180/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_smoothing_generalobscov_R.csv [1181/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_structural.py [1182/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_var_R.py [1183/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_var_R_output.csv [1184/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_var_misc.py [1185/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_var_stata.csv [1186/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_varmax.py [1187/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_varmax_stata.csv [1188/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_matlab_ssm.csv [1189/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_stata.csv [1190/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/results_wpi1_missing_ar3_matlab_ssm.csv [1191/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/sm-0.9-sarimax.pkl [1192/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_clark1989_r.R [1193/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_dynamic_factor_stata.do [1194/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_exact_diffuse_filtering.R [1195/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_exact_diffuse_filtering_multivariate.R [1196/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_exact_diffuse_filtering_stata.do [1197/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_intercepts.R [1198/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_realgdpar_r.R [1199/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_realgdpar_stata.do [1200/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_sarimax_coverage.do [1201/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_sarimax_stata.do [1202/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_simulation_smoothing.R [1203/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_smoothing.R [1204/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_smoothing2.R [1205/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_smoothing3.R [1206/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_smoothing_generalobscov.R [1207/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_ucm.R [1208/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_var.R [1209/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_var_misc_stata.do [1210/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_varmax_stata.do [1211/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/test_wpi1_stata.do [1212/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/__init__.py [1213/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_111.mat [1214/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_112.mat [1215/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_11F.mat [1216/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_221.mat [1217/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_222.mat [1218/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_22F.mat [1219/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_111.mat [1220/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_112.mat [1221/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_221.mat [1222/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_222.mat [1223/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_112.mat [1224/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_222.mat [1225/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_blocks_112.mat [1226/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_blocks_222.mat [1227/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/LICENSE [1228/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/README.md [1229/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/__init__.py [1230/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/test_DFM.m [1231/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/test_DFM_blocks.m [1232/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/test_news.m [1233/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/test_news_blocks.m [1234/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/test_spec.xls [1235/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/test_spec_blocks.xls [1236/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/__init__.py [1237/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/yyyy-mm-dd.xls [1238/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/2016-06-29.csv [1239/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/2016-06-29.xls [1240/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/2016-07-29.csv [1241/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/2016-07-29.xls [1242/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/__init__.py [1243/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/__init__.py [1244/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/dfm.m [1245/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/load_data.m [1246/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/load_spec.m [1247/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/remNaNs_spline.m [1248/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/summarize.m [1249/1565] /startdir/src/statsmodels/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/update_nowcast.m [1250/1565] /startdir/src/statsmodels/statsmodels/tsa/stattools/__init__.py [1251/1565] /startdir/src/statsmodels/statsmodels/tsa/stattools/_arma_order_selection.py [1252/1565] /startdir/src/statsmodels/statsmodels/tsa/stattools/_leybourne.py [1253/1565] /startdir/src/statsmodels/statsmodels/tsa/stattools/_stattools.py [1254/1565] /startdir/src/statsmodels/statsmodels/tsa/stl/__init__.py [1255/1565] /startdir/src/statsmodels/statsmodels/tsa/stl/_stl.pyx [1256/1565] /startdir/src/statsmodels/statsmodels/tsa/stl/meson.build [1257/1565] /startdir/src/statsmodels/statsmodels/tsa/stl/mstl.py [1258/1565] /startdir/src/statsmodels/statsmodels/tsa/stl/tests/__init__.py [1259/1565] /startdir/src/statsmodels/statsmodels/tsa/stl/tests/test_mstl.py [1260/1565] /startdir/src/statsmodels/statsmodels/tsa/stl/tests/test_stl.py [1261/1565] /startdir/src/statsmodels/statsmodels/tsa/stl/tests/results/__init__.py [1262/1565] /startdir/src/statsmodels/statsmodels/tsa/stl/tests/results/mstl_elec_vic.csv [1263/1565] /startdir/src/statsmodels/statsmodels/tsa/stl/tests/results/mstl_test_results.csv [1264/1565] /startdir/src/statsmodels/statsmodels/tsa/stl/tests/results/stl-fixed.f90 [1265/1565] /startdir/src/statsmodels/statsmodels/tsa/stl/tests/results/stl_co2 [1266/1565] /startdir/src/statsmodels/statsmodels/tsa/stl/tests/results/stl_co2.csv [1267/1565] /startdir/src/statsmodels/statsmodels/tsa/stl/tests/results/stl_test_data.f90 [1268/1565] /startdir/src/statsmodels/statsmodels/tsa/stl/tests/results/stl_test_results.csv [1269/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/__init__.py [1270/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/test_adfuller_lag.py [1271/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/test_adfvalues.py [1272/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/test_ar.py [1273/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/test_arima_process.py [1274/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/test_bds.py [1275/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/test_deterministic.py [1276/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/test_exponential_smoothing.py [1277/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/test_seasonal.py [1278/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/test_stattools.py [1279/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/test_tsa_tools.py [1280/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/test_varma_process.py [1281/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/test_x13.py [1282/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/ARMLEConstantPredict.csv [1283/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/AROLSConstantPredict.csv [1284/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/AROLSNoConstantPredict.csv [1285/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/BAA.csv [1286/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/DBAA.csv [1287/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/DSP500.csv [1288/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/DUN.csv [1289/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/SP500.csv [1290/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/UN.csv [1291/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/__init__.py [1292/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/arima.R [1293/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/arima111_css_results.py [1294/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/arima111_forecasts.csv [1295/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/arima111_results.py [1296/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/arima111nc_css_results.py [1297/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/arima111nc_results.py [1298/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/arima112_css_results.py [1299/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/arima112_results.py [1300/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/arima112nc_css_results.py [1301/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/arima112nc_results.py [1302/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/arima211_css_results.py [1303/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/arima211_results.py [1304/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/arima211nc_css_results.py [1305/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/arima211nc_results.py [1306/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/arima212_forecast.csv [1307/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/arima_forecast.inp [1308/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/arma_forecast.inp [1309/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/bds_data.csv [1310/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/bds_results.csv [1311/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/corrgram.do [1312/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/datamlw_tls.py [1313/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/fit_ets.R [1314/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/fit_ets_results.json [1315/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/fit_ets_results_nonseasonal.json [1316/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/fit_ets_results_seasonal.json [1317/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/gnpdef.csv [1318/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/lutkepohl2.dta [1319/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/make_arma.py [1320/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/rand10000.csv [1321/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/resids_css_c.csv [1322/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/resids_css_nc.csv [1323/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/resids_exact_c.csv [1324/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/resids_exact_nc.csv [1325/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/results_ar.py [1326/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/results_ar_forecast_mle_dynamic.csv [1327/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/results_arima.py [1328/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/results_arima_exog_forecasts_css.csv [1329/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/results_arima_exog_forecasts_mle.csv [1330/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/results_arima_forecasts.csv [1331/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/results_arima_forecasts_all_css.csv [1332/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/results_arima_forecasts_all_css_diff.csv [1333/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/results_arima_forecasts_all_mle.csv [1334/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/results_arima_forecasts_all_mle_diff.csv [1335/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/results_arma.py [1336/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/results_arma_acf.py [1337/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/results_arma_forecasts.csv [1338/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/results_ccf.csv [1339/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/results_corrgram.csv [1340/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/results_pccf.R [1341/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/results_pccf.csv [1342/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/results_process.py [1343/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/rgnp.csv [1344/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/rgnpq.csv [1345/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/savedrvs.py [1346/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/stkprc.csv [1347/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/test_arma_acf.R [1348/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/test_bds.m [1349/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/y_arma_data.csv [1350/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/yhat_css_c.csv [1351/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/yhat_css_nc.csv [1352/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/yhat_exact_c.csv [1353/1565] /startdir/src/statsmodels/statsmodels/tsa/tests/results/yhat_exact_nc.csv [1354/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/__init__.py [1355/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/api.py [1356/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/hypothesis_test_results.py [1357/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/irf.py [1358/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/local_proj.py [1359/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/output.py [1360/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/plotting.py [1361/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/svar_model.py [1362/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/util.py [1363/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/var_model.py [1364/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/vecm.py [1365/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/__init__.py [1366/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/example_svar.py [1367/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/svar.do [1368/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/svartest.R [1369/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/test_coint.py [1370/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/test_local_projection.py [1371/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/test_svar.py [1372/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/test_var.py [1373/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py [1374/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/test_vecm.py [1375/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/var.R [1376/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/__init__.py [1377/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c.txt [1378/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_Sigmau.txt [1379/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_diag.txt [1380/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_fc5.txt [1381/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realcons.txt [1382/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realcons_realgdp.txt [1383/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realcons_realinv.txt [1384/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realgdp.txt [1385/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realgdp_realinv.txt [1386/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realinv.txt [1387/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_ir.txt [1388/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_lagorder.txt [1389/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs.txt [1390/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_Sigmau.txt [1391/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_diag.txt [1392/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_fc5.txt [1393/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realcons.txt [1394/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realcons_realgdp.txt [1395/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realcons_realinv.txt [1396/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realgdp.txt [1397/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realgdp_realinv.txt [1398/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realinv.txt [1399/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_ir.txt [1400/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_lagorder.txt [1401/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst.txt [1402/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_Sigmau.txt [1403/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_diag.txt [1404/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_fc5.txt [1405/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realcons.txt [1406/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realcons_realgdp.txt [1407/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realcons_realinv.txt [1408/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realgdp.txt [1409/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realgdp_realinv.txt [1410/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realinv.txt [1411/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_ir.txt [1412/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_lagorder.txt [1413/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct.txt [1414/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_Sigmau.txt [1415/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_diag.txt [1416/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_fc5.txt [1417/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realcons.txt [1418/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realcons_realgdp.txt [1419/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realcons_realinv.txt [1420/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realgdp.txt [1421/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realgdp_realinv.txt [1422/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realinv.txt [1423/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_ir.txt [1424/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_lagorder.txt [1425/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc.txt [1426/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_Sigmau.txt [1427/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_diag.txt [1428/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_fc5.txt [1429/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realcons.txt [1430/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realcons_realgdp.txt [1431/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realcons_realinv.txt [1432/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realgdp.txt [1433/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realgdp_realinv.txt [1434/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realinv.txt [1435/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_ir.txt [1436/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_lagorder.txt [1437/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs.txt [1438/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_Sigmau.txt [1439/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_diag.txt [1440/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_fc5.txt [1441/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realcons.txt [1442/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realcons_realgdp.txt [1443/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realcons_realinv.txt [1444/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realgdp.txt [1445/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realgdp_realinv.txt [1446/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realinv.txt [1447/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_ir.txt [1448/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_lagorder.txt [1449/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/parse_jmulti_var_output.py [1450/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/parse_jmulti_vecm_output.py [1451/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci.txt [1452/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_Sigmau.txt [1453/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_diag.txt [1454/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_fc5.txt [1455/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_granger_causality_dp_r.txt [1456/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_granger_causality_r_dp.txt [1457/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_inst_causality_dp_r.txt [1458/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_inst_causality_r_dp.txt [1459/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_ir.txt [1460/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_lagorder.txt [1461/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili.txt [1462/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_Sigmau.txt [1463/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_diag.txt [1464/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_fc5.txt [1465/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_granger_causality_dp_r.txt [1466/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_granger_causality_r_dp.txt [1467/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_inst_causality_dp_r.txt [1468/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_inst_causality_r_dp.txt [1469/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_ir.txt [1470/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_lagorder.txt [1471/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis.txt [1472/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_Sigmau.txt [1473/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_diag.txt [1474/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_fc5.txt [1475/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_granger_causality_dp_r.txt [1476/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_granger_causality_r_dp.txt [1477/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_inst_causality_dp_r.txt [1478/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_inst_causality_r_dp.txt [1479/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_ir.txt [1480/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_lagorder.txt [1481/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli.txt [1482/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_Sigmau.txt [1483/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_diag.txt [1484/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_fc5.txt [1485/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_granger_causality_dp_r.txt [1486/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_granger_causality_r_dp.txt [1487/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_inst_causality_dp_r.txt [1488/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_inst_causality_r_dp.txt [1489/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_ir.txt [1490/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_lagorder.txt [1491/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co.txt [1492/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_Sigmau.txt [1493/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_diag.txt [1494/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_fc5.txt [1495/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_granger_causality_dp_r.txt [1496/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_granger_causality_r_dp.txt [1497/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_inst_causality_dp_r.txt [1498/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_inst_causality_r_dp.txt [1499/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_ir.txt [1500/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_lagorder.txt [1501/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo.txt [1502/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_Sigmau.txt [1503/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_diag.txt [1504/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_fc5.txt [1505/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_granger_causality_dp_r.txt [1506/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_granger_causality_r_dp.txt [1507/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_inst_causality_dp_r.txt [1508/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_inst_causality_r_dp.txt [1509/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_ir.txt [1510/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_lagorder.txt [1511/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos.txt [1512/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_Sigmau.txt [1513/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_diag.txt [1514/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_fc5.txt [1515/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_granger_causality_dp_r.txt [1516/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_granger_causality_r_dp.txt [1517/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_inst_causality_dp_r.txt [1518/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_inst_causality_r_dp.txt [1519/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_ir.txt [1520/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_lagorder.txt [1521/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo.txt [1522/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_Sigmau.txt [1523/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_diag.txt [1524/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_fc5.txt [1525/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_granger_causality_dp_r.txt [1526/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_granger_causality_r_dp.txt [1527/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_inst_causality_dp_r.txt [1528/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_inst_causality_r_dp.txt [1529/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_ir.txt [1530/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_lagorder.txt [1531/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc.txt [1532/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_Sigmau.txt [1533/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_diag.txt [1534/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_fc5.txt [1535/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_granger_causality_dp_r.txt [1536/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_granger_causality_r_dp.txt [1537/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_inst_causality_dp_r.txt [1538/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_inst_causality_r_dp.txt [1539/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_ir.txt [1540/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_lagorder.txt [1541/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs.txt [1542/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_Sigmau.txt [1543/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_diag.txt [1544/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_fc5.txt [1545/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_granger_causality_dp_r.txt [1546/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_granger_causality_r_dp.txt [1547/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_inst_causality_dp_r.txt [1548/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_inst_causality_r_dp.txt [1549/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_ir.txt [1550/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_lagorder.txt [1551/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/Matlab_results/__init__.py [1552/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/Matlab_results/test_coint.csv [1553/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/results/__init__.py [1554/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/results/e1.dat [1555/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/results/e2.dat [1556/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/results/e3.dat [1557/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/results/e4.dat [1558/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/results/e5.dat [1559/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/results/e6.dat [1560/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/results/results_local_proj.R [1561/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/results/results_svar.py [1562/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/results/results_svar_st.py [1563/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/results/results_var.py [1564/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/results/results_var_data.py [1565/1565] /startdir/src/statsmodels/statsmodels/tsa/vector_ar/tests/results/vars_results.npz Successfully built statsmodels-0.15.1.dev0+g278ff9950.d20260912-cp314-cp314-linux_x86_64.whl ==> Starting check()... ============================= test session starts ============================== platform linux -- Python 3.14.7, pytest-9.1.1, pluggy-1.6.0 -- /usr/bin/python cachedir: .pytest_cache Using --randomly-seed=2782387685 rootdir: /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels configfile: pyproject.toml plugins: randomly-5.0.0, xdist-3.8.0 collecting ... collected 21380 items / 1 skipped statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnown::test_simulate_1 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnown::test_simulation_smoothing_2 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnown::test_simulate_0 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnown::test_simulate_2 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnown::test_loglike PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnown::test_simulation_smoothing_1 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnown::test_simulation_smoothing_0 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::test_simulation_smoother_invalid_method_raises PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::test_misc PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::test_simulation_smoothing_state_intercept_diffuse PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::test_simulation_smooth_results_output_flag_properties PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::test_nan PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::test_simulation_smoothing_state_intercept PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::test_simulation_smoothing_obs_intercept PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVAR::test_loglike PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVAR::test_simulation_smoothing PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingMixed::test_simulation_smoothing_2 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingMixed::test_simulate_0 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingMixed::test_simulate_1 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingMixed::test_loglike PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingMixed::test_simulation_smoothing_1 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingMixed::test_simulate_2 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingMixed::test_simulation_smoothing_0 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingPartial::test_simulate_0 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingPartial::test_simulation_smoothing_0 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingPartial::test_simulation_smoothing_1 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingPartial::test_simulate_1 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingPartial::test_loglike PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingPartial::test_simulate_2 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingPartial::test_simulation_smoothing_2 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingAll::test_simulate_1 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingAll::test_simulation_smoothing_1 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingAll::test_simulation_smoothing_0 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingAll::test_simulate_0 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingAll::test_simulate_2 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingAll::test_simulation_smoothing_2 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingAll::test_loglike PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestDFM::test_simulation_smoothing_1 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestDFM::test_simulate_2 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestDFM::test_loglike PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestDFM::test_simulation_smoothing_0 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestDFM::test_simulate_1 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestDFM::test_simulation_smoothing_2 PASSED [ 0%] statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestDFM::test_simulate_0 PASSED [ 0%] statsmodels/graphics/tests/test_boxplots.py::test_violinplot_bw_factor PASSED [ 0%] statsmodels/graphics/tests/test_boxplots.py::test_beanplot_invalid_side_raises PASSED [ 0%] statsmodels/graphics/tests/test_boxplots.py::test_violinplot PASSED [ 0%] statsmodels/graphics/tests/test_boxplots.py::test_beanplot PASSED [ 0%] statsmodels/graphics/tests/test_boxplots.py::test_beanplot_side_left PASSED [ 0%] statsmodels/graphics/tests/test_boxplots.py::test_beanplot_legend_text PASSED [ 0%] statsmodels/graphics/tests/test_boxplots.py::test_violinplot_invalid_side_raises PASSED [ 0%] statsmodels/graphics/tests/test_boxplots.py::test_beanplot_jitter PASSED [ 0%] statsmodels/graphics/tests/test_boxplots.py::test_beanplot_side_right PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_too_short PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-False-4-multiplicative] PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-True-4-multiplicative] PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-True-12-multiplicative] PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-True-4-additive] PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-True-12-multiplicative] PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-False-4-additive] PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-True-12-additive] PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-False-12-multiplicative] PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-True-4-multiplicative] PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-False-4-multiplicative] PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_multiple PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-False-12-additive] PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_smoke PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-True-4-additive] PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-False-12-multiplicative] PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-False-12-additive] PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-False-4-additive] PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-True-12-additive] PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_pandas_nofreq PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_raises PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_ndarray PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_extrapolate_trend_invalid_string_raises PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_one_sided_moving_average_in_stl_decompose PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_extrapolate_trend_freq_deprecated PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_interpolate_trend PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_pandas PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_filt PASSED [ 0%] statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_2d PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::test_tukeyhsd_invalid_use_var_raises PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::test_plot PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2Pandas::test_table_names_custom_group_order PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2Pandas::test_plot_simultaneous_ci PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2Pandas::test_shortcut_function PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2Pandas::test_group_tukey PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2Pandas::test_table_names_default_group_order PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2Pandas::test_multicomptukey PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2Pandas::test_incorrect_output PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD4::test_group_tukey PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD4::test_plot_simultaneous_ci PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD4::test_multicomptukey PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD4::test_shortcut_function PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD4::test_hochberg_intervals PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2::test_multicomptukey PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2::test_table_names_default_group_order PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2::test_plot_simultaneous_ci PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2::test_table_names_custom_group_order PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2::test_group_tukey PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2::test_shortcut_function PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD3::test_multicomptukey PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD3::test_group_tukey PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD3::test_plot_simultaneous_ci PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD3::test_shortcut_function PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2s::test_plot_simultaneous_ci PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2s::test_multicomptukey PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2s::test_shortcut_function PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2s::test_group_tukey PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTukeyHSD2sUnequal::test_shortcut_function PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTukeyHSD2sUnequal::test_multicomptukey PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTukeyHSD2sUnequal::test_plot_simultaneous_ci PASSED [ 0%] statsmodels/stats/tests/test_pairwise.py::TestTukeyHSD2sUnequal::test_group_tukey PASSED [ 0%] statsmodels/iolib/tests/test_table_econpy.py::TestSimpleTable::test_txt_fmt1 PASSED [ 0%] statsmodels/iolib/tests/test_table_econpy.py::TestSimpleTable::test_ltx_fmt1 PASSED [ 0%] statsmodels/iolib/tests/test_table_econpy.py::TestSimpleTable::test_html_fmt1 PASSED [ 0%] statsmodels/iolib/tests/test_table_econpy.py::TestSimpleTable::test_customlabel PASSED [ 0%] statsmodels/iolib/tests/test_table_econpy.py::TestCell::test_celldata PASSED [ 0%] statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[test message-0.11-UserWarning] PASSED [ 0%] statsmodels/tools/tests/test_decorators.py::test_cache_readonly PASSED [ 0%] statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[test message-None-UserWarning] PASSED [ 0%] statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[test message-None-FutureWarning] PASSED [ 0%] statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[test message-0.11-FutureWarning] PASSED [ 0%] statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-None-UserWarning] PASSED [ 0%] statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-None-FutureWarning] PASSED [ 0%] statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-0.11-FutureWarning] PASSED [ 0%] statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-0.11-UserWarning] PASSED [ 0%] statsmodels/stats/tests/test_oneway.py::test_scale_transform_transform_options[identity] PASSED [ 0%] statsmodels/stats/tests/test_oneway.py::test_effectsize_power PASSED [ 0%] statsmodels/stats/tests/test_oneway.py::test_effectsize_fstat_stata PASSED [ 0%] statsmodels/stats/tests/test_oneway.py::test_scale_transform[trimmed] PASSED [ 0%] statsmodels/stats/tests/test_oneway.py::test_scale_transform_transform_options[square] PASSED [ 0%] statsmodels/stats/tests/test_oneway.py::test_oneway_effectsize PASSED [ 0%] statsmodels/stats/tests/test_oneway.py::test_scale_transform[mean] PASSED [ 0%] statsmodels/stats/tests/test_oneway.py::test_scale_transform[median] PASSED [ 0%] statsmodels/stats/tests/test_oneway.py::test_scale_transform_transform_options[abs] PASSED [ 0%] statsmodels/stats/tests/test_oneway.py::test_effectsize_fstat PASSED [ 0%] statsmodels/stats/tests/test_oneway.py::test_confint_noncentrality_alternative PASSED [ 0%] statsmodels/stats/tests/test_oneway.py::test_simulate_equivalence PASSED [ 0%] statsmodels/stats/tests/test_oneway.py::TestOnewayEquivalenc::test_equivalence_equal PASSED [ 0%] statsmodels/stats/tests/test_oneway.py::TestOnewayEquivalenc::test_equivalence_welch PASSED [ 0%] statsmodels/stats/tests/test_oneway.py::TestOnewayScale::test_options PASSED [ 0%] statsmodels/stats/tests/test_oneway.py::TestOnewayScale::test_levene PASSED [ 0%] statsmodels/stats/tests/test_oneway.py::TestOnewayScale::test_equivalence PASSED [ 0%] statsmodels/stats/tests/test_oneway.py::TestOnewayScale::test_means PASSED [ 0%] statsmodels/stats/tests/test_oneway.py::TestOnewayOLS::test_ols_noncentrality PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_minimize_no_hess_method[TNC] PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_full_output[cg] PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_full_output_false[nm] PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_full_output_false[newton] PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_full_output[basinhopping] PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_full_output_false[bfgs] PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_full_output[lbfgs] PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_minimize_scipy_nm PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_minimize_no_hess_method[L-BFGS-B] PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_full_output_false[powell] PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_lbfgs_disp_false_no_output PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_full_output_false[ncg] PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_full_output_false[minimize] PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_full_output[newton] PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_full_output_false[lbfgs] PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_fit_invalid_method_raises PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_full_output[bfgs] PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_minimize_scipy_slsqp PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_full_output[ncg] PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_full_output_false[cg] PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_full_output[nm] PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_minimize_scipy_powell PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_full_output[powell] PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_full_output_false[basinhopping] PASSED [ 0%] statsmodels/base/tests/test_optimize.py::test_full_output[minimize] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_direct_filter_kalman_filter[ar_params5-ma_params5-1.123] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_direct_filter_kalman_filter[ar_params4-ma_params4-1.123] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params2-ma_params2-1] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params3-ma_params3-1] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params0-ma_params0-1] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params1-ma_params1-1] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params0-ma_params0-1] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params1-ma_params1-1] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params2-ma_params2-1] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params3-ma_params3-1] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_direct_filter_kalman_filter[ar_params1-ma_params1-1] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_direct_filter_kalman_filter[ar_params0-ma_params0-1] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_direct_filter_kalman_filter[ar_params3-ma_params3-1] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_direct_filter_kalman_filter[ar_params2-ma_params2-1] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_brockwell_davis_ex534 PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params2-1-ma_params2-1] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params5-1-ma_params5-1.123] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params3-1-ma_params3-1] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params4-ma_params4-1.123] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params1-1-ma_params1-1] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params4-ma_params4-1.123] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params5-ma_params5-1.123] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params5-ma_params5-1.123] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params4-1-ma_params4-1.123] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_brockwell_davis_ex533 PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params6-2-ma_params6-1.123] PASSED [ 0%] statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params0-1-ma_params0-1] PASSED [ 0%] statsmodels/iolib/tests/test_summary2.py::test_ols_summary_rsquared_label PASSED [ 0%] statsmodels/iolib/tests/test_summary2.py::TestSummaryLabels::test_absence_of_r2 PASSED [ 0%] statsmodels/iolib/tests/test_summary2.py::TestSummaryLabels::test_summary_col_r2 PASSED [ 0%] statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_summary_col_ordering_preserved PASSED [ 0%] statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_summarycol_fixed_effects PASSED [ 0%] statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_summarycol_drop_omitted PASSED [ 0%] statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test__repr_latex_ PASSED [ 0%] statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_summarycol_float_format PASSED [ 0%] statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_summarycol PASSED [ 0%] statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_OLSsummary PASSED [ 0%] statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_invalid_xfail XFAILlker works.) [ 0%] statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_invalid PASSED [ 0%] statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_itsmr PASSED [ 0%] statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_brockwell_davis_example_514 PASSED [ 0%] statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_brockwell_davis_example_511 PASSED [ 1%] statsmodels/tools/tests/test_sm_exceptions.py::test_parse_error_str_with_docstring_attr PASSED [ 1%] statsmodels/tools/tests/test_sm_exceptions.py::test_parse_error_str_without_docstring_attr PASSED [ 1%] statsmodels/tools/tests/test_sm_exceptions.py::test_parse_error_is_exception_and_raisable PASSED [ 1%] statsmodels/stats/tests/test_oaxaca.py::test_oaxaca_results PASSED [ 1%] statsmodels/stats/tests/test_oaxaca.py::test_oaxaca_results_summary PASSED [ 1%] statsmodels/stats/tests/test_oaxaca.py::TestOaxacaPandasNoConstPassed::test_results PASSED [ 1%] statsmodels/stats/tests/test_oaxaca.py::TestOaxacaNoSwapNoConstPassed::test_results PASSED [ 1%] statsmodels/stats/tests/test_oaxaca.py::TestOaxacaPandasNoSwapNoConstPassed::test_results PASSED [ 1%] statsmodels/stats/tests/test_oaxaca.py::TestOaxacaNoConstPassed::test_results PASSED [ 1%] statsmodels/stats/tests/test_oaxaca.py::TestZeroModel::test_results PASSED [ 1%] statsmodels/stats/tests/test_oaxaca.py::TestPooledModel::test_results PASSED [ 1%] statsmodels/stats/tests/test_oaxaca.py::TestOneModel::test_results PASSED [ 1%] statsmodels/stats/tests/test_oaxaca.py::TestOmegaModel::test_results PASSED [ 1%] statsmodels/stats/tests/test_oaxaca.py::TestOaxacaPandasNoSwap::test_results PASSED [ 1%] statsmodels/stats/tests/test_oaxaca.py::TestOaxacaNoSwap::test_results PASSED [ 1%] statsmodels/stats/tests/test_oaxaca.py::TestOaxacaPandas::test_results PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-True-lme02.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-True-lme10.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-False-lme11.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-False-lme01.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-False-lme06.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-True-lme05.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-False-lme08.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-True-lme11.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-True-lme03.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-False-lme02.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_summary_col PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-False-lme05.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-True-lme04.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-False-lme03.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-True-lme08.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-False-lme09.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-True-lme00.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_mixed_lm_wrapper PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-True-lme07.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-False-lme04.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-False-lme10.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-False-lme00.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-True-lme09.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-True-lme01.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-True-lme06.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-False-lme07.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_random_effects_getters PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-True-lme09.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-False-lme02.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-False-lme08.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-True-lme01.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_random_effects PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-True-lme06.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-False-lme05.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-False-lme01.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-True-lme08.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-False-lme11.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-True-lme00.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_from_formula_missing_kwarg_forwarded PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-True-lme07.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-False-lme06.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-True-lme11.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-True-lme03.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-False-lme00.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-False-lme10.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_handle_missing PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-False-lme07.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-True-lme04.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-True-lme02.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-True-lme10.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[False-False-lme09.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-False-lme03.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-False-lme04.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_r[True-True-lme05.csv] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_fit_unsupported_kwargs_warns PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_mixedlm_t_test PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_get_distribution PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_fit_unsupported_kwargs_ignored PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_profile_re_likelihood_peaks_at_mle PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_singular PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_summary_after_remove_data PASSED [ 1%] statsmodels/regression/tests/test_lme.py::test_predict_reflects_only_fixed_effects PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-3-8-10] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-2-8-10] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-2-4-5] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-2-8-5] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-3-4-10] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-2-4-10] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-2-8-5] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-2-4-5] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-3-8-10] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-2-8-10] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-3-8-5] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-3-4-5] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-3-4-10] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-2-4-10] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-3-4-5] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-3-8-5] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[True-False-True] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[True-False-False] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[False-True-False] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_vcomp_2 PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[False-False-False] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[True-True-True] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[False-False-True] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_vcomp_formula PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[True-True-False] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_formulas PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_profile_inference PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_default_re PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_vcomp_3 PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[False-True-True] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_vcomp_1 PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_dietox PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_regularized PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_history PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_dietox_slopes PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_pastes_vcomp PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLM::test_sparse PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLMSummaryRegularized::test_summary PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLMSummaryRegularized::test_summary_xname_fe PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLMSummaryRegularized::test_summary_title PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLMSummaryRegularized::test_summary_xname_re PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLMSummary::test_summary_title PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLMSummary::test_summary_xname_fe PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLMSummary::test_summary PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestMixedLMSummary::test_summary_xname_re PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0-3-4-10] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-3-4-10] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0-3-8-5] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-2-4-5] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0-2-8-10] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0-3-4-5] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-2-8-5] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-2-8-10] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0-2-4-10] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0-2-4-5] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-3-8-5] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-2-4-10] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0-3-8-10] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-3-8-10] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0-2-8-5] PASSED [ 1%] statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-3-4-5] PASSED [ 1%] statsmodels/miscmodels/tests/test_generic_mle.py::test_reduceparams_expandparams_roundtrip PASSED [ 1%] statsmodels/miscmodels/tests/test_generic_mle.py::test_summary_after_remove_data PASSED [ 1%] statsmodels/miscmodels/tests/test_generic_mle.py::test_nloglike_matches_nloglikeobs_sum PASSED [ 1%] statsmodels/miscmodels/tests/test_generic_mle.py::TestMyPareto1::test_use_t_summary PASSED [ 1%] statsmodels/miscmodels/tests/test_generic_mle.py::TestMyPareto1::test_summary PASSED [ 1%] statsmodels/miscmodels/tests/test_generic_mle.py::TestMyPareto1::test_params PASSED [ 1%] statsmodels/miscmodels/tests/test_generic_mle.py::TestMyPareto1::test_minsupport PASSED [ 1%] statsmodels/miscmodels/tests/test_generic_mle.py::TestMyPareto1::test_df PASSED [ 1%] statsmodels/miscmodels/tests/test_generic_mle.py::TestMyPareto1::test_ttest PASSED [ 1%] statsmodels/miscmodels/tests/test_generic_mle.py::TestMyParetoRestriction::test_summary PASSED [ 1%] statsmodels/miscmodels/tests/test_generic_mle.py::TestMyParetoRestriction::test_use_t_summary PASSED [ 1%] statsmodels/miscmodels/tests/test_generic_mle.py::TestMyParetoRestriction::test_df PASSED [ 1%] statsmodels/miscmodels/tests/test_generic_mle.py::TestMyParetoRestriction::test_params PASSED [ 1%] statsmodels/miscmodels/tests/test_generic_mle.py::TestMyParetoRestriction::test_ttest PASSED [ 1%] statsmodels/miscmodels/tests/test_generic_mle.py::TestTwoPeakLLHNoExog::test_fit PASSED [ 1%] statsmodels/sandbox/stats/tests/test_multicomp.py::test_get_tukeyqcrit_matches_published_table PASSED [ 1%] statsmodels/sandbox/stats/tests/test_multicomp.py::test_get_tukeyqcrit_invalid_alpha_raises PASSED [ 1%] statsmodels/sandbox/stats/tests/test_multicomp.py::test_tiecorrect_matches_scipy PASSED [ 1%] statsmodels/sandbox/stats/tests/test_multicomp.py::test_tukey_pvalues SKIPPED [ 1%] statsmodels/stats/tests/test_robust_compare.py::TestTrimmedR1::test_vectorized[0] PASSED [ 1%] statsmodels/stats/tests/test_robust_compare.py::TestTrimmedR1::test_vectorized[1] PASSED [ 1%] statsmodels/stats/tests/test_robust_compare.py::TestTrimmedR1::test_other PASSED [ 1%] statsmodels/stats/tests/test_robust_compare.py::TestTrimmedR1::test_inference PASSED [ 1%] statsmodels/stats/tests/test_robust_compare.py::TestTrimmedR1::test_basic PASSED [ 1%] statsmodels/stats/tests/test_robust_compare.py::TestTrimmedRAnova::test_oneway PASSED [ 1%] statsmodels/stats/tests/test_robust_compare.py::Test_Trim::test_trimboth PASSED [ 1%] statsmodels/stats/tests/test_robust_compare.py::Test_Trim::test_trim_mean PASSED [ 1%] statsmodels/tools/tests/test_print_version.py::test_show_versions_show_dirs_false_does_not_print_full_listing PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::test_invalid_bw PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::test_aic_hurvich_matches_hand_computed_trace PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::test_invalid_kernel PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_user_specified_kernel PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_significance_discrete PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_lc_aic PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_significance_seed_legacy PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_mfx_nonlinear_ll_cvls XFAIL [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_lc_cvls PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_ll_cvls PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_ll_cvls PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_ordered_lc_cvls PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_cvls_efficient PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_user_specified_kernel PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_efficient_user_specificed_bw PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_mfx_ll_cvls PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_significance_seed_thread_safe PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_significance_continuous PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_mixed_mfx_ll_cvls PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_significance_seed PASSED [ 1%] statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_efficient_user_specificed_bw PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::test_ivgmm_summary_after_remove_data PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::test_iv2sls_summary_after_remove_data PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::test_ivgmm0_r PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::test_ivgmm1_stata PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::test_iv2sls_r PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::test_calc_weightmatrix_cov PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::test_calc_weightmatrix_invalid_method_raises PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::test_noconstant PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::test_calc_weightmatrix_flatkernel_should_be_symmetric XFAIL:].T @ moms_[:-i] / (nobs - i)` for each lag, without adding its transpose. The 'hac' branch (via sandwich_covariance.S_hac_simple) computes the same kind of sum but correctly adds `s + s.T` per lag, which is why the comment in the source says 'can use HAC with flatkernel' -- flatkernel is a stale, broken trial version producing a non-symmetric weight matrix, which is invalid as a GMM weighting matrix.) [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::test_calc_weightmatrix_hac_is_symmetric PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::test_gmm_basic PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::test_distquantilesgmm_construction XFAILesults = GMMResults(model=self)` before `self.wargs` is set (wargs is normally only set later, inside fitonce()). GMMResults.__init__ immediately calls self._cov_params(), which does `kwds['wargs'] = self.wargs` and raises AttributeError. This is unconditional -- it happens for any distfn -- and the class's own source already has a '# TODO: something wrong with super' comment at the call site that triggers it.) [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::test_fittedvalues PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_use_t PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_hypothesis PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_summary PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_basic PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_other PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_summary PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_bse_other PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_other XFAIL [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_use_t PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_hypothesis PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_basic PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_hypothesis PASSED [ 1%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_summary PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_use_t PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_basic PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_other PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_other XFAIL [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_basic PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_hypothesis PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_use_t PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_summary PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMOLS::test_other XFAIL [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMOLS::test_basic PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_score PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_hypothesis PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_other XFAIL [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_summary PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_use_t PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_basic PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt2::test_basic PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_summary PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_input_dimensions PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_other PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_hausman PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_basic PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_hypothesis PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_hypothesis PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_basic PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_use_t PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_summary PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_other XFAIL [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_other XFAIL [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_basic PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_use_t PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_summary PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_hypothesis PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_bse_other PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_hypothesis PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_basic PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_summary PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_use_t PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_other XFAIL [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_other XFAIL [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_hypothesis PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_use_t PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_basic PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_summary PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_hypothesis PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_basic PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_use_t PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_other PASSED [ 2%] statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_summary PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order5-seasonal_order5-True-None-None-valid5] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-p10-0-q10-P10-0-Q10-4-True-True-False] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-0-0-1-0-0-4-True-True-False] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order8-seasonal_order8-None-False-None-valid8] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-2-1-3-4-1-3-12-True-False-True] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[20-0-0-0-params13-q] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-0-0-0-0-0-Q9-4-True-True-False] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[True-exog21-2-1-3-4-1-3-12-False-True-True] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-0-0-0-params10-q] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[2-0-0-0-params12-q] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order7-seasonal_order7-None-True-None-valid7] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-1-0-0-params5-p] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order4-seasonal_order4-None-None-None-valid4] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-1-1-4-params15-q] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-1-1-4-params17-q] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-2-1-3-4-1-3-12-True-True-False] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-0-0-0-1-1-1-4-True-True-False] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-0-0-1-1-1-4-True-True-False] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-1-0-0-params7-p] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_invalid PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[y-2-2-1-3-4-1-3-12-False-True-True] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-1-1-0-0-0-0-True-True-False] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-0-1-0-0-0-0-True-True-False] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-1-0-0-params16-q] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[True-2-2-1-3-4-1-3-12-False-True-True] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order2-seasonal_order2-None-None-None-valid2] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-2-1-3-4-1-3-12-False-False-True] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-2-1-3-4-1-3-12-False-True-True] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-0-0-0-0-0-4-True-True-False] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order6-seasonal_order6-False-None-None-valid6] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_invalid_estimator PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[y-None-2-1-3-4-1-3-12-False-True-True] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-0-0-0-params11-q] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-exog18-2-1-3-4-1-3-12-False-True-True] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-0-0-0-0-0-0-0-True-True-False] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-0-0-0-params0-p] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-1-1-4-params8-p] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[2-0-0-0-params3-p] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-1-1-4-params6-p] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order3-seasonal_order3-None-None-None-valid3] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[y-exog19-2-1-3-4-1-3-12-False-True-True] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-0-0-0-params9-q] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order1-seasonal_order1-None-None-None-valid1] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order0-seasonal_order0-None-None-None-valid0] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-2-2-1-3-4-1-3-12-False-True-True] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[True-None-2-1-3-4-1-3-12-False-True-True] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[20-0-0-0-params4-p] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-0-0-0-params2-p] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order9-seasonal_order9-None-None-True-valid9] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[y-exog20-2-1-3-4-1-3-12-False-True-True] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-p8-0-0-1-0-0-4-True-True-False] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-0-0-0-params1-p] PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_misc PASSED [ 2%] statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-1-0-0-params14-q] PASSED [ 2%] statsmodels/stats/tests/test_qsturng.py::test_qstrung[k7-0.01] PASSED [ 2%] statsmodels/stats/tests/test_qsturng.py::test_qstrung[k1-0.05] PASSED [ 2%] statsmodels/stats/tests/test_qsturng.py::test_qstrung[k4-0.01] PASSED [ 2%] statsmodels/stats/tests/test_qsturng.py::test_qstrung[k2-0.05] PASSED [ 2%] statsmodels/stats/tests/test_qsturng.py::test_qstrung[k2-0.01] PASSED [ 2%] statsmodels/stats/tests/test_qsturng.py::test_qstrung[k4-0.05] PASSED [ 2%] statsmodels/stats/tests/test_qsturng.py::test_qstrung[k1-0.01] PASSED [ 2%] statsmodels/stats/tests/test_qsturng.py::test_qstrung[k7-0.05] PASSED [ 2%] statsmodels/stats/tests/test_qsturng.py::test_qstrung[k8-0.05] PASSED [ 2%] statsmodels/stats/tests/test_qsturng.py::test_qstrung[k3-0.05] PASSED [ 2%] statsmodels/stats/tests/test_qsturng.py::test_qstrung[k5-0.01] PASSED [ 2%] statsmodels/stats/tests/test_qsturng.py::test_qstrung[k0-0.05] PASSED [ 2%] statsmodels/stats/tests/test_qsturng.py::test_qstrung[k6-0.01] PASSED [ 2%] statsmodels/stats/tests/test_qsturng.py::test_qstrung[k6-0.05] PASSED [ 2%] statsmodels/stats/tests/test_qsturng.py::test_qstrung[k0-0.01] PASSED [ 2%] statsmodels/stats/tests/test_qsturng.py::test_qstrung[k5-0.05] PASSED [ 2%] statsmodels/stats/tests/test_qsturng.py::test_qstrung[k8-0.01] PASSED [ 2%] statsmodels/stats/tests/test_qsturng.py::test_qstrung[k3-0.01] PASSED [ 2%] statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_exceptions PASSED [ 2%] statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_causality PASSED [ 2%] statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_impulse_response PASSED [ 2%] statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_normality PASSED [ 2%] statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_fc PASSED [ 2%] statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_log_like PASSED [ 2%] statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_ols_coefs PASSED [ 2%] statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_whiteness PASSED [ 2%] statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_ols_det_terms PASSED [ 2%] statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_ols_sigma PASSED [ 2%] statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_lag_order_selection PASSED [ 2%] statsmodels/tsa/statespace/tests/test_chandrasekhar.py::test_chandrasekhar_conventional PASSED [ 2%] statsmodels/tsa/statespace/tests/test_chandrasekhar.py::test_chandrasekhar_univariate PASSED [ 2%] statsmodels/tsa/statespace/tests/test_chandrasekhar.py::test_invalid PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::test_rng_types[rng2] PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::test_rng_types[rng3] PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::test_rng_types[None] PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::test_rng_types[0] PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestEVAsymLogistic::test0 PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestEVAsymLogistic::test2m PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestEVAsymLogistic::test PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestEVHR::test2m PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestEVHR::test PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestEVHR::test0 PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestClayton::test0 PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestClayton::test PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestClayton::test2m PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestEVAsymMixed::test0 PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestEVAsymMixed::test2m PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestEVAsymMixed::test PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestGaussian::test PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestGaussian::test2m PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestGaussian::test0 PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestIndependence::test0 PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestGumbel::test2m PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestGumbel::test PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestGumbel::test0 PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestFrank::test PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestFrank::test0 PASSED [ 2%] statsmodels/distributions/copula/tests/test_model.py::TestFrank::test2m PASSED [ 2%] statsmodels/tsa/arima/estimators/tests/test_statespace.py::test_start_params PASSED [ 2%] statsmodels/tsa/arima/estimators/tests/test_statespace.py::test_basic PASSED [ 2%] statsmodels/graphics/tests/test_plot_grids.py::test_scatter_ellipse_matches_covariance PASSED [ 2%] statsmodels/graphics/tests/test_plot_grids.py::test_scatter_ellipse_multiple_variables_and_levels PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case4] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case6] SKIPPED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case4] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case0] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_multinomial_proportions_sison_glaz_sparse[counts1] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case1] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_multinomial_proportions PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_multinomial_proportions_sison_glaz_sparse[counts0] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case5] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case7] SKIPPED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case5] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_proportion_effect_size PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case3] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_multinomial_proportions_sison_glaz_sparse[counts2] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case7] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_multinomial_proportions_zeros PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case7] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case5] SKIPPED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case6] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case6] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case4] SKIPPED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case2] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[beta] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_multinomial_proportions_sison_glaz_sparse[counts3] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case7] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case1] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case3] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case3] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case0] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case2] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case2] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[agresti_coull] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_multinomial_proportions_errors PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case6] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case0] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case2] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case0] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case4] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case5] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case1] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case3] SKIPPED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case1] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[wilson] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion_wilson_clip PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case5] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case4] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_multinomial_proportions_sison_glaz_sparse_r_reference PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case6] PASSED [ 2%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case7] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case2] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[jeffreys] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case3] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case1] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_samplesize_confidenceinterval_prop PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case0] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[normal] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint_edge[0-1-smaller-expected5] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[binom_test-count4] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count30-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[jeffreys-count11] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[beta-count7] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count47-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[binom_test-count12] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count2] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count10-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count25-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[wilson-count4] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count5-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count6-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count2] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count14] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[agresti_coull-count7] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count33-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count13] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count5] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[normal-count3] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count13-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count26-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count44-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint[jeffreys-0.05-larger-expected11-200-100] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count6-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count11] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count39-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint_invalid_alternative_raises PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint_edge[1-1-smaller-expected4] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count19-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count6] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count5-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count12] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count4] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_score_confint_koopman_nam PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count15] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[agresti_coull-count6] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[normal-count2] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count43-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count14-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count10] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count21-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count7] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count34-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_test_2indep PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[jeffreys-count10] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count28-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[binom_test-count5] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint_binom_test[0.1-smaller-expected8-1e-07-200-100] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count3] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[beta-count6] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[binom_test-count13] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count17-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count22-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count40-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[wilson-count5] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count3] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count37-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count41-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[normal-count0] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count16-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count23-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count10] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count36-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count6] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[agresti_coull-count4] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count5] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint_edge[1-1-two-sided-expected0] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count29-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count12] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count1] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count15-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count20-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[beta-count4] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count42-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[binom_test-count11] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[jeffreys-count12] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[binom_test-count7] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count35-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count1] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count14] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[jeffreys-count9] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[wilson-count7] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[beta-count5] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count38-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[binom_test-count10] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count7-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count0] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint[wilson-0.05-smaller-expected15-200-100] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint[normal-0.05-smaller-expected12-200-100] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[binom_test-count6] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count4-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint_edge[0-1-larger-expected3] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count18-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[jeffreys-count13] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count15] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count32-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count0] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count45-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[jeffreys-count8] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[wilson-count6] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count12-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count27-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count4-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[normal-count1] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint[beta-0.05-smaller-expected14-200-100] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[agresti_coull-count5] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count11] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count7-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count7] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count31-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count4] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count11-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count13] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count24-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count46-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count1] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count19-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count8] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_int_check PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count5-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count6-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count39-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint[jeffreys-0.05-smaller-expected16-200-100] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count26-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint[wilson-0.05-two-sided-expected5-200-100] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count13-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[normal-count4] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count44-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count2] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count14] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count13] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count33-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[agresti_coull-count0] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count6-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count5] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count10] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[wilson-count3] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count5-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count5] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count47-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count25-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[beta-count0] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[binom_test-count15] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count10-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count30-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[binom_test-count3] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count11] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count4] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count37-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count22-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[wilson-count2] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count17-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint[agresti_coull-0.05-smaller-expected13-200-100] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count40-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint_binom_test[0.01-two-sided-expected0-0.0001-200-100] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[beta-count1] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[binom_test-count14] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint_binom_test[0.05-larger-expected4-1e-07-200-100] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count4] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[binom_test-count2] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count28-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count9] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count34-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count0] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count43-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count21-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count14-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[normal-count5] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count12] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[agresti_coull-count1] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint[beta-0.05-larger-expected9-200-100] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count3] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count15] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[wilson-count0] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count13] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count9] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count6] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[binom_test-count0] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[jeffreys-count15] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count35-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count20-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[beta-count3] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count15-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count6] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count42-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count15] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count29-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count2] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count36-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[agresti_coull-count3] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count10] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count1] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[normal-count7] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_power_2indep PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count41-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count23-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count16-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count24-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count11-50] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count46-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_proportion_ztests PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count14] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count3] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint_binom_test[0.01-larger-expected3-1e-07-200-100] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count31-47] PASSED [ 3%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count0] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[agresti_coull-count2] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count7-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count11] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count4-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[normal-count6] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count45-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count27-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[wilson-count1] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count12-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count7] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count32-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count8] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count12] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[jeffreys-count14] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count4-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[binom_test-count1] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count18-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count7] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count38-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[beta-count2] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count7-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count3-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint[normal-0.1-two-sided-expected2-200-100] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count2] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[beta-count12] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count0-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[jeffreys-count5] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count9-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count42-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count15-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[beta-count8] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count20-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count35-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count10] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count9] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count29-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count0-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count0] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count3-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count11] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[wilson-count15] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count16-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count23-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[agresti_coull-count11] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count41-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count9-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint[normal-0.01-two-sided-expected1-200-100] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[agresti_coull-count8] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count36-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count31-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count1] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint[normal-0.05-two-sided-expected0-200-100] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count8] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count46-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[wilson-count14] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count11-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count24-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count10] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[agresti_coull-count10] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[agresti_coull-count9] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_binom_test_alternative_deprecated_alias PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count3] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count32-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_power_binom_tost PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_binom_test_reject_interval_alternative PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count12-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count27-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint_binom_test[0.1-larger-expected5-1e-07-200-100] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[jeffreys-count4] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count45-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[beta-count13] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[beta-count9] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count38-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count11] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count18-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count39-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count12] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count3] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_power_ztost_prop_norm PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count19-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count33-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[normal-count14] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count9] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[agresti_coull-count12] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count44-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count13-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_confint_2indep PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count26-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[wilson-count8] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[jeffreys-count6] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[beta-count11] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count1] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint[jeffreys-0.05-two-sided-expected6-200-100] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count13] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[binom_test-count8] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count30-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count10-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count25-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count47-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count40-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[beta-count10] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count17-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[wilson-count9] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count22-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint[normal-0.05-larger-expected7-200-100] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[jeffreys-count7] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count37-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count8-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count0] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count1-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint_edge[1-1-larger-expected2] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count12] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count28-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[binom_test-count9] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count2-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count14-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count21-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count13] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count8-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count43-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint_binom_test[0.05-two-sided-expected1-0.0001-200-100] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count34-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count2] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[normal-count15] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count8] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count2-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint_edge[0-1-two-sided-expected1] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count1-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[agresti_coull-count13] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count9-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[normal-count10] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count36-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count23-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_power_ztost_prop PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count16-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count41-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count3-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[wilson-count12] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count29-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count7] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_equivalence_2indep PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count0-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint[agresti_coull-0.05-larger-expected8-200-100] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count35-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count9-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count42-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count20-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count15-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_proportions_chisquare_pairscontrol_alternative PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[jeffreys-count2] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count0-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[beta-count15] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count5] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count3-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_confint_2indep_propcis PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count18-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count38-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count27-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count12-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[beta-count14] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint[beta-0.05-two-sided-expected4-200-100] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[jeffreys-count3] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count45-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count4] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count32-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[normal-count11] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count46-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count24-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[wilson-count13] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count11-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count31-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint_binom_test[0.01-smaller-expected6-1e-07-200-100] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count6] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count25-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count10-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count9] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count47-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ztost PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint_binom_test[0.05-smaller-expected7-1e-07-200-100] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count14] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_binom_rejection_interval PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count30-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count9] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count6] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_samplesize_proportions_2indep_onetail_alternative PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[jeffreys-count1] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count44-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count26-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[agresti_coull-count15] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count13-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[normal-count8] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[normal-count13] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count33-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count19-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count4] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count39-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count15] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[wilson-count11] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[agresti_coull-count14] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count1-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[normal-count9] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[normal-count12] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_binom_tost PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count2-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint[agresti_coull-0.05-two-sided-expected3-200-100] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count5] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count34-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_score_test_2indep PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count21-50] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[wilson-count10] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count14-47] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count14] PASSED [ 4%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count8-47] PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count43-50] PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count8] PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint_binom_test[0.1-two-sided-expected2-0.0001-200-100] PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count2-50] PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count15] PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count1-47] PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count28-50] PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count37-47] PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count7] PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count8] PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count8-47] PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::test_binom_test PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[jeffreys-count0] PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count40-47] PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count22-47] PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::test_proportion_confint[wilson-0.05-larger-expected10-200-100] PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count17-50] PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::TestProportion::test_number_pairs_1493 PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::TestProportion::test_pairwiseproptest PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::TestProportion::test_proptest PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::TestProportion::test_scalar PASSED [ 5%] statsmodels/stats/tests/test_proportion.py::TestProportion::test_default_values PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_is_float_index[4] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_is_int_index[8-u] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_deprecate_keyword[unchanged] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_deprecate_keyword[old] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_is_int_index[4-u] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_deprecate_kwarg[old-True] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_is_int_index[2-u] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_missing_deprecate_kwarg[bogus] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_callable_deprecate_kwarg[-1.4] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_is_int_index[1-u] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_missing_deprecate_kwarg[-1.23] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_is_int_index[2-i] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_deprecate_kwarg[new-False] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_is_int_index[1-i] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_bad_deprecate_kwarg PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_is_int_index[4-i] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_is_float_index[8] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_missing_deprecate_kwarg[12345] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_dict_deprecate_kwarg[no] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_callable_deprecate_kwarg[1] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_dict_deprecate_kwarg[yes] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_callable_deprecate_kwarg[0] PASSED [ 5%] statsmodels/compat/tests/test_pandas.py::test_is_int_index[8-i] PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results[False-ct] PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results[False-c] PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results[True-c] PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::test_apply_results PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::test_predict_custom_index PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results[True-n] PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::test_append_results PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results[True-ct] PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results[False-n] PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::test_specifications PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::test_summary_after_remove_data PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::test_misc_exog PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::test_param_names_trend PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::test_misspecifications PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::test_vma1_exog PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::test_forecast_exog PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results_exog PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::test_recreate_model PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_bse_oim PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_mle PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_dynamic_predict PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_params PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_bic PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_results PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_aic PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_loglike PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_predict PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_bse_approx PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_standardized_forecasts_error PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_standardized_forecasts_error PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_summary PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_bse_approx PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_aic PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_bic PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_params PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_results PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_loglike PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_predict PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_dynamic_predict PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_mle PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_bse_oim PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_results PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_predict PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_loglike PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_params PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_mle PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_summary PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_bse_oim PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_bse_approx PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_dynamic_predict PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_standardized_forecasts_error PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_aic PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_bic PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_aic PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_bic PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_results PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_predict PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_loglike PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_standardized_forecasts_error PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_mle PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_bse_oim SKIPPED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_bse_approx SKIPPED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_params PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_dynamic_predict PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_standardized_forecasts_error PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_predict PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_loglike PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_results PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_dynamic_predict PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_bse_approx PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_summary PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_bic PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_aic PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_forecast PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_params PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_bse_oim PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_mle PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_bse_oim PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_standardized_forecasts_error PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_aic PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_representation PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_bic PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_params PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_results PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_loglike PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_predict PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_bse_approx PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_summary PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_dynamic_predict PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_mle PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_standardized_forecasts_error PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_results PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_loglike PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_predict PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_mle PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_dynamic_predict PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_bse_oim PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_params PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_bic PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_aic PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_bse_approx PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_forecast PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_bse_approx PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_bse_oim PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_mle PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_dynamic_predict PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_summary PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_bic PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_loglike PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_predict PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_aic PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_standardized_forecasts_error PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_results PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_params PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_summary PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_params PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_bic PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_aic PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_bse_approx SKIPPED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_predict PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_loglike PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_results PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_dynamic_predict PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_mle PASSED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_bse_oim SKIPPED [ 5%] statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_standardized_forecasts_error PASSED [ 5%] statsmodels/sandbox/panel/tests/test_random_panel.py::test_panel_sample_rng_reproducible PASSED [ 5%] statsmodels/sandbox/panel/tests/test_random_panel.py::test_short_panel PASSED [ 5%] statsmodels/sandbox/panel/tests/test_random_panel.py::test_panel_sample_rng_types PASSED [ 5%] statsmodels/sandbox/panel/tests/test_random_panel.py::test_panel_sample_rng_default_is_generator PASSED [ 5%] statsmodels/graphics/tests/test_mosaicplot.py::test_recursive_split_short_gap_sequence PASSED [ 5%] statsmodels/graphics/tests/test_mosaicplot.py::test_rect_pure_split PASSED [ 5%] statsmodels/graphics/tests/test_mosaicplot.py::test_proportion_normalization PASSED [ 5%] statsmodels/graphics/tests/test_mosaicplot.py::test_mosaic_empty_cells PASSED [ 5%] statsmodels/graphics/tests/test_mosaicplot.py::test_rect_deformed_split PASSED [ 5%] statsmodels/graphics/tests/test_mosaicplot.py::test_mosaic_simple PASSED [ 5%] statsmodels/graphics/tests/test_mosaicplot.py::test_missing_category PASSED [ 5%] statsmodels/graphics/tests/test_mosaicplot.py::test_false_split PASSED [ 5%] statsmodels/graphics/tests/test_mosaicplot.py::test_mosaic PASSED [ 5%] statsmodels/graphics/tests/test_mosaicplot.py::test_gap_split PASSED [ 5%] statsmodels/graphics/tests/test_mosaicplot.py::test_data_conversion PASSED [ 5%] statsmodels/graphics/tests/test_mosaicplot.py::test_mosaic_very_complex PASSED [ 5%] statsmodels/graphics/tests/test_mosaicplot.py::test__reduce_dict PASSED [ 5%] statsmodels/graphics/tests/test_mosaicplot.py::test__key_splitting PASSED [ 5%] statsmodels/graphics/tests/test_mosaicplot.py::test_recursive_split PASSED [ 5%] statsmodels/graphics/tests/test_mosaicplot.py::test_axes_labeling PASSED [ 5%] statsmodels/graphics/tests/test_mosaicplot.py::test_default_arg_index PASSED [ 5%] statsmodels/tsa/statespace/tests/test_save.py::test_sarimax_save_remove_data[order1] PASSED [ 5%] statsmodels/tsa/statespace/tests/test_save.py::test_sarimax_save_remove_data[order0] PASSED [ 5%] statsmodels/tsa/statespace/tests/test_save.py::test_varmax_pickle PASSED [ 5%] statsmodels/tsa/statespace/tests/test_save.py::test_sarimax_pickle PASSED [ 5%] statsmodels/tsa/statespace/tests/test_save.py::test_structural_pickle PASSED [ 5%] statsmodels/tsa/statespace/tests/test_save.py::test_sarimax_save_remove_data[order2] PASSED [ 5%] statsmodels/tsa/statespace/tests/test_save.py::test_sarimax PASSED [ 5%] statsmodels/tsa/statespace/tests/test_save.py::test_structural PASSED [ 5%] statsmodels/tsa/statespace/tests/test_save.py::test_dynamic_factor PASSED [ 5%] statsmodels/tsa/statespace/tests/test_save.py::test_dynamic_factor_pickle PASSED [ 5%] statsmodels/tsa/statespace/tests/test_save.py::test_existing_pickle PASSED [ 5%] statsmodels/tsa/statespace/tests/test_save.py::test_varmax PASSED [ 5%] statsmodels/sandbox/tests/test_pca.py::test_pca_svd PASSED [ 5%] statsmodels/sandbox/tests/test_pca.py::test_pca_princomp PASSED [ 5%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[5-ma_order5-fixed_params5-invalid_fixed_params5] PASSED [ 5%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_invalid_orders PASSED [ 5%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_initial_order PASSED [ 5%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_brockwell_davis_example_517 PASSED [ 5%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_package_fixed_and_free_params_info[fixed_params2-spec_ar_lags2-spec_ma_lags2-expected_bunch2] PASSED [ 5%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_itsmr_with_fixed_params[fixed_params0] PASSED [ 5%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[ar_order3-ma_order3-fixed_params3-invalid_fixed_params3] PASSED [ 5%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[0-2-fixed_params6-None] PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[2-2-fixed_params9-None] PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_itsmr_with_fixed_params[fixed_params1] PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_set_default_unbiased PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_nonconsecutive_lags PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_itsmr_with_fixed_params[fixed_params2] PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_set_default_unbiased_with_fixed_params PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_unbiased_error PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[ar_order1-0-fixed_params1-None] PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags4-free_lags4-fixed_params4-free_params4-spec_lags4-expected_all_params4] PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags5-free_lags5-fixed_params5-free_params5-spec_lags5-expected_all_params5] PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[1-0-fixed_params7-None] PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_package_fixed_and_free_params_info[fixed_params1-spec_ar_lags1-spec_ma_lags1-expected_bunch1] PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags7-free_lags7-fixed_params7-free_params7-spec_lags7-expected_all_params7] PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags6-free_lags6-fixed_params6-free_params6-spec_lags6-expected_all_params6] PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_itsmr PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags2-free_lags2-fixed_params2-free_params2-spec_lags2-expected_all_params2] PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags3-free_lags3-fixed_params3-free_params3-spec_lags3-expected_all_params3] PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_package_fixed_and_free_params_info[fixed_params0-spec_ar_lags0-spec_ma_lags0-expected_bunch0] PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags1-free_lags1-fixed_params1-free_params1-spec_lags1-expected_all_params1] PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[1-3-fixed_params2-invalid_fixed_params2] PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[0-0-fixed_params4-invalid_fixed_params4] PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[2-ma_order0-None-None] PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_unbiased_error_with_fixed_params PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[ar_order8-3-fixed_params8-None] PASSED [ 6%] statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags0-free_lags0-fixed_params0-free_params0-spec_lags0-expected_all_params0] PASSED [ 6%] statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_collinearity PASSED [ 6%] statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregation PASSED [ 6%] statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_func PASSED [ 6%] statsmodels/stats/tests/test_anova_rm.py::test_two_factors_repeated_measures_anova PASSED [ 6%] statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_compare_with_ezANOVA PASSED [ 6%] statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_unbalanced_data PASSED [ 6%] statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregation_one_subject_duplicated PASSED [ 6%] statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_func_mean PASSED [ 6%] statsmodels/stats/tests/test_anova_rm.py::test_three_factors_repeated_measures_anova PASSED [ 6%] statsmodels/stats/tests/test_anova_rm.py::test_single_factor_repeated_measures_anova PASSED [ 6%] statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_invalid_factor_name PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[copper] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[modechoice] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[anes96] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[committee] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[fair] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[spector] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[danish_data] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[grunfeld] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[interest_inflation] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[ccard] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[statecrime] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[fertility] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[cancer] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[scotland] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[co2] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[nile] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[macrodata] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[randhie] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[longley] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[engel] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[star98] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[elnino] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[china_smoking] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[stackloss] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[heart] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[sunspots] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[strikes] PASSED [ 6%] statsmodels/datasets/tests/test_data.py::test_dataset[cpunish] PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_predict_prob PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_var PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_predict_generic_zi PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_mean PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::test_summary_after_remove_data[ZeroInflatedPoisson] PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::test_summary_after_remove_data[ZeroInflatedGeneralizedPoisson] PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::test_summary_after_remove_data[ZeroInflatedNegativeBinomialP] PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_aic PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_bic PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_llf PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_summary PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_bse PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_fit_regularized_invalid_method <- discrete/tests/test_discrete.py PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_t PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_null PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_fit_regularized XFAIL [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_init_keys PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_conf_int PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_params PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_t PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_conf_int PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized_invalid_method <- discrete/tests/test_discrete.py PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_init_keys PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_null PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_bse PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_summary PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_params PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_names PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_aic PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_bic PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_llf PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_params PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_t PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized_invalid_method <- discrete/tests/test_discrete.py PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_null PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_conf_int PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_llf PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_aic PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_bic PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_summary PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_bse PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_init_keys PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedPoisson_predict::test_mean PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedPoisson_predict::test_predict_prob PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedPoisson_predict::test_predict_options PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedPoisson_predict::test_var PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized_invalid_method <- discrete/tests/test_discrete.py PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_t PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_bse PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_llf PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_null PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_aic PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_bic PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_summary PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_conf_int PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_init_keys PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_exposure PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_params PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_zero_nonzero_mean PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_mean PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson_predict::test_predict_prob PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson_predict::test_mean PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson_predict::test_var PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_minimize PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_bse PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_init_keys PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized_invalid_method <- discrete/tests/test_discrete.py PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_t PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_conf_int PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_params PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_summary PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_llf PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_bic PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_null PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_aic PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_minimize PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_fit_regularized_invalid_method <- discrete/tests/test_discrete.py PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_bse PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_init_keys PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_t PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_fit_regularized PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_bic PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_aic PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_llf PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_summary PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_params PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_conf_int PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_null PASSED [ 6%] statsmodels/discrete/tests/test_count_model.py::TestPandasOffset::test_pd_offset_exposure PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_t_test_invalid_alternative[True] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_t_test_alternative_deprecated_alias[True-2s-two-sided] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_t_test[False-smaller] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_dist[True-dist3] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_t_test_alternative_deprecated_alias[True-s-smaller] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_dist[False-dist3] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_t_test[True-larger] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_t_test_alternative_deprecated_alias[False-s-smaller] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_basic[False] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_t_test_alternative_deprecated_alias[True-2-sided-two-sided] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_t_test[True-smaller] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_t_test_invalid_alternative[False] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_t_test_alternative_deprecated_alias[True-l-larger] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_dist[False-None] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_t_test_alternative_deprecated_alias[False-2s-two-sided] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_dist[False-norm] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_t_test[False-larger] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_basic[True] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_dist[True-t] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_t_test[True-two-sided] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_dist[False-t] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_dist[True-None] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_dist[True-norm] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_t_test_alternative_deprecated_alias[False-2-sided-two-sided] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_t_test[False-two-sided] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_tvalues[True] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_t_test_alternative_deprecated_alias[False-l-larger] PASSED [ 6%] statsmodels/tsa/base/tests/test_prediction.py::test_tvalues[False] PASSED [ 6%] statsmodels/iolib/tests/test_pickle.py::test_pickle_supports_open PASSED [ 6%] statsmodels/iolib/tests/test_pickle.py::test_pickle PASSED [ 6%] statsmodels/stats/tests/test_panel_robustcov.py::test_panel_robust_cov PASSED [ 6%] statsmodels/stats/tests/test_panel_robustcov.py::test_cov_cluster_invalid_crv_type_raises PASSED [ 6%] statsmodels/distributions/tests/test_mixture.py::TestMixtureDistributions::test_mixture_rvs_random PASSED [ 6%] statsmodels/distributions/tests/test_mixture.py::TestMixtureDistributions::test_mv_mixture_rvs_random PASSED [ 6%] statsmodels/distributions/tests/test_mixture.py::TestMixtureDistributions::test_mixture_cdf PASSED [ 6%] statsmodels/distributions/tests/test_mixture.py::TestMixtureDistributions::test_mixture_pdf PASSED [ 6%] statsmodels/distributions/tests/test_mixture.py::TestMixtureDistributions::test_mv_mixture_rvs_fixed PASSED [ 6%] statsmodels/distributions/tests/test_mixture.py::TestMixtureDistributions::test_mixture_rvs_fixed PASSED [ 6%] statsmodels/tsa/statespace/tests/test_forecasting.py::test_append_multistep[period] PASSED [ 6%] statsmodels/tsa/statespace/tests/test_forecasting.py::test_append_multistep[list] PASSED [ 6%] statsmodels/tsa/statespace/tests/test_forecasting.py::test_append_multistep[numpy] PASSED [ 6%] statsmodels/tsa/statespace/tests/test_forecasting.py::test_append_multistep[date] PASSED [ 6%] statsmodels/tsa/statespace/tests/test_forecasting.py::test_append_multistep[range] PASSED [ 6%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[range-list] PASSED [ 6%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[range-list] PASSED [ 6%] statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[range-list] PASSED [ 6%] statsmodels/tsa/tests/test_deterministic.py::test_invalid_formcast_index[range] PASSED [ 6%] statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[range-None] PASSED [ 6%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[range-None] PASSED [ 6%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[range-None] PASSED [ 6%] statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[int64-None] PASSED [ 6%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[int64-None] PASSED [ 6%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[int64-None] PASSED [ 6%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[int64-list] PASSED [ 6%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[int64-list] PASSED [ 6%] statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[int64-list] PASSED [ 6%] statsmodels/tsa/tests/test_deterministic.py::test_invalid_formcast_index[int64] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality[int64] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[int64-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[int64-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[int64-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[range-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[range-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[range-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period3] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_fourier_smoke[False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period2] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period0] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[datetime-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[datetime-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[datetime-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[datetime-None] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[datetime-None] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[datetime-None] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[datetime-list] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[datetime-list] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[datetime-list] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_invalid_formcast_index[datetime] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend[datetime] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_fourier[datetime] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality[datetime] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period1] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period4] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period10] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend_smoke[False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period11] FAILED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period5] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[fib-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[fib-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[fib-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[fib-None] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[fib-None] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[fib-None] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[fib-list] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[fib-list] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[fib-list] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_invalid_formcast_index[fib] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_fourier[fib] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend[fib] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality[fib] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period7] FAILED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[period-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[period-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[period-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[period-None] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[period-None] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[period-None] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[period-list] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[period-list] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[period-list] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_invalid_formcast_index[period] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality[period] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend[period] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_fourier[period] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period6] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period12] FAILED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period8] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period9] FAILED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_fourier[int64] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend[int64] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period9] FAILED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period8] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_fourier_smoke[None] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period5] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period10] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period4] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period11] FAILED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period6] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period7] FAILED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period12] FAILED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period2] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period3] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period1] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend_smoke[None] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period0] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality[range] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_time_trend[range] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_fourier[range] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period1] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period0] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period2] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend_smoke[list] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period3] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period6] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period7] FAILED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period5] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period4] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period11] FAILED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period10] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period12] FAILED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_fourier_smoke[list] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period9] FAILED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period8] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-0-True-1-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-0-False-0-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_determintic_term_equiv[index3] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_unknown_freq PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-1-False-1-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-0-False-1-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_index_and_terms_properties PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-0-True-0-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-0-False-1-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_determintic_term_equiv[index2] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-0-False-1-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_check_index_type PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-0-True-1-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_determintic_term_equiv[index0] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_seasonality_time_index PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_determintic_term_equiv[index1] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-1-True-0-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-1-True-0-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-1-False-0-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-1-True-0-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process_errors PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-0-True-1-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-0-True-1-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-0-False-1-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-1-True-1-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-0-False-1-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-0-True-1-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-1-True-0-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-1-False-0-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonal_period_w PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-1-False-0-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-1-True-0-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-1-False-1-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-1-True-1-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-1-False-1-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-0-True-1-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_fourier PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-0-False-0-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_out_of_sample_without_in_sample[False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_index_like PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_additional_terms PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-1-False-0-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-0-True-0-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-1-False-0-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-0-False-0-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-1-True-0-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-0-False-0-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-0-True-0-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-0-True-0-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_range_error PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-1-True-1-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-1-False-1-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-1-True-1-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-0-False-1-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-0-True-0-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonal_period_a FAILED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-1-False-0-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-1-True-0-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_drop PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-1-False-1-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend_base PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonal_period_q FAILED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-1-False-1-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-0-True-0-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-1-False-0-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-1-False-0-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_out_of_sample_without_in_sample[True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-0-False-1-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-0-True-1-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_range_index_basic PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-0-False-0-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonal_period_d PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-1-True-1-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-0-False-1-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-0-True-1-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_non_unit_range PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-0-False-0-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_invalid_freq_period PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_forbidden_index PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_seasonal_from_index_err PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-0-True-0-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-0-False-0-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-0-True-0-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-1-True-0-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-0-False-0-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-1-False-1-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-1-True-1-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-1-True-1-False] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-1-False-1-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_range_casting PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-1-True-1-True] PASSED [ 7%] statsmodels/tsa/tests/test_deterministic.py::test_drop_two_consants PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::test_multivariate_acovf PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::test_multivariate_pacf PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_matrix_cols PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_submatrix PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_matrix_cols PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_submatrix PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_matrix_cols PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_diagonal_submatrix PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_matrix_rows PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_diagonal_submatrix PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_matrix_rows PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_diagonal_submatrix PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_matrix_rows PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_vector PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_vector PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_submatrix PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_vector PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::TestIsInvertible::test_cases PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::TestConcat::test_invalid PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::TestConcat::test_valid PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::TestUnconstrainStationaryUnivariate::test_cases PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::TestSolveDiscreteLyapunov::test_multivariate PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::TestSolveDiscreteLyapunov::test_univariate PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::TestUnconstrainStationaryMultivariate::test_cases PASSED [ 7%] statsmodels/tsa/statespace/tests/test_tools.py::TestStationaryUnivariate::test_cases PASSED [ 8%] statsmodels/tsa/statespace/tests/test_tools.py::TestCompanionMatrix::test_cases PASSED [ 8%] statsmodels/tsa/statespace/tests/test_tools.py::TestCompanionMatrix::test_special_case PASSED [ 8%] statsmodels/tsa/statespace/tests/test_tools.py::TestStationaryMultivariate::test_cases PASSED [ 8%] statsmodels/tsa/statespace/tests/test_tools.py::TestValidateVectorShape::test_valid_cases PASSED [ 8%] statsmodels/tsa/statespace/tests/test_tools.py::TestValidateVectorShape::test_invalid_cases PASSED [ 8%] statsmodels/tsa/statespace/tests/test_tools.py::TestDiff::test_cases PASSED [ 8%] statsmodels/tsa/statespace/tests/test_tools.py::TestConstrainStationaryUnivariate::test_cases PASSED [ 8%] statsmodels/tsa/statespace/tests/test_tools.py::TestConstrainStationaryMultivariate::test_cases PASSED [ 8%] statsmodels/tsa/statespace/tests/test_tools.py::TestValidateMatrixShape::test_valid_cases PASSED [ 8%] statsmodels/tsa/statespace/tests/test_tools.py::TestValidateMatrixShape::test_invalid_cases PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_invalid_family_link[Gaussian-links1] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_family_link_check[Gaussian-links1] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_tweedie_loglike_obs[1.9] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_invalid_family_link[Gamma-links2] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_family_link[Binomial-links3] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_family_link[NegativeBinomial-links5] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_invalid_family_link[Poisson-links0] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_binomial_loglike_obs[0-0] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_family_link_check[Tweedie-links6] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_family_link[Gamma-links2] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_family_link_check[Gamma-links2] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_binomial_loglike_obs[0-1] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_tweedie_log_wright_bessel PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_family_link_check[Binomial-links3] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_invalid_family_link[Binomial-links3] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_family_link[Gaussian-links1] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_family_link[Tweedie-links6] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_invalid_family_link[NegativeBinomial-links5] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_binomial_loglike_obs[1-1] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_invalid_family_link[InverseGaussian-links4] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_family_link[Poisson-links0] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_binomial_loglike_obs[1-0] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_tweedie_loglike_obs[1.5] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_binomial_varfunc_deriv PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_family_link_check[InverseGaussian-links4] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_tweedie_loglike_obs[1.1] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_family_link[InverseGaussian-links4] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_invalid_family_link[Tweedie-links6] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_family_link_check[Poisson-links0] PASSED [ 8%] statsmodels/genmod/families/tests/test_family.py::test_family_link_check[NegativeBinomial-links5] PASSED [ 8%] statsmodels/sandbox/regression/tests/test_predstd.py::TestAtleast2dcol::test_accepts_plain_list PASSED [ 8%] statsmodels/sandbox/regression/tests/test_predstd.py::TestAtleast2dcol::test_2d_input_raises PASSED [ 8%] statsmodels/sandbox/regression/tests/test_predstd.py::TestAtleast2dcol::test_0d_becomes_2d PASSED [ 8%] statsmodels/sandbox/regression/tests/test_predstd.py::TestAtleast2dcol::test_1d_becomes_column PASSED [ 8%] statsmodels/sandbox/regression/tests/test_predstd.py::TestWlsPredictionStd::test_scalar_weight_with_explicit_exog PASSED [ 8%] statsmodels/sandbox/regression/tests/test_predstd.py::TestWlsPredictionStd::test_weights_shape_mismatch_raises PASSED [ 8%] statsmodels/sandbox/regression/tests/test_predstd.py::TestWlsPredictionStd::test_explicit_weights_with_explicit_exog PASSED [ 8%] statsmodels/sandbox/regression/tests/test_predstd.py::TestWlsPredictionStd::test_wls_default_exog_matches_nobs PASSED [ 8%] statsmodels/sandbox/regression/tests/test_predstd.py::TestWlsPredictionStd::test_explicit_exog_matches_default_subset PASSED [ 8%] statsmodels/sandbox/regression/tests/test_predstd.py::TestWlsPredictionStd::test_narrower_alpha_gives_wider_interval PASSED [ 8%] statsmodels/sandbox/regression/tests/test_predstd.py::TestWlsPredictionStd::test_default_exog_matches_nobs PASSED [ 8%] statsmodels/sandbox/regression/tests/test_predstd.py::TestWlsPredictionStd::test_wrong_exog_shape_raises PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[1-1-1-False] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[k_factors9-factor_orders9-1-False] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[3-6-1-False] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[k_factors9-factor_orders9-1-False] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_news[news_222] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[k_factors8-factor_orders8-1-True] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_news[news_112] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[3-1-1-False] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[1-6-1-False] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[k_factors10-factor_orders10-factor_multiplicities10-True] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep1[11] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[112] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[3-6-1-True] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[1-1-1-False] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[222] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[1-6-1-True] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[3-1-1-True] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[111] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[k_factors11-factor_orders11-factor_multiplicities11-False] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[k_factors11-factor_orders11-factor_multiplicities11-False] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep1[22] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[1-1-1-True] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[221] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep1[block_22] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[block_111] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[11F] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_news[news_block_222] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[3-factor_orders3-1-True] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[3-factor_orders7-1-False] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[k_factors8-factor_orders8-1-True] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[block_221] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[22F] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[1-6-1-True] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_news[news_block_112] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[1-6-1-False] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep1[block_11] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[3-1-1-True] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[block_112] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[k_factors10-factor_orders10-factor_multiplicities10-True] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[3-1-1-False] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[1-1-1-True] PASSED [ 8%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[block_222] PASSED [ 8%] statsmodels/regression/tests/test_processreg.py::test_formulas[False] PASSED [ 8%] statsmodels/regression/tests/test_processreg.py::test_score_numdiff[False] PASSED [ 8%] statsmodels/regression/tests/test_processreg.py::test_arrays[False] PASSED [ 8%] statsmodels/regression/tests/test_processreg.py::test_split_param_names_partitions_xnames PASSED [ 8%] statsmodels/regression/tests/test_processreg.py::test_arrays[True] PASSED [ 8%] statsmodels/regression/tests/test_processreg.py::test_covariance_group_matches_direct_call PASSED [ 8%] statsmodels/regression/tests/test_processreg.py::test_summary_after_remove_data PASSED [ 8%] statsmodels/regression/tests/test_processreg.py::test_covariance_matches_gaussian_kernel_formula PASSED [ 8%] statsmodels/regression/tests/test_processreg.py::test_formulas[True] PASSED [ 8%] statsmodels/regression/tests/test_processreg.py::test_score_numdiff[True] PASSED [ 8%] statsmodels/regression/tests/test_processreg.py::test_predict_matches_mean_structure_formula PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_local_fdr_correction_against_r_fdrtool[pvals3-1.0-expected_fdr3-expected_lfdr3] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_local_fdr_correction_against_r_fdrtool[pvals2-0.9-expected_fdr2-expected_lfdr2] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_local_fdr_correction_reference PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_local_fdr_correction_against_r_fdrtool[pvals0-1.0-expected_fdr0-expected_lfdr0] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_local_fdr_correction_against_r_fdrtool[pvals1-0.7-expected_fdr1-expected_lfdr1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hommel-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_tsbky-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-b-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbh-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_gbs-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_i-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-hs-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_i-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-h-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbky-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_i-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-s-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_gbs-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hommel-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_null_constrained[False-True-False] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_n-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_multipletests_empty[fdr_tsbh] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_issorted[hs] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hommel-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-h-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_n-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hs-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbky-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-b-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_n-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_null_constrained[False-False-False] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hs-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-h-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_gbs-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-s-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbky-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-h-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_gbs-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbh-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_multipletests_empty[fdr_bh] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_issorted[lfdr] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_null_constrained[True-False-False] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hs-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_tsbky-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_issorted[s] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-h-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-h-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-b-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-s-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_i-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_tsbh-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_tsbh-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-s-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-s-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-h-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_gbs-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_fdr_bky PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_i-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_multipletests_empty[hs] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hommel-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-sh-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_n-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hs-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-b-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hommel-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hommel-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbh-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_gbs-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_i-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbky-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_null_constrained[True-True-False] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_n-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_floating_precision[h] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_n-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_floating_precision[sh] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_issorted[fdr_bh] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_i-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-sh-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hommel-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbky-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-sh-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-s-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_i-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-s-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-s-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_n-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.1] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-h-0.01] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-h-0.05] PASSED [ 8%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_tsbh-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-b-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-sh-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_gbs-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbky-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_floating_precision[fdr_tsbh] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hs-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-sh-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_tsbh-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-s-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-sh-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbh-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-h-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-h-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-h-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-s-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_i-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-sh-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_i-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_multipletests_empty[h] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbh-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbky-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbky-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_gbs-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-hs-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_i-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_gbs-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_n-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-sh-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hs-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hommel-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hommel-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-h-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_multipletests_empty[fdr_by] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_gbs-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-s-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-s-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_n-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-h-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-h-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_tsbh-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-sh-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_fdr_twostage PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_n-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_i-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_floating_precision[lfdr] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-sh-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hommel-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-sh-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_null_constrained[False-False-True] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hs-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-h-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-sh-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_gbs-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbky-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hs-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-b-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_n-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbh-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbh-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_n-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_issorted[fdr_by] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hommel-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-hommel-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_local_fdr PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_null_constrained[True-False-True] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_tsbky-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-h-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-s-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_gbs-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbky-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-sh-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-hs-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_floating_precision[ho] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_i-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hommel-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbh-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-s-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_issorted[b] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hs-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-b-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hs-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_n-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-b-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hs-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hs-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-sh-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_tsbky-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-s-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_i-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_gbs-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-s-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_i-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-h-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbh-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_gbs-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_fdrcorrection_invalid_method_raises PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_gbs-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbh-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_n-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hs-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-h-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-b-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-hommel-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-b-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_multipletests_empty[fdr_tsbky] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_issorted[h] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_tsbh-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_i-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_floating_precision[hs] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_n-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbky-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-h-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_n-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbh-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_n-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_n-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_null_distribution PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_n-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-b-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-b-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_i-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_multipletests_empty[sh] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_gbs-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_null_constrained[True-True-True] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_i-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_i-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hs-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_i-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_multipletests_empty[fdr_gbs] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-h-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbky-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-sh-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hs-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_floating_precision[s] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_gbs-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hs-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbky-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-hommel-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbh-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_floating_precision[fdr_bh] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-h-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_gbs-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-s-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_gbs-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-sh-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_issorted[fdr_tsbh] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-sh-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_floating_precision[fdr_tsbky] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-b-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-hs-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbky-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_n-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_issorted[sh] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbh-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hommel-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_gbs-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hommel-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_tukeyhsd PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_multipletests_empty[b] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_i-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-b-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-sh-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbky-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_floating_precision[fdr_gbs] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbh-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-s-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hommel-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hommel-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-h-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-hs-0.05] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-sh-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-b-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-sh-0.01] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-s-0.1] PASSED [ 9%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbky-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_tsbky-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hs-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-b-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-h-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-s-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_gbs-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_gbs-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-sh-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_multipletests_empty[lfdr] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbh-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_floating_precision[b] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_tsbky-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hommel-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-b-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_gbs-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_floating_precision[fdr_by] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_n-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbky-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_multipletests_empty[ho] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hommel-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbh-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbh-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hommel-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hommel-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-s-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-h-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hommel-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-h-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_gbs-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_i-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-sh-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbh-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbky-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-b-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-hs-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-sh-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-h-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_multipletests_empty[s] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_gbs-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-s-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-b-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_i-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_null_constrained[False-True-True] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_gbs-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_n-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbh-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hs-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_hommel PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbky-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-hommel-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_i-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-b-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_n-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_issorted[fdr_tsbky] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-s-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_i-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_n-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-b-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbky-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbh-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hs-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_i-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_issorted[ho] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_n-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-hommel-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_gbs-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_i-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-b-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-b-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hs-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-hommel-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_n-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbh-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_n-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-b-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_issorted[fdr_gbs] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-sh-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hs-0.01] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbky-0.05] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-s-0.1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 10%] statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 10%] statsmodels/tsa/statespace/tests/test_initialization.py::test_nested PASSED [ 10%] statsmodels/tsa/statespace/tests/test_initialization.py::test_global_approximate_diffuse PASSED [ 10%] statsmodels/tsa/statespace/tests/test_initialization.py::test_global_stationary PASSED [ 10%] statsmodels/tsa/statespace/tests/test_initialization.py::test_global_diffuse PASSED [ 10%] statsmodels/tsa/statespace/tests/test_initialization.py::test_invalid PASSED [ 10%] statsmodels/tsa/statespace/tests/test_initialization.py::test_mixed_basic PASSED [ 10%] statsmodels/tsa/statespace/tests/test_initialization.py::test_mixed_stationary PASSED [ 10%] statsmodels/tsa/statespace/tests/test_initialization.py::test_global_known PASSED [ 10%] statsmodels/tsa/statespace/tests/test_fixed_params.py::test_dynamic_factor_diag_error_cov PASSED [ 10%] statsmodels/tsa/statespace/tests/test_fixed_params.py::test_score_shape PASSED [ 10%] statsmodels/tsa/statespace/tests/test_fixed_params.py::test_mle_validate PASSED [ 10%] statsmodels/tsa/statespace/tests/test_fixed_params.py::test_fix_params PASSED [ 10%] statsmodels/tsa/statespace/tests/test_fixed_params.py::test_nested_fix_params PASSED [ 10%] statsmodels/tsa/statespace/tests/test_fixed_params.py::test_sarimax_nonconsecutive PASSED [ 10%] statsmodels/tsa/statespace/tests/test_fixed_params.py::test_results_append PASSED [ 10%] statsmodels/tsa/statespace/tests/test_fixed_params.py::test_structural_validate PASSED [ 10%] statsmodels/tsa/statespace/tests/test_fixed_params.py::test_sarimax_validate PASSED [ 10%] statsmodels/tsa/statespace/tests/test_fixed_params.py::test_structural PASSED [ 10%] statsmodels/tsa/statespace/tests/test_fixed_params.py::test_dynamic_factor_validate PASSED [ 10%] statsmodels/tsa/statespace/tests/test_fixed_params.py::test_results_extend PASSED [ 10%] statsmodels/tsa/statespace/tests/test_fixed_params.py::test_results_apply PASSED [ 10%] statsmodels/tsa/statespace/tests/test_fixed_params.py::test_varmax_validate PASSED [ 10%] statsmodels/iolib/tests/test_summary.py::test_escaped_variable_name PASSED [ 10%] statsmodels/iolib/tests/test_summary.py::test_wrong_len_xname PASSED [ 10%] statsmodels/iolib/tests/test_summary.py::test_summary_as_csv_and_as_html PASSED [ 10%] statsmodels/iolib/tests/test_summary.py::TestSummaryLatex::test__repr_latex_ PASSED [ 10%] statsmodels/stats/tests/test_tabledist.py::test_no_interp2d PASSED [ 10%] statsmodels/stats/tests/test_tabledist.py::test_tabledist PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_string PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_string_deprecated_alias_removed_after PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_int_like[2] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[dict] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[CustomDict] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_float_like[(1.2+0j)] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_dict_like_strict_mapping PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas[False] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like_error PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[(1.2+1j)] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_int_like[1.0] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas_append PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[not_integer6] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_bool_like[False] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_bool_like[] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[(2.3+0j)] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[(1+0j)] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_float_like[floating2] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[not_floating0] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_right_squeeze PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_bool_like[True] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[3.2] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas_append_non_string PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_float_like[floating3] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_bool_like[1] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[True] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[OrderedDict] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[not_integer1] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_int_like[integer2] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[apple] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_string_deprecated_alias PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_array_like_mindim PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas[True] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_int_like[integer3] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[(3+2j)] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_optional_string PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_float_like[1.0] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[3.2] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_bool_like[a] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_float_like[1.1] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_bool_like[1.2] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_not_bool_like PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[None] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[None] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_2d[True] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_slice[True] PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dot[False] XFAIL [ 10%] statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dtype PASSED [ 10%] statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_3d PASSED [ 11%] statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_right_squeeze_and_pad PASSED [ 11%] statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_2d[False] PASSED [ 11%] statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dot[True] XFAIL [ 11%] statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_1d[True] PASSED [ 11%] statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_none PASSED [ 11%] statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_slice[False] PASSED [ 11%] statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_contiguous PASSED [ 11%] statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_1d[False] PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_survdiff_entry_3 PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_simultaneous_cb PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_survfunc_entry_3 PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_incidence PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_kernel_survfunc2 PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_weights2 PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_survfunc_entry_2 PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_plot_km PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_kernel_survfunc3 PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_survdiff_entry_2 PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_survfunc1 PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_kernel_cumincidence1 PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_kernel_survfunc1 PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_survdiff PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_bmt PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_survdiff_basic PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_weights1 PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_survfunc2 PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_kernel_cumincidence2 PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_incidence2 PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_survdiff_entry_1 PASSED [ 11%] statsmodels/duration/tests/test_survfunc.py::test_survfunc_entry_1 PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_sdp_numbers[1-2] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_sdp_invalid_subplots PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_plot_pacf_irregular PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_sdp_numbers[7-1] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_plot_pacf_kwargs PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_sdp_numbers[2-2] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_sdp_numbers[12-7] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_plot_accf_grid PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_plot_acf_missing PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_sdp_numbers[7-2] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_sdp_numbers[1-1] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_sdp_numbers[2-12] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_sdp_numbers[2-1] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_sdp_numbers[12-12] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_sdp_numbers[12-1] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_plot_pacf_small_sample PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_plot_predict_passes_alpha_to_conf_int PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[0.1-False-model_and_args1] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[0.1-False-model_and_args0] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_sdp_numbers[7-7] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_plot_ccf PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[None-False-model_and_args0] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_plot_acf PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_sdp_labels PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_sdp_numbers[2-7] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_sdp_numbers[12-2] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_sdp_numbers[1-12] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[None-False-model_and_args1] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_sdp_numbers[1-7] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_plot_pacf PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[0.1-True-model_and_args1] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[None-True-model_and_args0] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_plot_pccf PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[0.1-True-model_and_args0] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[None-True-model_and_args1] PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_plot_pccf_irregular_lags PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_seasonal_diagnostic_plot PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_plot_quarter PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_seasonal_plot PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_plot_month XFAIL [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_plot_acf_irregular PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_plot_acf_kwargs PASSED [ 11%] statsmodels/graphics/tests/test_tsaplots.py::test_sdp_numbers[7-12] PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::test_bivariate_normal_class_construction PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::test_bivariate_normal_function_matches_scipy PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::test_expect_mc_estimates_normal_orthant_probability PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVT::test_marginal_preserves_df PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVT::test_cov_is_nan_for_df_leq_2 PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVT::test_logpdf_matches_scipy_multivariate_t PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVT::test_affine_transformed PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVT::test_rvs_covariance_matches_by_monte_carlo PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVT::test_cov_formula_for_df_greater_than_2 PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal0::test_rvs_shape PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal0::test_logpdf_matches_mvnormal PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal::test_std_and_corr_consistent_with_cov PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal::test_affine_transformed PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal::test_standardized_mean_is_zero XFAILainv), but affine_transformed computes mean_new = B @ mean + shift. With B=cholsigmainv and shift=-mean (unscaled), the result is cholsigmainv @ mean - mean, not zero. The instance *method* .standardize(x) is implemented correctly (it does whiten(x - mean), see test_whiten_standardize_relationship and test_manual_standardize_of_samples_has_zero_mean); only the *factory* .standardized(), which builds a new zero-mean MVNormal via the generic affine-transform path, has the bug. The correct shift would be -B @ self.mean.) [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal::test_cov_property_equals_sigma PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal::test_normalized2_mean_matches_normalized XFAILt to affine_transformed(shift, scale), which computes mean_new = scale @ mean + shift. That only cancels to zero when scale is the identity; here scale=diag(1/std_sigma), so the result is mean/std_sigma - mean, not zero. normalized() (a separate, non-affine implementation) gets this right by directly setting mean_new = zeros. The same shift-vs-scale bug affects .standardized(), see test_standardized_mean_is_zero below.) [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal::test_logpdf_matches_scipy PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal::test_rvs_moments_match_by_monte_carlo PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal::test_manual_standardize_of_samples_has_zero_mean PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal::test_normalized2_sigma_matches_normalized PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal::test_whiten_standardize_relationship PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal::test_conditional_matches_textbook_formula PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal::test_pdf_is_exp_logpdf PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal::test_normalized_not_demeaned PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal::test_logpdf_2d_input_matches_scipy_rowwise PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal::test_normalized_has_correlation_as_sigma_and_zero_mean PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal::test_cdf_matches_scipy SKIPPEDmvstdnormcdf -> mvndst, a compiled scipy.stats Fortran routine that was removed in SciPy >= 1.16.0 (see sandbox.distributions.tests.test_multivariate for the same issue against mvstdtprob/mvstdnormcdf directly).) [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal::test_standardized_has_identity_sigma PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormal::test_marginal PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormalConstruction::test_invalid_sigma_shape_raises PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormalConstruction::test_scalar_sigma_is_iid PASSED [ 11%] statsmodels/sandbox/distributions/tests/test_mv_normal.py::TestMVNormalConstruction::test_1d_sigma_is_diagonal PASSED [ 11%] statsmodels/multivariate/tests/test_ml_factor.py::test_2factor PASSED [ 11%] statsmodels/multivariate/tests/test_ml_factor.py::test_1factor PASSED [ 11%] statsmodels/multivariate/tests/test_ml_factor.py::test_score PASSED [ 11%] statsmodels/multivariate/tests/test_ml_factor.py::test_loglike PASSED [ 11%] statsmodels/multivariate/tests/test_ml_factor.py::test_exact PASSED [ 11%] statsmodels/multivariate/tests/test_ml_factor.py::test_em PASSED [ 11%] statsmodels/multivariate/tests/test_ml_factor.py::test_exact_em PASSED [ 11%] statsmodels/multivariate/tests/test_ml_factor.py::test_fit_ml_em_random_state PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_leave_one_label_out_does_not_mutate_input PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_leave_one_label_out_repr PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_kfold_partitions_all_indices_without_overlap PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_leave_one_out_repr PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_leave_one_label_out PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_kstepahead_repr PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_split_accepts_list_input PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_leave_one_out PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_kfold_k_equal_one_is_degenerate PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_kfold_fold_sizes_use_ceil_not_trunc PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_kstepahead_slice_mode_default_kall PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_leave_p_out PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_kstepahead_slice_mode_kall_false PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_split PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_leave_p_out_repr PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_kfold_repr PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_kfold_invalid_k_raises_assertion_error_not_value_error PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_split_single_array PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_kstepahead_boolean_mode_matches_slice_mode PASSED [ 11%] statsmodels/sandbox/tools/tests/test_cross_val.py::test_kstepahead_default_start_is_quarter_of_n PASSED [ 11%] statsmodels/compat/tests/test_scipy_compat.py::test_next_regular PASSED [ 11%] statsmodels/iolib/tests/test_foreign.py::test_savetxt_plain_array PASSED [ 11%] statsmodels/iolib/tests/test_foreign.py::test_savetxt_with_names PASSED [ 11%] statsmodels/iolib/tests/test_foreign.py::test_savetxt_structured_array_uses_field_names PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-False-True-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-False-False-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_invalid_fittedvalues_resid_predict PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate[True-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[True-False-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-False-False-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-True-True-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-True-False-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-True-True-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-True-True-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-False-True-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-True-True-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_low_memory_filter PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_fittedvalues_resid_predict[510] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate[False-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate[False-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-False-False-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-False-False-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[True-True-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[True-True-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-True-False-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-True-False-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-True-False-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-True-False-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate[True-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_fittedvalues_resid_predict[2] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[False-True-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[True-False-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[False-True-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-True-True-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_low_memory_fit PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[False-False-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-True-True-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-False-True-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-False-True-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-True-False-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-False-False-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-False-False-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-True-False-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-True-True-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-True-True-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_get_prediction_memory_conserve PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[False-False-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-False-True-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-False-True-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-False-True-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-False-True-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_fit PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-False-False-True] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-True-False-False] PASSED [ 11%] statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-False-False-True] PASSED [ 11%] statsmodels/stats/tests/test_mediation.py::test_mediation_fit_rng_types[int-boot] PASSED [ 11%] statsmodels/stats/tests/test_mediation.py::test_framing_example_moderator PASSED [ 11%] statsmodels/stats/tests/test_mediation.py::test_mediation_fit_rng_types[generator-boot] PASSED [ 11%] statsmodels/stats/tests/test_mediation.py::test_mediation_fit_rng_types[int-parametric] PASSED [ 11%] statsmodels/stats/tests/test_mediation.py::test_mediation_boot_rng_reproducible_and_varies PASSED [ 11%] statsmodels/stats/tests/test_mediation.py::test_mediation_fit_rng_types[randomstate-boot] PASSED [ 11%] statsmodels/stats/tests/test_mediation.py::test_mediation_fit_rng_types[none-boot] PASSED [ 11%] statsmodels/stats/tests/test_mediation.py::test_framing_example_moderator_formula PASSED [ 11%] statsmodels/stats/tests/test_mediation.py::test_framing_example PASSED [ 11%] statsmodels/stats/tests/test_mediation.py::test_mediation_fit_rng_types[generator-parametric] PASSED [ 11%] statsmodels/stats/tests/test_mediation.py::test_mediation_fit_rng_types[randomstate-parametric] PASSED [ 11%] statsmodels/stats/tests/test_mediation.py::test_mediation_fit_rng_types[none-parametric] PASSED [ 11%] statsmodels/stats/tests/test_mediation.py::test_framing_example_formula PASSED [ 11%] statsmodels/stats/tests/test_mediation.py::test_surv PASSED [ 11%] statsmodels/regression/tests/test_predict.py::TestWLSPrediction::test_glm PASSED [ 11%] statsmodels/regression/tests/test_predict.py::TestWLSPrediction::test_ci PASSED [ 11%] statsmodels/regression/tests/test_predict.py::test_predict_se PASSED [ 11%] statsmodels/regression/tests/test_predict.py::test_predict_remove_data PASSED [ 11%] statsmodels/regression/tests/test_predict.py::test_prediction_results_t_test PASSED [ 11%] statsmodels/regression/tests/test_predict.py::test_prediction_results_mean_conf_int_invalid_method PASSED [ 11%] statsmodels/regression/tests/test_predict.py::test_prediction_results_mean_var_pred_mean PASSED [ 11%] statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom7] PASSED [ 11%] statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mc2mnc] PASSED [ 11%] statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom6] PASSED [ 11%] statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mvsk2mnc] PASSED [ 11%] statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom4] PASSED [ 12%] statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom5] PASSED [ 12%] statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mvsk2mc] PASSED [ 12%] statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mnc2mc] PASSED [ 12%] statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom0] PASSED [ 12%] statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom1] PASSED [ 12%] statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom10] PASSED [ 12%] statsmodels/stats/tests/test_moment_helpers.py::test_multidimensional[test_vals0] PASSED [ 12%] statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom3] PASSED [ 12%] statsmodels/stats/tests/test_moment_helpers.py::test_mnc2mvsk_standard_normal PASSED [ 12%] statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mc2cum] PASSED [ 12%] statsmodels/stats/tests/test_moment_helpers.py::test_multidimensional[test_vals1] PASSED [ 12%] statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom2] PASSED [ 12%] statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mc2mvsk] PASSED [ 12%] statsmodels/stats/tests/test_moment_helpers.py::test_mnc2mvsk_exponential PASSED [ 12%] statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom8] PASSED [ 12%] statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom9] PASSED [ 12%] statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mnc2cum] PASSED [ 12%] statsmodels/stats/tests/test_moment_helpers.py::test_cov2corr PASSED [ 12%] statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[cum2mc] PASSED [ 12%] statsmodels/miscmodels/tests/test_poisson.py::test_predict_distribution_poisson_mle PASSED [ 12%] statsmodels/miscmodels/tests/test_poisson.py::TestPoissonMLE::test_cov_params PASSED [ 12%] statsmodels/miscmodels/tests/test_poisson.py::TestPoissonMLE::test_params PASSED [ 12%] statsmodels/miscmodels/tests/test_poisson.py::TestPoissonMLE::test_summary PASSED [ 12%] statsmodels/miscmodels/tests/test_poisson.py::TestPoissonMLE::test_df PASSED [ 12%] statsmodels/miscmodels/tests/test_poisson.py::TestPoissonMLE::test_ttest PASSED [ 12%] statsmodels/miscmodels/tests/test_poisson.py::TestPoissonZi::test_ttest PASSED [ 12%] statsmodels/miscmodels/tests/test_poisson.py::TestPoissonZi::test_exog_names_warning PASSED [ 12%] statsmodels/miscmodels/tests/test_poisson.py::TestPoissonZi::test_df PASSED [ 12%] statsmodels/miscmodels/tests/test_poisson.py::TestPoissonZi::test_params PASSED [ 12%] statsmodels/miscmodels/tests/test_poisson.py::TestPoissonZi::test_offset_array_like PASSED [ 12%] statsmodels/miscmodels/tests/test_poisson.py::TestPoissonZi::test_cov_params PASSED [ 12%] statsmodels/miscmodels/tests/test_poisson.py::TestPoissonZi::test_summary PASSED [ 12%] statsmodels/miscmodels/tests/test_poisson.py::TestPoissonOffset::test_params PASSED [ 12%] statsmodels/miscmodels/tests/test_poisson.py::TestPoissonOffset::test_ttest PASSED [ 12%] statsmodels/miscmodels/tests/test_poisson.py::TestPoissonOffset::test_df PASSED [ 12%] statsmodels/miscmodels/tests/test_poisson.py::TestPoissonOffset::test_cov_params PASSED [ 12%] statsmodels/miscmodels/tests/test_poisson.py::TestPoissonOffset::test_summary PASSED [ 12%] statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_ma_itsmr PASSED [ 12%] statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_fixed_params_ma PASSED [ 12%] statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_statespace_nonconsecutive PASSED [ 12%] statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_fixed_params_ar PASSED [ 12%] statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_fixed_params_statespace PASSED [ 12%] statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_fixed_params_both PASSED [ 12%] statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_misc PASSED [ 12%] statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_statespace PASSED [ 12%] statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_515 PASSED [ 12%] statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_fixed_params_invalid PASSED [ 12%] statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_statespace_seasonal PASSED [ 12%] statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_525 PASSED [ 12%] statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_invalid PASSED [ 12%] statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_fixed_params_no_fixed PASSED [ 12%] statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_524 PASSED [ 12%] statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_524_variance XFAIL [ 12%] statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_integrated PASSED [ 12%] statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_ma_invalid PASSED [ 12%] statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_541 PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::test_dfm PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMMixedMissing::test_posterior_mean PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMMixedMissing::test_posterior_cov PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestSARIMAXMEMissing::test_posterior_cov PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestSARIMAXMEMissing::test_posterior_mean PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMPartialMissing::test_posterior_mean PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMPartialMissing::test_posterior_cov PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMAllMissing::test_posterior_cov PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMAllMissing::test_posterior_mean PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARMEAllMissing::test_posterior_cov PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARMEAllMissing::test_posterior_mean PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARMEPartialMissing::test_posterior_cov PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARMEPartialMissing::test_posterior_mean PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFM::test_posterior_cov PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFM::test_posterior_mean PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARME::test_posterior_cov PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARME::test_posterior_mean PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMComplex::test_posterior_cov PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMComplex::test_posterior_mean PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestSARIMAXME::test_posterior_mean PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestSARIMAXME::test_posterior_cov PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestUnobservedComponentsMissing::test_posterior_cov PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestUnobservedComponentsMissing::test_posterior_mean PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestUnobservedComponents::test_posterior_cov PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestUnobservedComponents::test_posterior_mean PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARMEMixedMissing::test_posterior_mean PASSED [ 12%] statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARMEMixedMissing::test_posterior_cov PASSED [ 12%] statsmodels/graphics/tests/test_utils.py::test_import_mpl_stacklevel_names_grandcaller XFAIL [ 12%] statsmodels/graphics/tests/test_utils.py::test_import_mpl_error_names_calling_method XFAIL [ 12%] statsmodels/graphics/tests/test_utils.py::test_import_mpl_error_names_calling_function XFAIL [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::test_moments PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::test_uniform_hardcoded_constants_match_closed_form PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::test_kernel_var_shortcut_matches_numerical_integration[Triangular] PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::test_kernel_var_shortcut_matches_numerical_integration[Biweight] PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::test_customkernel_requires_callable_shape PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::test_l2norm_shortcut_matches_numerical_integration[Triangular] PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::test_l2norm_shortcut_matches_numerical_integration[Biweight] PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::test_kernel_var_shortcut_matches_numerical_integration[Gaussian] PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::test_customkernel_h_property PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::test_density_var_and_confint PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::test_call_is_alias_for_shape PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::test_l2norm_shortcut_matches_numerical_integration[Epanechnikov] PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::test_weight_is_normconst_times_shape PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::test_l2norm_shortcut_matches_numerical_integration[Gaussian] PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::test_normal_reference_constant_requires_second_order PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::test_kernel_var_shortcut_matches_numerical_integration[Epanechnikov] PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::test_uniform_shape_does_not_accept_scalar_input XFAILs x to be array-like (it calls x.shape), so it raises AttributeError for a plain scalar float input -- exactly what scipy.integrate.quad (used internally by the lazy L2Norm/kernel_var/norm_const properties) always passes. This is normally masked because Uniform.__init__ hardcodes _L2Norm, _kernel_var, and norm=1.0, so those lazy properties are never actually computed in practice -- but calling _shape directly with a scalar, as any generic CustomKernel-consuming code might reasonably do, fails.) [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::test_cosine2_matches_stata_definition_at_zero PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::TestInDomain::test_no_domain_returns_input_unchanged PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::TestInDomain::test_empty_result_when_nothing_in_domain PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::TestInDomain::test_filtered_result_should_be_ndarray_not_tuple XFAILs: `xs, ys = lzip(*filtered)` unzips a list of (x, y) pairs into two tuples-of- scalars. This happens whenever a domain is set and at least one point passes the filter (i.e., essentially always for realistic calls), not just when some points get excluded.) [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::TestInDomain::test_filters_points_outside_domain PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::TestNdKernel::test_density_with_weights XFAILs * weights) / sum(weights)`, but np.mean already divides by n, so this divides by n a second time via sum(weights) -- the correct weighted-mean formula is np.sum(kernel_vals * weights) / sum(weights) (no extra np.mean). For uniform weights=np.ones(n), sum(weights)==n, so the result is off from the correct (and from the unweighted-branch) answer by a factor of n.) [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::TestNdKernel::test_default_construction_uses_gaussian_and_identity_h PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::TestNdKernel::test_density_is_finite_and_matches_call PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::TestNdKernel::test_h_property_getter_setter PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::TestNdKernel::test_density_with_weights_matches_correct_weighted_mean_formula PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::TestNdKernel::test_density_returns_nan_for_empty_input PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::TestSmoothPlainFloatVsNumpyScalar::test_smooth_with_numpy_scalar_query_point_works PASSED [ 12%] statsmodels/sandbox/nonparametric/tests/test_kernels.py::TestSmoothPlainFloatVsNumpyScalar::test_smooth_with_plain_float_query_point_raises XFAIL scalar) triggers `TypeError: unsupported operand type(s) for -: 'tuple' and 'float'` inside smooth(), for any kernel with a bounded domain (Epanechnikov, Uniform, Triangular, Cosine, Cosine2, Tricube, Triweight -- everything except Gaussian, whose domain is None, and Biweight, which overrides smooth() with its own implementation that doesn't call in_domain's buggy path the same way).) [ 12%] statsmodels/stats/tests/test_lilliefors.py::test_get_lilliefors_errors PASSED [ 12%] statsmodels/stats/tests/test_lilliefors.py::test_ksstat PASSED [ 12%] statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_x_dims PASSED [ 12%] statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_normal PASSED [ 12%] statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_normal_table PASSED [ 12%] statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_pval_bounds PASSED [ 12%] statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_expon PASSED [ 12%] statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_min_nobs PASSED [ 12%] statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_large_sample PASSED [ 12%] statsmodels/emplike/tests/test_anova.py::test_anova_namedtuple PASSED [ 12%] statsmodels/emplike/tests/test_anova.py::test_anova PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_wald PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_names_wrapper PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_null_smoke PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_fitted PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_smooth PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_select_alpha PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_edf PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_params PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_predict PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPG::test_fitted PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPG::test_exog PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAM6Pirls::test_fitted PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAM6Bfgs0::test_fitted PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestTheilPLS5::test_cov_robust PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestTheilPLS5::test_null_smoke SKIPPED [ 12%] statsmodels/gam/tests/test_penalized.py::TestTheilPLS5::test_fitted PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestTheilPLS5::test_params PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAM6ExogPirls::test_fitted PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAM6ExogPirls::test_exog PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBS::test_crossval PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBS::test_null_smoke PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBS::test_params PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBS::test_smooth PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBS::test_predict PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBS::test_fitted PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBS::test_edf PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAM5Bfgs::test_fitted PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAM5Bfgs::test_predict PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAM5Bfgs::test_params PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAM5Bfgs::test_null_smoke PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAM5Pirls::test_fitted PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAM5Pirls::test_params PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAM5Pirls::test_null_smoke PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_null_smoke PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_wald PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_select_alpha PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_params PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_edf PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_smooth PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_predict PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_fitted PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGLMPenalizedPLS5::test_params PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGLMPenalizedPLS5::test_null_smoke PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGLMPenalizedPLS5::test_fitted PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAM6ExogBfgs::test_exog PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAM6ExogBfgs::test_fitted PASSED [ 12%] statsmodels/gam/tests/test_penalized.py::TestGAM6Bfgs::test_fitted PASSED [ 12%] statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_pandas_univariate_dateindex PASSED [ 12%] statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_time_varying_in_sample PASSED [ 12%] statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_pandas_univariate_rangeindex PASSED [ 12%] statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_time_varying_out_of_sample_anchored PASSED [ 12%] statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_sarimax PASSED [ 12%] statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_dynamic_factor PASSED [ 12%] statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_time_varying_ssm PASSED [ 12%] statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_structural PASSED [ 12%] statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_pandas_multivariate_rangeindex PASSED [ 12%] statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_pandas_anchor PASSED [ 12%] statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_time_varying_out_of_sample PASSED [ 12%] statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_time_varying_out_of_sample_anchored_end PASSED [ 12%] statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_time_varying_in_sample_anchored PASSED [ 12%] statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_varmax PASSED [ 12%] statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_pandas_multivariate_dateindex PASSED [ 12%] statsmodels/tests/test_deprecated_estimators.py::test_tsadescriptive_deprecated PASSED [ 12%] statsmodels/tests/test_deprecated_estimators.py::test_glshet_deprecated PASSED [ 12%] statsmodels/tests/test_deprecated_estimators.py::test_tsmlemodel_deprecated PASSED [ 12%] statsmodels/tests/test_deprecated_estimators.py::test_var_deprecated PASSED [ 12%] statsmodels/tests/test_deprecated_estimators.py::test_smoothers_lowess_old_deprecated PASSED [ 12%] statsmodels/tests/test_deprecated_estimators.py::test_glshet2_deprecated PASSED [ 12%] statsmodels/tests/test_deprecated_estimators.py::test_nonlinearls_deprecated PASSED [ 12%] statsmodels/tests/test_deprecated_estimators.py::test_mlegls_deprecated PASSED [ 12%] statsmodels/tools/tests/test_linalg.py::test_stationary_solve_2d PASSED [ 12%] statsmodels/tools/tests/test_linalg.py::test_stationary_solve_1d PASSED [ 12%] statsmodels/multivariate/tests/test_multivariate_ols.py::test_affine_hypothesis[_MultivariateOLS] PASSED [ 12%] statsmodels/multivariate/tests/test_multivariate_ols.py::test_exog_1D_array[_MultivariateOLS] PASSED [ 12%] statsmodels/multivariate/tests/test_multivariate_ols.py::test_invalid_fit_method_raises[_MultivariateOLS] PASSED [ 12%] statsmodels/multivariate/tests/test_multivariate_ols.py::test_L_M_matrices_1D_array[MultivariateLS] PASSED [ 12%] statsmodels/multivariate/tests/test_multivariate_ols.py::test_specify_L_M_by_string[_MultivariateOLS] PASSED [ 12%] statsmodels/multivariate/tests/test_multivariate_ols.py::test_independent_variable_singular[MultivariateLS] PASSED [ 12%] statsmodels/multivariate/tests/test_multivariate_ols.py::test_affine_hypothesis[MultivariateLS] PASSED [ 12%] statsmodels/multivariate/tests/test_multivariate_ols.py::test_from_formula_vs_no_formula[MultivariateLS] PASSED [ 12%] statsmodels/multivariate/tests/test_multivariate_ols.py::test_glm_dogs_example[MultivariateLS] PASSED [ 12%] statsmodels/multivariate/tests/test_multivariate_ols.py::test_glm_dogs_example[_MultivariateOLS] PASSED [ 12%] statsmodels/multivariate/tests/test_multivariate_ols.py::test_invalid_fit_method_raises[MultivariateLS] PASSED [ 12%] statsmodels/multivariate/tests/test_multivariate_ols.py::test_L_M_matrices_1D_array[_MultivariateOLS] PASSED [ 12%] statsmodels/multivariate/tests/test_multivariate_ols.py::test_independent_variable_singular[_MultivariateOLS] PASSED [ 12%] statsmodels/multivariate/tests/test_multivariate_ols.py::test_exog_1D_array[MultivariateLS] PASSED [ 12%] statsmodels/multivariate/tests/test_multivariate_ols.py::test_specify_L_M_by_string[MultivariateLS] PASSED [ 13%] statsmodels/multivariate/tests/test_multivariate_ols.py::test_from_formula_vs_no_formula[_MultivariateOLS] PASSED [ 13%] statsmodels/multivariate/tests/test_multivariate_ols.py::test_endog_1D_array PASSED [ 13%] statsmodels/multivariate/tests/test_multivariate_ols.py::test_multivariate_ls_results_summary PASSED [ 13%] statsmodels/multivariate/tests/test_multivariate_ols.py::test_resid_distance_and_hat_matrix_diag PASSED [ 13%] statsmodels/multivariate/tests/test_multivariate_ols.py::TestMultivariateLS::test_ols PASSED [ 13%] statsmodels/multivariate/tests/test_multivariate_ols.py::TestMultivariateLS::test_basic PASSED [ 13%] statsmodels/stats/tests/test_anova.py::test_anova_lm_model_order_correct PASSED [ 13%] statsmodels/stats/tests/test_anova.py::test_anova_lm_model_order_error PASSED [ 13%] statsmodels/stats/tests/test_anova.py::TestAnova3HC2::test_results PASSED [ 13%] statsmodels/stats/tests/test_anova.py::TestAnova2Noconstant::test_results PASSED [ 13%] statsmodels/stats/tests/test_anova.py::TestAnova2HC1::test_results PASSED [ 13%] statsmodels/stats/tests/test_anova.py::TestAnovaLMCompareNoconstant::test_results PASSED [ 13%] statsmodels/stats/tests/test_anova.py::TestAnova2HC0::test_results PASSED [ 13%] statsmodels/stats/tests/test_anova.py::TestAnovaLM::test_results PASSED [ 13%] statsmodels/stats/tests/test_anova.py::TestAnova3HC3::test_results PASSED [ 13%] statsmodels/stats/tests/test_anova.py::TestAnova3HC1::test_results PASSED [ 13%] statsmodels/stats/tests/test_anova.py::TestAnova2::test_results PASSED [ 13%] statsmodels/stats/tests/test_anova.py::TestAnovaLMCompare::test_results PASSED [ 13%] statsmodels/stats/tests/test_anova.py::TestAnova2HC2::test_results PASSED [ 13%] statsmodels/stats/tests/test_anova.py::TestAnova2HC3::test_results PASSED [ 13%] statsmodels/stats/tests/test_anova.py::TestAnovaLMNoconstant::test_results PASSED [ 13%] statsmodels/stats/tests/test_anova.py::TestAnova3::test_results PASSED [ 13%] statsmodels/stats/tests/test_anova.py::TestAnova3HC0::test_results PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::test_polysmoother_call_is_alias_for_predict PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::test_polysmoother_fit_requires_x_if_never_set PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::test_polysmoother_predict_2d_x_uses_first_column PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::test_polysmoother_predict_with_no_argument_uses_stored_x PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::test_polysmoother_2d_x_in_init_uses_first_row PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::test_polysmoother_fit_2d_x_is_broken XFAILr actually reduces x to 1d (the fix is present but commented out: `# x=x[0,:] # TODO: check orientation, row or col`), unlike the equivalent branches in __init__ and predict() which do perform the reduction (x = x[0, :] / x[:, 0] respectively). Calling fit() with 2d x therefore builds a malformed higher-dimensional self.X and raises LinAlgError from np.linalg.lstsq instead of fitting against one column of x.) [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::test_polysmoother_gram_is_noop PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::test_polysmoother_fit_weights_none_matches_all_nan PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_df PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_predict PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_coef PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_coef PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_df PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_predict PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestKernelSmoother::test_fit_is_a_noop PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestKernelSmoother::test_predict_with_non_gaussian_kernel XFAILdocuments accepting any Kernel object via its `Kernel` parameter, but non-Gaussian kernels (e.g., Epanechnikov, Uniform) raise `TypeError: unsupported operand type(s) for -: 'tuple' and 'float'` inside Kernel.smooth() even with default construction (no unusual arguments). Only the default Gaussian kernel currently works. See sandbox.nonparametric.tests.test_kernels for the root-cause investigation.) [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestKernelSmoother::test_predicted_curve_recovers_quadratic_shape PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestKernelSmoother::test_std_is_sqrt_of_var PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestKernelSmoother::test_call_matches_predict PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestKernelSmoother::test_predict_scalar_matches_kernel_smooth PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestKernelSmoother::test_predict_array_matches_elementwise_scalar_predict PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestKernelSmoother::test_conf_with_array PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestKernelSmoother::test_default_kernel_is_gaussian PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestKernelSmoother::test_conf_with_int_subsamples_sorted_x PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_predict PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_coef PASSED [ 13%] statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_df PASSED [ 13%] statsmodels/stats/tests/test_sandwich.py::test_cov_cluster_2groups PASSED [ 13%] statsmodels/stats/tests/test_sandwich.py::test_hac_simple PASSED [ 13%] statsmodels/stats/tests/test_sandwich.py::test_cov_hc0_to_hc3_match_results_attributes PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_info_criteria_invalid_raises PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_numpy_endog PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_score_misc PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_fit_attrs_in_dir[mle_retvals] PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_filter PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_small_sample_serial_correlation_test PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_states_index_int64index PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_from_formula PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_forecast PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_prediction_results PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_diagnostics_nile_eviews PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_transform PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_diagnostics_nile_durbinkoopman PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_states_index_dateindex PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_invalid_kwargs PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_pandas_endog PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_fit_misc PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_lutkepohl_information_criteria PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_init_matrices_time_varying PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_get_prediction_invalid_information_set_raises PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_fit_attrs_in_dir[mlefit] PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_diagnostics PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_set_inversion_method_and_initialization_property PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_predict PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_cov_params PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_integer_params PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_results PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_params PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_states_index_periodindex PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_score_hessian_invalid_method_raises PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_append_extend_apply_invalid PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_score_analytic_ar1 PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_summary PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_init_matrices_time_invariant PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_fit_attrs_in_dir[mle_settings] PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_wrapping PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_get_smoothed_decomposition_invalid_raises PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_states_index_rangeindex PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_basic_endog PASSED [ 13%] statsmodels/tsa/statespace/tests/test_mlemodel.py::test_summary_after_remove_data PASSED [ 13%] statsmodels/tools/tests/test_rng_qrng.py::test_int_returns_generator_by_default PASSED [ 13%] statsmodels/tools/tests/test_rng_qrng.py::test_none_returns_fresh_generator PASSED [ 13%] statsmodels/tools/tests/test_rng_qrng.py::test_non_integer_array_raises PASSED [ 13%] statsmodels/tools/tests/test_rng_qrng.py::test_array_like_int_seed PASSED [ 13%] statsmodels/tools/tests/test_rng_qrng.py::test_generator_instance_passthrough PASSED [ 13%] statsmodels/tools/tests/test_rng_qrng.py::test_deprecated_int_warns_and_returns_randomstate PASSED [ 13%] statsmodels/tools/tests/test_rng_qrng.py::test_deprecated_none_does_not_warn_and_returns_generator PASSED [ 13%] statsmodels/tools/tests/test_rng_qrng.py::test_deprecated_int_warn_false_suppresses_warning PASSED [ 13%] statsmodels/tools/tests/test_rng_qrng.py::test_qmc_engine_passthrough PASSED [ 13%] statsmodels/tools/tests/test_rng_qrng.py::test_randomstate_instance_passthrough PASSED [ 13%] statsmodels/tools/tests/test_rng_qrng.py::test_deprecated_instance_passthrough_does_not_warn PASSED [ 13%] statsmodels/tools/tests/test_rng_qrng.py::test_int_reproducible PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::test_durbin_watson PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::test_adnorm PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::test_durbin_watson_pandas PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::test_jarque_bera PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::test_omni_normtest_axis PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::test_shapiro PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::test_omni_normtest PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_kurtosis PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_no_axis PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_kurtosis_dg PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_kurtosis_ab PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_skewness_symmetric PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_kurtosis_excess_false PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_durbin_watson PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_nan_propagation PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_symmetry PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_axis_consistency PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_ties PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_even_hcount_regression PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_skewness_3d PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_short_input PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_large_random PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_kurtosis_3d PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_skewness_1d PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_skewness_4 PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_int PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_symmetric PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_1d PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_skewness_1d_2d PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_nonzero PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_r_reference_majority_tied PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_kurtosis_1d_2d PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_durbin_watson_2d PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_durbin_watson_3d PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_r_reference_ties PASSED [ 13%] statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_consistency_fast_vs_legacy PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_bse PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_fit_regularized PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_bic PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_aic PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_llf PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_conf_int PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_params PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::test_truncated_negative_binomial_dispersion_factor PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::test_summary_after_remove_data[TruncatedLFPoisson] PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::test_truncated_poisson_dispersion_factor PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::test_summary_after_remove_data[HurdleCountModel] PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::test_summary_after_remove_data[TruncatedLFNegativeBinomialP] PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::test_fit_regularized_converged_reports_joint_fit_too PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[poisson-poisson] PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[poisson-negbin] PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::test_fit_start_params_wrong_size_raises_clear_error PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-negbin] PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-poisson] PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdleL1::test_conf_int <- discrete/tests/test_discrete.py PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdleL1::test_bse <- discrete/tests/test_discrete.py PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdleL1::test_params <- discrete/tests/test_discrete.py PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdleL1::test_bse_agrees_with_trimmed PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdleL1::test_bic <- discrete/tests/test_discrete.py PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdleL1::test_aic <- discrete/tests/test_discrete.py PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdleL1::test_nnz_params <- discrete/tests/test_discrete.py PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdleL1Compatibility::test_params PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdleL1Compatibility::test_df <- discrete/tests/test_discrete.py PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdleL1Compatibility::test_bad_r_matrix <- discrete/tests/test_discrete.py PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdleL1Compatibility::test_f_test PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdleL1Compatibility::test_cov_params PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdleL1Compatibility::test_t_test PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestRegularizedHurdleSimulated::test_predict PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestRegularizedHurdleSimulated::test_bse_agrees_with_trimmed PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestRegularizedHurdleSimulated::test_basic PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestRegularizedHurdleSimulated::test_score_consistency PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestRegularizedHurdleSimulated::test_score_numerical PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestRegularizedHurdleSimulated::test_hessian_numerical PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoisson1St::test_predict PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoisson1St::test_basic PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedNegBin1St::test_predict PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedNegBin1St::test_basic PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdlePoissonR::test_predict PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdlePoissonR::test_basic PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedLFPoissonModel::test_conf_int PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedLFPoissonModel::test_llf PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedLFPoissonModel::test_aic PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedLFPoissonModel::test_bic PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedLFPoissonModel::test_params PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedLFPoissonModel::test_bse PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedLFPoissonModel::test_fit_regularized PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonModel::test_params PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonModel::test_conf_int PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonModel::test_fit_regularized XFAIL [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonModel::test_llf PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonModel::test_aic PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonModel::test_bic PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonModel::test_bse PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoisson_predict::test_mean PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoisson_predict::test_predict_prob PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoisson_predict::test_var PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedNBP_predict::test_var PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedNBP_predict::test_predict_prob PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedNBP_predict::test_mean PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonSt::test_basic PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonSt::test_offset PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonSt::test_predict PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdleNegbinSimulated::test_score_consistency PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdleNegbinSimulated::test_score_numerical PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdleNegbinSimulated::test_predict PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdleNegbinSimulated::test_hessian_numerical PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestHurdleNegbinSimulated::test_basic PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedNegBinSt::test_basic PASSED [ 13%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedNegBinSt::test_offset PASSED [ 14%] statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedNegBinSt::test_predict PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_pandas PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_logodds_pooled PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_oddsratio_pooled_confint PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_oddsratio_pooled PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_logodds_pooled_confint PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_equal_odds PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_null_odds PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_from_data PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::test_cochrans_q_return_object_deprecated PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::test_local_odds PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::test_ordinal_association PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::test_mcnemar PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::test_symmetry PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::test_homogeneity PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::test_stratified_table_cube PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::test_from_data_stratified PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::test_SquareTable_from_data PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::test_SquareTable_nonsquare PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::test_shifting PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::test_cumulative_odds PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::test_from_data_2x2 PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::test_chi2_association PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::test_cochranq PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::test_resids PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::test_mcnemar_non_2x2 PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio_confint PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_summary PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio_pvalue PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio_confint PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio_se PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_oddsratio PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio_pvalue PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio_confint PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_from_data PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_oddsratio_se PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_logodds_pooled PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_oddsratio_pooled PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_null_odds PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_equal_odds PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_from_data PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_pandas PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_oddsratio_pooled_confint PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_logodds_pooled_confint PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_logodds_pooled PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_equal_odds PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_pandas PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_null_odds PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_from_data PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_oddsratio_pooled_confint PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_logodds_pooled_confint PASSED [ 14%] statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_oddsratio_pooled PASSED [ 14%] statsmodels/graphics/tests/test_agreement.py::test_mean_diff_plot PASSED [ 14%] statsmodels/graphics/tests/test_agreement.py::test_mean_diff_plot_linestyles PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_stationary_summary PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_ex_covsolve PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_unstructured_incomplete PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_plots PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_missing PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_global_odds_ratio_summary PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_qic_warnings PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_stationary_covsolve PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_regularized_gaussian PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_ql_known[Poisson] PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_ql_diff[Gaussian] PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_quasipoisson[False] PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_ar_covsolve PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_grid_ar PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_ql_known[Gaussian] PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_unstructured_complete PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_gee_results_resid_split PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_independence_covariance_matrix_and_summary PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_exchangeable_covariance_matrix_and_summary PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_autoregressive_covariance_matrix_and_summary PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_regularized_poisson PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_ql_diff[Poisson] PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_quasipoisson[True] PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_ql_diff[Binomial] PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::test_unstructured_summary PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEEPoissonCovType::test_cov_type PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEEPoissonCovType::test_wrapper PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_poisson PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_predict_exposure PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[False-True] PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_post_estimation PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_nominal_independence PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_score_test_warnings PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_formula_environment PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_weighted PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_equivalence_from_pairs PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_groups PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_stationary_grid PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[False-False] PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[True-False] PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_logistic PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_sensitivity PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_OLS PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_constraint_covtype PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_missing_formula PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_formulas PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_poisson PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_autoregressive PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[True-True] PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_score_test[Independence] PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_gaussian PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_missing PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_default_time PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_ordinal PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_nested_pandas PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_logistic PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_nominal PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_stationary_nogrid PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_equivalence PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_ordinal_formula PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_ordinal_independence PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_multinomial_input_type[str] PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_gaussian_lists_tuples PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_poisson_epil PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_predict_exposure_lists PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_ordinal_plot PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_nominal_plot PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_nested_linear PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_linear PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_poisson PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_linear_constrained PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_offset_formula PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_score_test[Exchangeable] PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_logit PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_multinomial_input_type[int] PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_multinomial PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_summary_after_remove_data PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_scoretest PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEE::test_predict PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEEOrdinalCovType::test_cov_type PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEEOrdinalCovType::test_wrapper PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEEPoissonFormulaCovType::test_cov_type PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEEMultinomialCovType::test_wrapper PASSED [ 14%] statsmodels/genmod/tests/test_gee.py::TestGEEMultinomialCovType::test_cov_type PASSED [ 14%] statsmodels/gam/tests/test_smooth_basis.py::test_get_knots_bsplines_spacing_equal_few_inner_knots[4-2-1] PASSED [ 14%] statsmodels/gam/tests/test_smooth_basis.py::test_get_knots_bsplines_spacing_equal_few_inner_knots[3-2-0] PASSED [ 14%] statsmodels/gam/tests/test_smooth_basis.py::test_univariate_polynomial_smoother PASSED [ 14%] statsmodels/gam/tests/test_smooth_basis.py::test_multivariate_polynomial_basis PASSED [ 14%] statsmodels/gam/tests/test_smooth_basis.py::test_get_knots_bsplines_spacing_equal_few_inner_knots[5-3-1] PASSED [ 14%] statsmodels/gam/tests/test_smooth_basis.py::test_cubic_splines_transform_not_shadowed PASSED [ 14%] statsmodels/gam/tests/test_smooth_basis.py::test_get_knots_bsplines_spacing_equal_few_inner_knots[4-3-0] PASSED [ 14%] statsmodels/gam/tests/test_smooth_basis.py::test_bsplines[x1-6-3] PASSED [ 14%] statsmodels/gam/tests/test_smooth_basis.py::test_get_knots_bsplines_spacing_equal_unchanged_for_multiple_inner_knots PASSED [ 14%] statsmodels/gam/tests/test_smooth_basis.py::test_bsplines[x0-df0-degree0] PASSED [ 14%] statsmodels/gam/tests/test_smooth_basis.py::test_get_knots_bsplines_spacing PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrained::test_params PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrained::test_resid PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrained::test_se PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrainedHC::test_params PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrainedHC::test_resid PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrainedHC::test_se PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrained::test_resid PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrained::test_se PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrained::test_params PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_glm_attr PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_params PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_resid PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_wald PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_se PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffset::test_params PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffset::test_se PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffset::test_resid PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_params PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_glm_attr PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_se PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_resid PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_wald PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffsetHC::test_resid PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffsetHC::test_params PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffsetHC::test_se PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrainedHC::test_se PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrainedHC::test_resid PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrainedHC::test_params PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffset::test_se PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffset::test_resid PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffset::test_params PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffsetHC::test_params PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffsetHC::test_se PASSED [ 14%] statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffsetHC::test_resid PASSED [ 14%] statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_pandas_dates_daily PASSED [ 14%] statsmodels/tsa/base/tests/test_tsa_indexes.py::test_nonmonotonic_periodindex PASSED [ 14%] statsmodels/tsa/base/tests/test_tsa_indexes.py::test_nonfull_periodindex PASSED [ 14%] statsmodels/tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid PASSED [ 14%] statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_nonpandas PASSED [ 14%] statsmodels/tsa/base/tests/test_tsa_indexes.py::test_range_index PASSED [ 14%] statsmodels/tsa/base/tests/test_tsa_indexes.py::test_custom_index PASSED [ 14%] statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_unsupported PASSED [ 14%] statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_pandas_noindex PASSED [ 14%] statsmodels/tsa/base/tests/test_tsa_indexes.py::test_get_index_loc_quarterly PASSED [ 14%] statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_pandas_dates_nanosecond PASSED [ 14%] statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_rangeindex_withstep PASSED [ 14%] statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_rangeindex PASSED [ 14%] statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_pandas_dates_monthly PASSED [ 14%] statsmodels/graphics/tests/test_correlation.py::test_plot_corr_grid PASSED [ 14%] statsmodels/graphics/tests/test_correlation.py::test_plot_corr PASSED [ 14%] statsmodels/base/tests/test_penalties.py::TestNonePenalty::test_symmetry PASSED [ 14%] statsmodels/base/tests/test_penalties.py::TestNonePenalty::test_derivatives PASSED [ 14%] statsmodels/base/tests/test_penalties.py::TestSmoothedSCAD::test_derivatives PASSED [ 14%] statsmodels/base/tests/test_penalties.py::TestSmoothedSCAD::test_symmetry PASSED [ 14%] statsmodels/base/tests/test_penalties.py::TestL2Constraints1::test_symmetry PASSED [ 14%] statsmodels/base/tests/test_penalties.py::TestL2Constraints1::test_derivatives PASSED [ 14%] statsmodels/base/tests/test_penalties.py::TestL2Constraints1::test_values PASSED [ 14%] statsmodels/base/tests/test_penalties.py::TestPseudoHuber::test_weights_assignment PASSED [ 14%] statsmodels/base/tests/test_penalties.py::TestPseudoHuber::test_derivatives PASSED [ 14%] statsmodels/base/tests/test_penalties.py::TestPseudoHuber::test_backward_compatibility PASSED [ 14%] statsmodels/base/tests/test_penalties.py::TestPseudoHuber::test_symmetry PASSED [ 15%] statsmodels/base/tests/test_penalties.py::TestPseudoHuber::test_deprecated_priority PASSED [ 15%] statsmodels/base/tests/test_penalties.py::TestL2::test_symmetry PASSED [ 15%] statsmodels/base/tests/test_penalties.py::TestL2::test_derivatives PASSED [ 15%] statsmodels/base/tests/test_penalties.py::TestL2::test_deprecated_priority PASSED [ 15%] statsmodels/base/tests/test_penalties.py::TestL2::test_backward_compatibility PASSED [ 15%] statsmodels/base/tests/test_penalties.py::TestL2::test_weights_assignment PASSED [ 15%] statsmodels/base/tests/test_penalties.py::TestL2Constraints0::test_symmetry PASSED [ 15%] statsmodels/base/tests/test_penalties.py::TestL2Constraints0::test_equivalence PASSED [ 15%] statsmodels/base/tests/test_penalties.py::TestL2Constraints0::test_derivatives PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_invariant[True-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[exog-True-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_dynamic_factor_time_varying[False-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[exog-False-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[-2-True-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_dynamic_factor_time_varying[False-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[True-False-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[trend-True-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_start_end_dates[False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_invariant[False-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_start_end_dates[True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[trend-True-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[-2-False-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[exog-False-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[trend-False-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_defaults[False-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_start_end_int[numpy] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_start_end_int[range] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_dynamic_factor_time_varying[True-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_mixed_revisions[-1] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[True-True-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_start_end_int[int64] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_invariant[True-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_start_end_int[list] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[trend-False-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[True-True-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_start_end_int[range2] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_defaults[True-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_unobserved_components_time_varying[False-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[-2-False-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[-2-True-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[False-False-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[trend-False-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[trend-True-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[exog-True-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_defaults[False-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_dynamic_factor_time_varying[True-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[False-False-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_detailed_revisions[True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[exog-True-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[exog-False-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[False-True-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_invalid_comparison_type PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_unobserved_components_time_varying[True-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[False-True-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[trend-False-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[trend-True-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_news_summary_methods PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[True-False-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_defaults[True-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_invalid PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_unobserved_components_time_varying[False-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_detailed_revisions[200] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[exog-False-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_detailed_revisions[-10] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_grouped_revisions[False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_mixed_revisions[201] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_grouped_revisions[202] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_comparison_types PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_invariant[False-False] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_unobserved_components_time_varying[True-True] PASSED [ 15%] statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[exog-True-False] PASSED [ 15%] statsmodels/base/tests/test_screening.py::test_logit_screening PASSED [ 15%] statsmodels/base/tests/test_screening.py::test_screen_iterated PASSED [ 15%] statsmodels/base/tests/test_screening.py::test_poisson_screening PASSED [ 15%] statsmodels/base/tests/test_screening.py::test_glmlogit_screening PASSED [ 15%] statsmodels/base/tests/test_screening.py::test_glmpoisson_screening PASSED [ 15%] statsmodels/base/tests/test_screening.py::test_glmgaussian_screening PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_gq PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-False-fitted-2] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_lm_test_result_object[acorr_lm] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_linear_lm_direct PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[order_by2-0.5] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-True-princomp-2] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_spec_white PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_het_goldfeldquandt_alternative_deprecated_alias[2-two-sided] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-True-princomp-3] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_encompasing_direct[nonrobust] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-False-fitted-3] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-False-princomp-2] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-True-fitted-2] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-False-exog-2] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_use_distance_order_invariant_discrete PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[None-0.5] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-True-fitted-3] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-False-exog-3] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_het_goldfeldquandt_result_object PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_het_goldfeldquandt_alternative_deprecated_alias[d-decreasing] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_acorr_lm_smoke[cov0-0-False] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-False-princomp-3] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_use_distance_order_invariant[False] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_center_deprecated[0.33] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_influence_dtype PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_het_goldfeldquandt_alternative_deprecated_alias[i-increasing] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[x0-0.5] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_use_distance_matches_manual_ordering PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_outlier_test PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_influence_wrapped PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_small_skip PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_acorr_lm_smoke[cov0-0-True] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[x0-0.75] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_outlier_influence_funcs PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_spec_white_error PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-True-exog-2] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_ljungbox_dof_adj PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[x0-0.25] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_encompasing_error PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-True-exog-3] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_acorr_lm_smoke_no_autolag PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_acorr_lm_smoke[cov0-2-False] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_acorr_lm_smoke[cov1-0-True] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[None-0.75] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[order_by4-0.25] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-True-fitted-2] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-False-fitted-2] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[order_by4-0.75] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[None-0.25] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[order_by1-0.5] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-False-exog-3] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_compare_result_object_default_warns PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_acorr_lm_smoke[cov1-2-False] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-False-exog-2] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_encompasing_direct[HC0] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_ljungbox_errors_warnings PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-False-fitted-3] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-True-fitted-3] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_lm_test_result_object[acorr_breusch_godfrey] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_lm_test_result_object[het_arch] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_ljungbox_auto_lag_selection PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_use_distance_order_invariant[True] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_diagnostics_hac PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[order_by1-0.25] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_acorr_lm_smoke[cov1-0-False] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[order_by1-0.75] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[order_by4-0.5] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-True-princomp-2] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[order_by2-0.25] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_exception PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[order_by2-0.75] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_rainbow_center_deprecated[300] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_acorr_lm_smoke[cov1-2-True] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_ljungbox_period PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-False-princomp-3] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_diagnostics_pandas PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-True-exog-3] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-False-princomp-2] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-True-exog-2] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-True-princomp-3] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_ljungbox_auto_lag_whitenoise PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_compare_result_object_true PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::test_acorr_lm_smoke[cov0-2-True] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_j PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_rainbow PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_error[compare_j] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_hac PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_cox PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_white PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_ljung_box_big_default PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_basic PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_white_error PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_error[compare_cox] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_pesaran_timmermann_invalid[actual1-predicted1-kwargs1-at least 2 values] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_pesaran_timmermann_invalid[actual2-predicted2-kwargs2-finite] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_breusch_godfrey_exogs PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_breusch_godfrey PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_pesaran_timmermann_store PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_arch PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_cusum_ols PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_pesaran_timmermann_invalid[actual3-predicted3-kwargs3-variance is non-positive] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_goldfeldquandt PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_ljung_box_small_default PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_breusch_godfrey_multidim PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_ljung_box_against_r PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_normality PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_breusch_pagan PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_influence PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_recursive_residuals PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_pesaran_timmermann_manual_formula PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_breusch_pagan_nonrobust PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_harvey_collier PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_pesaran_timmermann_reference PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_lr PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_ljung_box PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_breusch_pagan_1d_err PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_nested[compare_j] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_arch2 PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_breaks_hansen PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_pesaran_timmermann_invalid[actual0-predicted0-kwargs0-same length] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_nested[compare_cox] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_pesaran_timmermann_invalid[actual4-predicted4-kwargs4-alternative] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_white_no_interaction_terms PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_recursive_residuals PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_ljung_box PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_pesaran_timmermann_invalid[actual4-predicted4-kwargs4-alternative] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_pesaran_timmermann_invalid[actual0-predicted0-kwargs0-same length] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_cox PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_pesaran_timmermann_store PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_arch2 PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_ljung_box_big_default PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_harvey_collier PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_pesaran_timmermann_invalid[actual1-predicted1-kwargs1-at least 2 values] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_cusum_ols PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_arch PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_pesaran_timmermann_invalid[actual2-predicted2-kwargs2-finite] PASSED [ 15%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_rainbow PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_breusch_pagan PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_error[compare_j] PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_pesaran_timmermann_reference PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_normality PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_influence PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_breusch_godfrey PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_goldfeldquandt PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_breusch_godfrey_exogs PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_pesaran_timmermann_invalid[actual3-predicted3-kwargs3-variance is non-positive] PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_lr PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_ljung_box_against_r PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_hac PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_breusch_pagan_1d_err PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_breusch_godfrey_multidim PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_pesaran_timmermann_manual_formula PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_breusch_pagan_nonrobust PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_j PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_error[compare_cox] PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_basic PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_white_no_interaction_terms PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_nested[compare_cox] PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_white PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_breaks_hansen PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_nested[compare_j] PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_white_error PASSED [ 16%] statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_ljung_box_small_default PASSED [ 16%] statsmodels/distributions/tests/test_tools.py::test_average_grid PASSED [ 16%] statsmodels/distributions/tests/test_tools.py::test_bernstein_1d PASSED [ 16%] statsmodels/distributions/tests/test_tools.py::test_bernstein_2d PASSED [ 16%] statsmodels/distributions/tests/test_tools.py::test_grid PASSED [ 16%] statsmodels/distributions/tests/test_tools.py::test_grid_class PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPPredictProb::test_predict_prob_p2 PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPPredictProb::test_predict_prob_p1 PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_jac PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_distr PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_params PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_wald PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_llf PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_aic PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_bic PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_t PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_conf_int PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_alpha PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_bse PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_df PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestSweepAlphaL1::test_sweep_alpha PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_issue_8943 PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_mnlogit_factor PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_predict_with_exposure PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_issue_341 PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_formula_missing_exposure PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_perfect_prediction PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_negative_binomial_default_alpha_param PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_issue_339 PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_poisson_newton PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_mnlogit_factor_categorical PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_iscount PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_l1_regularized_respects_warning_filters PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_non_binary PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_isdummy PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_poisson_predict PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_binary_pred_table_zeros PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_mnlogit_basinhopping PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_optim_kwds_prelim PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_summary_after_remove_data[Logit] PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_logit_family_is_binomial PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_cov_confint_pandas PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_unchanging_degrees_of_freedom PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_poisson_cdf_pdf_match_scipy PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_summary_after_remove_data[MNLogit] PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_mlogit_t_test PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_summary_after_remove_data[NegativeBinomial] PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_summary_after_remove_data[Poisson] PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_binary_results_info_criteria PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_summary_after_remove_data[NegativeBinomialP] PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_mnlogit_float_name PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_summary_after_remove_data[GeneralizedPoisson] PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_cov_params_func_l1_raises_on_nonfinite_hessian PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_null_options PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_count_model_fit_regularized_direct PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_im_ratio_nonrobust_and_robust PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_mnlogit_resid_response PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_summary_after_remove_data[Probit] PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::test_generalized_poisson_score_p_var_prob_nonzero PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxzero PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dydxoverall PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dydxmean PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexzero PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexmedian PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexmean PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxmean PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_exog2 PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxmedian PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_eydxmean PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_eydxoverall PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_exog1 PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxoverall PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexoverall PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_dydxmean PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_dydxoverall PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dummy_dydxoverall PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxoverall PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexoverall PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_exog1 PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexzero PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxzero PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_exog2 PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_resid_pearson PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxmean PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexmean PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxmedian PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dummy_dydxmean PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexmedian PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_zstat PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_loglikeobs PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_predict_xb PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_distr PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_bse PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llr_pvalue PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_dof PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_params PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llnull PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_generalized PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_response PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llf PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_bic PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_summary_latex PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_aic PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llr PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_predict PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_normalized_cov_params XFAIL [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_jac PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_dev PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_conf_int PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_pred_table PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_fit_regularized_invalid_method PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_pvalues PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_cov_params PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_pvalues PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_dof PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llf PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_aic PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_bic PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llr PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_distr PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_pred_table PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_fit_regularized_invalid_method PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_normalized_cov_params XFAIL [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_dev PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_cov_params PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_predict PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_zstat PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_bse PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_conf_int PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_loglikeobs PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_generalized PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_predict_xb PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_response PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llr_pvalue PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_jac PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_params PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_summary_latex PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llnull PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_normalized_cov_params XFAIL [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_cov_params SKIPPED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_predict XFAIL [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_params PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llnull PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_jac PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_pvalues XFAIL [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_lnalpha PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_conf_int PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_aic PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_bic PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llf PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llr PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_dof PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_summary_latex PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llr_pvalue PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_zstat PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_bse PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_predict_xb XFAIL [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_loglikeobs PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_fit_regularized_invalid_method PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_distr PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxoverall PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llf PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_aic PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_bic PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llr PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexoverall PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dydxmean PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dof PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_predict PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_pearson PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_exog2 PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_dev PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_dydxoverall PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_cov_params PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llnull PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_pvalues PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_fit_regularized_invalid_method PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexmedian PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_normalized_cov_params XFAIL [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dummy_dydxmean PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_bse PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dummy_dydxoverall PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_params PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_exog2 PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_diagnostic PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_eydxmean PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexmean PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxmean PASSED [ 16%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxmedian PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_response PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxzero PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexzero PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_pred_table PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxmedian PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_predict_xb PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_eydxoverall PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_conf_int PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxmean PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexmedian PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_exog1 PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexmean PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_dydxmean PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexzero PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_loglikeobs PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_summary_latex PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxzero PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxoverall PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dydxoverall PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_jac PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_distr PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexoverall PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_generalized PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llr_pvalue PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_zstat PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_exog1 PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_cov_params XFAIL [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_dummy PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_summary_latex PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_normalized_cov_params XFAIL [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_overall PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_jac PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_pred_table PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_fit_regularized_invalid_method PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_distr XFAIL [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_zstat PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_pvalues PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llr_pvalue PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_k PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_bse PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_conf_int PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_predict_xb PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_dof PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llnull PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_j PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_mean PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llf PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_aic PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_bic PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_loglikeobs PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llr PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_predict PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_resid PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_endog_names PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_conf_int PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_cov_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_bic PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_aic PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_bse PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_nnz_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Null::test_llnull PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_bic PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_aic PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_bse PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_cov_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_conf_int PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_nnz_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_summary_latex PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_jac PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_pvalues XFAIL [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_distr PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_conf_int PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_cov_params SKIPPED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_predict PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_zstat PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_bse PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_predict_xb PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_normalized_cov_params XFAIL [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_fit_regularized_invalid_method PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llnull PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_fittedvalues PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_loglikeobs PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llr PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_alpha PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_bic PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_aic PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llf PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llr_pvalue PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_dof PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_t_test PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_bad_r_matrix PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_f_test PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_df PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_cov_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_predict_xb PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_normalized_cov_params XFAIL [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_dev PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llr PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_bic PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_aic PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llf PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_fit_regularized_invalid_method PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_dof PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_loglikeobs PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_conf_int PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_generalized PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_bse PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_summary_latex PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llr_pvalue PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_response PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llnull PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_pvalues PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_zstat PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_distr PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_cov_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_jac PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_pred_table PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_predict PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestCVXOPT::test_cvxopt_versus_slsqp SKIPPED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_bse PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_normalized_cov_params XFAIL [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_dof PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_fit_regularized_invalid_method PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_cov_params SKIPPED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llr PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_summary_latex PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_bic PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_aic PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llf PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_zstat PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_loglikeobs PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_pvalues XFAIL [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_lnalpha PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_predict_xb PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_conf_int PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llnull PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_distr PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_jac PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llr_pvalue PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_predict PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_df PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_t_test PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_cov_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_bad_r_matrix PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_f_test PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_cov_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_df PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_bad_r_matrix PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_t_test PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_f_test SKIPPED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoissonNull::test_llnull PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_fit_regularized_invalid_method PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llr_pvalue PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_summary_latex PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_normalized_cov_params XFAIL [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_init_kwargs PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_bse PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llnull PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_loglikeobs PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_dof PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_zstat PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_distr PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llr PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llf PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_bic PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_aic PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_response PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_predict_xb PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_pred_table PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_dev PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_conf_int PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_predict PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_jac PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_cov_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_pvalues PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_generalized PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Null::test_llnull PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_dof PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llr_pvalue PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llr PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llf PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_aic PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_bic PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_loglikeobs PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_fit_regularized_invalid_method PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_zstat PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_bse PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_distr PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_response PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_predict_xb PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_pred_table PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_summary_latex PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_generalized PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_pvalues PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_conf_int PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llnull PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_cov_params PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_predict PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_jac PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_dev PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_normalized_cov_params XFAIL [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_t_test PASSED [ 17%] statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_bad_r_matrix PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_cov_params PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_f_test PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_df PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_params PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_dof PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_params PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llnull PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_fit_regularized_invalid_method PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_distr PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_zstat PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_aic PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_bic PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llf PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llr PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_cov_params SKIPPED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_bse PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_alpha PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_conf_int PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_predict PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llr_pvalue PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_fittedvalues PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_normalized_cov_params XFAIL [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_summary_latex PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_loglikeobs PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_jac PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_pvalues XFAIL [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_predict_xb PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP2Null::test_llnull PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP2Null::test_start_null PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_predict_xb PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_fittedvalues PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_predict PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_loglikeobs PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_distr PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llr_pvalue PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_jac PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_pvalues XFAIL [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_zstat PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_params PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_dof PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llnull PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llf PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_aic PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_bic PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_normalized_cov_params XFAIL [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_conf_int PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llr PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_cov_params SKIPPED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_alpha PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_summary_latex PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_fit_regularized_invalid_method PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_bse PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_cov_params SKIPPED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_normalized_cov_params XFAIL [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_bse PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_dof PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llf PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_aic PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_bic PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llr PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llnull PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_fit_regularized_invalid_method PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_conf_int PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_lnalpha PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llr_pvalue PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_pvalues XFAIL [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_params PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_jac PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_loglikeobs PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_init_kwds PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_zstat PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_distr PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_summary_latex PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_predict PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_predict_xb PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroMNLogit::test_basic_results PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_bad_r_matrix PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_cov_params PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_params PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_t_test PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_df PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_f_test PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_params PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_df PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_bad_r_matrix PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_t_test PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_cov_params PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_f_test PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_summary_latex PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_pred_table PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llnull PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_jac PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_cov_params PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_params PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_predict PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_pvalues PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_distr PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_generalized PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_zstat PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_normalized_cov_params XFAIL [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llr_pvalue PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_response PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_bse PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_dof PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_loglikeobs PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_conf_int PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_bic PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_aic PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_fit_regularized_invalid_method PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_dev PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llf PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_predict_xb PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llr PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_basic PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_mean_var PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_jac PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_predict_prob PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_newton PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_distr PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llnull PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_fit_regularized_invalid_method PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_bse PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_cov_params PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_params PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_pred_table PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_predict PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_dev PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_pvalues PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_normalized_cov_params XFAIL [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llr PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_aic PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_bic PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llf PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_conf_int PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_dof PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_response PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_jac PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_summary_latex PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llr_pvalue PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_generalized PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_zstat PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_predict_xb PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_loglikeobs PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_distr PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_llf PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_hessian PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_init_kwds PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_score PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_t PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_distr PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llr PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_aic PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_bic PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llf PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_summary_latex PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_normalized_cov_params XFAIL [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_predict PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_resid PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_dof PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llr_pvalue PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_dummy PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_bse PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llnull PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_overall PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_params PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_predict_xb PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_pvalues PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_loglikeobs PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_fit_regularized_invalid_method PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_cov_params XFAIL [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_distr XFAIL [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_pred_table PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_zstat PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_k PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_conf_int PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_j PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_jac PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_endog_names PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_mean PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNull::test_llnull PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_bse PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_dev PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llr PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_distr PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_aic PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_summary_latex PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_bic PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llf PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_pred_table PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_cov_params PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_zstat PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_generalized PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_dof PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llnull PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_loglikeobs PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_params PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_jac PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_predict_xb PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_response PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_predict PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_conf_int PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llr_pvalue PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_pvalues PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_normalized_cov_params XFAIL [ 18%] statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_fit_regularized_invalid_method PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llr PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_aic PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_bic PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llf PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_cov_params SKIPPED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llnull PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_dof PASSED [ 18%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_params PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_zstat PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_bse PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_normalized_cov_params XFAIL [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_fittedvalues PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_summary_latex PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_distr PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_pvalues XFAIL [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_fit_regularized_invalid_method PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llr_pvalue PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_conf_int PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_jac PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_predict_xb PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_loglikeobs PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_predict PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP1Null::test_llnull PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP1Null::test_start_null PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_df PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_conf_int PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_params PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_llf PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_bic PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_aic PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_alpha PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_bse PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_cov_params SKIPPED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_alpha PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_bse PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_pvalues XFAIL [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_conf_int PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_predict PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_dof PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_fittedvalues PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_normalized_cov_params XFAIL [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llr PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llnull PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llf PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_aic PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_params PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_bic PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_zstat PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llr_pvalue PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_jac PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_fit_regularized_invalid_method PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_distr PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_predict_xb PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_summary_latex PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_loglikeobs PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_loglikeobs PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_distr PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_conf_int PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_zstat PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_predict_xb XFAIL [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llr_pvalue PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_params PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llnull PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_jac PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_dof PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llr PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llf PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_predict XFAIL [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_aic PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_bic PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_lnalpha PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_pvalues XFAIL [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_fit_regularized_invalid_method PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_bse PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_summary_latex PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_normalized_cov_params XFAIL [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_cov_params SKIPPED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_bse PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_conf_int PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_bic PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_aic PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_params PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_nnz_params PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroProbit::test_basic_results PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroProbit::test_tests PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_f_test PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_t_test PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_bad_r_matrix PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_params PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_cov_params PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_df PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llnull PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_conf_int PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_params PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llr_pvalue PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_generalized PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_jac PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_fit_regularized_invalid_method PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_loglikeobs PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_predict_xb PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llf PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_pred_table PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_aic PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_bic PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_zstat PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llr PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_dev PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_dof PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_summary_latex PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_distr PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_predict PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_cov_params PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_normalized_cov_params XFAIL [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_response PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_pvalues PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_bse PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_cov_params PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llr PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_bic PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_aic PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_fit_regularized_invalid_method PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llf PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_dydxmean PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_pred_table PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dof PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexoverall PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxmedian PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxzero PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_bse PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexzero PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxoverall PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexmean PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxmean PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_dydxoverall PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexmedian PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_conf_int PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexzero PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexoverall PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxzero PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dummy_dydxmean PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexmedian PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_normalized_cov_params XFAIL [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_distr PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxmean PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexmean PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxoverall PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_predict PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dummy_dydxoverall PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_eydxoverall PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llr_pvalue PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxmedian PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_zstat PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dydxmean PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llnull PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_params PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_predict_xb PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_dev PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_jac PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dydxoverall PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_summary_latex PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_pvalues PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_eydxmean PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_response PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_loglikeobs PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_generalized PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitScoreTest::test_score_factor_consistency PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitScoreTest::test_score_test_df PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitScoreTest::test_hessian_factor_consistency PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitScoreTest::test_score_test_4_categories PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitScoreTest::test_score_wald_equivalence PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitScoreTest::test_score_test_hc0 PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestMNLogitScoreTest::test_score_test_smoke PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_basic_results PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_converged PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_tests PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_resid PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_dof PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_cov_params XFAIL [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_pvalues PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llf PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_aic PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_bic PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llr PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_margeff_dummy_overall PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_margeff_overall PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_bse PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_summary_latex PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_zstat PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_distr PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_fit_regularized_invalid_method PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_conf_int PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llr_pvalue PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict_prob PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict_xb PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_normalized_cov_params XFAIL [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llnull PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_jac PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_loglikeobs PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_params PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_loglikeobs PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_summary_latex PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_generalized PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_predict_xb PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_predict PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_conf_int PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_pvalues PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llr_pvalue PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_normalized_cov_params XFAIL [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_jac PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_fit_regularized_invalid_method PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llnull PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_params PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_distr PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llr PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_aic PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_bic PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llf PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_dof PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_response PASSED [ 19%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_zstat PASSED [ 20%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_bse PASSED [ 20%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_dev PASSED [ 20%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_pred_table PASSED [ 20%] statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_cov_params PASSED [ 20%] statsmodels/tools/tests/test_transform_model.py::test_standardize_ols[5] PASSED [ 20%] statsmodels/tools/tests/test_transform_model.py::test_standardize_ols[1] PASSED [ 20%] statsmodels/tools/tests/test_transform_model.py::test_standardize1 PASSED [ 20%] statsmodels/nonparametric/tests/test_kernels.py::test_tricube PASSED [ 20%] statsmodels/nonparametric/tests/test_kernels.py::TestBiweight::test_smoothconf_data PASSED [ 20%] statsmodels/nonparametric/tests/test_kernels.py::TestBiweight::test_smoothconf PASSED [ 20%] statsmodels/nonparametric/tests/test_kernels.py::TestGau::test_smoothconf_data PASSED [ 20%] statsmodels/nonparametric/tests/test_kernels.py::TestGau::test_smoothconf PASSED [ 20%] statsmodels/nonparametric/tests/test_kernels.py::TestUniform::test_smoothconf_data PASSED [ 20%] statsmodels/nonparametric/tests/test_kernels.py::TestUniform::test_smoothconf PASSED [ 20%] statsmodels/nonparametric/tests/test_kernels.py::TestTriangular::test_smoothconf_data PASSED [ 20%] statsmodels/nonparametric/tests/test_kernels.py::TestTriangular::test_smoothconf PASSED [ 20%] statsmodels/nonparametric/tests/test_kernels.py::TestCosine::test_smoothconf XFAIL [ 20%] statsmodels/nonparametric/tests/test_kernels.py::TestCosine::test_smoothconf_data PASSED [ 20%] statsmodels/nonparametric/tests/test_kernels.py::TestEpan::test_smoothconf_data PASSED [ 20%] statsmodels/nonparametric/tests/test_kernels.py::TestEpan::test_smoothconf PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS3::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS3::test_power_plot PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS3::test_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS3::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::test_normal_power_explicit PASSED [ 20%] statsmodels/stats/tests/test_power.py::test_ftest_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::test_solve_power_impossible_one_sided_raises PASSED [ 20%] statsmodels/stats/tests/test_power.py::test_power_solver_warn XFAIL [ 20%] statsmodels/stats/tests/test_power.py::test_solve_power_no_solution_returns_nan PASSED [ 20%] statsmodels/stats/tests/test_power.py::test_alternative_deprecated_alias[normal_power] PASSED [ 20%] statsmodels/stats/tests/test_power.py::test_power_solver PASSED [ 20%] statsmodels/stats/tests/test_power.py::test_alternative_deprecated_alias[ttest_power] PASSED [ 20%] statsmodels/stats/tests/test_power.py::test_alternative_deprecated_alias[normal_power_het] PASSED [ 20%] statsmodels/stats/tests/test_power.py::test_normal_sample_size_one_tail PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestChisquarePower::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestChisquarePower::test_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestChisquarePower::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestChisquarePower::test_power_plot PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS3::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS3::test_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS3::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS3::test_power_plot PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestNormalIndPower1::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestNormalIndPower1::test_power_plot PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestNormalIndPower1::test_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestNormalIndPower1::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestFtestPowerF2::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestFtestPowerF2::test_power_plot SKIPPED [ 20%] statsmodels/stats/tests/test_power.py::TestFtestPowerF2::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestFtestPowerF2::test_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS2::test_power_plot PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS2::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS2::test_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS2::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS6::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS6::test_power_plot PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS6::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS6::test_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp1::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp1::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp1::test_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp1::test_power_plot PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestFtestPower::test_power_plot SKIPPED [ 20%] statsmodels/stats/tests/test_power.py::TestFtestPower::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestFtestPower::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestFtestPower::test_kwargs PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestFtestPower::test_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS6::test_power_plot PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS6::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS6::test_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS6::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS2::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS2::test_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS2::test_power_plot PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS2::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS4::test_power_plot PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS4::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS4::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS4::test_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestNormalIndPower2::test_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestNormalIndPower2::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestNormalIndPower2::test_power_plot PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestNormalIndPower2::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS4::test_power_plot PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS4::test_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS4::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS4::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_power_plot PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp2::test_power_plot PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp2::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp2::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp2::test_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS1::test_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS1::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS1::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS1::test_power_plot PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS5::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS5::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS5::test_power_plot PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerOneS5::test_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS5::test_power PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS5::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS5::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS5::test_power_plot PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS1::test_positional PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS1::test_power_plot PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS1::test_roots PASSED [ 20%] statsmodels/stats/tests/test_power.py::TestTTPowerTwoS1::test_power PASSED [ 20%] statsmodels/stats/tests/test_diagnostic_other.py::test_conditional_moment_test_generic_invalid_cov_type_raises PASSED [ 20%] statsmodels/stats/tests/test_diagnostic_other.py::TestCMTOLS::test_scorehc0 PASSED [ 20%] statsmodels/stats/tests/test_diagnostic_other.py::TestCMTOLS::test_scoreopg PASSED [ 20%] statsmodels/stats/tests/test_diagnostic_other.py::TestCMTOLS::test_score PASSED [ 20%] statsmodels/compat/tests/test_itercompat.py::test_zip_longest PASSED [ 20%] statsmodels/compat/tests/test_itercompat.py::test_combinations PASSED [ 20%] statsmodels/base/tests/test_predict.py::TestPredictOLS::test_2d PASSED [ 20%] statsmodels/base/tests/test_predict.py::TestPredictOLS::test_1d PASSED [ 20%] statsmodels/base/tests/test_predict.py::TestPredictOLS::test_without_formula PASSED [ 20%] statsmodels/base/tests/test_predict.py::TestPredictGLM::test_without_formula PASSED [ 20%] statsmodels/base/tests/test_predict.py::TestPredictGLM::test_1d PASSED [ 20%] statsmodels/base/tests/test_predict.py::TestPredictGLM::test_2d PASSED [ 20%] statsmodels/base/tests/test_predict.py::TestPredictGLM::test_predict_offset PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error_diffuse_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_estimator_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_state_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_estimator PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothing_error SKIPPED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_state PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_diffuse_state_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_filtered_state_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_disturbance PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_kalman_gain PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_disturbance_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_filtered_state PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_initialization PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_nobs_diffuse PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_state XFAIL [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_loglike PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_autocov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_measurement_disturbance PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_initialization_approx PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothing_error SKIPPED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_state_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error_diffuse_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_estimator PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_kalman_gain PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_state PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_diffuse_state_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_nobs_diffuse PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_initialization_approx PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_disturbance PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_disturbance_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_estimator_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_filtered_state_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_state XFAIL [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_initialization PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_measurement_disturbance PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_loglike PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_autocov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_filtered_state PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_common_level_restricted_analytic PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_common_level_analytic PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_irrelevant_state XFAIL [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_nondiagonal_obs_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestLocalLevelAnalytic::test_results PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestLocalLinearTrendAnalytic::test_results PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_kalman_gain PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_estimator PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_autocov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_state_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_nobs_diffuse PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_measurement_disturbance PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_disturbance PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_initialization PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_state PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_loglike PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error_diffuse_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_disturbance_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_filtered_state PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothing_error SKIPPED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_state XFAIL [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts PASSED [ 20%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_filtered_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_diffuse_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_kalman_gain PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_autocov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_diffuse_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error_diffuse_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_initialization PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_estimator PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_filtered_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_disturbance PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_state XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_loglike PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_nobs_diffuse PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_measurement_disturbance PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_filtered_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_disturbance_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothing_error SKIPPED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error_diffuse_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_autocov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_kalman_gain PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_filtered_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_initialization PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_filtered_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_disturbance PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_state XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothing_error SKIPPED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_loglike PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_diffuse_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_estimator PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_disturbance_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_measurement_disturbance PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_nobs_diffuse PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts_error_diffuse_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_kalman_gain PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_disturbance PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts_error_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts_error PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_state XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_disturbance_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_predicted_diffuse_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_filtered_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_estimator PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_measurement_disturbance PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_nobs_diffuse PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_initialization_approx PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_initialization PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothing_error SKIPPED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_autocov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_predicted_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_predicted_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_filtered_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_loglike PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_diffuse_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_loglike PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_nobs_diffuse PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_disturbance PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_state XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_measurement_disturbance PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothing_error SKIPPED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error_diffuse_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_disturbance_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_filtered_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_initialization PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_autocov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_estimator PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_filtered_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_kalman_gain PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_disturbance_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_loglike PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error_diffuse_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_autocov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_state XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_measurement_disturbance PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothing_error SKIPPED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_diffuse_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_nobs_diffuse PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_filtered_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_disturbance PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_kalman_gain PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_estimator PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_initialization PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_filtered_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestLocalLevelAnalyticDirect::test_results PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestLocalLinearTrendAnalyticMissing::test_results PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_filtered_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_disturbance_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error_diffuse_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_nobs_diffuse PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_initialization_approx PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_diffuse_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_estimator PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_state XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_autocov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothing_error SKIPPED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_disturbance PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_filtered_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_measurement_disturbance PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_kalman_gain PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_loglike PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_initialization PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error_diffuse_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_disturbance PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_measurement_disturbance PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_estimator PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_kalman_gain PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_initialization_approx PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_filtered_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_diffuse_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_autocov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_state XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_disturbance_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_nobs_diffuse PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_filtered_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_initialization PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_loglike PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_state_cov PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state PASSED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothing_error SKIPPED [ 21%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestLocalLinearTrendAnalyticDirect::test_results PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_estimator PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_loglike PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_filtered_state_cov PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_nobs_diffuse PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_cov PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothing_error SKIPPED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_filtered_state PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_disturbance_cov PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_estimator_cov PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_initialization PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_state PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error_cov PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_disturbance PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_autocov PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_state_cov PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error_diffuse_cov PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_diffuse_state_cov PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_state XFAIL [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_kalman_gain PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_initialization_approx PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_measurement_disturbance PASSED [ 22%] statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error PASSED [ 22%] statsmodels/discrete/tests/test_diagnostic.py::TestPoissonDiagnosticClass::test_spec_tests PASSED [ 22%] statsmodels/discrete/tests/test_diagnostic.py::TestCountDiagnostic::test_count PASSED [ 22%] statsmodels/discrete/tests/test_diagnostic.py::TestCountDiagnostic::test_probs PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPicklePoisson::test_remove_data_docstring PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPicklePoisson::test_remove_data_pickle PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPicklePoisson::test_pickle_wrapper PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleNegativeBinomial::test_remove_data_pickle PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleNegativeBinomial::test_remove_data_docstring PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleNegativeBinomial::test_pickle_wrapper PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula2::test_remove_data_pickle PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula2::test_pickle_wrapper PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula2::test_remove_data_docstring PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleGLM::test_cached_values_evaluated PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleGLM::test_remove_data_docstring PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleGLM::test_cached_data_removed PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleGLM::test_remove_data_pickle PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleGLM::test_pickle_wrapper PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleGLMConstrained::test_remove_data_pickle PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleGLMConstrained::test_remove_data_docstring PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleGLMConstrained::test_pickle_wrapper PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleRLM::test_remove_data_pickle PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleRLM::test_pickle_wrapper PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleRLM::test_remove_data_docstring PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula::test_pickle_wrapper PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula::test_remove_data_pickle PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula::test_remove_data_docstring PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula3::test_pickle_wrapper PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula3::test_remove_data_docstring PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula3::test_remove_data_pickle PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula5::test_pickle_wrapper PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula5::test_remove_data_docstring PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula5::test_remove_data_pickle PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPicklePoissonRegularized::test_remove_data_pickle PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPicklePoissonRegularized::test_remove_data_docstring PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPicklePoissonRegularized::test_pickle_wrapper PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleWLS::test_remove_data_docstring PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleWLS::test_remove_data_pickle PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleWLS::test_pickle_wrapper PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleOLS::test_pickle_wrapper PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleOLS::test_remove_data_pickle PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleOLS::test_remove_data_docstring PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula4::test_pickle_wrapper PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula4::test_remove_data_docstring PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula4::test_remove_data_pickle PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleLogit::test_remove_data_docstring PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleLogit::test_pickle_wrapper PASSED [ 22%] statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleLogit::test_remove_data_pickle PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_predict_custom_index PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_lltrend_cycle_seasonal_reg_ar1 PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_freq_seasonal PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_forecast PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_rtrend_ar1 PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_mle_reg[True] PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_irregular PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_deterministic_constant PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_matrices_somewhat_complicated_model PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_apply_results PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_fixed_slope PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_random_trend PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_local_linear_deterministic_trend PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_misc_exog PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_fixed_slope_warn PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_local_linear_trend PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_reg PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_specifications PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_random_walk_with_drift PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_plot_components_invalid_which_raises PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_cycle PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_summary_after_remove_data PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_deterministic_trend PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_random_walk PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_fixed_intercept PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_append_results PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_seasonal PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_recreate_model PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_local_level PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_mle_reg[False] PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_start_params PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_forecast_exog PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_extend_results PASSED [ 22%] statsmodels/tsa/statespace/tests/test_structural.py::test_smooth_trend PASSED [ 22%] statsmodels/stats/tests/test_contrast.py::test_contrast_results_str_repr PASSED [ 22%] statsmodels/stats/tests/test_contrast.py::test_wald_test_results_summary_frame_str_repr PASSED [ 22%] statsmodels/stats/tests/test_contrast.py::test_wald_test_results_direct_construction PASSED [ 22%] statsmodels/stats/tests/test_contrast.py::test_constraints PASSED [ 22%] statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast3 PASSED [ 22%] statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast2 PASSED [ 22%] statsmodels/stats/tests/test_contrast.py::TestContrast::test_estimable PASSED [ 22%] statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast1 PASSED [ 22%] statsmodels/tsa/interp/tests/test_denton.py::test_denton_freq_other_matches_benchmark_sums PASSED [ 22%] statsmodels/tsa/interp/tests/test_denton.py::test_denton_freq_other_requires_k PASSED [ 22%] statsmodels/tsa/interp/tests/test_denton.py::test_denton_invalid_freq_raises PASSED [ 22%] statsmodels/tsa/interp/tests/test_denton.py::test_denton_quarterly PASSED [ 22%] statsmodels/tsa/interp/tests/test_denton.py::test_denton_quarterly2 PASSED [ 22%] statsmodels/tsa/interp/tests/test_denton.py::test_denton_freq_qm_matches_benchmark_sums PASSED [ 22%] statsmodels/tools/tests/test_testing.py::test_assert_equal_index_forwards_kwds PASSED [ 22%] statsmodels/tools/tests/test_testing.py::test_assert_equal_forwards_err_msg PASSED [ 22%] statsmodels/tools/tests/test_testing.py::test_holder PASSED [ 22%] statsmodels/tools/tests/test_testing.py::test_bad_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::test_loglikeobs_sums_to_loglike PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonNonePenal::test_summary PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonNonePenal::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonNonePenal::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonNonePenal::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianL2::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianL2::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianL2::test_summary PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianL2::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountNoPenal::test_summary PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountNoPenal::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountNoPenal::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountNoPenal::test_deriv PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountNoPenal::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianOracleHC2::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianOracleHC2::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianOracleHC2::test_summary PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianOracleHC2::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedLogitNoPenal::test_summary PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedLogitNoPenal::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedLogitNoPenal::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedLogitNoPenal::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOracle::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOracle::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOracle::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOracle::test_summary PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized::test_summary PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonNoPenal::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonNoPenal::test_summary PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonNoPenal::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonNoPenal::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOracleHC::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOracleHC::test_cov_type PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOracleHC::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOracleHC::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOracleHC::test_summary PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonGLMOracleHC::test_summary PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonGLMOracleHC::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonGLMOracleHC::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonGLMOracleHC::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianL2Theil::test_summary PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianL2Theil::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianL2Theil::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianL2Theil::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOracle::test_summary PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOracle::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOracle::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOracle::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOraclePenalized::test_summary PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOraclePenalized::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOraclePenalized::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOraclePenalized::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOraclePenalized2::test_summary PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOraclePenalized2::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOraclePenalized2::test_zeros PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOraclePenalized2::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOraclePenalized2::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonOracleHC::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonOracleHC::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonOracleHC::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonOracleHC::test_summary PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2::test_zeros PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2::test_summary PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianOracleHC::test_summary PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianOracleHC::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianOracleHC::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianOracleHC::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMLogitOracle::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMLogitOracle::test_summary PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMLogitOracle::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMLogitOracle::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonNoPenal::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonNoPenal::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonNoPenal::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonNoPenal::test_summary PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC2::test_numdiff PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC2::test_params_table PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC2::test_summary2 PASSED [ 22%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC2::test_summary PASSED [ 23%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2HC::test_params_table PASSED [ 23%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2HC::test_cov_type PASSED [ 23%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2HC::test_summary PASSED [ 23%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2HC::test_summary2 PASSED [ 23%] statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2HC::test_numdiff PASSED [ 23%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonOracle::test_params_table PASSED [ 23%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonOracle::test_numdiff PASSED [ 23%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonOracle::test_summary2 PASSED [ 23%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonOracle::test_summary PASSED [ 23%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC::test_summary2 PASSED [ 23%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC::test_params_table PASSED [ 23%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC::test_summary PASSED [ 23%] statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC::test_numdiff PASSED [ 23%] statsmodels/tools/tests/test_parallel.py::test_parallel PASSED [ 23%] statsmodels/stats/tests/test_inter_rater.py::test_fleiss_kappa PASSED [ 23%] statsmodels/stats/tests/test_inter_rater.py::test_fleis_randolph PASSED [ 23%] statsmodels/stats/tests/test_inter_rater.py::test_to_table PASSED [ 23%] statsmodels/stats/tests/test_inter_rater.py::test_fleiss_kappa_irr PASSED [ 23%] statsmodels/stats/tests/test_inter_rater.py::test_cohenskappa_weights PASSED [ 23%] statsmodels/stats/tests/test_inter_rater.py::test_cohens_kappa_irr PASSED [ 23%] statsmodels/stats/tests/test_inter_rater.py::test_aggregate_raters PASSED [ 23%] statsmodels/stats/tests/test_inter_rater.py::TestWeightedCohens::test_results PASSED [ 23%] statsmodels/stats/tests/test_inter_rater.py::TestWeightedCohens::test_option PASSED [ 23%] statsmodels/stats/tests/test_inter_rater.py::TestUnweightedCohens::test_results PASSED [ 23%] statsmodels/stats/tests/test_inter_rater.py::TestUnweightedCohens::test_option PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_fit_regularized_invalid_method PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_formula PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_conditional_mnlogit_fit_rng_types[randomstate] PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_summary_after_remove_data[ConditionalLogit] PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_logit_2d PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_conditional_mnlogit_grad PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_summary_after_remove_data[ConditionalMNLogit] PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_summary_after_remove_data[ConditionalPoisson] PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_lasso_logistic PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_logit_1d PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_logit_formula PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_lasso_poisson PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_conditional_mnlogit_fit_rng_types[int] PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_conditional_mnlogit_fit_rng_reproducible PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_poisson_1d PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_conditional_mnlogit_3d PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_conditional_mnlogit_2d PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_conditional_mnlogit_fit_warn PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_poisson_2d PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_conditional_mnlogit_fit_rng_types[generator] PASSED [ 23%] statsmodels/discrete/tests/test_conditional.py::test_skip_hessian PASSED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_rawspec_no_x11[monthly] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_log_diagnostics_false[monthly_co2] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_log_diagnostics[series] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_log_diagnostics[dataframe] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_rawspec_no_save[monthly_co2] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[monthly_co2-False] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_invalid_rawspec[monthly_start_co2] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_rawspec_no_x11[monthly_start_co2] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_log_diagnostics_false[series] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot[monthly_start] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot[series] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_rawspec_no_x11[monthly_co2] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_invalid_rawspec[monthly_start] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_rawspec_arg SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[series-True] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[dataframe-False] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[dataframe-True] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_rawspec_no_save[monthly] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[monthly-True] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_log_diagnostics[monthly] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_log_diagnostics[monthly_co2] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_rawspec_no_save[monthly_start] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_rawspec_no_x11[monthly_start] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_rawspec_run[monthly] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_rawspec_run[monthly_start_co2] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_rawspec_run[dataframe] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_rawspec_no_save[dataframe] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[monthly_start_co2-False] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_rawspec_no_x11[series] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot[dataframe] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_invalid_rawspec[monthly] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_rawspec_no_x11[dataframe] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_invalid_rawspec[dataframe] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_log_diagnostics_false[monthly] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_invalid_rawspec[monthly_co2] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[monthly_start_co2-True] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[series-False] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[monthly_start-False] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_rawspec_no_save[monthly_start_co2] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot_no_pandas[monthly_start] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_log_diagnostics_false[monthly_start] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[monthly-False] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[monthly_co2-True] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_rawspec_run[monthly_co2] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot_no_pandas[series] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_log_diagnostics_false[monthly_start_co2] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot_no_pandas[monthly_co2] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot[monthly_co2] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot_no_pandas[monthly] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_rawspec_run[series] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot_no_pandas[dataframe] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_rawspec_no_save[series] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot_no_pandas[monthly_start_co2] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_rawspec_run[monthly_start] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_log_diagnostics[monthly_start_co2] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot[monthly_start_co2] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_log_diagnostics[monthly_start] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_log_diagnostics_false[dataframe] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_invalid_rawspec[series] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot[monthly] SKIPPED [ 23%] statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[monthly_start-True] SKIPPED [ 23%] statsmodels/tools/tests/test_tools.py::test_pandas_const_df_prepend PASSED [ 23%] statsmodels/tools/tests/test_tools.py::test_pandas_const_series_prepend PASSED [ 23%] statsmodels/tools/tests/test_tools.py::test_matrix_rank_column_order[ip] PASSED [ 23%] statsmodels/tools/tests/test_tools.py::test_matrix_rank_column_order[qr] PASSED [ 23%] statsmodels/tools/tests/test_tools.py::test_pandas_const_series PASSED [ 23%] statsmodels/tools/tests/test_tools.py::test_matrix_rank_column_order[svd] PASSED [ 23%] statsmodels/tools/tests/test_tools.py::test_estimable PASSED [ 23%] statsmodels/tools/tests/test_tools.py::test_pandas_const_df PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_numpy PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_enfore_numpy PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_pandas PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestTools::test_drop_missing_x PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestTools::test_extendedpinv PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_list PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_has_constant2d PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestTools::test_drop_missing PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_dataframe PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestTools::test_fullrank PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_has_constant1d PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_1d PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestTools::test_extendedpinv_singular PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_series PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestTools::test_recipr0 PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_zeros PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestTools::test_recipr PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestNanDot::test_23 PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestNanDot::test_66 PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestNanDot::test_13 PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestNanDot::test_12 PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestNanDot::test_32 PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestNanDot::test_24 PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestNanDot::test_14 PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestNanDot::test_41 PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestNanDot::test_11 PASSED [ 23%] statsmodels/tools/tests/test_tools.py::TestNanDot::test_25 PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_var_to_vecm PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_normality PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_lag_order_selection PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_sigma PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_log_like PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_summary PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_inst_causality PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_var_rep PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_coint_rank_results_summary PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_det_terms_in_coint_relation PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_gamma PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_alpha PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_VECM_seasonal_forecast PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_beta PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_exceptions PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_granger_causality PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_select_coint_rank PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_whiteness PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_impulse_response PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_fc PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_c PASSED [ 23%] statsmodels/tsa/vector_ar/tests/test_vecm.py::test_plot_forecast_and_plot_data PASSED [ 23%] statsmodels/emplike/tests/test_aft.py::Test_AFTModel::test_params PASSED [ 23%] statsmodels/emplike/tests/test_aft.py::Test_AFTModel::test_predict PASSED [ 23%] statsmodels/emplike/tests/test_aft.py::Test_AFTModel::test_beta1 PASSED [ 23%] statsmodels/emplike/tests/test_aft.py::Test_AFTModel::test_beta0 PASSED [ 23%] statsmodels/emplike/tests/test_aft.py::Test_AFTModel::test_beta_vect PASSED [ 23%] statsmodels/emplike/tests/test_aft.py::Test_AFTModel::test_betaci PASSED [ 23%] statsmodels/sandbox/distributions/tests/test_transf.py::Test_Transf2::test_equivalent PASSED [ 23%] statsmodels/sandbox/distributions/tests/test_transf.py::Test_Transf2::test_equivalent_negsq PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_get_empty_eval_patsy PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_bad_constraint[patsy] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_legacy_orderer[y ~ 1 + C(f):C(d):a + C(d):a + c + a:b + C(e):b + C(f):a + a + C(d) + b +C(f):C(d) + C(d):C(e) + C(f)] SKIPPED [ 23%] statsmodels/formula/tests/test_manager.py::test_two_arrays[patsy] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_formula_manager_no_formulaic PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_engine_options_engine[patsy] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_engine_options_order[none] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_legacy_orderer[y ~ a + C(e) + a:C(e) + C(f) + C(f):C(d) - 1] SKIPPED [ 23%] statsmodels/formula/tests/test_manager.py::test_legacy_orderer[y ~ a - 1] SKIPPED [ 23%] statsmodels/formula/tests/test_manager.py::test_get_factor_categories[patsy] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_engine_options_order[degree] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_get_term_name_slices_alt[patsy] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_legacy_orderer[y ~ 1 + C(d):a + b + a + C(e)] SKIPPED [ 23%] statsmodels/formula/tests/test_manager.py::test_get_intercept_idx[patsy] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_get_contrast_matrix[patsy] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_engine[patsy] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_get_slice[patsy] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_get_spec[patsy] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_get_term_name_alt[patsy] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_legacy_orderer[y ~ a + C(d):a:b + a:b + b + C(d) + C(e) + C(f):C(e) - 1] SKIPPED [ 23%] statsmodels/formula/tests/test_manager.py::test_get_empty_eval_patsy_errors PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_formula_manager_no_patsy SKIPPED [ 23%] statsmodels/formula/tests/test_manager.py::test_get_description[patsy] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_remove_intercept[patsy] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_legacy_orderer[y ~ 1 + C(e) + C(f):C(e) + a + a:b + C(d):a:b + b + C(d)] SKIPPED [ 23%] statsmodels/formula/tests/test_manager.py::test_legacy_orderer[y ~ a + C(e) - 1] SKIPPED [ 23%] statsmodels/formula/tests/test_manager.py::test_engine_options_order_effect SKIPPED [ 23%] statsmodels/formula/tests/test_manager.py::test_single_array[patsy] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_get_term_name[patsy] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_get_linear_constraints[patsy-constraint3] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_engine_options_err PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_get_linear_constraints[patsy-x + z = 1] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_get_linear_constraints[patsy-constraint2] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_get_term_name_slices[patsy] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_get_linear_constraints[patsy-constraint0] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_legacy_orderer[y ~ 1 + a + C(e) + a:C(e) + C(f)] SKIPPED [ 23%] statsmodels/formula/tests/test_manager.py::test_engine_options_order[legacy] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_legacy_orderer[y ~ a + C(e) + a:C(e) + C(f) - 1] SKIPPED [ 23%] statsmodels/formula/tests/test_manager.py::test_get_linear_constraints[patsy-constraint1] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_na_action[patsy] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_has_intercept[patsy] PASSED [ 23%] statsmodels/formula/tests/test_manager.py::test_get_empty_eval_formulaic SKIPPED [ 24%] statsmodels/formula/tests/test_manager.py::test_get_na_action[patsy] PASSED [ 24%] statsmodels/formula/tests/test_manager.py::test_legacy_orderer[y ~ 1 + a + C(e) + a:C(e) + C(f) + C(f):C(d)] SKIPPED [ 24%] statsmodels/formula/tests/test_manager.py::test_get_model_spec[patsy] PASSED [ 24%] statsmodels/formula/tests/test_manager.py::test_default_value PASSED [ 24%] statsmodels/formula/tests/test_manager.py::test_legacy_orderer[y ~ d:f:c:b + C(f):c:b + a:b + a + C(d):a:b + c:b + b + C(d) + C(e) + C(f):C(e) - 1] SKIPPED [ 24%] statsmodels/formula/tests/test_manager.py::test_get_column_names[patsy] PASSED [ 24%] statsmodels/formula/tests/test_manager.py::test_engine_options_order[sort] PASSED [ 24%] statsmodels/tsa/statespace/tests/test_concentrated.py::test_concentrated_scale_conventional PASSED [ 24%] statsmodels/tsa/statespace/tests/test_concentrated.py::test_concentrated_loglike_sarimax PASSED [ 24%] statsmodels/tsa/statespace/tests/test_concentrated.py::test_concentrated_predict_sarimax PASSED [ 24%] statsmodels/tsa/statespace/tests/test_concentrated.py::test_concentrated_scale_univariate PASSED [ 24%] statsmodels/tsa/statespace/tests/test_concentrated.py::test_fixed_scale_sarimax PASSED [ 24%] statsmodels/tsa/arima/estimators/tests/test_estimator_result.py::test_burg_returns_estimator_result PASSED [ 24%] statsmodels/tsa/arima/estimators/tests/test_estimator_result.py::test_innovations_mle_returns_estimator_result PASSED [ 24%] statsmodels/tsa/arima/estimators/tests/test_estimator_result.py::test_yule_walker_returns_estimator_result PASSED [ 24%] statsmodels/tsa/arima/estimators/tests/test_estimator_result.py::test_innovations_returns_estimator_result PASSED [ 24%] statsmodels/tsa/arima/estimators/tests/test_estimator_result.py::test_gls_returns_estimator_result PASSED [ 24%] statsmodels/tsa/arima/estimators/tests/test_estimator_result.py::test_hannan_rissanen_returns_estimator_result PASSED [ 24%] statsmodels/tsa/arima/estimators/tests/test_estimator_result.py::test_statespace_returns_estimator_result PASSED [ 24%] statsmodels/tsa/arima/estimators/tests/test_estimator_result.py::test_durbin_levinson_returns_estimator_result PASSED [ 24%] statsmodels/tools/tests/test_docstring.py::test_empty_ds PASSED [ 24%] statsmodels/tools/tests/test_docstring.py::test_empty_string_ds[] PASSED [ 24%] statsmodels/tools/tests/test_docstring.py::test_empty_string_ds[ ] PASSED [ 24%] statsmodels/tools/tests/test_docstring.py::test_remove_parameter PASSED [ 24%] statsmodels/tools/tests/test_docstring.py::test_repeat PASSED [ 24%] statsmodels/tools/tests/test_docstring.py::test_insert_parameters PASSED [ 24%] statsmodels/tools/tests/test_docstring.py::test_multiple_sig PASSED [ 24%] statsmodels/tools/tests/test_docstring.py::test_replace_block PASSED [ 24%] statsmodels/tools/tests/test_docstring.py::test_yield_return PASSED [ 24%] statsmodels/tools/tests/test_docstring.py::test_empty_string_ds[\n] PASSED [ 24%] statsmodels/tools/tests/test_docstring.py::test_set_unknown PASSED [ 24%] statsmodels/tools/tests/test_docstring.py::test_bad PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_invalid_dist_config PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_qqplot_unequal PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-30-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-50-30-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-50-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-30-50-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-50-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-30-50-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-30-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-50-30-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-50-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-50-50-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-30-30-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-50-30-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-30-30-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-50-30-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-50-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-50-50-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-30-30-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-50-50-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-50-50-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-30-30-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-50-30-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-30-50-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-30-50-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-50-30-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_axis_order PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-50-50-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-30-50-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-50-30-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-30-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-50-30-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-30-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_param_unpacking PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-50-50-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-30-50-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-30-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-30-30-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-50-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-50-50-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_qqplot_2samples_kwargs PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-50-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-50-50-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_qqplot_2samples_labels PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-30-labels1] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-30-30-labels0] PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestCompareSamplesDifferentSize::test_ppplot PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestCompareSamplesDifferentSize::test_qqplot PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_45_fmt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_q PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_s_fmt_lineoptions PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_badline_with_x_y PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_non45_no_x_no_y PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_45_fmt_lineoptions PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_r PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_r_fmt_lineoptions PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_badline PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_non45_no_x PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_q_fmt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_non45_no_y PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_s_fmt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_45 PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_r_fmt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_q_fmt_lineoptions PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_s PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_custom_labels PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_other_array PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_pltkwargs PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_fit_params PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_exceed PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_other_array PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_pltkwargs PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_pltkwargs PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_other_array PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_custom_labels PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_custom_labels PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_other_prbplt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_other_prbplt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_other_prbplt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestCheckDist::test_good PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestCheckDist::test_bad PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_plot_full_options PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_with_ax PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_step_full_options PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_plot_qq_line PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_step_baseline PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_baseline PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_step_qq_line PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_other_prbplt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_other_prbplt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_pltkwargs PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_fit_params PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_pltkwargs PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_other_prbplt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_other_array PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_custom_labels PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_other_array PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_custom_labels PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_pltkwargs PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_custom_labels PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_other_array PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_exceed PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_pltkwargs PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_2samples_arrays PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_2samples_prob_plot_objects PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_other_prbplt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_pltkwargs PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_loc_set PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_pltkwargs PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_loc_set_in_dist PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_custom_labels PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_exceed PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_fit_params PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_custom_labels PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_other_array PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_other_prbplt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_other_prbplt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_scale_set PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_other_array PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_custom_labels PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_other_array PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_pltkwargs PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_scale_set_in_dist PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_custom_labels PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_pltkwargs PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_pltkwargs PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_fit_params PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_pltkwargs PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_custom_labels PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_other_prbplt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_other_array PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_other_array PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_other_array PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_other_prbplt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_custom_labels PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_other_prbplt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_exceed PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_pltkwargs PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_pltkwargs PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_custom_labels PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_other_prbplt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_other_prbplt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_scale_set PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_exceptions PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_other_prbplt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_custom_labels PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_exceed PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_other_array PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_fit_params PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_loc_set PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_other_array PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_custom_labels PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_pltkwargs PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_other_array PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_lininterp PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_weibull PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_approx_med_unbiased PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_piecewise PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_cunnane PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_custom_labels PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_exceed PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_custom_labels PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_other_prbplt PASSED [ 24%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_fit_params PASSED [ 25%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_pltkwargs PASSED [ 25%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot PASSED [ 25%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_pltkwargs PASSED [ 25%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_other_array PASSED [ 25%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_pltkwargs PASSED [ 25%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_other_prbplt PASSED [ 25%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot PASSED [ 25%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_custom_labels PASSED [ 25%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_other_array PASSED [ 25%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_other_array PASSED [ 25%] statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_other_prbplt PASSED [ 25%] statsmodels/distributions/tests/test_bernstein.py::test_bernstein_distribution_2d PASSED [ 25%] statsmodels/distributions/tests/test_bernstein.py::test_bernstein_distribution_1d PASSED [ 25%] statsmodels/distributions/tests/test_bernstein.py::TestBernsteinBeta2dd::test_rvs PASSED [ 25%] statsmodels/distributions/tests/test_bernstein.py::TestBernsteinBeta2dd::test_basic PASSED [ 25%] statsmodels/distributions/tests/test_bernstein.py::TestBernsteinBeta2d::test_rvs PASSED [ 25%] statsmodels/distributions/tests/test_bernstein.py::TestBernsteinBeta2d::test_basic PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestDiscretizedBurr12::test_basic PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::test_discretized_count_rvs_rng_types[randomstate] PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::test_discretized_count_rvs_reproducible PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::test_discretized_count_rvs_rng_types[int] PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::test_discretized_count_rvs_rng_types[generator] PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::test_discretized_count_rvs_rng_types[none] PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestDiscretizedLomax::test_basic PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestDiscretizedExponential::test_basic PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_mean_var PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_pmf PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_moments_p2 PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_moments PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_mran_var_p2 PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_ppf_p2 PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_cdf_p2 PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_logpmf_p2 PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_ppf PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_convert PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_logpmf PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_pmf_p2 PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_cdf PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestTruncatedNBP::test_pmf PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestTruncatedNBP::test_logpmf PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestTruncatedNBP::test_pmf_zero PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestTruncatedNBP::test_logpmf_zero PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestGeometric::test_all PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZIGeneralizedPoisson::test_logpmf PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZIGeneralizedPoisson::test_pmf PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZIGeneralizedPoisson::test_pmf_zero PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZIGeneralizedPoisson::test_mean_var PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZIGeneralizedPoisson::test_logpmf_zero PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestDiscretizedGamma::test_basic PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestDiscretizedGammaEx::test_all PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestTruncatedPoisson::test_logpmf PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestTruncatedPoisson::test_pmf_zero PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestTruncatedPoisson::test_pmf PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestTruncatedPoisson::test_logpmf_zero PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestGenpoisson_p::test_logpmf_p2 PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestGenpoisson_p::test_pmf_p5 PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestGenpoisson_p::test_pmf_p1 PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestGenpoisson_p::test_logpmf_p1 PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestGenpoisson_p::test_pmf_p2 PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZIPoisson::test_mean_var PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZIPoisson::test_logpmf_zero PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZIPoisson::test_moments PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZIPoisson::test_cdf_zero PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZIPoisson::test_pmf_zero PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZIPoisson::test_ppf_zero PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZIPoisson::test_pmf PASSED [ 25%] statsmodels/distributions/tests/test_discrete.py::TestZIPoisson::test_logpmf PASSED [ 25%] statsmodels/multivariate/tests/test_manova.py::test_manova_sas_example PASSED [ 25%] statsmodels/multivariate/tests/test_manova.py::test_manova_no_formula_no_hypothesis PASSED [ 25%] statsmodels/multivariate/tests/test_manova.py::test_manova_demeaned PASSED [ 25%] statsmodels/multivariate/tests/test_manova.py::test_manova_test_input_validation PASSED [ 25%] statsmodels/multivariate/tests/test_manova.py::test_endog_1D_array PASSED [ 25%] statsmodels/multivariate/tests/test_manova.py::test_manova_no_formula PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_pacf_ols PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_vech PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_elimination_matrix PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_ywcoef PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_pacf_yw PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_acf PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_ccf PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_commutation_matrix PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_vec PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_duplication_matrix PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_yule_walker_inter PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_ar_transparams PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected4] PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected5] PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected7] PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected6] PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected3] PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected2] PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected0] PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected1] PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected8] PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected9] PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::test_grangercausality PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestDetrend::test_detrend_1d PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestDetrend::test_detrend_2d PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestDetrend::test_detrend_dim_too_large PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestDetrend::test_detrend_series PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestDetrend::test_detrend_dataframe PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat2DS::test_lagmat2ds_use_pandas PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat2DS::test_lagmat2ds_numpy PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat2DS::test_lagmat2ds_pandas PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat2DS::test_3d_error PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_unknown_trim PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_lagmat_0[sep] PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_dataframe_both PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag1d_drop PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_sep_return_result_object_true PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_lagmat_array_equiv PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_sep_return_default_is_result_object PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_lagmat_0[ex] PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag1d PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_lagmat_0[in] PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_noinsert PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_pandas_errors PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_series_forward PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_non_sep_original_never_warns PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_noinsertatend_ndarray PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag1d_struct PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_too_few_observations PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_sep_return PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_lagmat_array_dropped PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_dataframe_forward PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_1d_drop_struct PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_series_both PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_noinsert_atend PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_ndarray PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_duplicate_column_names PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_range_index_columns PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_noinsert_ndarray PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_lagmat_array_exception PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_dataframe_without_pandas PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_drop_noinsert PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_drop_insert PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_insert PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_array PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_trend_n PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_unknown_trend PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_dataframe PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_duplicate_const PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_series PASSED [ 25%] statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_dataframe_duplicate PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_empty_rows[categorical] PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_empty_columns PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[mode] PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_large_ntop PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[jarque_bera] PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_sign_test PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_use_t PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_empty_rows[mixed] PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_categorical_ntop_freq_length PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_describe PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_empty_rows[numeric] PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_odd_percentiles PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_sign_test_no_observation_differs_from_mu0 PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[top] PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_description_exceptions PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[ci] PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_extension_types PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[freq] PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_std_err PASSED [ 25%] statsmodels/stats/tests/test_descriptivestats.py::test_description_basic PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_alternative_deprecated_alias[d-decreasing] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_alternative_deprecated_alias[2-two-sided] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_alternative[decreasing-0.024390243902439025-0.9761904761904762] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_subset_length[2-41-0.047619047619047616] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_one_sided_alternatives_are_complementary[unbalanced] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_unbalanced_degrees_of_freedom[decreasing-True] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_alternative_deprecated_alias[i-increasing] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_one_sided_alternatives_are_complementary[balanced] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_subset_length[0.5-10-0.09048484886749095] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_unbalanced_degrees_of_freedom[increasing-True] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_alternative[increasing-41-0.023809523809523808] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_unbalanced_degrees_of_freedom[decreasing-False] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_alternative[two-sided-41-0.047619047619047616] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_2d_input_with_missing_values PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_unbalanced_degrees_of_freedom[two-sided-True] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_unbalanced_degrees_of_freedom[two-sided-False] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_1d_input PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_unbalanced_degrees_of_freedom[increasing-False] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_use_chi2 PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_adfuller_resid_variance_zero[x0] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_coint_perfect_collinearity PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_coint_identical_series PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_coint PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[False-True-True] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-False-drop] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-True-raise] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_pacf_burg PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_innovations_filter_errors PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-True-False-conservative] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_innovations_filter_pandas PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_diebold_mariano_equiv PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-False-True-drop] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-False-False-drop] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_pacf2acf_levinson_durbin PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_diebold_mariano_exceptions PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-True-drop] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_pandasacovf PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-True-True-conservative] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_innovations_algo_filter_kalman_filter PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-True-True-conservative] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_innovations_algo_brockwell_davis PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_adfuller_result_object_true_returns_result_object PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-True-conservative] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-False-False-drop] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-False-none] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_ccovf_fft_vs_convolution[True-False] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-True-True-drop] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-False-True-drop] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-True-drop] PASSED [ 25%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-True-none] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_adfuller_result_object_false_silences_warning PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-False-none] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-True-drop] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-True-False-conservative] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acf_fft_dataframe PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_fft_vs_convolution[False-False] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_error PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-False-conservative] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-False-drop] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-True-raise] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-False-raise] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_levinson_durbin_acov PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_adfuller_short_series PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[False-False-False] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_ccovf_fft_vs_convolution[False-True] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-True-conservative] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_ccf_different_lengths PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_ccovf_fft_vs_convolution[True-True] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[True-False-True] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_ccovf_fft_vs_convolution[False-False] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-False-True-conservative] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_fft_vs_convolution[False-True] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_ccovf_different_lengths_known_lag PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_ccovf_adjusted_shorter_y[False] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-False-False-conservative] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-True-raise] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-True-False-drop] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf2d PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-True-none] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-False-raise] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-False-drop] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_ccovf_different_lengths[False-True] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_adfuller_result_object_true_with_store PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_ccovf_different_lengths[False-False] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-True-True-drop] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[False-True-False] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-False-conservative] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_diebold_mariano_callable_smoke PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_ccovf_different_lengths[True-True] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-False-False-conservative] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_pacf2acf_ar PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-True-False-drop] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-False-none] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[True-False-False] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_arma_order_select_ic_failure PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_fft_vs_convolution[True-False] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_innovations_filter_brockwell_davis PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_fft_vs_convolution[True-True] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-True-none] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_adfuller_maxlag_too_large PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_pacf2acf_errors PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[True-True-False] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-True-conservative] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-True-conservative] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-False-True-conservative] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_ccovf_different_lengths[True-False] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_arma_order_select_ic PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-False-conservative] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-False-none] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_innovations_errors PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_ccovf_adjusted_shorter_y[True] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_pacf_burg_error PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_diebold_mariano_test PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[True-True-True] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-True-none] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-True-drop] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_adfuller_result_object_default_warns PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_adfuller_result_object_matches_legacy_values PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_diebold_mariano_harvey_adj PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-False-drop] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-False-conservative] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-False-raise] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-False-raise] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[False-False-True] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_adfuller_result_object_true_without_autolag PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_innovations_algo_rtol PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-True-raise] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_pacf_nlags_error PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_pacf_1_obs PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_pacf_small_sample[3] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_zivot_andrews_change_data PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_pacf_small_sample[5] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_pacf_small_sample[7] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acf_conservate_nanops PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_granger_causality_exception_maxlag PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_granger_causality_exceptions[dataset2] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_granger_causality_exceptions[dataset3] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_granger_causality_exceptions[dataset1] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_coint_auto_tstat PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_pacf_small_sample[9] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_granger_causality_exceptions[dataset0] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_acovf_all_missing PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::test_stattools_fixed_arity_result_objects PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_fail_trim_value PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_autolag_case_sensitivity[Aic] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_fail_regression_type PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_stkprc_case PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_fail_array_shape PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_gnpdef_case PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_rgnp_case PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_rgnpq_case PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_autolag_case_sensitivity[AIC] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_fail_autolag_type PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_autolag_case_sensitivity[aic] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_rand10000_case PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend::test_critvalues PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend::test_pvalue PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend::test_teststat PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestGrangerCausality::test_grangercausality_single PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestGrangerCausality::test_granger_fails_on_finite_check PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestGrangerCausality::test_grangercausality PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestGrangerCausality::test_granger_fails_on_nobs_check PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestGrangerCausality::test_granger_fails_on_zero_lag PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestBlockJackknife::test_hand_computed PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestBlockJackknife::test_mean_closed_form PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestBlockJackknife::test_acf_runs PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestBlockJackknife::test_invalid_n_blocks PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestBlockJackknife::test_non_callable_statistic PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACF_FFT::test_acf PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACF_FFT::test_qstat PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_independent_series PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_asymmetry PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_confint PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_pccf_statistical_properties PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_constant_series[ywm] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_no_alpha_never_warns PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_method_parameter_validation PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_yw_method_aliases PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_var1_pccf_cutoff PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_pccf PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_alpha_result_object_true PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_yw_ols_agreement_stationary PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_confint_widths PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_default_nlags PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_inf_input_raises PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_ols_underdetermined_returns_nan PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_pccf_parameter_validation PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_pccf_edge_cases PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_return_consistency PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_constant_series[ols] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_nan_fallback_large_lag PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_yw_analytical_var1 PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_constant_series[yw] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_yw_singular_intermediate_recursion_returns_nan PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_alpha_default_returns_result_object PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_nan_input_raises PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPCCF::test_pccf_hand_computed PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPACF::test_ols PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPACF::test_alpha_result_object_true PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPACF::test_yw_singular PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPACF::test_no_alpha_never_warns PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPACF::test_burg PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPACF::test_alpha_default_returns_result_object PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPACF::test_ld PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPACF::test_yw PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestPACF::test_ols_inefficient PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant2::test_pvalue PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant2::test_critvalues PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant2::test_store_str PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant2::test_teststat PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestCoint_t::test_tstat PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_drop_all[drop] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_raise PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_confint_conservative PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_qstat_none PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_qstat_drop PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_acf_conservative PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_drop_all[conservative] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_acf_none PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_acf_drop PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_qstat_conservative PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_confint_drop PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestCCF::test_alpha_result_object_true PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestCCF::test_alpha_default_returns_result_object PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestCCF::test_no_alpha_never_warns PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestCCF::test_ccf PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestCCF::test_confint PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACF::test_default_warns PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACF::test_result_object_true_always_four_fields[0.05-True] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACF::test_confint PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACF::test_qstat PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACF::test_result_object_true_always_four_fields[None-True] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACF::test_legacy_unpacking_preserved[kwargs0-2] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACF::test_result_object_true_always_four_fields[None-False] SKIPPED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACF::test_no_qstat_no_alpha_never_warns PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACF::test_legacy_unpacking_preserved[kwargs2-4] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACF::test_result_object_true_always_four_fields[0.05-False] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACF::test_acf PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACF::test_result_object_true PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACF::test_only_full_request_adopts_result_object_silently PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestACF::test_legacy_unpacking_preserved[kwargs1-3] PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_unknown_lags PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_result_object_true_with_store PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_pval PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_teststat PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_fail_invalid_nlags_string PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_none PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_fail_unclear_hypothesis PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_legacy_lags PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_kpss_fails_on_nobs_check PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_store PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_result_object_default_warns PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_kpss_autolags_does_not_assign_lags_equal_to_nobs PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_result_object_true_returns_result_object PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_lags PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_fail_nonvector_input PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_result_object_false_silences_warning PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant::test_teststat PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant::test_pvalue PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant::test_critvalues PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestADFConstant2::test_pvalue PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestADFConstant2::test_teststat PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestADFConstant2::test_critvalues PASSED [ 26%] statsmodels/tsa/tests/test_stattools.py::TestRUR::test_pval PASSED [ 27%] statsmodels/tsa/tests/test_stattools.py::TestRUR::test_store PASSED [ 27%] statsmodels/tsa/tests/test_stattools.py::TestRUR::test_result_object_true_with_store PASSED [ 27%] statsmodels/tsa/tests/test_stattools.py::TestRUR::test_teststat PASSED [ 27%] statsmodels/tsa/tests/test_stattools.py::TestRUR::test_fail_nonvector_input PASSED [ 27%] statsmodels/tsa/tests/test_stattools.py::TestRUR::test_result_object_true_returns_result_object PASSED [ 27%] statsmodels/tsa/tests/test_stattools.py::TestLeybourneMcCabe::test_dbaa_results PASSED [ 27%] statsmodels/tsa/tests/test_stattools.py::TestLeybourneMcCabe::test_fail_inputs PASSED [ 27%] statsmodels/tsa/tests/test_stattools.py::TestLeybourneMcCabe::test_dun_results_arima XFAIL [ 27%] statsmodels/tsa/tests/test_stattools.py::TestLeybourneMcCabe::test_lm_whitenoise PASSED [ 27%] statsmodels/tsa/tests/test_stattools.py::TestLeybourneMcCabe::test_baa_results PASSED [ 27%] statsmodels/tsa/tests/test_stattools.py::TestLeybourneMcCabe::test_sp500_results PASSED [ 27%] statsmodels/tsa/tests/test_stattools.py::TestLeybourneMcCabe::test_dun_results PASSED [ 27%] statsmodels/tsa/tests/test_stattools.py::TestLeybourneMcCabe::test_un_results PASSED [ 27%] statsmodels/tsa/tests/test_stattools.py::TestLeybourneMcCabe::test_un_results_arima XFAIL [ 27%] statsmodels/tsa/tests/test_stattools.py::TestLeybourneMcCabe::test_dsp500_results PASSED [ 27%] statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend2::test_critvalues PASSED [ 27%] statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend2::test_pvalue PASSED [ 27%] statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend2::test_teststat PASSED [ 27%] statsmodels/tsa/tests/test_stattools.py::TestADFConstant::test_critvalues PASSED [ 27%] statsmodels/tsa/tests/test_stattools.py::TestADFConstant::test_pvalue PASSED [ 27%] statsmodels/tsa/tests/test_stattools.py::TestADFConstant::test_teststat PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::test_nan_endog_exceptions PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::test_summary_after_remove_data PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::test_predict_which PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestLogitModelFormula::test_setup PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestLogitModel::test_formula PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestLogitModel::test_pandas PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestLogitModel::test_results_other PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestLogitModel::test_basic PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestLogitModel::test_postestimation PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestLogitModel::test_unordered PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestCLogLogModel::test_results_other PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestCLogLogModel::test_unordered PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestCLogLogModel::test_formula PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestCLogLogModel::test_pandas PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestCLogLogModel::test_basic PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestProbitModel::test_results_other PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestProbitModel::test_pandas PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestProbitModel::test_unordered PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestProbitModel::test_offset PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestProbitModel::test_formula_categorical PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestProbitModel::test_basic PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestProbitModel::test_loglikerelated PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestProbitModel::test_formula PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestProbitModel::test_formula_eval_env PASSED [ 27%] statsmodels/miscmodels/tests/test_ordinal_model.py::TestLogitBinary::test_attributes PASSED [ 27%] statsmodels/tsa/statespace/tests/test_options.py::test_conserve_memory PASSED [ 27%] statsmodels/tsa/statespace/tests/test_options.py::test_filter_methods PASSED [ 27%] statsmodels/tsa/statespace/tests/test_options.py::test_stability_methods PASSED [ 27%] statsmodels/tsa/statespace/tests/test_options.py::test_smoother_outputs PASSED [ 27%] statsmodels/tsa/statespace/tests/test_options.py::test_simulation_outputs PASSED [ 27%] statsmodels/tsa/statespace/tests/test_options.py::test_inversion_methods PASSED [ 27%] statsmodels/iolib/tests/test_table.py::test_csv2st_roundtrip PASSED [ 27%] statsmodels/iolib/tests/test_table.py::test_simple_table_pad PASSED [ 27%] statsmodels/iolib/tests/test_table.py::test_csv2st_mismatched_row_lengths_raises PASSED [ 27%] statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_simple_table_special_chars PASSED [ 27%] statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_simple_table_3 PASSED [ 27%] statsmodels/iolib/tests/test_table.py::TestSimpleTable::test__repr_latex PASSED [ 27%] statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_simple_table_2 PASSED [ 27%] statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_simple_table_4 PASSED [ 27%] statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_regression_with_tuples PASSED [ 27%] statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_default_alignment PASSED [ 27%] statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_simple_table_1 PASSED [ 27%] statsmodels/tsa/tests/test_adfvalues.py::test_mackinnonp_valid_regression[ctt] PASSED [ 27%] statsmodels/tsa/tests/test_adfvalues.py::test_mackinnoncrit_valid_regression[ctt] PASSED [ 27%] statsmodels/tsa/tests/test_adfvalues.py::test_mackinnoncrit_valid_regression[ct] PASSED [ 27%] statsmodels/tsa/tests/test_adfvalues.py::test_mackinnonp_valid_regression[ct] PASSED [ 27%] statsmodels/tsa/tests/test_adfvalues.py::test_mackinnoncrit_valid_regression[c] PASSED [ 27%] statsmodels/tsa/tests/test_adfvalues.py::test_mackinnonp_valid_regression[n] PASSED [ 27%] statsmodels/tsa/tests/test_adfvalues.py::test_mackinnonp_valid_regression[c] PASSED [ 27%] statsmodels/tsa/tests/test_adfvalues.py::test_mackinnoncrit_valid_regression[n] PASSED [ 27%] statsmodels/tsa/tests/test_adfvalues.py::test_mackinnoncrit_invalid_regression_raises PASSED [ 27%] statsmodels/tsa/tests/test_adfvalues.py::test_mackinnonp_invalid_regression_raises PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_formula_environment PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam2] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam0] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct2] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam1] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct0] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam1] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct1] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam0] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam2] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_summary_after_remove_data PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam1] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam1] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam0] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam2] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam0] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam2] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam2] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam0] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam2] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam0] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam1] PASSED [ 27%] statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam1] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-True-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-True-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-True-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-False-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-False-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-False-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-True-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-True-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-True-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-True-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-False-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-False-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-False-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-True-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-True-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-True-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-True-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-False-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-False-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-False-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-True-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-True-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-True-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-True-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-False-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-False-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-False-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-True-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-True-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-True-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-True-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-False-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-False-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-False-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-True-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-True-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-True-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-True-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-False-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-False-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-False-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-True-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-True-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-True-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-True-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-False-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-False-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-False-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-True-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-True-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-True-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-True-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-False-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-False-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-False-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-True-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-True-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-True-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-True-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-False-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-False-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-False-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-True-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-True-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-True-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-True-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-False-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-False-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-False-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-True-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-True-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-True-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-True-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-False-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-False-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-False-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-True-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-True-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-True-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-True-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-False-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-False-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-False-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-True-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-True-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-True-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-True-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-False-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-False-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-False-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-True-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-True-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-True-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-True-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-False-True-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-False-True-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-False-False-None] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-False-False-10] PASSED [ 27%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-True-True-None] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-True-True-10] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-True-False-None] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-True-False-10] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-False-True-None] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-False-True-10] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-False-False-None] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-False-False-10] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-True-True-None] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-True-True-10] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-True-False-None] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-True-False-10] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-False-True-None] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-False-True-10] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-False-False-None] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-False-False-10] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-True-True-None] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-True-True-10] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-True-False-None] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-True-False-10] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-False-True-None] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-False-True-10] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-True-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-True-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-True-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-True-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-True-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-True-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-True-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-True-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-False-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-False-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-False-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-False-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-False-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-False-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-False-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-False-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-True-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-True-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-True-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-True-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-True-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-True-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-True-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-True-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-False-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-False-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-False-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-False-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-False-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-False-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-False-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-False-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-True-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-True-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-True-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-True-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-True-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-True-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-True-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-True-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-False-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-False-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-False-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-False-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-False-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-False-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-False-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-False-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-True-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-True-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-True-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-True-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-True-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-True-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-True-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-True-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-False-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-False-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-False-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-False-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-False-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-False-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-False-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-False-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-True-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-True-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-True-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-True-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-True-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-True-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-True-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-True-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-True-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-True-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-True-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-True-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-True-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-True-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-True-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-True-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-False-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-False-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-False-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-False-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-False-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-False-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-False-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-False-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-2-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-2-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-2-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-2-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-None-False-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-None-False-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-None-True-True] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-None-True-False] PASSED [ 28%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-True-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-True-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-True-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-True-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-True-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-True-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-True-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-True-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-False-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-False-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-False-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-False-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-False-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-False-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-False-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-False-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-True-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-True-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-True-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-True-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-True-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-True-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-True-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-True-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-False-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-False-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-False-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-False-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-False-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-False-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-False-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-False-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-True-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-True-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-True-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-True-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-True-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-True-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-True-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-True-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-True-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-True-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-True-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-True-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-True-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-True-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-True-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-True-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-None-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-None-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-None-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-2-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-2-False-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-2-True-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-2-True-False] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-None-False-True] PASSED [ 29%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-True-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-True-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-True-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-True-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-True-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-True-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-True-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-True-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-False-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-False-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-False-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-False-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-False-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-False-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-False-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-False-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-True-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-True-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-True-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-True-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-True-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-True-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-True-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-True-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-False-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-False-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-False-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-False-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-False-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-False-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-False-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-False-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-False-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-False-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-False-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-False-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-False-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-False-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-False-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-False-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-False-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-False-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-False-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-False-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-False-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-False-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-False-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-False-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-True-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-True-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-True-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-True-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-True-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-True-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-True-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-True-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-False-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-False-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-False-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-False-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-False-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-False-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-False-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-False-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-False-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-False-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-False-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-False-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-False-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-False-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-False-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-False-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-False-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-False-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-False-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-False-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-False-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-False-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-False-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-False-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-True-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-True-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-True-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-True-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-True-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-True-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-True-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-True-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-False-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-False-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-False-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-False-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-False-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-False-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-False-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-False-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-2-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-None-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-None-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-None-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-None-True-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-False-2-False-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-False-2-False-False] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-False-2-True-True] PASSED [ 30%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-False-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-False-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-False-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-False-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-False-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-True-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-True-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-True-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-True-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-True-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-True-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-True-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-True-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-False-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-False-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-False-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-False-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-False-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-False-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-False-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-False-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-True-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-True-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-True-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-True-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-True-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-True-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-True-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-True-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-True-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-True-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-True-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-True-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-True-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-True-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-True-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-True-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-False-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-False-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-False-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-False-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-False-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-False-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-False-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-False-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-True-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-True-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-True-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-True-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-True-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-True-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-True-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-True-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-False-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-False-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-False-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-False-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-False-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-False-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-False-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-False-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-False-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-False-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-False-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-False-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-False-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-False-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-False-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-False-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-True-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-True-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-True-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-True-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-True-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-True-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-True-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-True-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-False-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-False-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-False-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-False-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-False-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-False-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-False-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-False-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-False-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-False-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-False-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-False-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-False-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-False-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-False-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-False-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-True-2-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-True-2-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-True-None-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-True-None-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-False-2-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-False-2-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-False-None-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-False-None-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-True-2-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-True-2-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-True-None-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-True-None-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-False-2-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-False-2-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-False-None-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-False-None-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-True-2-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-True-2-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-None-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-None-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-None-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-True-None-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-None-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-True-None-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-2-False-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-2-False-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-2-True-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-False-2-True] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-2-True-False] PASSED [ 31%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-False-2-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-None-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-None-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-None-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-False-None-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-None-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-False-None-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-2-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-2-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-2-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-True-2-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-2-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-True-2-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-None-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-None-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-None-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-True-None-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-None-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-True-None-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-2-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-2-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-2-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-False-2-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-2-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-False-2-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-None-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-None-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-None-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-False-None-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-None-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-False-None-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-2-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-2-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-2-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-True-2-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-2-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-True-2-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-None-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-None-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-None-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-True-None-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-None-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-True-None-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-2-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-2-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-2-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-False-2-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-2-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-False-2-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-None-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-None-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-None-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-False-None-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-None-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-False-None-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-2-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-2-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-2-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-True-2-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-2-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-True-2-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-None-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-None-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-None-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-True-None-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-None-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-True-None-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-2-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-2-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-2-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-False-2-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-2-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-False-2-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-None-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-None-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-None-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-False-None-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-None-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-False-None-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-2-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-2-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-2-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-True-2-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-2-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-True-2-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-None-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-None-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-None-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-True-None-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-None-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-True-None-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-2-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-2-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-2-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-False-2-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-2-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-False-2-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-None-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-None-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-None-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-False-None-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-None-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-False-None-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-2-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-2-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-2-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-True-2-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-2-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-True-2-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-None-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-None-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-None-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-True-None-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-None-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-True-None-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-2-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-2-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-2-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-False-2-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-2-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-False-2-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-None-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-None-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-None-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-False-None-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-None-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-False-None-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-2-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-2-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-2-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-True-2-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-2-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-True-2-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-None-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-None-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-None-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-True-None-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-None-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-True-None-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-2-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-2-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-2-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-False-2-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-2-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-False-2-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-None-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-None-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-None-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-False-None-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-None-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-False-None-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-2-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-2-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-2-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-True-2-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-2-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-True-2-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-None-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-None-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-None-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-True-None-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-None-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-True-None-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-2-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-2-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-2-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-False-2-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-2-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-False-2-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-None-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-None-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-None-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-False-None-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-None-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-False-None-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-2-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-2-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-2-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-True-2-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-2-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-True-2-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-None-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-None-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-None-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-True-None-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-None-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-True-None-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-2-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-2-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-2-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-False-2-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-2-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-False-2-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-None-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-None-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-None-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-False-None-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-None-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-False-None-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-2-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-2-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-2-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-True-2-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-2-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-True-2-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-None-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-None-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-None-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-True-None-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-None-True-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-True-None-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-2-False-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-2-False-False] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-2-True-True] PASSED [ 32%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-False-2-True] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-2-True-False] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-False-2-False] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-None-False-True] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-None-False-False] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-None-True-True] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-False-None-True] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-None-True-False] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-False-None-False] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-False-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-False-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-False-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-None-0] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-20-4] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-20-2] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-20-0] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-None-2] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-20-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-20-4] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-20-2] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-None-4] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-20-0] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-None-4] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-20-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-None-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-None-0] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-None-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-None-2] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg[c-True] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-20-4] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg[c-False] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-None-4] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-None-0] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-20-2] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-None-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-20-0] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-None-2] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-None-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-None-0] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-20-2] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-None-2] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-20-0] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-20-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-20-4] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-20-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-None-4] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-False-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-False-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-False-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-False-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-False-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-False-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-False-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-False-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-False-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-False-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-False-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-False-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-False-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-False-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-False-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-True-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-False-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-False-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-False-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-False-False-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-True-True-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-True-True-10] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-True-False-None] PASSED [ 33%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-True-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-False-True-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-False-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-False-False-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-False-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-True-True-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-True-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-True-False-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-True-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-False-True-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-False-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-False-False-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-False-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-True-True-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-True-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-True-False-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-True-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-False-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-False-False-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-False-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-True-True-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-True-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-True-False-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-True-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-False-True-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-False-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-False-False-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-False-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-True-True-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-True-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-True-False-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-True-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-False-True-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-False-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-False-False-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-False-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-True-True-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-True-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-True-False-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-True-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-False-True-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-False-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-False-False-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-False-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-True-True-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-True-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg[ct-True] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-None-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-None-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-None-0] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-None-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-None-4] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-20-0] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-None-4] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-20-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-20-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-20-4] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-None-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-20-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-20-0] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-20-4] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-20-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-None-0] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-True-False-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-True-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-None-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-None-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-None-0] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-20-0] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-20-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg[ct-False] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-20-4] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-None-0] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-None-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-20-0] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-20-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-None-4] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-20-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-None-4] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-20-4] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-20-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-None-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-False-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-False-False-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-False-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-True-True-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-True-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-True-False-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-True-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-False-True-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-False-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-False-False-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-False-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-True-True-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-True-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-True-False-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-True-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-False-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-False-False-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-False-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_exceptions[2-False] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-True-True-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-True-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-True-False-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-True-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_exceptions[2-True] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_replacements[2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-False-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-False-False-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-False-False-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_exceptions[None-False] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-True-True-10] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-True-20-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-None-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-None-0] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-True-None-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-None-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-True-20-0] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-20-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-True-20-4] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-None-4] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-True-20-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-20-0] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-True-None-4] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg[n-True] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-20-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-True-None-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-20-4] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-True-None-0] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-None-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-None-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-None-0] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-None-4] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-20-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg[n-False] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-None-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-20-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-20-0] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-20-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-20-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-20-0] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-None-0] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-20-4] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-None-4] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-20-4] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-None-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_exceptions[None-True] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_replacements[None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_resids_ardl_uecm PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_trend_ctt[False-2-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_no_exog PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_errors PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_uecm_summary_after_remove_data[True-3-UECM] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_append_matches_apply PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_smoke_plots[True-c] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_order_exceptions PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_rng[rng4] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_trend_ctt[True-None-1] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_only_trend PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_from_ardl_none PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_trend_ctt[False-None-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_parameter_names PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_deterministic_exceptions PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_trend_ctt[False-1-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_trend_ctt[True-None-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_uecm_summary_after_remove_data[True-0-UECM] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_order_keys_exceptions PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_trend_ctt[True-None-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_smoke_plots[True-ct] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_trend_ctt[False-None-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_uecm_summary_after_remove_data[True-3-ARDL] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_apply_wrong_number_of_exog_columns_raises PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_trend_ctt[True-1-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_trend_ctt[False-1-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_resid PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_invalid_init PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_rng[rng3] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_oos_no_new_data PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_trend_ctt[False-2-2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_wrong_shape PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_no_regressors PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_trend_ctt[False-1-1] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_rng[None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_rng[rng1] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_trend_ctt[False-None-1] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order_invalid_ic_raises PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_smoke_plots[False-ct] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_no_endog_exog PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_only_x PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_uecm_summary_after_remove_data[True-0-ARDL] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_apply_refit_reestimates_params PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_smoke_plots[False-n] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_trend_ctt[True-2-None] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_trend_ctt[False-2-1] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_apply_no_exog_roundtrip PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_uecm_summary_after_remove_data[False-0-UECM] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_simulation[4] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_ci_repr[False-True] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test[1] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_insuficient_oos PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_apply_design_matrix_matches_fresh_fit PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_diagnostics_plot PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_wrong_shape_fixed PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_simulation[5] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_apply_forecast_matches_ardl_order PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test[2] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_only_y_lag PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_get_prediction PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_uecm_summary_after_remove_data[False-3-UECM] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_only_deterministic PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_ci_repr[False-False] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_smoke_plots[True-n] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test[3] PASSED [ 34%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_smoke_plots[False-c] PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_simulate_order PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_ci_repr[True-True] PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_uecm_summary_after_remove_data[False-0-ARDL] PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_trend_ctt[True-1-2] PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_ci_repr[True-False] PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_simulation[3] PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_apply_unexpected_exog_raises PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_simulation[2] PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_trend_ctt[True-2-2] PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_only_seasonal PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_apply_missing_exog_raises PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_rng[0] PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test[5] PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_trend_ctt[True-1-1] PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_holdback_exceptions PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_uecm_summary_after_remove_data[False-3-ARDL] PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test[4] PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_insuficient_data PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_forecast_date PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_fixed_exceptions PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_simulation[1] PASSED [ 35%] statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_trend_ctt[True-2-1] PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_standarderrors PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_loglike PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_resids PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_pvalues PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_rsquared PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_scale PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_mse_resid PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_mse_model PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_degrees PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_mse_total PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_aic PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_bic PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_norm_resids PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_wresid PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_params PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_confidenceintervals PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_fvalue PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_rsquared_adj PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_sumof_squaredresids PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestRTO::test_ess PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_wls_tss PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_wls_example PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_wls_missing PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_yule_walker_result_object_default_warns PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_yule_walker_result_object_true PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_const_indicator PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_conf_int_single_regressor PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_bad_size PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_fvalue_const_only PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_summary_as_latex PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_summary_after_remove_data[GLS] PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_summary_no_constant PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_hessian_factor_gls_full_sigma_raises PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_regularized_predict PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_slim_summary PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_ols_wls_fixed_scale PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_conf_int_el_matches_own_critical_value_and_shrinks PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_missing_formula_predict PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_bool_regressor PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_regularized_options PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_fit_invalid_method_raises PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_hessian_factor_gls_wls_matches_numerical_hessian PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_fvalue_only_constant PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_ols_constant PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_regularized_refit PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_ridge PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_burg_errors PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_condition_number_nonpositive_eigval PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_burg PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_sqrt_lasso SKIPPED [ 35%] statsmodels/regression/tests/test_regression.py::test_condition_number PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_formula_missing_cat PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_fvalue_implicit_constant PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_summary_after_remove_data[OLS] PASSED [ 35%] statsmodels/regression/tests/test_regression.py::test_slim_summary_skips_diagnostics PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_degrees PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_scale PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_resids PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_rsquared PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_pvalues PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_loglike PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_mse_resid PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_ess PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_mse_model PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_mse_total PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_norm_resids PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_standarderrors PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_confidenceintervals PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_sumof_squaredresids PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_fvalue PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_rsquared_adj PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_wresid PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_aic PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_bic PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_params PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestGLS_WLS_equivalence::test_bse PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestGLS_WLS_equivalence::test_rsquared PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestGLS_WLS_equivalence::test_ll PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestGLS_WLS_equivalence::test_params PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestFTest2::test_new_ftest PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestFTest2::test_pvalue PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestFTest2::test_df_denom PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestFTest2::test_fvalue PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestFTest2::test_df_num PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestFtestQ::test_df_num PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestFtestQ::test_fvalue PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestFtestQ::test_df_denom PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestFtestQ::test_pvalue PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_rsquared_adj PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_sumof_squaredresids PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_confidenceintervals PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_mse_resid PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_norm_resids PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_loglike PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_mse_model PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_standarderrors PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_mse_total PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_fvalue PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_bic PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_aic PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_degrees PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_pvalues PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_wresid PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_params PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_resids PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_scale PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_ess PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_rsquared PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_pvalues PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_norm_resids PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_degrees PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_resids PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_loglike PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_rsquared_adj PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_aic PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_bic PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_sumof_squaredresids PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_rsquared PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_wresid PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_mse_resid PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_params PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_confidenceintervals PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_scale PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_mse_model PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_fvalue PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_mse_total PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_standarderrors PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_ess PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_mse_model PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_scale PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_rsquared_adj PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_pvalues PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_mse_total PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_standarderrors PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_degrees PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_mse_resid PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_resids PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_ess PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_loglike PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_norm_resids PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_fvalue PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_sumof_squaredresids PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_params PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_wresid PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_bic PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_aic PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_rsquared PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_confidenceintervals PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestCompareAndElTestNamedTuple::test_el_test_result_object_default_warns PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestCompareAndElTestNamedTuple::test_compare_lr_test_returns_namedtuple PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestCompareAndElTestNamedTuple::test_el_test_invalid_method_raises PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestCompareAndElTestNamedTuple::test_el_test_result_object_true_nuisance PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestCompareAndElTestNamedTuple::test_el_test_result_object_true_full PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_standarderrors PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_norm_resids PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_norm_resid PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_rsquared PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_aic PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_bic PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_HC0_errors PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_sumof_squaredresids PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_norm_resid_zero_variance PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_rsquared_adj_overfit PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_confidenceintervals PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_eigenvalues PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_resids PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_HC2_errors PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_qr_normalized_cov_params PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_ess PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_scale PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_fvalue PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_summary_slim PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_qr_params PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_loglike PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_HC3_errors PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_params PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_wresid PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_rsquared_adj PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_mse_resid PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_pvalues PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_qr_alternatives PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_missing PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_degrees PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_mse_total PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_HC1_errors PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestOLS::test_mse_model PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_confidenceintervals PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_wresid PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_params PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_aic PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_bic PASSED [ 35%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_sumof_squaredresids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_fvalue PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_scale PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_norm_resids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_mse_total PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_rsquared PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_loglike PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_mse_model PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_mse_resid PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_ess PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_resids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_standarderrors PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_degrees PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_rsquared_adj PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_pvalues PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNonFit::test_df_resid PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS::test_pvalues PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS::test_missing PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS::test_loglike PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS::test_scale PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS::test_resid PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS::test_bic PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS::test_aic PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS::test_tvalues PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS::test_params PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS::test_standarderrors PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS::test_fittedvalues PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestRegularizedFit::test_regularized PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestRegularizedFit::test_invalid_method_raises PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestRegularizedFit::test_empty_model PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestRegularizedFit::test_regularized_weights_list PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestRegularizedFit::test_regularized_weights PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestLM::test_LM_heteroskedastic_demean PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestLM::test_LM_nonnested PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestLM::test_LM_heteroskedastic_LRversion PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestLM::test_LM_heteroskedastic_nodemean PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestLM::test_LM_homoskedastic PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestOLS_GLS_WLS_equivalence::test_rsquared PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestOLS_GLS_WLS_equivalence::test_bse PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestOLS_GLS_WLS_equivalence::test_ll PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestOLS_GLS_WLS_equivalence::test_params PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_rsquared PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_sumof_squaredresids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_confidenceintervals PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_resids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_bic PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_aic PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_fvalue PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_mse_model PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_mse_total PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_loglike PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_wresid PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_mse_resid PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_params PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_ess PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_pvalues PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_degrees PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_standarderrors PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_norm_resids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_scale PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxNx::test_rsquared_adj PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestTtest2::test_df_denom PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestTtest2::test_pvalue PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestTtest2::test_effect PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestTtest2::test_tvalue PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestTtest2::test_sd PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_ess PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_loglike PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_norm_resids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_fvalue PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_scale PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_mse_total PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_pvalues PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_mse_model PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_degrees PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_mse_resid PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_sumof_squaredresids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_confidenceintervals PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_wresid PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_params PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_resids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_bic PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_aic PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_rsquared_adj PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_standarderrors PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_rsquared PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestFtest::test_Df_denom PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestFtest::test_p PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestFtest::test_Df_num PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestFtest::test_F PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_CornerCases::test_rank_deficient_warning PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_CornerCases::test_wrong_size_weights PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_CornerCases::test_whiten_wrong_ndim PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_resids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_norm_resids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_scale PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_large_equal_params_none PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_ess PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_rsquared_adj PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_aic PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_bic PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_large_equal_loglike PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_pvalues PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_sumof_squaredresids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_standarderrors PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_degrees PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_rsquared PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_confidenceintervals PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_large_equal_params PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_mse_total PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_params PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_wresid PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_mse_model PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_loglike PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_mse_resid PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_fvalue PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestTtest::test_new_tvalue PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestTtest::test_pvalue PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestTtest::test_sd PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestTtest::test_effect PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestTtest::test_tvalue PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestTtest::test_df_denom PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_standarderrors PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_norm_resids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_loglike PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_rsquared PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_aic PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_pvalues PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_resids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_bic PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_degrees PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_sumof_squaredresids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_confidenceintervals PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_mse_total PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_wresid PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_params PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_mse_model PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_mse_resid PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_fvalue PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_scale PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_rsquared_adj PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_ess PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_bic PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_aic PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_rsquared PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_resids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_norm_resids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_rsquared_adj PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_scale PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_degrees PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_mse_total PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_mse_model PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_ess PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_mse_resid PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_pvalues PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_fvalue PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_sumof_squaredresids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_loglike PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_standarderrors PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_confidenceintervals PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_wresid PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_params PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestYuleWalker::test_params PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_rsquared PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_norm_resids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_mse_total PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_sumof_squaredresids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_wrong_size_sigma_1d PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_mse_model PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_confidenceintervals PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_ess PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_mse_resid PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_wrong_size_sigma_2d PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_resids PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_loglike PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_fvalue PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_params PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_wresid PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_scale PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_rsquared_adj PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_degrees PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_pvalues PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_standarderrors PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_aic PASSED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_singular_sigma SKIPPED [ 36%] statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_bic PASSED [ 36%] statsmodels/tsa/base/tests/test_datetools.py::test_regex_matching_quarter PASSED [ 36%] statsmodels/tsa/base/tests/test_datetools.py::test_regex_matching_month PASSED [ 36%] statsmodels/tsa/base/tests/test_datetools.py::test_dates_from_range PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels[case1] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels[case0] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_vectorized[case0] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_vectorized[case1] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_weights[case0] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_weights[case1] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case6] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case0] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case0] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case1] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case7] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case1] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case3] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case5] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case3] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case4] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case2] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case2] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case7] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case7] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case1] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case6] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case0] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case6] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case4] PASSED [ 36%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case2] PASSED [ 37%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case4] PASSED [ 37%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case5] PASSED [ 37%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case5] PASSED [ 37%] statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case3] PASSED [ 37%] statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_predicted PASSED [ 37%] statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_params_table PASSED [ 37%] statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_glsar_arima PASSED [ 37%] statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_glsar_iter0 PASSED [ 37%] statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_rho PASSED [ 37%] statsmodels/tests/test_x13.py::test_make_var_names PASSED [ 37%] statsmodels/regression/tests/test_recursive_ls.py::test_estimates PASSED [ 37%] statsmodels/regression/tests/test_recursive_ls.py::test_resid_recursive PASSED [ 37%] statsmodels/regression/tests/test_recursive_ls.py::test_fix_params PASSED [ 37%] statsmodels/regression/tests/test_recursive_ls.py::test_summary_after_remove_data PASSED [ 37%] statsmodels/regression/tests/test_recursive_ls.py::test_glm[Constrained] PASSED [ 37%] statsmodels/regression/tests/test_recursive_ls.py::test_ols PASSED [ 37%] statsmodels/regression/tests/test_recursive_ls.py::test_endog PASSED [ 37%] statsmodels/regression/tests/test_recursive_ls.py::test_constraints_stata PASSED [ 37%] statsmodels/regression/tests/test_recursive_ls.py::test_multiple_constraints PASSED [ 37%] statsmodels/regression/tests/test_recursive_ls.py::test_cusum PASSED [ 37%] statsmodels/regression/tests/test_recursive_ls.py::test_plots PASSED [ 37%] statsmodels/regression/tests/test_recursive_ls.py::test_recursive_olsresiduals_bad_input PASSED [ 37%] statsmodels/regression/tests/test_recursive_ls.py::test_stata PASSED [ 37%] statsmodels/regression/tests/test_recursive_ls.py::test_from_formula PASSED [ 37%] statsmodels/regression/tests/test_recursive_ls.py::test_filter PASSED [ 37%] statsmodels/regression/tests/test_recursive_ls.py::test_glm[No constraint] PASSED [ 37%] statsmodels/distributions/tests/test_ecdf.py::TestDistributions::test_StepFunctionRepeatedValues PASSED [ 37%] statsmodels/distributions/tests/test_ecdf.py::TestDistributions::test_StepFunctionBadShape PASSED [ 37%] statsmodels/distributions/tests/test_ecdf.py::TestDistributions::test_monotone_fn_inverter PASSED [ 37%] statsmodels/distributions/tests/test_ecdf.py::TestDistributions::test_StepFunctionValueSideRight PASSED [ 37%] statsmodels/distributions/tests/test_ecdf.py::TestDistributions::test_ecdf_discrete PASSED [ 37%] statsmodels/distributions/tests/test_ecdf.py::TestDistributions::test_ecdf_data_modification PASSED [ 37%] statsmodels/distributions/tests/test_ecdf.py::TestDistributions::test_StepFunction PASSED [ 37%] statsmodels/regression/tests/test_tools.py::TestMinimalWLS::test_inf_nan[nan] PASSED [ 37%] statsmodels/regression/tests/test_tools.py::TestMinimalWLS::test_equivalence_with_wls[False] PASSED [ 37%] statsmodels/regression/tests/test_tools.py::TestMinimalWLS::test_inf_nan[inf] PASSED [ 37%] statsmodels/regression/tests/test_tools.py::TestMinimalWLS::test_equivalence_with_wls[True] PASSED [ 37%] statsmodels/imputation/tests/test_bayes_mi.py::test_2x2 PASSED [ 37%] statsmodels/imputation/tests/test_bayes_mi.py::test_MI PASSED [ 37%] statsmodels/imputation/tests/test_bayes_mi.py::test_mi_formula PASSED [ 37%] statsmodels/imputation/tests/test_bayes_mi.py::test_MI_stat PASSED [ 37%] statsmodels/imputation/tests/test_bayes_mi.py::test_pat PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::test_dfm_missing PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_using_collapsed PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_loglike PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_states_autocov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_simulation_smoothed_state_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_forecasts_error PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_predicted_state_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_states_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_filtered_state_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_state_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_simulation_smoothed_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_measurement_disturbance SKIPPED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_measurement_disturbance_cov SKIPPED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_simulation_smoothed_measurement_disturbance SKIPPED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_states PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_filtered_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_forecasts PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_predicted_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_state_disturbance_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_forecasts_error_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_states_autocov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_simulation_smoothed_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_simulation_smoothed_state_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_state_disturbance_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_forecasts PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_predicted_state_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_states_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_measurement_disturbance_cov SKIPPED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_predicted_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_state_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_loglike PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_states PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_filtered_state_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_simulation_smoothed_measurement_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_measurement_disturbance SKIPPED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_forecasts_error_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_forecasts_error PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_filtered_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_using_collapsed PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_states PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_states_autocov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smooth_method PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_predicted_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_measurement_disturbance SKIPPED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_simulation_smoothed_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_filtered_state_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_simulation_smoothed_state_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_forecasts PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_measurement_disturbance_cov SKIPPED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_forecasts_error_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_loglike PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_filtered_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_using_collapsed PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_states_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_forecasts_error PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_predicted_state_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_simulation_smoothed_measurement_disturbance SKIPPED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_forecasts PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_filtered_state_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_state_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_measurement_disturbance SKIPPED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_state_disturbance_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_states_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_states PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_predicted_state_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_predicted_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_filtered_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_states_autocov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_simulation_smoothed_measurement_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_measurement_disturbance_cov SKIPPED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_forecasts_error_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_simulation_smoothed_state_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_using_collapsed PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_simulation_smoothed_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_loglike PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_forecasts_error PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_measurement_disturbance SKIPPED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_using_alterate PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_states PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_forecasts_error_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_predicted_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_filtered_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_state_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_forecasts PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_filtered_state_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_simulation_smoothed_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_using_collapsed PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_state_disturbance_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_forecasts_error PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_states_autocov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_simulation_smoothed_state_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_loglike PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_predicted_state_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_states_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_predicted_state_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_states_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_loglike PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_filtered_state_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_state_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_forecasts_error PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_state_disturbance_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_measurement_disturbance SKIPPED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_using_collapsed PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_simulation_smoothed_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_measurement_disturbance_cov SKIPPED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_filtered_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_states_autocov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_simulation_smoothed_measurement_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_forecasts PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_simulation_smoothed_state_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_forecasts_error_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_predicted_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_states PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_loglike PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_forecasts_error PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_using_collapsed PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_simulation_smoothed_state_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_measurement_disturbance SKIPPED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_filtered_state_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_using_alterate PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_filtered_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_forecasts PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_forecasts_error_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_states_autocov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_predicted_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_state_disturbance_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_states PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_states_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_predicted_state_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_simulation_smoothed_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_state_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_loglike PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_filtered_state_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_forecasts PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_forecasts_error_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_measurement_disturbance_cov SKIPPED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_filtered_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_forecasts_error PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_using_collapsed PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_simulation_smoothed_measurement_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_measurement_disturbance SKIPPED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_state_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_state_disturbance_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_states_autocov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_simulation_smoothed_state_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_predicted_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_states_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_states PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_predicted_state_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_simulation_smoothed_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_predicted_state_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_states_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_simulation_smoothed_state_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_state_disturbance_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_filtered_state_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_using_collapsed PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_forecasts_error PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_simulation_smoothed_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_filtered_state PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_states_autocov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_loglike PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_using_alterate PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_forecasts_error_cov PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_forecasts PASSED [ 37%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_measurement_disturbance SKIPPED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_states PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_state_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_predicted_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_states_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_predicted_state_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_state_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_using_alterate PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_filtered_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_using_collapsed PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_measurement_disturbance SKIPPED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_forecasts PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_filtered_state_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_forecasts_error PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_states_autocov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_states PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_simulation_smoothed_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_state_disturbance_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_forecasts_error_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_simulation_smoothed_state_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_loglike PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_predicted_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_predicted_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_measurement_disturbance SKIPPED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_states PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_forecasts_error_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_states_autocov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_loglike PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_simulation_smoothed_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_state_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_state_disturbance_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_forecasts_error PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_using_alterate PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_predicted_state_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_states_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_filtered_state_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_filtered_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_using_collapsed PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_simulation_smoothed_state_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_forecasts PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_predicted_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_filtered_state_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_states PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_simulation_smoothed_measurement_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_forecasts_error_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_state_disturbance_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_measurement_disturbance SKIPPED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_measurement_disturbance_cov SKIPPED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_forecasts_error PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_forecasts PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_loglike PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_using_collapsed PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_simulation_smoothed_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_states_autocov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_states_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_filtered_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_state_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_predicted_state_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_simulation_smoothed_state_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_states_autocov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_using_collapsed PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_forecasts_error_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_loglike PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_simulation_smoothed_state_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_forecasts_error PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_simulation_smoothed_measurement_disturbance SKIPPED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_measurement_disturbance_cov SKIPPED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_states PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_filtered_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_simulation_smoothed_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_forecasts PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smooth_method PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_filtered_state_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_predicted_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_states_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_predicted_state_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_measurement_disturbance SKIPPED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_forecasts PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_state_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_measurement_disturbance SKIPPED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_simulation_smoothed_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_loglike PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_using_alterate PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_states PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_forecasts_error_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_state_disturbance_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_predicted_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_filtered_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_states_autocov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_predicted_state_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_states_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_simulation_smoothed_state_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_using_collapsed PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_forecasts_error PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_filtered_state_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_simulation_smoothed_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_loglike PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_simulation_smoothed_state_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_states PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_simulation_smoothed_measurement_disturbance SKIPPED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_forecasts_error_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_state_disturbance_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smooth_method PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_filtered_state_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_predicted_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_forecasts PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_measurement_disturbance_cov SKIPPED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_filtered_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_measurement_disturbance SKIPPED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_state_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_predicted_state_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_states_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_states_autocov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_using_collapsed PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_forecasts_error PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_state_disturbance_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_states PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_loglike PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_filtered_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_states_autocov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_forecasts_error_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_predicted_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_state_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_measurement_disturbance SKIPPED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_using_collapsed PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_forecasts PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_filtered_state_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_simulation_smoothed_state_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_simulation_smoothed_measurement_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_forecasts_error PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_measurement_disturbance_cov SKIPPED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_simulation_smoothed_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_states_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_predicted_state_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_forecasts PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_filtered_state_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_states PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_state_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_predicted_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_simulation_smoothed_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_simulation_smoothed_measurement_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_forecasts_error_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_filtered_state PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_simulation_smoothed_state_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_using_collapsed PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_forecasts_error PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_predicted_state_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_states_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_measurement_disturbance_cov SKIPPED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_measurement_disturbance PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_loglike PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_state_disturbance_cov PASSED [ 38%] statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_states_autocov PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[ma3-ar3] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma1-ar0] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma3-ar3] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[ma3-ar2] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma1-ar1] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma3-ar2] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[ma3-ar0] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma1-ar3] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma3-ar0] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[ma3-ar1] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma1-ar2] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma3-ar1] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_impulse_response PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma1-ar3] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma3-ar0] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[ma1-ar3] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma1-ar2] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma3-ar1] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[ma1-ar2] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma1-ar0] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma3-ar3] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[ma1-ar0] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_fi PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma1-ar1] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma3-ar2] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[ma1-ar1] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma0-ar3] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[ma0-ar3] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma2-ar0] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma0-ar2] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_acf_compare_R_ARMAacf PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[ma0-ar2] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma2-ar1] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma0-ar0] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[ma0-ar0] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma2-ar3] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_acovf_persistent PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma0-ar1] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_acov_compare_theoretical_arma_acov PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[ma0-ar1] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma2-ar2] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_acf PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma0-ar0] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[ma2-ar3] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma2-ar3] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma0-ar1] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[ma2-ar2] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_lpol2index_index2lpol PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma2-ar2] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma0-ar3] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[ma2-ar0] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma2-ar0] PASSED [ 38%] statsmodels/tsa/tests/test_arima_process.py::test_arma_acovf PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma0-ar2] PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[ma2-ar1] PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma2-ar1] PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::test_from_estimation[True-0] PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::test_ar2arma_approximates_higher_order_ar PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::test_from_estimation[True-1] PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::test_deconvolve_den_longer_than_num PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::test_deconvolve_roundtrip PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::test_lpol_sdiff[12] PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::test_lpol_sdiff[4] PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::test_ar2arma_recovers_correctly_specified_ar PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_periodogram PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_str_repr PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_from_roots PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_impulse_response PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_acf PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_from_coeff PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_invertroots PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_empty_coeff PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_isstationary PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_pacf PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_arma2ar PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_generate_sample PASSED [ 39%] statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_process_multiplication PASSED [ 39%] statsmodels/robust/tests/test_tools.py::test_tuning_smoke[case3] PASSED [ 39%] statsmodels/robust/tests/test_tools.py::test_eff[case4] PASSED [ 39%] statsmodels/robust/tests/test_tools.py::test_eff[case5] PASSED [ 39%] statsmodels/robust/tests/test_tools.py::test_tuning_smoke[case2] PASSED [ 39%] statsmodels/robust/tests/test_tools.py::test_eff[case7] PASSED [ 39%] statsmodels/robust/tests/test_tools.py::test_tuning_smoke[case0] PASSED [ 39%] statsmodels/robust/tests/test_tools.py::test_tuning_smoke[case1] PASSED [ 39%] statsmodels/robust/tests/test_tools.py::test_tuning_biweight PASSED [ 39%] statsmodels/robust/tests/test_tools.py::test_eff[case6] PASSED [ 39%] statsmodels/robust/tests/test_tools.py::test_eff[case3] PASSED [ 39%] statsmodels/robust/tests/test_tools.py::test_tuning_smoke[case4] PASSED [ 39%] statsmodels/robust/tests/test_tools.py::test_tuning_smoke[case5] PASSED [ 39%] statsmodels/robust/tests/test_tools.py::test_eff[case2] PASSED [ 39%] statsmodels/robust/tests/test_tools.py::test_tuning_smoke[case7] PASSED [ 39%] statsmodels/robust/tests/test_tools.py::test_eff[case0] PASSED [ 39%] statsmodels/robust/tests/test_tools.py::test_eff[case1] PASSED [ 39%] statsmodels/robust/tests/test_tools.py::test_tuning_smoke[case6] PASSED [ 39%] statsmodels/robust/tests/test_tools.py::test_hampel_eff PASSED [ 39%] statsmodels/robust/tests/test_scale.py::test_tau_scale2 PASSED [ 39%] statsmodels/robust/tests/test_scale.py::test_mad_axis_none PASSED [ 39%] statsmodels/robust/tests/test_scale.py::test_scale_iter PASSED [ 39%] statsmodels/robust/tests/test_scale.py::test_tau_scale1 PASSED [ 39%] statsmodels/robust/tests/test_scale.py::test_scale_trimmed_distarge PASSED [ 39%] statsmodels/robust/tests/test_scale.py::test_scale_trimmed_approx PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestChem::test_huber_location PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestChem::test_iqr PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestChem::test_huber_scale PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestChem::test_mean PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestChem::test_huber_huberT PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestChem::test_mad PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestChem::test_huber_Hampel PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestChem::test_median PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestChem::test_qn PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestMad::test_mad_empty PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestMad::test_mad PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestMad::test_mad_center PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestQn::test_qn_naive PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestQn::test_qn_empty PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestQn::test_qn_robustbase PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axis2 PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_default PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axis1 PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axisneg1 PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axis2 PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axis0 PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axisneg1 PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axis1 PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestIqr::test_iqr PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestIqr::test_iqr_empty PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axis2 PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axis1 PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axisneg1 PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axis0 PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestMScale::test_huber_equivalence PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestMScale::test_biweight PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis1 PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis0 PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis2 PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axisneg1 PASSED [ 39%] statsmodels/robust/tests/test_scale.py::TestHuber::test_huber_result_shape PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::test_concentrated_initialization PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::test_parameterless_model PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::test_summary_after_remove_data PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::test_invalid PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_fitted PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_initial_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_conf_int PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_misc PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_forecasts PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_output PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendHeuristicInitialization::test_heuristic PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_misc PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_forecasts PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_conf_int PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_fitted PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_output PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_initial_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersConcentratedInitialization::test_given_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersConcentratedInitialization::test_estimated_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_misc PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_forecasts PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_fitted PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_conf_int PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_initial_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_output PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_mle_estimates PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_misc PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_fitted PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_initial_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_output PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_conf_int PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_forecasts PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersKnownInitialization::test_given_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersKnownInitialization::test_estimated_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_fitted PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_output PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_forecasts PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_misc PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_conf_int PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_initial_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_fitted PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_initial_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_conf_int PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_misc PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_forecasts PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_mle_estimates PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_output PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedKnownInitialization::test_given_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedKnownInitialization::test_estimated_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_fitted PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_forecasts PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_misc PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_conf_int PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_initial_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_output PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_forecasts PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_conf_int PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_fitted PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_initial_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_output PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_misc PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltConcentratedInitialization::test_estimated_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltConcentratedInitialization::test_given_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedHeuristicInitialization::test_heuristic PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESConcentratedInitialization::test_given_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESConcentratedInitialization::test_estimated_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_fitted PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_forecasts PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_conf_int PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_misc PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_initial_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_output PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_forecasts PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_conf_int PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_initial_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_fitted PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_output PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_misc PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESHeuristicInitialization::test_heuristic PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedHeuristicInitialization::test_heuristic PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_fitted PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_initial_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_misc PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_conf_int PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_output PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_forecasts PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_mle_estimates PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltKnownInitialization::test_estimated_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltKnownInitialization::test_given_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedConcentratedInitialization::test_estimated_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedConcentratedInitialization::test_given_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedConcentratedInitialization::test_estimated_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedConcentratedInitialization::test_given_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESKnownInitialization::test_given_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESKnownInitialization::test_estimated_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_forecasts PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_mle_estimates PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_misc PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_fitted PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_output PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_initial_states PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_conf_int PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltHeuristicInitialization::test_heuristic PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersHeuristicInitialization::test_heuristic PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedKnownInitialization::test_estimated_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedKnownInitialization::test_given_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendConcentratedInitialization::test_estimated_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendConcentratedInitialization::test_given_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendKnownInitialization::test_given_params PASSED [ 39%] statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendKnownInitialization::test_estimated_params PASSED [ 39%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movmoment_prints_debug_output PASSED [ 39%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movvar_2d_is_columnwise[lagged-expected_slice2] PASSED [ 39%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movorder_invalid_order_raises_for_numeric_path PASSED [ 39%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movvar_1d[centered-expected_slice1] PASSED [ 39%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movmean_2d_matches_1d_broadcast PASSED [ 39%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movmean_leading_window_100_matches_regression_values PASSED [ 39%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movmean_equals_movmoment_order_1 PASSED [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movvar_1d[lagged-expected_slice2] PASSED [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movorder_min_lagged_matches_decreasing_series PASSED [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_expandarr_1d PASSED [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movorder_string_order_min XFAIL.) [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movorder_invalid_lag_raises PASSED [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movorder_string_order_max XFAILmary interface) is completely broken. `np.isfinite(order)` is called unconditionally before checking `order in ('med', 'min', 'max')`, and raises TypeError for any string order before the string branches are ever reached. Even the module's own check_movorder() self- test crashes on its first call for this reason. This test documents the *intended* behavior from the docstring/check_movorder(); it should start passing once the order dispatch is fixed to check string values before np.isfinite().) [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movmean_1d_leading_matches_regression_values PASSED [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_expandarr_2d PASSED [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_expandarr_zero_padding_is_noop PASSED [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movmean_lagged_window_100_matches_regression_values PASSED [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movvar_equals_second_minus_first_squared_moment PASSED [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movvar_1d[leading-expected_slice0] PASSED [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movorder_string_order_med XFAIL.) [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movvar_2d_is_columnwise[centered-expected_slice1] PASSED [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movmean_1d_centered_matches_regression_values PASSED [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movmean_1d_lagged_matches_regression_values PASSED [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movorder_min_centered PASSED [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movmean_centered_window_101_matches_regression_values PASSED [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movmoment_invalid_lag_raises PASSED [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movvar_2d_is_columnwise[leading-expected_slice0] PASSED [ 40%] statsmodels/sandbox/tsa/tests/test_movstat.py::test_movorder_max_lagged_matches_increasing_series PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::TestZINegativeBinomialPPredict::test_diagnostic PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::TestZINegativeBinomialPPredict::test_predict PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::TestZINegativeBinomialPPredict::test_basic PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_score_test PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_influence PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_predict_linear PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_score_test_alpha PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::test_distr[case3] PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::test_prediction_results_monotonic_conf_int_invalid_method PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::test_distr[case2] PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::test_distr[case0] PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::test_distr[case1] PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::test_distr[case4] PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::test_distr[case5] PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::test_distr[case7] PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::test_distr[case6] PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::test_distr[case12] PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::test_distr[case13] PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::test_distr[case11] PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::test_distr[case10] PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::test_distr[case14] PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::test_distr[case8] PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::test_distr[case9] PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_predict PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_influence PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_diagnostic PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_score_test PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_basic PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_score_test_alpha PASSED [ 40%] statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_predict_linear PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_pickle PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_lutkepohl_parse PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_irf_trend PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_var_trend PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_var_fit_invalid_trend_raises PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_var_fit_valid_trend[c-1] PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_get_trendorder PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_var_fit_valid_trend[ctt-3] PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_var_constant PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_var_fit_valid_trend[n-0] PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_var_fit_valid_trend[ct-2] PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_0_lag PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_var_maxlag PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_irf_plot_err_bands_kwarg PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_irf_err_bands PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_var_model_predict_matches_forecast_and_fittedvalues PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_whiteness_nlag PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_irf_resim_replications_differ[int] PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_sample_acorr PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_irf_resim_reproducible_with_int_seed PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_var_cov_params_pandas PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_varprocess_plot_acorr PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_irf_resim_replications_differ[randomstate] PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_plot_sample_acorr PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_correct_nobs PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_sample_acov PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_irf_invalid_stderr_type_raises PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_from_formula PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_forecast_wrong_shape_params PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_irf_resim_replications_differ[generator] PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::test_summaries_exog PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_simulate_var_int_seed_warns_consistently PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_multiple_simulations PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_exog PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_forecast_cov PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_process_plotting PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_process PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_irf_stderr PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_approx_mse PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_lr_effect_stderr PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_cum_irf_stderr PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_forecast PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_select_order PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_aic PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_bic PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_lagorder_select PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_figsizes PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_acf_2_lags PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_hqic PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_stderr PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_cov_ybar PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_is_stable PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_causality PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_cum_effects PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_acorr PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_constructor PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fpe PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_get_eq_index PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fevd_cov PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fevd_plot PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_ma_rep PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_acf PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_cov_params PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_acorr PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_reorder PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_loglike PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_sim PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_params PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_tstat PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_pvalues PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_forecast_interval PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_forecast PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_irf_coefs PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_detsig PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_nobs PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fevd_summary PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_irf PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fevd_repr PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_causality_no_lags PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_names PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_summary PASSED [ 40%] statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_repr PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_tpvalues PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_scale PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_standard_errors PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_aic PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_bic PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_deviance PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_params PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_null_deviance PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_loglike PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_fittedvalues PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_fittedvalues PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_standard_errors PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_params PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_loglike PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_aic PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_bic PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_tpvalues PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_deviance PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_scale PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_null_deviance PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_attribute_writable_resettable PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_perfect_pred PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_score_test_ols PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-Binomial-Cauchy] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-InverseGaussian-InversePower] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-Gamma-InversePower] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-NegativeBinomial-InverseSquared] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-Gamma-Log] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-Binomial-Logit] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-NegativeBinomial-Identity] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-Gaussian-Identity] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-NegativeBinomial-Identity] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-Binomial-CLogLog] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-Gaussian-InversePower] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-Gamma-InversePower] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-InverseGaussian-InversePower] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-Poisson-Log] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-Gaussian-Identity] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-Binomial-Cauchy] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-Binomial-Probit] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-Binomial-Probit] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-Poisson-Identity] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-InverseGaussian-Identity] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-Gamma-Log] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-Poisson-Log] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-NegativeBinomial-InverseSquared] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-Gaussian-InversePower] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_plots PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-Gamma-Identity] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-NegativeBinomial-Log] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-Gamma-Identity] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-NegativeBinomial-InverseSquared] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-InverseGaussian-InversePower] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-Poisson-Sqrt] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-Poisson-Sqrt] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-Gaussian-Log] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-Gaussian-Log] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-InverseGaussian-InverseSquared] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-InverseGaussian-InversePower] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-NegativeBinomial-InversePower] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-Binomial-Log] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-Binomial-Log] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-Poisson-Identity] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-Gaussian-Identity] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-Gaussian-Identity] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-InverseGaussian-InverseSquared] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-NegativeBinomial-InverseSquared] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-NegativeBinomial-Log] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-InverseGaussian-Identity] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-Binomial-Logit] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-Binomial-CLogLog] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-NegativeBinomial-InversePower] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_glm_start_params PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-Poisson-Log] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-InverseGaussian-Log] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-Binomial-Logit] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-InverseGaussian-InverseSquared] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-Gamma-Log] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-Gaussian-InversePower] PASSED [ 40%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-InverseGaussian-Identity] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-NegativeBinomial-InversePower] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-NegativeBinomial-InversePower] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-Poisson-Log] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-Gamma-InversePower] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-InverseGaussian-Log] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-Gamma-InversePower] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-Gamma-Log] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-NegativeBinomial-Identity] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-NegativeBinomial-Identity] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-Binomial-CLogLog] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-InverseGaussian-InverseSquared] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-Gaussian-InversePower] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-Poisson-Identity] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_summary PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-Gamma-Identity] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_glm_irls_method PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-InverseGaussian-Log] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-Gamma-Identity] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-Poisson-Identity] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-Binomial-Log] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-Binomial-Log] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-NegativeBinomial-Log] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-Binomial-CLogLog] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-InverseGaussian-Log] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-Gaussian-Log] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-Gaussian-Log] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-Binomial-Cauchy] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_loglike_no_opt PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-InverseGaussian-Identity] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-NegativeBinomial-Log] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-Poisson-Sqrt] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-Poisson-Sqrt] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[0-Binomial-Cauchy] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[0-Binomial-Logit] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls[1-Binomial-Probit] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_formula_missing_exposure PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim[1-Binomial-Probit] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_wtd_formula_with_missing PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_glm_lasso_6431 PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::testTweediePowerEstimate PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_tweedie_elastic_net PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_tweedie_EQL_upper_limit PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_tweedie_EQL PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_tweedie_EQL_poisson_limit PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_glm_fit_cov_p_fallback_on_linalg_error PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_glm_bic PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_glm_get_margeff PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_int_exog[int8] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_int_exog[int32] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_output_exposure_null PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_predict_invalid_which_raises PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_estimate_scale_invalid_scaletype_raises PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_information_is_expected_hessian PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_invalid_scale_string_raises PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_summary_after_remove_data PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_names PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_int_exog[int64] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_int_exog[int16] PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_tweedie_score PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_names_default PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_derivative_predict_matches_numerical_derivative PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_qaic PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_non_invertible_hessian_fails_summary PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_loglike_mu_matches_loglike PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_glm_summary2_method PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_poisson_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::test_int_scale PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_fittedvalues PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_offset_exposure PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_residuals PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_missing PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_null_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_degrees PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_summary PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_standard_errors PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_summary2 PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_predict PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_prsquared PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_loglike PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_get_distribution PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_params PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_bic PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_aic_Stata PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_tpvalues PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_scale PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_aic_R PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_pearson_chi2 PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog1::test_resid PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog1::test_mu PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_fittedvalues PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_scale PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_aic PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_bic PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_loglike PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_tpvalues PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_standard_errors PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_null_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_params PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_bic PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_aic PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_tpvalues PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_standard_errors PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_fittedvalues PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_params PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_loglike PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_null_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_scale PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_df PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_bse PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_resid PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_summary PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_params PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_fittedvalues PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog0::test_mu PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog0::test_resid PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_params PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_fittedvalues PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_null_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_loglike PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_tpvalues PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_aic PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_bic PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_scale PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_standard_errors PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_tpvalues PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_scale PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_loglike PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_bic PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_aic PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_fittedvalues PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_standard_errors PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_null_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_params PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_loglike PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_tpvalues PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_fittedvalues PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_summary PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_degrees PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_aic_R PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_aic_Stata PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_scale PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_bic PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_params PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_null_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_prsquared PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_pearson_chi2 PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_standard_errors PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_summary2 PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_get_distribution PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_residuals PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_scale PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_summary PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_degrees PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_bic PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_prsquared PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_aic_R PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_summary2 PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_residuals PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_loglike PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_fittedvalues PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_get_distribution PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_standard_errors PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_params PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_tpvalues PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_pearson_chi2 PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_null_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_aic_Stata PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_null_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_prsquared PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_standard_errors PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_params PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_pearson_chi2 PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_summary2 PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_get_distribution PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_bic PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_residuals PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_aic_R PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_scale PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_tpvalues PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_loglike PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_fittedvalues PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_aic_Stata PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_compare_OLS PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_summary PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_degrees PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestStartParams::test_tpvalues PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestStartParams::test_summary PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestStartParams::test_degrees PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestStartParams::test_standard_errors PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestStartParams::test_null_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestStartParams::test_aic_Stata PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestStartParams::test_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestStartParams::test_params PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestStartParams::test_loglike PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestStartParams::test_pearson_chi2 PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestStartParams::test_aic_R PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestStartParams::test_residuals PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestStartParams::test_fittedvalues PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestStartParams::test_scale PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestStartParams::test_get_distribution PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestStartParams::test_prsquared PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestStartParams::test_bic PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestStartParams::test_summary2 PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_deviance PASSED [ 41%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_pearson_chi2 PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_loglike PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_null_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_tpvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_params PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_get_distribution PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_degrees PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_summary PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_aic_Stata PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_scale PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_bic PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_aic_R PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_standard_errors PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_prsquared PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_residuals PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_summary2 PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_fittedvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestRegularized::test_regularized_l1_slsqp_refit PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestRegularized::test_regularized_l1_slsqp_vs_glmnet PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestRegularized::test_regularized PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestRegularized::test_regularized_l1_slsqp_gaussian PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestRegularized::test_regularized_method_errors PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestRegularized::test_regularized_l1_slsqp_vs_discrete PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestRegularized::test_regularized_l1_slsqp_vs_elastic_net PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestRegularized::test_regularized_l1_slsqp_no_convergence_warns PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestRegularized::test_regularized_elastic_net_ridge_shortcut PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestRegularized::test_regularized_elastic_net_method_alias PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestRegularized::test_regularized_l1_slsqp_fit_history_iteration PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_aic_Stata PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_pearson_chi2 PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_scale PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_aic_R PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_tpvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_standard_errors PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_get_distribution PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_summary2 PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_null_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_degrees PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_summary PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_residuals PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_prsquared PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_params PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_fittedvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_bic PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_loglike PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_bic PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_get_distribution PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_residuals PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_loglike PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_summary2 PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_fittedvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_compare_discrete PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_prsquared PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_score_r PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_summary PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_degrees PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_scale PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_pearson_chi2 PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_null_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_tpvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_aic_R PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_get_prediction PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_aic_Stata PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_params PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_score_test PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_standard_errors PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_params PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_fittedvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_bic PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_aic PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_missing PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_scale PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_standard_errors PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_null_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_loglike PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_tpvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_standard_errors PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_params PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_fittedvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_scale PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_tpvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_bic PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_aic PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_loglike PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_null_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_pearson_chi2 PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_tpvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_null_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_params PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_bic PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_aic_Stata PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_standard_errors PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_loglike PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_prsquared PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_residuals PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_summary2 PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_scale PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_get_distribution PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_fittedvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_aic_R PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_summary PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_degrees PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_get_distribution PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_summary PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_degrees PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_bic PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_params PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_aic_Stata PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_aic_R PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_fittedvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_summary2 PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_loglike PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_scale PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_invalid_endog_formula PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_prsquared PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_tpvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_standard_errors PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_null_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_pearson_chi2 PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_get_distribution_binom_count PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_invalid_endog PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_endog_dtype PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_residuals PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_null_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_summary2 PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_prsquared PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_loglike PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_get_distribution PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_residuals PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_summary PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_degrees PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_pearson_chi2 PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_params PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_fittedvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_aic_R PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_tpvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_standard_errors PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_scale PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_compare_OLS PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_aic_Stata PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_bic PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_prsquared PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_get_distribution PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_bic PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_degrees PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_summary PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_scale PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_pearson_chi2 PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_residuals PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_tpvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_loglike PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_aic_R PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_summary2 PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_fittedvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_null_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_aic_Stata PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_params PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_standard_errors PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_bic PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_aic PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_standard_errors PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_loglike PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_null_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_params PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_tpvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_fittedvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_scale PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog2::test_mu PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog2::test_resid PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_tpvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_bic PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_aic PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_fittedvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_loglike PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_scale PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_standard_errors PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_null_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_params PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_get_distribution PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_residuals PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_summary PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_degrees PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_tpvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_scale PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_loglike PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_params PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_prsquared PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_aic_R PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_pearson_chi2 PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_standard_errors PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_fittedvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_bic PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_aic_Stata PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_null_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_summary2 PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_standard_errors PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_residuals PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_params PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_fittedvalues PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_get_distribution PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_scale PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_null_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_deviance PASSED [ 42%] statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_prsquared PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_tpvalues PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_aic_R PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_summary2 PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_aic_Stata PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_degrees PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_summary PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_bic PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_pearson_chi2 PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_loglike PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_params PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_df PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_resid PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_bse PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_deviance PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_summary PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_fittedvalues PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_bic PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_aic PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_deviance PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_null_deviance PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_tpvalues PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_loglike PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_params PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_standard_errors PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_scale PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_fittedvalues PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog3::test_resid PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog3::test_mu PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_params PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_deviance PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_df PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_fittedvalues PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_resid PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_bse PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_summary PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_summary2 PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_pearson_chi2 PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_summary PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_degrees PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_bic PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_prsquared PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_params PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_residuals PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_loglike PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_scale PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_null_deviance PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_standard_errors PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_aic_R PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_deviance PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_fittedvalues PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_tpvalues PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_aic_Stata PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_get_distribution PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_summary PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_degrees PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_params PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_residuals PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_tpvalues PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_null_deviance PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_fittedvalues PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_get_distribution PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_deviance PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_loglike PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_score_test PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_bic PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_prsquared PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_compare_discrete PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_aic_Stata PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_get_prediction PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_standard_errors PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_scale PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_pearson_chi2 PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_aic_R PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_summary2 PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_rtol PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_rtol_params PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_rtol_only PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_only_params PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_rtol_only_params PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_only PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_null_deviance PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_tpvalues PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_bic PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_aic PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_scale PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_deviance PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_params PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_fittedvalues PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_standard_errors PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_loglike PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_tpvalues PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_loglike PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_deviance PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_aic PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_bic PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_standard_errors PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_null_deviance PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_scale PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_params PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_fittedvalues PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_bse PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_df PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_fittedvalues PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_deviance PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_params PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_summary PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_resid PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_null_deviance PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_bic PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_aic PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_params PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_scale PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_tpvalues PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_init_kwargs PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_deviance PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_standard_errors PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_loglike PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_fittedvalues PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_bic PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_aic PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_deviance PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_fittedvalues PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_tpvalues PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_standard_errors PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_loglike PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_scale PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_params PASSED [ 43%] statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_null_deviance PASSED [ 43%] statsmodels/stats/tests/test_regularized_covariance.py::test_calc_nodewise_weight PASSED [ 43%] statsmodels/stats/tests/test_regularized_covariance.py::test_calc_nodewise_row PASSED [ 43%] statsmodels/stats/tests/test_regularized_covariance.py::test_calc_approx_inv_cov PASSED [ 43%] statsmodels/stats/tests/test_regularized_covariance.py::test_fit PASSED [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::test_acskewt_rvs XFAIL, alpha) does not accept the `size` keyword argument scipy passes to _rvs, so ACSkewT_gen().rvs(...) always raises TypeError.) [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::test_pdf_moments_st_is_broken XFAILIn Python 3 `/` is true division, so this always passes a float to range(), which raises TypeError immediately for any call with >= 3 moments (the only case that reaches the loop). Even if that were fixed with `//`, the very next statement is an unconditional bare `raise SystemError`, so the function cannot currently produce a result either way; pdf_moments/pdf_mvsk are the intended non-broken replacements per this module's own docstring.) [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::test_pdf_mvsk_requires_four_moments PASSED [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::test_skewt PASSED [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::test_skewnorm_rvs XFAIL argument that scipy.stats.rv_continuous.rvs() always passes to _rvs on modern scipy (it instead relies on the legacy self._size instance attribute set before calling _rvs). skewnorm.rvs(...) therefore always raises TypeError.) [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::test_skewnorm PASSED [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::test_pdf_moments_requires_at_least_two_moments PASSED [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::test_pdf_mvsk_matches_pdf_moments PASSED [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::test_pdf_moments_reduces_to_normal_for_zero_skew_kurt PASSED [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::test_logtransf_gen_matches_underlying_distribution PASSED [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::test_exptransf_gen_matches_underlying_distribution PASSED [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::test_get_u_argskwargs_u_args_is_silently_dropped XFAILore* trying to pop 'u_args' back out: `u_kwargs = {k.replace('u_', '', 1): v for k, v in kwargs.items() if k.startswith('u_')}` renames a passed `u_args=...` to key 'args', then `u_kwargs.pop('u_args', None)` looks for a key that no longer exists (it's 'args' now), so it always returns the None default. A caller's u_args value is silently lost, and a stray 'args' key leaks into u_kwargs instead of being removed.) [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::test_transf_gen_lognormalg_matches_underlying_distribution PASSED [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::test_transf_gen_invdnormalg_cdf_ppf_roundtrip PASSED [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::test_get_u_argskwargs PASSED [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::test_transf_gen_loggammaexpg XFAILant to be called as loggammaexpg.cdf(x, a) for gamma shape parameter `a`, mirroring lognormalg's usage. But Transf_gen._cdf(self, x, *args, **kwargs) does not receive the shape argument by the time it calls self.kls._cdf(self.funcinv(x), *args, **kwargs) -- args is empty -- so stats.gamma._cdf() always raises TypeError for a missing required `a` argument.) [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::test_logtransf_gen_default_lower_bound_clips_negative_support PASSED [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::TestNormExpanGen::test_centmom_mode_matches_mvsk_mode PASSED [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::TestNormExpanGen::test_invalid_mode_raises PASSED [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::TestMvstdnormcdf::test_mvstdnormcdf_matches_docstring_example SKIPPED [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::TestMvstdnormcdf::test_mvnormcdf_matches_mvstdnormcdf_when_standardized SKIPPED [ 43%] statsmodels/sandbox/distributions/tests/test_extras.py::TestMvstdnormcdf::test_mvnormcdf_rescales_for_nonunit_variance SKIPPED [ 43%] statsmodels/base/tests/test_constraints.py::test_transform_restriction_matches_direct_constrained_ols PASSED [ 43%] statsmodels/base/tests/test_constraints.py::TestTransformRestriction::test_infeasible_restriction_raises PASSED [ 43%] statsmodels/base/tests/test_constraints.py::TestTransformRestriction::test_expand_reduce_roundtrip PASSED [ 43%] statsmodels/base/tests/test_constraints.py::TestTransformRestriction::test_homogeneous_restriction_with_forced_zero_solution PASSED [ 43%] statsmodels/base/tests/test_constraints.py::TestTransformRestriction::test_expand_satisfies_constraint PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_matches_direct_ols PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_raises_h_zero PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_hamilton_filter_2d[True] PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_trend_plus_cycle_equals_x_custom PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_pandas_dataframe_column PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_minimum_length_works[5-7] PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_n_finite_obs PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_minimum_length_works[11-7] PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_finite_after_nan_prefix PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_nan_prefix_custom PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_pandas_series_input PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_minimum_length_works[11-3] PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_stationary_cycle_from_random_walk PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_returns_cycletrendresult PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_minimum_length_works[5-3] PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_pandas_index_preserved PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_nan_prefix_default PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_minimum_length_works[2-7] PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_pandas_name_suffix PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_monthly_settings PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_output_shapes_custom_h_p PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_hamilton_filter_2d[False] PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_cycle_mean_near_zero PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_importable_from_api PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_minimum_length_works[7-7] PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_raises_too_short PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_annual_settings PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_minimum_length_works[7-3] PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_minimum_length_works[2-3] PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_raises_p_zero PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_accessible_via_tsa_filters PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_trend_plus_cycle_equals_x PASSED [ 43%] statsmodels/tsa/filters/tests/test_hamilton_filter.py::test_output_shapes_default PASSED [ 43%] statsmodels/stats/tests/test_inference_tools.py::test_mover_confint_invalid_contrast_raises PASSED [ 43%] statsmodels/stats/tests/test_inference_tools.py::test_mover_confint_contrasts PASSED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposureGeneric::test_basic PASSED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposureGeneric::test_oth PASSED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposureGeneric::test_waldtest PASSED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposureGeneric::test_ttest PASSED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform2::test_margeff SKIPPED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform2::test_score_test PASSED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform2::test_cov_options PASSED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform2::test_basic PASSED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform2::test_score_hessian PASSED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACGroupsum::test_basic PASSED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACGroupsum::test_score_test PASSED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACGroupsum::test_score_hessian PASSED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACGroupsum::test_kwd PASSED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACGroupsum::test_margeff SKIPPED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluFit::test_oth PASSED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluFit::test_waldtest PASSED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluFit::test_ttest PASSED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluFit::test_basic PASSED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMLogitOffset::test_score_hessian PASSED [ 43%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMLogitOffset::test_score_test PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMLogitOffset::test_margeff SKIPPED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMLogitOffset::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Generic::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Generic::test_waldtest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Generic::test_oth PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Generic::test_ttest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluGeneric::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluGeneric::test_oth PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluGeneric::test_waldtest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluGeneric::test_ttest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHAC::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHAC::test_score_test PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHAC::test_score_hessian PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHAC::test_margeff SKIPPED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMLogit::test_score_hessian PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMLogit::test_margeff SKIPPED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMLogit::test_score_test PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMLogit::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussNonRobust::test_score_test PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussNonRobust::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussNonRobust::test_score_hessian PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussNonRobust::test_margeff SKIPPED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHC::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHC::test_score_test PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHC::test_score_hessian PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHC::test_margeff SKIPPED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposure::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposure::test_oth PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposure::test_ttest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposure::test_waldtest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMProbit::test_score_hessian PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMProbit::test_margeff SKIPPED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMProbit::test_score_test PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMProbit::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHAC2::test_score_test PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHAC2::test_margeff SKIPPED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHAC2::test_score_hessian PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHAC2::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1FitExposure::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1FitExposure::test_waldtest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1FitExposure::test_ttest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1FitExposure::test_oth PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform::test_cov_options PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform::test_score_hessian PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform::test_margeff SKIPPED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform::test_score_test PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinClu::test_ttest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinClu::test_waldtest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinClu::test_oth PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinClu::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluFit::test_ttest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluFit::test_waldtest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluFit::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluFit::test_oth PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanelGroups::test_score_hessian PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanelGroups::test_score_test PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanelGroups::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanelGroups::test_margeff SKIPPED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposure::test_oth PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposure::test_ttest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposure::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposure::test_waldtest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Generic::test_oth PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Generic::test_ttest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Generic::test_waldtest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Generic::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluGeneric::test_ttest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluGeneric::test_waldtest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluGeneric::test_oth PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluGeneric::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonClu::test_waldtest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonClu::test_ttest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonClu::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonClu::test_oth PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussClu::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussClu::test_score_test PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussClu::test_score_hessian PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussClu::test_margeff SKIPPED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Fit::test_oth PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Fit::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Fit::test_waldtest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Fit::test_ttest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluFit::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluFit::test_waldtest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluFit::test_oth PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluFit::test_basic_inference PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluFit::test_ttest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoisson::test_score_hessian PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoisson::test_score_test PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoisson::test_margeff SKIPPED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoisson::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposureFit::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposureFit::test_waldtest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposureFit::test_oth PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposureFit::test_ttest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMProbitOffset::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMProbitOffset::test_score_hessian PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMProbitOffset::test_score_test PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMProbitOffset::test_margeff SKIPPED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluGeneric::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluGeneric::test_oth PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluGeneric::test_waldtest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluGeneric::test_ttest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonClu::test_ttest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonClu::test_waldtest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonClu::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonClu::test_oth PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanel::test_score_hessian PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanel::test_kwd PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanel::test_score_test PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanel::test_margeff SKIPPED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanel::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Fit::test_ttest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Fit::test_waldtest PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Fit::test_basic PASSED [ 44%] statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Fit::test_oth PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[True-False-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[True-True-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[False-False-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[True-False-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[True-False-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[False-True-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[False-False-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[False-False-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[True-True-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[True-True-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[False-True-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[False-False-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[False-True-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-True-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[False-False-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[True-False-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[True-True-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[True-True-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[False-True-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[False-False-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-False-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[False-False-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[False-True-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-False-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[False-False-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-True-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[False-True-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[True-False-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-True-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[True-False-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[False-True-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[True-False-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[True-False-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[True-True-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[True-True-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[True-False-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[True-True-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[False-True-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[True-True-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[True-True-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[False-True-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[True-False-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[False-False-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[False-False-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[False-True-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[False-True-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[False-True-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[True-False-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[True-True-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[False-False-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[True-True-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[True-False-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-False-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[False-False-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-True-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[True-True-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_invalid PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[True-False-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-False-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[True-True-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[False-True-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-True-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[True-False-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[False-False-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[True-False-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[False-True-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[False-False-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-False-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[False-True-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[True-False-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[False-True-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[True-False-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-True-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[True-False-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[True-False-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[False-False-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-True-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[False-False-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[False-True-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[False-False-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[False-False-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[False-False-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[True-False-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[True-True-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[True-True-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-False-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[False-True-partial] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[False-True-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[False-False-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[False-True-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[True-False-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[True-True-all] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[False-False-mixed] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[True-True-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-False-None] PASSED [ 44%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[False-True-mixed] PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[False-False-all] PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[True-True-partial] PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[False-True-partial] PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[True-False-None] PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[True-False-mixed] PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[True-True-mixed] PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[True-False-None] PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-False-mixed] PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[True-True-partial] PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[False-True-partial] PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[False-False-all] PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[False-True-None] PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[True-True-None] PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[False-False-None] PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-True-all] PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[True-True-mixed] PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[True-True-all] PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_scaled_smoothed_estimator_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_measurement_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_predicted_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_scaled_smoothed_estimator PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_predicted_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_forecasts_error_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_measurement_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_forecasts_error PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_loglike PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_state_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_forecasts PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_state_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_forecasts PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_predicted_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_measurement_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_forecasts PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_forecasts_error PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_state_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_loglike PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_scaled_smoothed_estimator PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_state_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_forecasts PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_scaled_smoothed_estimator_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_forecasts_error_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_measurement_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_predicted_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_predicted_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_scaled_smoothed_estimator PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_forecasts_error_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_measurement_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_forecasts PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_forecasts PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_state_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_state_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_loglike PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_forecasts_error PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smooth_method PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_predicted_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_predicted_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_standardized_residuals PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_measurement_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_predicted_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_state_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_predict_obs PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_filtered_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_state_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_measurement_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_state_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_measurement_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_state_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_measurement_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_predicted_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_predicted_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_measurement_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_predicted_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_loglike PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_predicted_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_forecasts_error_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_forecasts PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smooth_method PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_forecasts PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_scaled_smoothed_estimator PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_forecasts_error PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_predicted_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smooth_method PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_filtered_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_measurement_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_predict_obs PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_standardized_residuals PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_predicted_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_predicted_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_measurement_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_predicted_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smooth_method PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_predicted_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_forecasts PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_predicted_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_measurement_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smooth_method PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_forecasts PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_loglike PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_scaled_smoothed_estimator PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_forecasts_error_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_forecasts_error PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesUnivariateSmoothing::test_smooth_method PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesUnivariateSmoothing::test_filter_method PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesUnivariateSmoothing::test_smoothed_state_autocov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_predicted_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_filtered_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_measurement_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_standardized_residuals PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_predicted_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smooth_method PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_predict_obs PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesClassicalSmoothing::test_smooth_method PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesClassicalSmoothing::test_smoothed_state_autocov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_predicted_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_forecasts_error_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_scaled_smoothed_estimator PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_forecasts_error PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_loglike PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_forecasts PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_forecasts PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_predicted_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smooth_method PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_measurement_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_measurement_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_predicted_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_predicted_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smooth_method PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariances::test_smoothed_state_autocov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_state_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_state_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_measurement_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_predicted_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_predicted_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_measurement_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_predict_obs PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_smoothed_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_standardized_residuals PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_smoothed_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_smoothed_measurement_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_predicted_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_smoothed_state_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_smoothed_state_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_smoothed_measurement_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_filtered_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_predicted_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_state_disturbance_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_forecasts_error PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_scaled_smoothed_estimator PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_forecasts_error_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smooth_method PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_forecasts PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_forecasts PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_measurement_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_predicted_states_cov PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_predicted_states PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_loglike PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_state_disturbance PASSED [ 45%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_scaled_smoothed_estimator PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_predicted_states PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smooth_method PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_states_cov PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_forecasts_error PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_forecasts_error_cov PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_measurement_disturbance PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_predicted_states_cov PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_forecasts PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_states PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_filter_method PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_forecasts PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesAlternativeSmoothing::test_smoothed_state_autocov PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesAlternativeSmoothing::test_smooth_method PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_states_cov PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_predicted_states PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_states PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_predicted_states_cov PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_state_disturbance PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_measurement_disturbance_cov PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_state_disturbance_cov PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_measurement_disturbance PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_forecasts PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_scaled_smoothed_estimator_cov PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_forecasts PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_forecasts_error_cov PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_scaled_smoothed_estimator PASSED [ 46%] statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_forecasts_error PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_transform_untransform PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_init_keys_replicate PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_predict PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_start_params PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_plot_diagnostics PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_misc_exog PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_model_latex_names_matches_model_names_structure PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_simple_time_varying PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_time_varying_regression_seasonal_differencing PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_predict_custom_index PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_manual_approximate_diffuse_initialization PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_apply_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_start_params_small_nobs PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_dynamic_str PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_concentrated_scale PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_manual_stationary_initialization PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_simple_differencing_strindex PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_time_varying_regression_differencing PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_arima000 PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_simple_differencing_dateindex PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_extend_constant_exog_with_trend PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_sarimax_starting_values_few_obsevations_long_ma PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_simple_differencing_rangeindex PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_invalid_order PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_invalid_time_varying PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_extend_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_summary_after_remove_data PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_forecast_exog PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_recreate_model PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_sarimax_forecast_exog_trend PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_simple_differencing_int64index PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_append_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_extend_by_one PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_datasets PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_invalid_seasonal_order PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::test_sarimax_starting_values_few_obsevations PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_transform_untransform PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_predict PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_init_keys_replicate PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_plot_diagnostics PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_start_params PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_start_params PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_transform_untransform PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_plot_diagnostics PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_predict PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_init_keys_replicate PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_plot_diagnostics PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_init_keys_replicate PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_transform_untransform PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_predict PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_start_params PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_start_params PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_predict PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_transform_untransform PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_plot_diagnostics PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_init_keys_replicate PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_start_params PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_predict PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_transform_untransform PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_init_keys_replicate PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_plot_diagnostics PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_plot_diagnostics PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_predict PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_start_params PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_init_keys_replicate PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_transform_untransform PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestSARIMAXStatsmodels::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestSARIMAXStatsmodels::test_t_test PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestSARIMAXStatsmodels::test_mle PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestSARIMAXStatsmodels::test_hqic PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestSARIMAXStatsmodels::test_bic PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestSARIMAXStatsmodels::test_aic PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestSARIMAXStatsmodels::test_bse PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_init_keys_replicate PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_predict PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_plot_diagnostics PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_start_params PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_regression_coefficient PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_transform_untransform PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_plot_diagnostics PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_predict PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_transform_untransform PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_init_keys_replicate PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_start_params PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_transform_untransform PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_start_params PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_plot_diagnostics PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_predict PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_init_keys_replicate PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestRealGDPARStata::test_standardized_forecasts_error PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestRealGDPARStata::test_filtered_state PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_plot_diagnostics PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_predict PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_transform_untransform PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_init_keys_replicate PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_start_params PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAdditiveSeasonal::test_standardized_forecasts_error PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAdditiveSeasonal::test_mle PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAdditiveSeasonal::test_bse_oim PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAdditiveSeasonal::test_bse PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAdditiveSeasonal::test_bse_approx PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAdditiveSeasonal::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAdditiveSeasonal::test_aic PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAdditiveSeasonal::test_bic PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAdditiveSeasonal::test_hqic PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_start_params PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_predict PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_init_keys_replicate PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_plot_diagnostics PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_transform_untransform PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_bic PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_aic PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_bse PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_mle PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_standardized_forecasts_error PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_bse_approx PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_bse_oim PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_hqic PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_regression_parameters PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_init_keys_replicate PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_predict PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_transform_untransform PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_start_params PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_plot_diagnostics PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_predict PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_start_params PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_plot_diagnostics PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_init_keys_replicate PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_transform_untransform PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_transform_untransform PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_plot_diagnostics PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_start_params PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_init_keys_replicate PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_predict PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_init_keys_replicate PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_predict PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_transform_untransform PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_start_params PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_plot_diagnostics PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_init_keys_replicate PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_results PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_start_params PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_predict PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_loglike PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_transform_untransform PASSED [ 46%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exog_trend_polynomial_missing::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exog_trend_polynomial_missing::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exog_trend_polynomial_missing::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exog_trend_polynomial_missing::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exog_trend_polynomial_missing::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exog_trend_polynomial_missing::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exog_trend_polynomial_missing::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineStateDifferencing::test_bse_approx PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineStateDifferencing::test_mle PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineStateDifferencing::test_hqic PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineStateDifferencing::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineStateDifferencing::test_bic PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineStateDifferencing::test_aic PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineStateDifferencing::test_standardized_forecasts_error PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineStateDifferencing::test_bse PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineStateDifferencing::test_bse_oim PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestSeasonalARMADiffuse::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestSeasonalARMADiffuse::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestSeasonalARMADiffuse::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestSeasonalARMADiffuse::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestSeasonalARMADiffuse::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestSeasonalARMADiffuse::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestSeasonalARMADiffuse::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHamilton::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHamilton::test_aic PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHamilton::test_bic PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHamilton::test_hqic PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHamilton::test_bse_approx PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHamilton::test_bse PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHamilton::test_mle PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHamilton::test_bse_oim PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHamilton::test_standardized_forecasts_error PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanMLERegression::test_mle PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanMLERegression::test_standardized_forecasts_error PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanMLERegression::test_hqic PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanMLERegression::test_bse_oim PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanMLERegression::test_bic PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanMLERegression::test_aic PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanMLERegression::test_bse_approx PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanMLERegression::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanMLERegression::test_bse PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_as_polynomial::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_as_polynomial::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_as_polynomial::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_as_polynomial::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_as_polynomial::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_as_polynomial::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_as_polynomial::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_loglike PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_predict PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_results PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_init_keys_replicate PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_plot_diagnostics PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_start_params PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_transform_untransform PASSED [ 47%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_results PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_predict PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_plot_diagnostics PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_init_keys_replicate PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_transform_untransform PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_start_params PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_results PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_predict PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_plot_diagnostics PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_results PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_predict PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_transform_untransform PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_start_params PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_init_keys_replicate PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_transform_untransform PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_init_keys_replicate PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_results PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_predict PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_plot_diagnostics PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_start_params PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_init_keys_replicate PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_results PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_predict PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_start_params PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_plot_diagnostics PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_transform_untransform PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanForecast::test_hqic PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanForecast::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanForecast::test_forecast PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanForecast::test_aic PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanForecast::test_bic PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanForecast::test_dynamic_forecast PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanForecast::test_standardized_forecasts_error PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_init_keys_replicate PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_results PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_predict PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_plot_diagnostics PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_transform_untransform PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_start_params PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_results PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_predict PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_transform_untransform PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_plot_diagnostics PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_init_keys_replicate PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_start_params PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_plot_diagnostics PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_transform_untransform PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_predict PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_results PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_start_params PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_init_keys_replicate PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_init_keys_replicate PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_plot_diagnostics PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_predict PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_start_params PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_results PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_transform_untransform PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_transform_untransform PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_predict PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_results PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_start_params PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_init_keys_replicate PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_plot_diagnostics PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_results PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_plot_diagnostics PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_predict PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_init_keys_replicate PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_transform_untransform PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_start_params PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_init_keys_replicate PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_start_params PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_predict PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_transform_untransform PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_plot_diagnostics PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_results PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_standardized_forecasts_error PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_bse_oim PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_bic PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_aic PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_hqic PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_bse PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_bse_approx PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_mle PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_bse_robust PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_results PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_predict PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_init_keys_replicate PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_transform_untransform PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_start_params PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_plot_diagnostics PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_results PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_predict PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_plot_diagnostics PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_start_params PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_transform_untransform PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_init_keys_replicate PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_transform_untransform PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_start_params PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_init_keys_replicate PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_predict PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_results PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_plot_diagnostics PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanPredict::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanPredict::test_predict PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanPredict::test_hqic PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanPredict::test_aic PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanPredict::test_bic PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanPredict::test_standardized_forecasts_error PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanPredict::test_dynamic_predict PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_plot_diagnostics PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_init_keys_replicate PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_transform_untransform PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_predict PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_results PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_start_params PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMADiffuse::test_aic PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMADiffuse::test_bic PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMADiffuse::test_standardized_forecasts_error PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMADiffuse::test_bse PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMADiffuse::test_bse_oim PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMADiffuse::test_hqic PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMADiffuse::test_mle PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMADiffuse::test_bse_approx PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMADiffuse::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_predict PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_results PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_init_keys_replicate PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_start_params PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_plot_diagnostics PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_transform_untransform PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_results_params PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHarvey::test_bic PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHarvey::test_aic PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHarvey::test_bse_oim PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHarvey::test_bse PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHarvey::test_hqic PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHarvey::test_mle PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHarvey::test_bse_approx PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHarvey::test_loglike PASSED [ 48%] statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHarvey::test_standardized_forecasts_error PASSED [ 48%] statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_init_exog_tvtp PASSED [ 48%] statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_init_endog PASSED [ 48%] statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_logistic PASSED [ 48%] statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_partials_logistic PASSED [ 48%] statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_initial_probabilities PASSED [ 48%] statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_transition_matrix PASSED [ 48%] statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_params PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_evaluate PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_kernel_constants PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_compare PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_density XFAIL [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussFFT::test_density PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussFFT::test_evaluate PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::test_fit_self PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::test_kde_bw_positive PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::test_kdensity_result_object_true[kdensityfft] PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::test_entropy_finite_domain_kernel[biw] PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::test_entropy_finite_domain_kernel[uni] PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::test_entropy_finite_domain_kernel[triw] PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::test_kdensity_result_object_default[kdensity] PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::test_entropy_infinite_domain_kernel PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::test_entropy_finite_domain_kernel[cos] PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::test_kdensity_result_object_default[kdensityfft] PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::test_entropy_finite_domain_kernel[epa] PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::test_kdensity_result_object_true[kdensity] PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::test_entropy_finite_domain_kernel[tri] PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_density XFAIL [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_compare PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_kernel_constants PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_evaluate PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_icdf_gridded PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_sf_gridded PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_density PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_evaluate PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_support_gridded PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_cdf_gridded PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestNormConstant::test_norm_constant_calculation PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_evaluate SKIPPED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_compare PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_kernel_constants PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_density XFAIL [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_density XFAIL [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_compare PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_kernel_constants PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_evaluate PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEEpanechnikov::test_evaluate PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEEpanechnikov::test_density PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_kernel_constants PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_evaluate PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_density XFAIL [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_compare PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_wrong_weight_length_exception PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_check_is_fit_exception PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_non_gaussian_fft_exception PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_non_weighted_fft_exception PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDETriangular::test_evaluate PASSED [ 48%] statsmodels/nonparametric/tests/test_kde.py::TestKDETriangular::test_density PASSED [ 49%] statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_density PASSED [ 49%] statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_cdf_gridded PASSED [ 49%] statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_support_gridded PASSED [ 49%] statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_evaluate PASSED [ 49%] statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_icdf_gridded PASSED [ 49%] statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_sf_gridded PASSED [ 49%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_kernel_constants PASSED [ 49%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_compare PASSED [ 49%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_density XFAIL [ 49%] statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_evaluate PASSED [ 49%] statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_float_bandwidth[True] PASSED [ 49%] statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_custom_bandwidth PASSED [ 49%] statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_standard_custom_bandwidth PASSED [ 49%] statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_float_bandwidth[False] PASSED [ 49%] statsmodels/nonparametric/tests/test_kde.py::TestKDEBiweight::test_density PASSED [ 49%] statsmodels/nonparametric/tests/test_kde.py::TestKDEBiweight::test_evaluate PASSED [ 49%] statsmodels/nonparametric/tests/test_kde.py::TestKdeWeights::test_density PASSED [ 49%] statsmodels/nonparametric/tests/test_kde.py::TestKdeWeights::test_evaluate PASSED [ 49%] statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_input_validation_unknown_method PASSED [ 49%] statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_statistics_for_1d_input PASSED [ 49%] statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_fallback_to_asym_method PASSED [ 49%] statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_dcor PASSED [ 49%] statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_input_validation_nobs PASSED [ 49%] statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_dcov PASSED [ 49%] statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_results_on_the_quakes_dataset PASSED [ 49%] statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_results_on_the_iris_dataset PASSED [ 49%] statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_statistic_value_emp_method PASSED [ 49%] statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_statistics_for_2d_input PASSED [ 49%] statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_statistic_value_asym_method PASSED [ 49%] statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_dvar PASSED [ 49%] statsmodels/emplike/tests/test_regression.py::TestRegressionPowell::test_ci_beta1 PASSED [ 49%] statsmodels/emplike/tests/test_regression.py::TestRegressionPowell::test_hypothesis_beta2 PASSED [ 49%] statsmodels/emplike/tests/test_regression.py::TestRegressionPowell::test_hypothesis_beta3 PASSED [ 49%] statsmodels/emplike/tests/test_regression.py::TestRegressionPowell::test_ci_beta0 PASSED [ 49%] statsmodels/emplike/tests/test_regression.py::TestRegressionPowell::test_ci_beta2 PASSED [ 49%] statsmodels/emplike/tests/test_regression.py::TestRegressionPowell::test_hypothesis_beta1 PASSED [ 49%] statsmodels/emplike/tests/test_regression.py::TestRegressionPowell::test_hypothesis_beta0 PASSED [ 49%] statsmodels/emplike/tests/test_regression.py::TestRegressionPowell::test_ci_beta3 PASSED [ 49%] statsmodels/emplike/tests/test_regression.py::TestRegressionNM::test_hypothesis_beta2 PASSED [ 49%] statsmodels/emplike/tests/test_regression.py::TestRegressionNM::test_ci_beta3 PASSED [ 49%] statsmodels/emplike/tests/test_regression.py::TestRegressionNM::test_ci_beta2 PASSED [ 49%] statsmodels/emplike/tests/test_regression.py::TestRegressionNM::test_hypothesis_beta3 PASSED [ 49%] statsmodels/emplike/tests/test_regression.py::TestRegressionNM::test_ci_beta0 PASSED [ 49%] statsmodels/emplike/tests/test_regression.py::TestRegressionNM::test_hypothesis_beta1 PASSED [ 49%] statsmodels/emplike/tests/test_regression.py::TestRegressionNM::test_hypothesis_beta0 PASSED [ 49%] statsmodels/emplike/tests/test_regression.py::TestRegressionNM::test_ci_beta1 PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0-True-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_has_nan[250-3-True-False-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0-False-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0-False-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0-True-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_raise[250-3-True-False-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0-None-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0-None-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_save_load[250-3-True-False-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_has_nan[250-3-False-True-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_save_load[250-3-False-True-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0.1-True-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0.1-True-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_raise[250-3-False-True-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0.1-False-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0.1-False-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0.1-None-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0.1-None-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-True-True-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_expanding[250-3-True-True-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-True-0-pinv] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-True-0-lstsq] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-True-0-False] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-True-0-inv] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-True-0-True] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-True-0.1-False] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_methods[250-0-True-True-0.1-False] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-True-0.1-pinv] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_methods[250-0-True-True-0.1-True] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-0-True-True-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-True-0.1-lstsq] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-True-0.1-inv] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_expanding[250-0-True-True-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_methods[250-0-True-False-0.1-False] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-False-0.1-pinv] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_methods[250-0-True-False-0.1-True] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-0-True-False-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_expanding[250-0-True-False-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-False-0.1-inv] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-False-0.1-lstsq] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-False-0-False] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-False-0-lstsq] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-False-0-inv] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-False-0-pinv] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-True-False-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_expanding[250-3-True-False-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-False-0-True] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0.1-False-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0.1-False-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_raise[250-3-False-False-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0.1-None-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0.1-None-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0.1-True-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_save_load[250-3-False-False-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_has_nan[250-3-False-False-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0.1-True-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_save_load[250-3-True-False-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_has_nan[250-3-True-False-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0.1-None-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0.1-False-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0.1-None-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_raise[250-3-True-False-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0.1-True-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0.1-True-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0.1-False-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_expanding[250-3-False-True-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-False-True-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_methods[250-3-False-True-0.1-False] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-True-0.1-inv] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-True-0.1-lstsq] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-True-0.1-pinv] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_methods[250-3-False-True-0.1-True] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-False-0-pinv] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_methods[250-3-False-False-0-False] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_expanding[250-3-False-False-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-False-0-lstsq] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-False-0-inv] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_methods[250-3-False-False-0-True] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-False-False-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_methods[250-0-True-True-0-True] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_methods[250-0-True-True-0-False] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-True-0-lstsq] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_expanding[250-0-True-True-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-True-0-inv] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-0-True-True-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-True-0-pinv] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_expanding[250-3-True-False-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-False-0.1-pinv] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-True-False-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-False-0.1-False] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-False-0.1-True] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-False-0.1-lstsq] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-False-0.1-inv] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-False-0.1-pinv] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_methods[250-3-False-False-0.1-True] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-False-False-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-False-0.1-lstsq] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-False-0.1-inv] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_expanding[250-3-False-False-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_methods[250-3-False-False-0.1-False] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0.1-None-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_save_load[250-3-True-True-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0.1-None-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_has_nan[250-3-True-True-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0.1-False-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_raise[250-3-True-True-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0.1-False-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0.1-True-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0.1-True-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-False-0.1-False] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-False-0-False] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0-None-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0-None-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_has_nan[250-0-True-True-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0-True-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0-False-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_raise[250-0-True-True-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0-True-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0-False-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_save_load[250-0-True-True-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-True-0-True] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_save_load[250-3-False-True-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0-None-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0-True-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_raise[250-3-False-True-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0-True-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0-False-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0-False-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_has_nan[250-3-False-True-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0-None-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0.1-None-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_save_load[250-0-True-True-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0.1-False-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0.1-False-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0.1-None-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_has_nan[250-0-True-True-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_raise[250-0-True-True-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0.1-True-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0.1-True-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0-True-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0-None-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0-False-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_save_load[250-3-True-True-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0-None-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_raise[250-3-True-True-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0-True-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_has_nan[250-3-True-True-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0-False-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0.1-True-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0.1-True-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_save_load[250-0-True-False-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_has_nan[250-0-True-False-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0.1-None-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0.1-None-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0.1-False-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_raise[250-0-True-False-0.1] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0.1-False-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-False-0-True] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0-True-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_save_load[250-3-False-False-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0-True-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0-False-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0-None-HC0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_raise[250-3-False-False-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_has_nan[250-3-False-False-0] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0-None-nonrobust] PASSED [ 49%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0-False-HC0] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-True-0.1-pinv] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-True-0.1-False] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-True-0.1-inv] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-True-0.1-lstsq] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-True-True-0.1] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_expanding[250-3-True-True-0.1] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-True-0.1-True] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-True-0-inv] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_methods[250-3-False-True-0-True] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_expanding[250-3-False-True-0] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-True-0-lstsq] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-False-True-0] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_methods[250-3-False-True-0-False] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-True-0-pinv] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-False-0-False] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_has_nan[250-0-True-False-0] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0-True-nonrobust] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0-True-HC0] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0-False-HC0] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0-False-nonrobust] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_raise[250-0-True-False-0] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0-None-nonrobust] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0-None-HC0] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_save_load[250-0-True-False-0] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-True-0.1-False] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-False-0.1-True] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_methods[250-0-True-False-0-True] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-0-True-False-0] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-False-0-lstsq] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_methods[250-0-True-False-0-False] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-False-0-inv] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-False-0-pinv] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_expanding[250-0-True-False-0] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-True-0-False] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-True-0-True] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-False-0-False] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_error PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-False-0.1-True] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-False-0-True] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-False-0.1-False] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-True-0.1-True] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_formula PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-False-0-True] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-True-0-True] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-True-0.1-False] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_plot PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-True-0.1-True] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-True-0-False] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-True-0-False] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-True-0.1-True] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-False-0.1-False] PASSED [ 50%] statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-False-0.1-True] PASSED [ 50%] statsmodels/sandbox/panel/tests/test_correlation_structures.py::test_arcovariance_whiten_after_ar_coefs_construction XFAILs (no underscore), but .whiten() reads self.ar_coefs (with underscore) -- a typo that means .whiten() always raises AttributeError when the instance was built via the ar_coefs= constructor path.) [ 50%] statsmodels/sandbox/panel/tests/test_correlation_structures.py::test_corr_ar_pads_short_ar PASSED [ 50%] statsmodels/sandbox/panel/tests/test_correlation_structures.py::test_whiten_ar_matches_manual_ar1_transform PASSED [ 50%] statsmodels/sandbox/panel/tests/test_correlation_structures.py::test_arcovariance_corr_from_ar PASSED [ 50%] statsmodels/sandbox/panel/tests/test_correlation_structures.py::test_corr2cov_roundtrip_with_cov2corr PASSED [ 50%] statsmodels/sandbox/panel/tests/test_correlation_structures.py::test_yule_walker_acov_default_method_is_broken PASSED [ 50%] statsmodels/sandbox/panel/tests/test_correlation_structures.py::test_corr_equi PASSED [ 50%] statsmodels/sandbox/panel/tests/test_correlation_structures.py::test_corr_arma PASSED [ 50%] statsmodels/sandbox/panel/tests/test_correlation_structures.py::test_arcovariance_corr_from_ar_coefs PASSED [ 50%] statsmodels/sandbox/panel/tests/test_correlation_structures.py::test_whiten_ar_order_zero_is_identity PASSED [ 50%] statsmodels/sandbox/panel/tests/test_correlation_structures.py::test_corr2cov_scalar_std PASSED [ 50%] statsmodels/sandbox/panel/tests/test_correlation_structures.py::test_arcovariance_cov XFAILs it as self.sigma, so .cov() always raises AttributeError. Separately, .cov() calls cov2corr(self.corr(...), self.sigma) -- cov2corr converts covariance to correlation, the opposite of what a method named .cov() should be doing; it likely meant to call this module's own corr2cov(corr, std) instead.) [ 50%] statsmodels/sandbox/panel/tests/test_correlation_structures.py::test_corr_ar_truncates_long_ar XFAILars; when `ar` is already >= k_vars long it is passed to toeplitz() unmodified/untruncated, so the returned matrix has shape (len(ar), len(ar)) instead of the documented (k_vars, k_vars).) [ 50%] statsmodels/sandbox/panel/tests/test_correlation_structures.py::test_yule_walker_acov_with_valid_method PASSED [ 50%] statsmodels/sandbox/panel/tests/test_correlation_structures.py::test_arcovariance_fit_with_explicit_method PASSED [ 50%] statsmodels/sandbox/panel/tests/test_correlation_structures.py::test_arcovariance_ar_and_ar_coefs_constructions_are_equivalent PASSED [ 50%] statsmodels/sandbox/panel/tests/test_correlation_structures.py::test_arcovariance_fit_default_method XFAILs) without a method= kwarg, hitting the same broken default as test_yule_walker_acov_default_method_is_broken, so .fit() always raises unless the caller passes method= explicitly.) [ 50%] statsmodels/sandbox/panel/tests/test_correlation_structures.py::test_arcovariance_whiten_after_ar_construction XFAILar= or ar_coefs=) ever sets self.order, so .whiten() always raises AttributeError regardless of how the instance was built.) [ 50%] statsmodels/sandbox/panel/tests/test_correlation_structures.py::test_whiten_ar_2d PASSED [ 50%] statsmodels/tsa/statespace/tests/test_models.py::test_large_kposdef PASSED [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_smoothed_states SKIPPED_posdef > k_states. However, this test could be used if models of those types were allowed) [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_loglike SKIPPED_posdef > k_states. However, this test could be used if models of those types were allowed) [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_forecasts_error_cov SKIPPED_posdef > k_states. However, this test could be used if models of those types were allowed) [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_predicted_states_cov SKIPPED_posdef > k_states. However, this test could be used if models of those types were allowed) [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_smoothed_measurement_disturbance_cov SKIPPED_posdef > k_states. However, this test could be used if models of those types were allowed) [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_forecasts SKIPPED_posdef > k_states. However, this test could be used if models of those types were allowed) [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_predicted_states SKIPPED_posdef > k_states. However, this test could be used if models of those types were allowed) [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_forecasts_error SKIPPED_posdef > k_states. However, this test could be used if models of those types were allowed) [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_scaled_smoothed_estimator SKIPPED_posdef > k_states. However, this test could be used if models of those types were allowed) [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_smoothed_state_disturbance_cov SKIPPED_posdef > k_states. However, this test could be used if models of those types were allowed) [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_smoothed_measurement_disturbance SKIPPED_posdef > k_states. However, this test could be used if models of those types were allowed) [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_dimensions SKIPPED_posdef > k_states. However, this test could be used if models of those types were allowed) [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_smoothed_states_cov SKIPPED_posdef > k_states. However, this test could be used if models of those types were allowed) [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_smoothed_state_disturbance SKIPPED_posdef > k_states. However, this test could be used if models of those types were allowed) [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_scaled_smoothed_estimator_cov SKIPPED_posdef > k_states. However, this test could be used if models of those types were allowed) [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_smoothed_state_disturbance_cov PASSED [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_smoothed_states PASSED [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_scaled_smoothed_estimator_cov PASSED [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_forecasts PASSED [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_smoothed_measurement_disturbance_cov PASSED [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_smoothed_state_disturbance PASSED [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_scaled_smoothed_estimator PASSED [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_forecasts_error_cov PASSED [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_loglike PASSED [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_smoothed_measurement_disturbance PASSED [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_smoothed_forecasts PASSED [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_smoothed_states_cov PASSED [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_forecasts_error PASSED [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_predicted_states_cov PASSED [ 50%] statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_predicted_states PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::test_qr_equiv[cov_info6] PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::test_qr_equiv[cov_info7] PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::test_qr_equiv[cov_info5] PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::test_qr_equiv[cov_info4] PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::test_qr_equiv[cov_info1] PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::test_qr_equiv[cov_info0] PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::test_cov_type_fixed_scale PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::test_qr_equiv[cov_info2] PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::test_qr_equiv[cov_info3] PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::test_qr_equiv[cov_info8] PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_compare PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_basic PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_f_test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_scale PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_ttest PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_fvalue SKIPPED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_tests PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_t_test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_confint PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_t_test_summary_frame PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_t_test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_basic PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_compare PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_scale PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_tests PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_f_test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_ttest PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_t_test_summary_frame PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_fvalue SKIPPED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_confint PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust1::test_tests PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust1::test_f_test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust1::test_basic PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust1::test_t_test_summary_frame PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust1::test_qr_equiv PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust1::test_t_test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_compare PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_scale PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_basic PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_qr_equiv PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_t_test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_t_test_summary_frame PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_confint PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_fvalue PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_tests PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_f_test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_ttest PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_f_value SKIPPED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_tests PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_fvalue SKIPPED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_confint PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_ttest PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_f_test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_scale PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_compare PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_basic PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_t_test_summary_frame PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_t_test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_confint PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_f_test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_basic PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_scale PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_t_test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_tests PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_ttest PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_compare PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_fvalue PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_t_test_summary_frame PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_ttest PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_t_test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_tests PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_fvalue SKIPPED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_compare PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_f_test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_basic PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_t_test_summary_frame PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_scale PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_confint PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_t_test_summary_frame PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_fvalue PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_f_test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_compare PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_ttest PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_tests PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_scale PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_confint PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_t_test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_qr_equiv PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_basic PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestClusterJKvsRSandwich::test_ols_vs_r_sandwich[cluster-jk-results_cluster_jk_sandwich_r] PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestClusterJKvsRSandwich::test_wls_vs_r_sandwich[cluster-jk-results_cluster_jk_wls_sandwich_r] PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestClusterJKvsRSandwich::test_wls_vs_r_sandwich[cluster-crv3-results_cluster_crv3_wls_sandwich_r] PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestClusterJKvsRSandwich::test_r_sandwich_agrees_with_r_summclust PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestClusterJKvsRSandwich::test_ols_vs_r_sandwich[cluster-crv3-results_cluster_crv3_sandwich_r] PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_confint PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_f_test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_basic PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_keyword PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_scale PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_fvalue SKIPPED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_ttest PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_compare PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_t_test_summary_frame PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_t_test_summary PASSED [ 50%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_tests PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestClusterJackknifeRegressions::test_description_matches_cov_type[cluster-crv3-(CRV3)] PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestClusterJackknifeRegressions::test_noncontiguous_integer_labels_match_contiguous[cluster-crv3] PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestClusterJackknifeRegressions::test_glm_raises_clear_error[cluster-jk] PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestClusterJackknifeRegressions::test_fixed_effect_collinear_with_cluster_raises[cluster-crv3] PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestClusterJackknifeRegressions::test_df_correction_adjusts_df_resid_inference[cluster-crv3] PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestClusterJackknifeRegressions::test_two_way_clustering_not_supported[cluster-jk] PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestClusterJackknifeRegressions::test_two_way_clustering_not_supported[cluster-crv3] PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestClusterJackknifeRegressions::test_cov_cluster_rejects_unknown_crv_type[bogus] PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestClusterJackknifeRegressions::test_cov_cluster_rejects_unknown_crv_type[cluster_jk] PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestClusterJackknifeRegressions::test_single_cluster_raises[cluster-jk] PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestClusterJackknifeRegressions::test_description_matches_cov_type[cluster-(CRV1)] PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestClusterJackknifeRegressions::test_glm_raises_clear_error[cluster-crv3] PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestClusterJackknifeRegressions::test_fixed_effect_collinear_with_cluster_raises[cluster-jk] PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestClusterJackknifeRegressions::test_single_cluster_raises[cluster-crv3] PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestClusterJackknifeRegressions::test_cov_cluster_rejects_unknown_crv_type[CRV3] PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestClusterJackknifeRegressions::test_noncontiguous_integer_labels_match_contiguous[cluster-jk] PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestClusterJackknifeRegressions::test_description_matches_cov_type[cluster-jk-cluster correlation] PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestClusterJackknifeRegressions::test_df_correction_adjusts_df_resid_inference[cluster-jk] PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_basic PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_confint PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_f_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_scale PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_tests PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_fvalue SKIPPED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_ttest PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_compare PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_t_test_summary_frame PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_t_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_tests PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_confint PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_ttest PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_t_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_fvalue PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_basic PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_f_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_compare PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_t_test_summary_frame PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_scale PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_scale PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_basic PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_t_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_compare PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_fvalue SKIPPED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_t_test_summary_frame PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_ttest PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_confint PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_tests PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_f_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_ttest PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_fvalue PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_compare PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_tests PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_t_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_confint PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_t_test_summary_frame PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_basic PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_f_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_scale PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_t_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_basic PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_scale PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_confint PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_fvalue SKIPPED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_ttest PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_f_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_t_test_summary_frame PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_tests PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_compare PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_t_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_scale PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_basic PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_compare PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_fvalue PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_f_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_basic_inference PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_tests PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_confint PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_t_test_summary_frame PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_ttest PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2::test_basic PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2::test_f_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2::test_tests PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2::test_t_test_summary_frame PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2::test_t_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2::test_qr_equiv PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_basic PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_f_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_t_test_summary_frame PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_scale PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_compare PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_qr_equiv PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_ttest PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_tests PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_t_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_confint SKIPPED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_fvalue SKIPPED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_too_many_groups PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_t_test_summary_frame PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_ttest PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_compare PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_t_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_tests PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_scale PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_2way_dataframe PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_fvalue PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_f_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_confint PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_basic PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestWLSOLSRobustSmall::test_all PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestWLSOLSRobustSmall::test_fixed_scale PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust3::test_tests PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust3::test_qr_equiv PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust3::test_f_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust3::test_t_test_summary_frame PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust3::test_basic PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobust3::test_t_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterJK::test_hc3_vs_crv3 PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterJK::test_cr3_vs_r PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacSmall::test_f_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacSmall::test_basic PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacSmall::test_t_test_summary_frame PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacSmall::test_t_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacSmall::test_tests PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacSmall::test_qr_equiv PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustClusterJK::test_cr3_vs_r PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestWLSRobustClusterJK::test_hc3_vs_crv3 PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacLarge::test_tests PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacLarge::test_f_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacLarge::test_qr_equiv PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacLarge::test_t_test_summary_frame PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacLarge::test_basic PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacLarge::test_t_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_t_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_basic PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_compare PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_scale PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_t_test_summary_frame PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_fvalue SKIPPED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_confint PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_f_test_summary PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_ttest PASSED [ 51%] statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_tests PASSED [ 51%] statsmodels/genmod/tests/test_score_test.py::test_score_test_invalid_hypothesis_raises PASSED [ 51%] statsmodels/genmod/tests/test_score_test.py::TestScoreTestGaussian::test_wald_score PASSED [ 51%] statsmodels/genmod/tests/test_score_test.py::TestScoreTestDispersed::test_dispersion PASSED [ 51%] statsmodels/genmod/tests/test_score_test.py::TestScoreTestDispersed::test_wald_score PASSED [ 51%] statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoisson::test_wald_score PASSED [ 51%] statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoisson::test_dispersion PASSED [ 51%] statsmodels/genmod/tests/test_score_test.py::TestScoreTest::test_dispersion PASSED [ 51%] statsmodels/genmod/tests/test_score_test.py::TestScoreTest::test_wald_score PASSED [ 51%] statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoissonDispersed::test_dispersion PASSED [ 51%] statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoissonDispersed::test_wald_score PASSED [ 51%] statsmodels/tsa/statespace/tests/test_var.py::test_var_ct_as_exog1 PASSED [ 51%] statsmodels/tsa/statespace/tests/test_var.py::test_var_ct PASSED [ 51%] statsmodels/tsa/statespace/tests/test_var.py::test_var_c_2exog PASSED [ 51%] statsmodels/tsa/statespace/tests/test_var.py::test_var_ct_exog PASSED [ 51%] statsmodels/tsa/statespace/tests/test_var.py::test_var_ct_as_exog0 PASSED [ 51%] statsmodels/tsa/statespace/tests/test_var.py::test_var_c PASSED [ 51%] statsmodels/tsa/statespace/tests/test_var.py::test_var_basic PASSED [ 51%] statsmodels/tsa/statespace/tests/test_var.py::test_var_ctt PASSED [ 51%] statsmodels/tsa/arima/tests/test_params.py::test_is_invertible PASSED [ 51%] statsmodels/tsa/arima/tests/test_params.py::test_set_poly_short_lags_nonconsecutive PASSED [ 51%] statsmodels/tsa/arima/tests/test_params.py::test_set_params_single PASSED [ 51%] statsmodels/tsa/arima/tests/test_params.py::test_init PASSED [ 51%] statsmodels/tsa/arima/tests/test_params.py::test_set_params_single_nonconsecutive PASSED [ 51%] statsmodels/tsa/arima/tests/test_params.py::test_set_poly_longer_lags PASSED [ 51%] statsmodels/tsa/arima/tests/test_params.py::test_set_params_multiple PASSED [ 51%] statsmodels/tsa/arima/tests/test_params.py::test_is_stationary PASSED [ 51%] statsmodels/tsa/arima/tests/test_params.py::test_set_poly_short_lags PASSED [ 51%] statsmodels/tsa/arima/tests/test_params.py::test_repr_str PASSED [ 51%] statsmodels/tsa/arima/tests/test_params.py::test_is_valid PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::test_approx_hess_matches_approx_hess3 PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::test_dtypes PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::test_vectorized PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::test_approx_hess_alias_does_not_mutate_approx_hess3_doc PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_hess_fun1_cs PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_grad_fun1_cs PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_grad_fun1_fd PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_grad_fun1_fdc PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_hess_fun1_fd PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::TestGradLogit::test_score PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::TestGradLogit::test_hess PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_grad_fun1_fd PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_hess_fun1_fd PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_hess_fun1_cs PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_grad_fun1_fdc PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_grad_fun1_cs PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::TestGradMNLogit::test_hess PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::TestGradMNLogit::test_score PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_hess_fun1_cs PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_cs PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_fd PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_hess_fun1_fd PASSED [ 51%] statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_fdc PASSED [ 51%] statsmodels/emplike/tests/test_origin.py::TestOrigin::test_predict PASSED [ 51%] statsmodels/emplike/tests/test_origin.py::TestOrigin::test_hypothesis_beta1 PASSED [ 51%] statsmodels/emplike/tests/test_origin.py::TestOrigin::test_params PASSED [ 51%] statsmodels/emplike/tests/test_origin.py::TestOrigin::test_el_test_namedtuple PASSED [ 51%] statsmodels/emplike/tests/test_origin.py::TestOrigin::test_llf PASSED [ 51%] statsmodels/emplike/tests/test_origin.py::TestOrigin::test_ci_beta PASSED [ 51%] statsmodels/base/tests/test_transform.py::TestTransform::test_valid_guerrero PASSED [ 51%] statsmodels/base/tests/test_transform.py::TestTransform::test_boxcox_transformation_methods PASSED [ 51%] statsmodels/base/tests/test_transform.py::TestTransform::test_zero_lambda PASSED [ 51%] statsmodels/base/tests/test_transform.py::TestTransform::test_loglik_lambda_estimation PASSED [ 52%] statsmodels/base/tests/test_transform.py::TestTransform::test_unclear_methods PASSED [ 52%] statsmodels/base/tests/test_transform.py::TestTransform::test_guerrero_robust_scale PASSED [ 52%] statsmodels/base/tests/test_transform.py::TestTransform::test_naive_back_transformation PASSED [ 52%] statsmodels/base/tests/test_transform.py::TestTransform::test_unclear_scale_parameter PASSED [ 52%] statsmodels/base/tests/test_transform.py::TestTransform::test_nonpositive PASSED [ 52%] statsmodels/base/tests/test_transform.py::TestTransform::test_invalid_bounds PASSED [ 52%] statsmodels/tests/test_package.py::test_lazy_imports PASSED [ 52%] statsmodels/tests/test_package.py::test_docstring_optimization_compat PASSED [ 52%] statsmodels/tests/test_package.py::test_test_default_args_and_failure_status PASSED [ 52%] statsmodels/tests/test_package.py::test_test_builds_pytest_command_and_reports_success PASSED [ 52%] statsmodels/tests/test_package.py::test_test_exit_true_calls_sys_exit PASSED [ 52%] statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_basic PASSED [ 52%] statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_other PASSED [ 52%] statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_summary PASSED [ 52%] statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_more PASSED [ 52%] statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_basic PASSED [ 52%] statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_other PASSED [ 52%] statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_summary PASSED [ 52%] statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_other PASSED [ 52%] statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_basic PASSED [ 52%] statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_summary PASSED [ 52%] statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_basic PASSED [ 52%] statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_other PASSED [ 52%] statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_summary PASSED [ 52%] statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_summary PASSED [ 52%] statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_basic PASSED [ 52%] statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_other PASSED [ 52%] statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_summary PASSED [ 52%] statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_other PASSED [ 52%] statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_basic PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[mse] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input[bias] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input[rmspe] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[bias] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[bic-bic_sigma] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[meanabs] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input[medianabs] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[hqic-hqic_sigma] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_ic PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[medianbias] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[vare] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input[vare] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input[mse] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[aicc-aicc_sigma] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[rmspe] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[aic-aic_sigma] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[iqr] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[maxabs] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_iqr_axis PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input[maxabs] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input[medianbias] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_eval_measures PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_stde PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input[iqr] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[medianabs] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input[meanabs] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input[rmse] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[rmse] PASSED [ 52%] statsmodels/tools/tests/test_eval_measures.py::test_stde_axis PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMissingArray::test_drop PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMissingArray::test_none PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMissingArray::test_extra_kwargs_2d PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMissingArray::test_endog_only_drop PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMissingArray::test_extra_kwargs_1d PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMissingArray::test_endog_only_raise PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMissingArray::test_mv_endog PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMissingArray::test_raise_no_missing PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMissingArray::test_raise PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFrames::test_endogexog PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFrames::test_orig PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFrames::test_labels PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFrames::test_names PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFrames::test_attach PASSED [ 52%] statsmodels/base/tests/test_data.py::test_alignment PASSED [ 52%] statsmodels/base/tests/test_data.py::test_raise_nonfinite_exog PASSED [ 52%] statsmodels/base/tests/test_data.py::test_dtype_actual_object PASSED [ 52%] statsmodels/base/tests/test_data.py::test_dtype_object PASSED [ 52%] statsmodels/base/tests/test_data.py::test_formula_missing_extra_arrays PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFrameArray::test_names PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFrameArray::test_attach PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFrameArray::test_labels PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFrameArray::test_endogexog PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFrameArray::test_orig PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrays::test_endogexog PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrays::test_attach PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrays::test_names PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrays::test_orig PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrays::test_labels PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMissingPandas::test_raise_no_missing PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMissingPandas::test_raise PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMissingPandas::test_endog_only_raise PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMissingPandas::test_mv_endog PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMissingPandas::test_endog_only_drop PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMissingPandas::test_none PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMissingPandas::test_drop PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMissingPandas::test_labels PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrays1dExog::test_orig PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrays1dExog::test_labels PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrays1dExog::test_names PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrays1dExog::test_endogexog PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrays1dExog::test_attach PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMultipleEqsDataFrames::test_labels PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMultipleEqsDataFrames::test_orig PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMultipleEqsDataFrames::test_attach PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMultipleEqsDataFrames::test_names PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMultipleEqsDataFrames::test_endogexog PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_labels PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_endogexog PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_orig PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_attach PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_names PASSED [ 52%] statsmodels/base/tests/test_data.py::TestSeriesSeries::test_attach PASSED [ 52%] statsmodels/base/tests/test_data.py::TestSeriesSeries::test_names PASSED [ 52%] statsmodels/base/tests/test_data.py::TestSeriesSeries::test_labels PASSED [ 52%] statsmodels/base/tests/test_data.py::TestSeriesSeries::test_orig PASSED [ 52%] statsmodels/base/tests/test_data.py::TestSeriesSeries::test_endogexog PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_attach PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_orig PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_labels PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_endogexog PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_names PASSED [ 52%] statsmodels/base/tests/test_data.py::TestHasConstantLogit::test_hasconst PASSED [ 52%] statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_labels PASSED [ 52%] statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_attach PASSED [ 52%] statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_endogexog PASSED [ 52%] statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_orig PASSED [ 52%] statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_names PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFrameList::test_orig PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFrameList::test_attach PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFrameList::test_labels PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFrameList::test_endogexog PASSED [ 52%] statsmodels/base/tests/test_data.py::TestDataFrameList::test_names PASSED [ 52%] statsmodels/base/tests/test_data.py::TestHasConstantGLM::test_hasconst PASSED [ 52%] statsmodels/base/tests/test_data.py::TestConstant::test_pandas_noconstant PASSED [ 52%] statsmodels/base/tests/test_data.py::TestConstant::test_array_constant PASSED [ 52%] statsmodels/base/tests/test_data.py::TestConstant::test_pandas_constant PASSED [ 52%] statsmodels/base/tests/test_data.py::TestConstant::test_array_noconstant PASSED [ 52%] statsmodels/base/tests/test_data.py::TestListDataFrame::test_attach PASSED [ 52%] statsmodels/base/tests/test_data.py::TestListDataFrame::test_labels PASSED [ 52%] statsmodels/base/tests/test_data.py::TestListDataFrame::test_names PASSED [ 52%] statsmodels/base/tests/test_data.py::TestListDataFrame::test_orig PASSED [ 52%] statsmodels/base/tests/test_data.py::TestListDataFrame::test_endogexog PASSED [ 52%] statsmodels/base/tests/test_data.py::TestHasConstantOLS::test_hasconst PASSED [ 52%] statsmodels/base/tests/test_data.py::TestHandleMissing::test_pandas PASSED [ 52%] statsmodels/base/tests/test_data.py::TestHandleMissing::test_pandas_array PASSED [ 52%] statsmodels/base/tests/test_data.py::TestHandleMissing::test_array_pandas PASSED [ 52%] statsmodels/base/tests/test_data.py::TestHandleMissing::test_arrays PASSED [ 52%] statsmodels/base/tests/test_data.py::TestHandleMissing::test_noop PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_names PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_orig PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_labels PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_attach PASSED [ 52%] statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_endogexog PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_orig PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_endogexog PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_labels PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_names PASSED [ 52%] statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_attach PASSED [ 52%] statsmodels/base/tests/test_data.py::TestLists::test_endogexog PASSED [ 52%] statsmodels/base/tests/test_data.py::TestLists::test_attach PASSED [ 52%] statsmodels/base/tests/test_data.py::TestLists::test_names PASSED [ 52%] statsmodels/base/tests/test_data.py::TestLists::test_labels PASSED [ 52%] statsmodels/base/tests/test_data.py::TestLists::test_orig PASSED [ 52%] statsmodels/graphics/tests/test_dotplot.py::test_invalid_show_names_raises PASSED [ 52%] statsmodels/graphics/tests/test_dotplot.py::test_all PASSED [ 52%] statsmodels/nonparametric/tests/test_lowess.py::test_returns_inputs PASSED [ 52%] statsmodels/nonparametric/tests/test_lowess.py::test_xvals_dtype PASSED [ 52%] statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_frac_2_3 PASSED [ 52%] statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_spike PASSED [ 52%] statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_options PASSED [ 52%] statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_exog_predict PASSED [ 52%] statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_iter_0 PASSED [ 52%] statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_flat[True] PASSED [ 52%] statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_simple PASSED [ 52%] statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_duplicate_xs PASSED [ 52%] statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_import PASSED [ 52%] statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_range PASSED [ 52%] statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_iter_0_3 PASSED [ 52%] statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_delta_rdef PASSED [ 52%] statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_delta_0 PASSED [ 52%] statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_frac_1_5 PASSED [ 52%] statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_delta_1 PASSED [ 52%] statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_flat[False] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case4] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case1] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case0] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[sqrt-a] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case2] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[sqrt-v] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[sqrt] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case3] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[wald] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[waldccv] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[score] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_r PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[exact-c] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[midp-c] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case1] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson_diff[case2] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson_diff[case3] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case0] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson_diff[case1] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case2] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case3] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson_diff[case0] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_ratio_consistency[score-log] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case6] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case7] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case5] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_ratio_consistency[wald-log] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case19] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_consistency[waldccv] PASSED [ 52%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case18] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_ratio_consistency[etest-wald] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case4] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_consistency[score] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case12] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_ratio_consistency[wald] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case13] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case11] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case20] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case15] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case9] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_consistency[wald] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_tost_poisson PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case8] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_ratio_consistency[etest] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case14] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_2indep PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_ratio_consistency[score] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case16] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson_r PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case17] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.1-1000-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.1-1-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.01-100-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.1-1000-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.05-1000-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_power_2indep_invalid_method_var_raises PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.1-10-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.01-100-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.05-10-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.01-1-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.01-1-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.1-10-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.05-10-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.05-10-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.01-10-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.05-100-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.05-1-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.01-10-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.05-1-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.01-1-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.1-1-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.05-100-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.01-1000-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.01-1000-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.1-1-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.05-1-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.05-1000-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.1-100-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.01-10-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.05-1-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.05-1-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.1-100-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.05-1000-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.01-10-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.1-100-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.01-10-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.1-10-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.05-100-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.1-100-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.01-1000-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.1-1-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.1-100-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.01-1000-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.1-1-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.01-1-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.1-10-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_poisson_2indep_invalid_compare_raises PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.01-10-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.01-1-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.05-100-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.01-10-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.01-1-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.01-1-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.1-100-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.01-1-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.01-1000-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.1-1-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.1-100-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.05-1-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.01-100-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.05-10-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.01-100-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.05-1-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.01-100-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.05-1000-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.05-10-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.1-10-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.01-1000-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.01-1000-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.05-1-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.1-1-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_etest_poisson_2indep_alternative_deprecated_alias[s-smaller] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.01-1-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.05-1000-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.1-1000-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.1-1000-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.01-10-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.01-1-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.1-10-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.01-10-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.1-1000-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.1-1-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.01-1000-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.01-100-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.05-1000-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.1-1-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.05-10-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.01-1-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.1-1000-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.1-1000-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.1-10-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.1-10-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.05-100-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.01-10-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.05-100-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.05-100-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.05-100-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.01-10-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.05-1-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.05-10-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.05-1000-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.1-10-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.01-1000-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.01-10-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.05-1-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.05-1000-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.01-10-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.05-1-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.01-1-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.05-100-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.01-1000-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.05-10-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.01-1000-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.1-10-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.1-10-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.1-1-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.05-10-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.1-1000-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.05-100-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.1-100-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.01-10-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.1-10-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.05-100-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.01-1000-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.1-1000-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.01-1-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.1-10-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.01-10-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.01-1-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.1-1000-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.01-1000-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.05-1-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.01-100-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.05-1-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.05-10-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.05-100-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.01-100-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.05-10-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.05-100-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.1-1-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.01-1-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.01-10-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.05-100-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.05-1-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.01-1000-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.1-1000-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.1-1000-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.01-1000-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.01-1000-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.05-1000-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.05-100-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.05-1-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.01-1-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.05-1000-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.05-10-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.05-1-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.05-10-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.01-1000-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.1-1000-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.05-1000-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.05-100-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.1-10-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.01-1000-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.1-1000-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.1-10-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.05-10-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.1-10-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.1-100-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.1-1000-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.01-1-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.1-100-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.05-10-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.01-100-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.05-1-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.01-100-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.1-1000-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.1-100-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.1-1000-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.05-1000-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.05-1-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.01-1000-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.05-1-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.05-100-100] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.01-1000-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.05-100-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.01-100-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.01-100-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.01-1000-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.1-10-10] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.05-100-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.01-1-1] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.05-10-0] PASSED [ 53%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.05-100-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.05-1-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_power_poisson_equal PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.1-100-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.1-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.01-1000-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.1-1000-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.05-100-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.1-10-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.05-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.05-1000-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.1-1-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.05-10-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.05-1-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.01-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.1-1000-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.05-1000-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.1-100-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.05-10-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.05-100-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.01-100-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.1-100-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.1-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.01-1-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.1-10-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.1-10-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.1-1-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.01-100-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.05-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.05-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.1-1000-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.01-1-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.05-10-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.01-1000-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.1-10-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.01-100-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.1-1000-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.01-1-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.05-100-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.01-10-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.1-100-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.05-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.01-100-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.1-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.1-10-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.1-1000-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.01-1-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.05-1000-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.05-1000-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.1-1000-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.01-100-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.05-100-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.05-1-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.01-100-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.05-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.05-10-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.01-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.05-1-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.01-100-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.05-10-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.05-100-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.1-1-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.1-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.1-1000-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.1-1000-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.05-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.01-1000-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.01-1-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.05-10-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.05-10-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.01-1-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.05-10-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.05-1-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.1-1000-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_etest_poisson_2indep_alternative_deprecated_alias[2s-two-sided] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.05-100-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.01-10-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.1-1000-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.05-1000-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.1-1-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.05-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.1-10-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.05-10-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.01-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.1-10-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.1-1000-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.1-1-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.01-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.1-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.01-1-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.1-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.1-1-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.01-1-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.01-1-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.1-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.05-1-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.05-10-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.01-1000-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.05-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.05-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.01-10-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.05-1000-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.1-1-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.1-1000-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.1-1000-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.01-100-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.1-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.05-1000-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.05-10-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.1-10-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.05-1000-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.05-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.1-100-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.1-100-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.1-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.01-1-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.01-1000-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.01-1000-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.1-1000-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.1-1000-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.01-1-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.05-10-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.05-1000-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_etest_poisson_2indep_alternative_deprecated_alias[l-larger] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.01-100-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.05-1-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.1-1000-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.01-10-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.05-1000-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.01-100-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.01-10-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.1-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.01-1-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.05-1000-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.1-1-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.01-1000-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.05-10-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.01-10-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.01-100-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.05-1000-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.01-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.01-100-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.1-1-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.1-100-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.05-10-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.1-10-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.1-100-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.01-1-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.05-10-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.05-1000-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.1-10-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.1-1000-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.1-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.1-100-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.1-1000-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.1-1-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.01-100-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.01-10-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.1-1000-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.01-100-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.01-10-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.1-1000-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.05-1-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.01-100-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.01-1000-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.05-1000-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.1-1-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.01-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.05-10-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.1-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.1-1-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.1-1-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.01-1-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.01-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.05-1-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.1-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.05-100-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.1-1-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.1-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.05-10-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.05-100-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.01-10-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.05-1-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.05-1-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.01-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.05-100-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.05-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.05-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.01-1-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.05-1-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.1-1-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.1-1000-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.01-1000-100] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.1-1-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.1-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.05-1-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.1-100-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.01-100-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.01-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.05-10-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.01-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.1-1-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.05-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.1-10-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.1-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.01-100-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.01-1-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.05-10-0] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.01-1000-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.1-10-1] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.01-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.01-100-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.1-10-10] PASSED [ 54%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.01-1-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.05-10-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.1-1-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.05-1000-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.01-1000-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.01-100-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.01-1-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.05-1000-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.1-1000-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.1-1000-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.1-1-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.1-1-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.05-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.01-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.05-100-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.01-10-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.1-100-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.1-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.1-10-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.01-100-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.01-1000-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.1-100-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.05-100-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.1-10-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.05-1-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.05-1-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.05-1000-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.05-1000-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.05-1000-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.05-1000-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.1-100-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.01-1-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.01-100-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.05-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.01-10-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.1-1000-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.05-100-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.1-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.1-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.01-1000-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.05-100-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.05-100-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.05-1000-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.01-1-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.01-100-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.1-1000-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.01-1-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.05-100-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.1-1000-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.1-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.05-1-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.01-1-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.05-100-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.01-1-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.01-10-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.01-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.1-1000-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.05-1000-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.1-1000-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.1-100-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.05-100-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.1-10-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.1-100-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.01-100-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.1-10-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.1-1-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.1-100-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.01-100-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.05-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.05-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.05-1000-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.1-100-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.05-1000-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.05-1000-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.1-1-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.05-1000-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.01-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.01-100-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.01-1000-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.05-100-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.01-10-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.05-1-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.05-100-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.1-1-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.1-1-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.1-100-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.05-1-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.01-100-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.1-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.1-1000-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.05-10-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.1-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.01-1-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.1-10-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.05-10-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.1-1000-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.05-10-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.01-1-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.1-10-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.01-100-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.01-1000-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.05-10-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.01-10-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.01-1000-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.01-1-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.05-10-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.05-10-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.1-10-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.01-100-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.01-100-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.05-1000-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.01-10-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.1-100-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.01-10-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.01-100-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.05-1-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.1-1-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.1-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.1-100-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.05-1000-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.1-10-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.05-10-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_invalid_y_grid PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.1-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_poisson_power_2ratio PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.05-10-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.05-100-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.05-1-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.01-1000-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.1-1000-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.1-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.01-1-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.1-100-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.01-1000-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.01-1000-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.01-100-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.01-1000-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.05-1-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_poisson_invalid_alternative_raises PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.05-10-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.05-1000-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.01-1000-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.05-1-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.1-10-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.01-10-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.1-10-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.05-10-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.1-100-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.05-1-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.05-1000-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.1-1000-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.05-10-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.1-10-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.1-10-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.01-100-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.1-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.1-1-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.05-1000-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.01-1000-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.01-1000-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.1-100-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.1-10-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.05-1000-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.01-1-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.1-1-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.01-10-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.1-1-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.1-1000-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.05-1000-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.01-1-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.05-1000-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.1-1000-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.01-10-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.1-10-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.1-1000-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.05-1000-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.01-10-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.05-1-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.1-10-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.01-10-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.01-1000-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.05-1000-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.05-1000-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.01-1-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.05-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.1-1-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.1-100-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.1-100-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.05-1000-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.1-1-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.05-100-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.1-100-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.01-100-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.01-100-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.05-10-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.05-1000-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.1-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.1-1-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.1-1000-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.01-10-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.01-10-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.05-1000-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.05-1000-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.1-100-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.05-1-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.01-1000-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.05-1-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.01-1000-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.05-1000-0] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.05-1-10] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.01-100-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.05-1000-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.05-1-1] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.01-1-100] PASSED [ 55%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.05-10-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.1-100-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.1-100-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.1-100-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.1-100-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.1-10-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.05-1-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.05-10-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.1-1-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.01-1000-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.01-100-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.1-100-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.1-1-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.01-1-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.1-1-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.05-1-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.1-10-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.05-1000-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.1-100-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.1-1-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.01-1-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.1-100-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.05-10-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.01-100-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.05-100-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.01-1000-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.01-1000-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.01-100-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.05-10-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.05-100-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.1-1000-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.1-1-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.05-1000-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.05-1000-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.05-10-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.01-100-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.01-100-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.05-10-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.01-10-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.1-10-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.05-1000-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.05-1-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.01-1-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.1-1000-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.01-1000-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.01-100-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.05-100-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.05-1-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.01-100-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.05-10-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.05-100-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.05-100-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.05-10-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_power_negbin PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.1-1000-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.01-100-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.05-10-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.1-1-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.01-1-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.01-100-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.1-1-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.1-1000-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.01-10-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.01-1-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.05-10-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.05-1000-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.1-1000-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.05-1-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.1-1-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.1-10-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.05-10-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.01-100-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.01-100-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.1-10-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.01-10-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.1-100-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.05-1-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.01-1-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.05-1000-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.05-10-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.05-1-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.05-100-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.05-100-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.1-100-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.01-1000-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.01-1-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.05-100-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.01-1000-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.05-1000-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.01-100-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.1-100-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.01-1000-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.01-1-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.01-1000-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.1-1000-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.1-100-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.01-10-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.1-100-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.01-100-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.01-10-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.05-10-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.05-1000-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.01-1000-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.1-1-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.05-1-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.01-10-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.01-10-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.05-1000-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.05-10-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.01-1-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.05-1-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.05-100-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.1-1000-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.05-100-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.1-100-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.1-1000-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.1-1-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.1-1000-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.05-1-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.1-1-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.05-1000-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.01-1-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.01-1000-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.01-1-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.05-1000-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.01-100-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.1-100-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.1-1-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.05-10-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.01-100-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.05-1000-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.01-10-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.1-1000-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.05-1000-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.05-1-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.1-1000-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.01-100-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.01-10-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.01-1000-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.1-10-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.1-1000-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.01-1000-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.1-1000-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.01-100-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.01-100-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.05-10-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.01-1000-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.05-1-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.05-100-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.05-10-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.05-10-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.01-100-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.05-100-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.05-10-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.01-1000-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.01-10-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.01-1-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.01-1-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.05-10-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.01-10-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.05-10-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.1-1000-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.01-1-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.1-1-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.01-1000-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.1-1-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.1-1000-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.1-100-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.1-1-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.01-10-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.1-10-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.01-1000-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.05-1-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.1-1-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.05-10-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.1-10-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.01-100-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.01-1-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.1-1000-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.05-1000-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.05-100-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.05-1000-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.05-1000-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.01-10-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.05-10-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.01-10-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.05-100-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.1-1000-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.1-100-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.1-1-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.01-100-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.05-1-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.01-10-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.05-1-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.1-10-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.01-10-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.1-1-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.1-1-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.01-10-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.1-10-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.1-10-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.01-1000-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.1-100-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.01-1-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.05-100-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.1-100-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.05-1-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.1-10-1] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.05-100-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.01-10-0] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.05-1-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.1-1-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.01-1000-10] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.1-100-100] PASSED [ 56%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.01-1000-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.05-100-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.05-100-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.01-1000-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.1-100-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.1-1-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.05-100-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.1-100-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.01-1000-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.01-1000-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.1-1-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.01-10-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.05-1-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.01-10-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.05-10-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.05-1000-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.1-10-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.05-1-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.01-1000-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.01-1-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.1-1-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.05-1000-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.01-10-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.1-10-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.1-100-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.1-1-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.1-1-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.01-10-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.1-100-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.1-100-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.01-100-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.1-1-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.1-1000-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.01-10-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.01-1000-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.1-10-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.05-1-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.05-1000-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.01-1000-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.01-1000-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.01-1000-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.01-10-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.05-100-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.1-100-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.01-1000-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.01-1000-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.01-10-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.01-10-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.05-100-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.05-1-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.01-1000-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.1-1-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.1-1-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.01-10-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.01-1000-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.1-10-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.01-1000-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.05-1000-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.01-1-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.1-100-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.1-100-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.1-1-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.1-1000-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.01-1000-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.1-10-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.1-100-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.05-1-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.1-1000-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.05-1000-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.1-100-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.1-1-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.05-1000-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.05-1000-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.1-1000-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.05-1000-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.05-1000-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.01-10-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.1-10-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.01-1-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.1-10-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.05-10-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.1-10-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.1-1000-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.1-1-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.05-1000-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.01-10-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.01-10-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.05-100-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.01-1-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.1-1000-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.01-1000-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.1-1-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.05-10-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.05-1-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.05-10-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.05-1000-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.05-1-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.1-10-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.05-10-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.01-1-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.01-1-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.01-10-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.01-1000-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_y_grid_regression PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.01-1000-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.01-1-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.05-10-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.01-10-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.01-1-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.1-1000-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.1-1-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.1-10-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.1-100-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.01-10-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.1-1000-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.01-1-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.05-1-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.1-100-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.05-1-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.05-100-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.1-10-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.05-100-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.05-100-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.1-10-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.01-1000-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.1-1-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.05-1-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.01-10-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.01-10-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.1-100-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.05-10-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.05-100-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.05-1000-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.05-1000-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.1-1000-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.01-100-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.1-100-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.01-1000-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.1-1000-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.05-1000-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.01-10-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.05-100-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.05-10-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.05-1-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.01-100-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.1-10-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.01-10-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.01-100-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.01-1-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.05-1-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.05-100-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.05-10-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.05-10-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.1-10-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.01-100-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.01-1-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.05-1-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.1-1000-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.05-1-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.1-100-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.01-100-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.1-1000-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.1-100-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.05-100-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.1-100-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.01-1-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.01-10-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.01-1-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.05-100-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.1-1000-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.1-10-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.01-100-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.05-1000-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.01-10-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.05-100-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.1-100-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.01-1000-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.1-1000-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-centcc-0.1-10-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.01-100-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-centcc-0.01-1-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.05-1-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.05-100-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.05-10-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.01-1-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.05-1-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.01-100-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.05-1-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.01-100-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.1-1000-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.1-10-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.01-100-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.01-1-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.1-1000-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.05-100-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.1-10-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.1-10-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.01-100-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.1-100-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.1-100-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.01-1-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.01-10-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.01-1-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.05-100-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.01-10-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.1-1000-0] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.01-10-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.1-100-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.05-100-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-score-0.1-100-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.01-1-1] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.01-1000-100] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-a-0.05-100-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-wald-0.1-10-10] PASSED [ 57%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-0.1-100-1] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-jeff-0.1-1000-0] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.05-100-100] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.1-10-1] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-jeff-0.05-100-0] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.01-1000-1] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-v-0.1-100-0] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-midp-c-0.05-1000-100] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-v-0.01-10-100] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-cent-0.1-1-10] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-score-0.05-1-100] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-a-0.01-10-100] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-exact-c-0.01-100-10] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-waldccv-0.05-1-100] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-sqrt-cent-0.1-100-0] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-sqrt-0.05-10-0] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-midp-c-0.01-100-100] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-wald-0.05-100-0] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[larger-exact-c-0.01-1-10] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_alternative[smaller-waldccv-0.05-1000-0] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[exact-c] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-centcc] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-v] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[wald] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-a] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[sqrt-v] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[sqrt-a] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[waldccv] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[score] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-cent] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[exact-c] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[wald] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[midp-c] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[midp-c] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[jeff] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[score] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[waldccv] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[sqrt] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[diff-etest-wald] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-exact-cond] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[diff-score] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[ratio-cond-midp] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[diff-score] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-wald] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[diff-waldccv] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-etest-wald] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-etest-score] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[diff-wald] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[diff-etest-score] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[diff-waldccv] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[diff-wald] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[diff-etest-wald] SKIPPED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[ratio-sqrt] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-cond-midp] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[ratio-score] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[ratio-mover] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[diff-wald] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[ratio-etest-score] SKIPPED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[ratio-exact-cond] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[ratio-score-log] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[ratio-wald] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-score] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[ratio-score] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[ratio-sqrtcc] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-sqrt] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[diff-etest-score] SKIPPED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[diff-waldccv] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[ratio-wald-log] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[ratio-waldcc] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[diff-mover] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[diff-score] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[ratio-etest-wald] SKIPPED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-wald-log] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[ratio-score-log] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[ratio-wald-log] PASSED [ 58%] statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-score-log] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MAdM] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MAA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AMdA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[ANA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AMdM] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AMA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MAdA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MAdA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MMA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MAdN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AAA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MNA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AMdN] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AMdN] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_prediction_results PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AMN] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MMN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AAA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[ANN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MNN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AAdM] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AAN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MAA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MAN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AAdM] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AAN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[ANA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MAdM] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MAdM] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AMA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AMN] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MNA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[ANN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MMA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MAA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MAdA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MAdM] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AMdA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AMdM] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AMdM] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MMA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AMdN] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MNA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MAdN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[10-add-None] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MAdN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MAdN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AAdN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AAM] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MAM] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MNA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[ANM] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_keywords PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MMA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AMM] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MMdA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MNM] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AMdA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AMdA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[ANM] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MMdA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MMM] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AMM] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AAM] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AAdN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MAA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MAA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[ANA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[10-None-add] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MMdN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AMA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_initialization_simple_seasonal_no_trend[False] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AAdN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AAdN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AAdM] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MMA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AAA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_diagnostics_invalid_method_raises PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MMdM] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MNA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AAdA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MMdA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_summary_after_remove_data PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MMdA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MMdM] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MMdM] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MMA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AAN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MNA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MAN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AMdM] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MNN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AMA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MMN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[ANA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MNN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MAA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[ANN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MMN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AMN] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AAA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AMdM] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_summary PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MAN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[ANA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_prediction_results_slow_AAN PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MMdN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AMA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AAdN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_initialization_simple_seasonal_no_trend[None] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_keywords_warnings PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MMdM] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AAdA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AAA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MMdA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AAdM] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AAdM] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AMM] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MAdA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MMM] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[ANM] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MNM] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AAdA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AAdA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MAM] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AAA] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AMdN] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_prediction_results_vs_statespace PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MAM] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AMdN] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_results_vs_statespace PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AAM] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MMdN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MMdN] PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_initialization_known PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AMA] SKIPPED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_bounded_fit PASSED [ 58%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MMM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MAdA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_initialization_simple_seasonal_with_trend[add] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[ANA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MNM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MAdN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[9-add-None] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MAdN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AMN] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[10-None-None] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MMM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[ANN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MNM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AMdN] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MAN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AMdA] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[9-None-None] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AMdA] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MNN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AAN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MAdM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MAM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MMN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MAdA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AMdM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_seasonal_order[estimated] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MAN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AAA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MAM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MNA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AAN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[ANA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AMdM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AMdM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MMA] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MMdM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AMA] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MNM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MMN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[10-add-add] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[ANA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MNN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MMM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MMdM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AMA] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AMN] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AAA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[ANN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MAA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AMdN] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_seasonal_periods PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MMM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AAM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MAN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MAdN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MNM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_initialization_heuristic PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MAdM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MAdM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_ranges PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MAM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MAdA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[ANM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MNN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AMdM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AMdA] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AMM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MMN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MMdN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MNM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MMN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[9-add-add] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MNN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MMM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AAdA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[ANM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_aicc_0_dof PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MAdA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MAdA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AMM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AAdA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MAN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_hessian PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MAM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MMdN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AAM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AMdN] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AMdN] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AAdA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AAdA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MMdA] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AMN] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AAdM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[ANN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MMdM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AAM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MAN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MMdN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_seasonal_order[heuristic] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MMdN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AAdN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[ANM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MNN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AAN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AMM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MMN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AMM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[ANN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MAdM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MMA] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AMN] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[ANM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MNA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MNN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MAA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_exact_prediction_intervals PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AAA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MMN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_score PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MAA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AAM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AAN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MAdM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AMA] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MMA] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[ANA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AAdM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AAdM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MNA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MAN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MMdM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_initialization_simple_seasonal_with_trend[mul] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MMdM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AAdA] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AMN] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MMM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MMdA] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AAM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AAdM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[ANN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MNM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_prediction_results_slow_AAdA PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AAN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MMdN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MAM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[ANM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AAdN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[9-None-add] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AMM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AAM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AAN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AMdA] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AAdN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AAdN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MAM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MAdN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_convergence_simple PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AMM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[ANN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MAdN] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AMN] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[ANM] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MMdA] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MMdA] SKIPPED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MMM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MNM] PASSED [ 59%] statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AMdA] SKIPPED [ 59%] statsmodels/robust/tests/test_norms.py::test_norms_consistent[case3] PASSED [ 59%] statsmodels/robust/tests/test_norms.py::test_norms_consistent[case2] PASSED [ 59%] statsmodels/robust/tests/test_norms.py::test_norm[case1-int] PASSED [ 59%] statsmodels/robust/tests/test_norms.py::test_norms_consistent[case0] PASSED [ 59%] statsmodels/robust/tests/test_norms.py::test_norms_consistent[case1] PASSED [ 59%] statsmodels/robust/tests/test_norms.py::test_norm[case1-complex128] PASSED [ 59%] statsmodels/robust/tests/test_norms.py::test_norms_consistent[case4] PASSED [ 59%] statsmodels/robust/tests/test_norms.py::test_norms_consistent[case5] PASSED [ 59%] statsmodels/robust/tests/test_norms.py::test_norm[case1-float64] PASSED [ 59%] statsmodels/robust/tests/test_norms.py::test_norms_consistent[case7] PASSED [ 59%] statsmodels/robust/tests/test_norms.py::test_norms_consistent[case6] PASSED [ 59%] statsmodels/robust/tests/test_norms.py::test_norm[case2-float64] PASSED [ 59%] statsmodels/robust/tests/test_norms.py::test_norm[case0-float64] PASSED [ 59%] statsmodels/robust/tests/test_norms.py::test_norm[case2-int] PASSED [ 59%] statsmodels/robust/tests/test_norms.py::test_norm[case0-complex128] PASSED [ 59%] statsmodels/robust/tests/test_norms.py::test_norm[case0-int] PASSED [ 59%] statsmodels/robust/tests/test_norms.py::test_norms_consistent[case8] PASSED [ 59%] statsmodels/robust/tests/test_norms.py::test_norm[case2-complex128] PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestTTestPairwiseOLS4::test_default PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::test_ttest_tvalues PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoisson::test_zero_collinear SKIPPED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoisson::test_ttest_tvalues PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoisson::test_ftest_pvalues PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoisson::test_zero_constrained SKIPPED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoisson::test_predict_types PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoisson::test_fitted SKIPPEDuations.GEEResults'>) [ 59%] statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaPoisson::test_combined PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaPoisson::test_categories PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericGLMPoissonOffset::test_ftest_pvalues PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericGLMPoissonOffset::test_zero_collinear PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericGLMPoissonOffset::test_fitted SKIPPEDGLMResults'>) [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericGLMPoissonOffset::test_ttest_tvalues PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericGLMPoissonOffset::test_zero_constrained PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericGLMPoissonOffset::test_predict_types PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_fitted PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_predict_types PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_zero_collinear PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_zero_constrained PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_ttest_tvalues PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_ftest_pvalues PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_ftest_pvalues PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_ttest_tvalues PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_zero_constrained SKIPPED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_zero_collinear PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_predict_types PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_fitted PASSED [ 59%] statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaOLS::test_noformula PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaOLS::test_combined PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaOLS::test_categories PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaOLSF::test_combined PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaOLSF::test_predict_missing PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaOLSF::test_categories PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_predict_types PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_zero_constrained PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_fitted PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_ttest_tvalues PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_zero_collinear PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_ftest_pvalues PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonNaive::test_ttest_tvalues PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonNaive::test_ftest_pvalues PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonNaive::test_zero_constrained SKIPPED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonNaive::test_predict_types PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonNaive::test_fitted SKIPPEDuations.GEEResults'>) [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonNaive::test_zero_collinear SKIPPED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericLogit::test_fitted SKIPPEDults'>) [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericLogit::test_ttest_tvalues PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericLogit::test_zero_collinear PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericLogit::test_ftest_pvalues PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericLogit::test_zero_constrained PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericLogit::test_predict_types PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericNegativeBinomial::test_fitted SKIPPEDBinomialResults'>) [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericNegativeBinomial::test_predict_types PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericNegativeBinomial::test_zero_constrained PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericNegativeBinomial::test_ttest_tvalues PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericNegativeBinomial::test_ftest_pvalues PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericNegativeBinomial::test_zero_collinear PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_ttest_tvalues PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_ftest_pvalues PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_zero_collinear PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_fitted SKIPPEDesults'>) [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_predict_types PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_zero_constrained PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestTTestPairwiseOLS::test_alpha PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestTTestPairwiseOLS::test_default PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaNegBin1::test_combined PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaNegBin1::test_categories PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestTTestPairwiseOLS3::test_default PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonBC::test_fitted SKIPPEDuations.GEEResults'>) [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonBC::test_predict_types PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonBC::test_zero_constrained SKIPPED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonBC::test_zero_collinear SKIPPED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonBC::test_ttest_tvalues PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonBC::test_ftest_pvalues PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaNegBin::test_categories PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaNegBin::test_combined PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaRankDeficient::test_interaction_df_less_than_nominal PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaRankDeficient::test_df_rank_adjusted PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestTTestPairwisePoisson::test_default PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaGLM::test_categories PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaGLM::test_combined PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericRLM::test_zero_collinear PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericRLM::test_predict_types PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericRLM::test_fitted PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericRLM::test_zero_constrained PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericRLM::test_ttest_tvalues PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericRLM::test_ftest_pvalues PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericGLM::test_ttest_tvalues PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericGLM::test_ftest_pvalues PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericGLM::test_predict_types PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericGLM::test_fitted SKIPPEDGLMResults'>) [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericGLM::test_zero_collinear PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericGLM::test_zero_constrained PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestTTestPairwiseOLS2::test_default PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_ttest_tvalues PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_fitted SKIPPEDesults'>) [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_ftest_pvalues PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_zero_collinear PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_predict_types PASSED [ 60%] statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_zero_constrained PASSED [ 60%] statsmodels/stats/tests/test_meta.py::TestEffectsizeBinom::test_effectsize_arcsin PASSED [ 60%] statsmodels/stats/tests/test_meta.py::TestEffectsizeBinom::test_effectsize_risk_ratio PASSED [ 60%] statsmodels/stats/tests/test_meta.py::TestEffectsizeBinom::test_effectsize_odds_ratio PASSED [ 60%] statsmodels/stats/tests/test_meta.py::test_effectsize_2proportions_clip_default_zero_kwds PASSED [ 60%] statsmodels/stats/tests/test_meta.py::test_conf_int_samples PASSED [ 60%] statsmodels/stats/tests/test_meta.py::TestMetaBinOR::test_basic PASSED [ 60%] statsmodels/stats/tests/test_meta.py::TestMetaBinOR::test_plot PASSED [ 60%] statsmodels/stats/tests/test_meta.py::TestMetaK1::test_pm PASSED [ 60%] statsmodels/stats/tests/test_meta.py::TestMetaK1::test_dl PASSED [ 60%] statsmodels/stats/tests/test_meta.py::TestMetaK1::test_tau_kacker PASSED [ 60%] statsmodels/stats/tests/test_meta.py::TestEffSmdMeta::test_smd PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula[case11] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas[case0] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_gev_genextreme[case3] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula_distr[case2] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula[case6] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_gev_genextreme[case2] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula_distr[case3] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula[case7] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula[case10] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas[case1] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_gev_genextreme[case0] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula[case5] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula_distr[case1] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula[case12] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas[case3] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas[case2] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_gev_genextreme[case1] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula[case4] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula_distr[case0] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula[case1] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula_distr[case5] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas_distr[case9] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas[case7] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas_raise[5-case0] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas[case6] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas_raise[5-case1] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula[case0] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula_distr[case4] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas_distr[case8] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas[case4] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula_distr[case6] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula[case2] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula_distr[case7] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula[case3] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas[case5] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula[case9] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_dep[case3] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas_distr[case1] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula[case8] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_dep[case2] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas_distr[case10] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas_distr[case0] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_dep[case0] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas_distr[case2] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_dep[case1] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas_distr[case3] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas_raise[6-case0] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas_distr[case6] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_dep[case4] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas[case8] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas[case9] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas_raise[6-case1] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas_distr[case7] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas[case10] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas_distr[case5] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula_distr[case9] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_copulas_distr[case4] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_ev_copula_distr[case8] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_student_t_copula_spearmans_rho_formula[0.0] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_rvs_kernel_preserves_dependence PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_plot_scatter_raises_for_higher_dim PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_plot_pdf_grid_matches_pdf PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_rvs_kernel_small_bandwidth_stays_near_source PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_student_t_copula_spearmans_rho_formula[0.4] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_tau_simulated[student_t] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_student_t_copula_dependence_tail_formula[0.0-6] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_student_t_copula_dependence_tail_formula[0.5-4] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_tau_simulated[clayton] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_student_t_copula_dependence_tail_formula[-0.3-8] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_gaussian_copula_dependence_tail PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_student_t_copula_spearmans_rho_formula[-0.2] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_plot_scatter_generated_sample PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_student_t_copula_spearmans_rho_simulated PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_rvs_kernel_reproducible_with_rng PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_student_t_copula_dependence_tail_limits PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_tau_simulated[gaussian] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_student_t_copula_spearmans_rho_formula[0.9] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_student_t_copula_dependence_tail_formula[0.8-2] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_student_t_copula_spearmans_rho_formula[-0.7] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_plot_scatter_given_sample PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_tau_simulated[frank] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::test_tau_simulated[gumbel] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestIndependenceCopula::test_rvs PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestIndependenceCopula::test_cdf PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestIndependenceCopula::test_pdf PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestIndependenceCopula::test_validate_params PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestGaussianCopula::test_seed[0] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestGaussianCopula::test_validate_params PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestGaussianCopula::test_seed[generator] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestGaussianCopula::test_rng_types[0] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestGaussianCopula::test_seed[qmc] XFAIL [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestGaussianCopula::test_seed[random_state] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestGaussianCopula::test_rng_types[rng3] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestGaussianCopula::test_seed_default_rng PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestGaussianCopula::test_rng_types[rng2] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestGaussianCopula::test_rvs PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestGaussianCopula::test_cdf PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestGaussianCopula::test_pdf PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestGaussianCopula::test_rng_types[None] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestFrankCopula::test_rng_types[rng2] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestFrankCopula::test_rng_types[rng3] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestFrankCopula::test_seed[0] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestFrankCopula::test_rng_types[None] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestFrankCopula::test_seed_default_rng PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestFrankCopula::test_seed[generator] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestFrankCopula::test_validate_params PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestFrankCopula::test_rng_types[0] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestFrankCopula::test_seed[random_state] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestFrankCopula::test_pdf PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestFrankCopula::test_rvs PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestFrankCopula::test_cdf PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestFrankCopula::test_seed[qmc] XFAIL [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestGumbelCopula_3d::test_rng_types[rng2] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestGumbelCopula_3d::test_rvs PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestGumbelCopula_3d::test_rng_types[rng1] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestGumbelCopula_3d::test_rng_types[0] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestClaytonCopula_3d::test_rvs PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestClaytonCopula_3d::test_rng_types[0] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestClaytonCopula_3d::test_rng_types[rng2] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestClaytonCopula_3d::test_rng_types[rng1] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestStudentTCopula::test_seed[generator] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestStudentTCopula::test_rng_types[0] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestStudentTCopula::test_validate_params PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestStudentTCopula::test_seed[random_state] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestStudentTCopula::test_rng_types[None] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestStudentTCopula::test_seed_default_rng PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestStudentTCopula::test_rng_types[rng2] PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestStudentTCopula::test_rvs PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestStudentTCopula::test_cdf SKIPPED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestStudentTCopula::test_pdf PASSED [ 60%] statsmodels/distributions/copula/tests/test_copula.py::TestStudentTCopula::test_rng_types[rng3] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestStudentTCopula::test_seed[0] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestStudentTCopula::test_seed[qmc] XFAIL [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestClaytonCopula::test_seed[qmc] XFAIL [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestClaytonCopula::test_seed[random_state] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestClaytonCopula::test_validate_params PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestClaytonCopula::test_seed[generator] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestClaytonCopula::test_cdf PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestClaytonCopula::test_rvs PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestClaytonCopula::test_pdf PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestClaytonCopula::test_rng_types[0] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestClaytonCopula::test_seed[0] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestClaytonCopula::test_rng_types[rng3] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestClaytonCopula::test_rng_types[rng2] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestClaytonCopula::test_seed_default_rng PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestClaytonCopula::test_rng_types[None] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestFrankCopula_3d::test_rng_types[rng2] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestFrankCopula_3d::test_rng_types[rng1] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestFrankCopula_3d::test_rvs PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestFrankCopula_3d::test_rng_types[0] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestGaussianCopula3d::test_rvs PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestGaussianCopula3d::test_rng_types[0] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestGaussianCopula3d::test_rng_types[rng2] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestGaussianCopula3d::test_rng_types[rng1] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestFrank::test_tau PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestFrank::test_basic PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestGumbelCopula::test_validate_params PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestGumbelCopula::test_seed[qmc] XFAIL [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestGumbelCopula::test_seed[generator] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestGumbelCopula::test_rng_types[rng3] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestGumbelCopula::test_rng_types[rng2] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestGumbelCopula::test_seed_default_rng PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestGumbelCopula::test_seed[0] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestGumbelCopula::test_rng_types[None] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestGumbelCopula::test_seed[random_state] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestGumbelCopula::test_rng_types[0] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestGumbelCopula::test_pdf PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestGumbelCopula::test_rvs PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestGumbelCopula::test_cdf PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestStudentTCopula3d::test_rvs PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestStudentTCopula3d::test_rng_types[rng2] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestStudentTCopula3d::test_rng_types[rng1] PASSED [ 61%] statsmodels/distributions/copula/tests/test_copula.py::TestStudentTCopula3d::test_rng_types[0] PASSED [ 61%] statsmodels/multivariate/tests/test_cancorr.py::test_cancorr PASSED [ 61%] statsmodels/stats/tests/test_tost.py::test_tost_transform_paired XFAIL [ 61%] statsmodels/stats/tests/test_tost.py::test_tost_log PASSED [ 61%] statsmodels/stats/tests/test_tost.py::test_tost_asym PASSED [ 61%] statsmodels/stats/tests/test_tost.py::test_ttest PASSED [ 61%] statsmodels/stats/tests/test_tost.py::TestTostip2::test_pval PASSED [ 61%] statsmodels/stats/tests/test_tost.py::TestTostp1::test_special PASSED [ 61%] statsmodels/stats/tests/test_tost.py::TestTostp1::test_pval PASSED [ 61%] statsmodels/stats/tests/test_tost.py::TestTosti2::test_pval PASSED [ 61%] statsmodels/stats/tests/test_tost.py::TestTostip1::test_pval PASSED [ 61%] statsmodels/stats/tests/test_tost.py::TestTostp2::test_pval PASSED [ 61%] statsmodels/stats/tests/test_tost.py::TestTosti1::test_pval PASSED [ 61%] statsmodels/robust/tests/test_resistant_linear_model.py::TestRLMDetSMM::test_fit_default_h PASSED [ 61%] statsmodels/robust/tests/test_resistant_linear_model.py::TestRLMDetSMM::test_start_tuple_skips_s_stage PASSED [ 61%] statsmodels/robust/tests/test_resistant_linear_model.py::TestRLMDetSMM::test_breakdown_point_passthrough[0.5] PASSED [ 61%] statsmodels/robust/tests/test_resistant_linear_model.py::TestRLMDetSMM::test_efficiency_close_to_ols_on_clean_data PASSED [ 61%] statsmodels/robust/tests/test_resistant_linear_model.py::TestRLMDetSMM::test_breakdown_point_passthrough[0.25] PASSED [ 61%] statsmodels/robust/tests/test_resistant_linear_model.py::TestRLMDetSMM::test_scale_binding PASSED [ 61%] statsmodels/robust/tests/test_resistant_linear_model.py::TestRLMDetSMM::test_fit_beats_ols_under_contamination PASSED [ 61%] statsmodels/robust/tests/test_resistant_linear_model.py::TestRLMDetS::test_univariate_quantile_start PASSED [ 61%] statsmodels/robust/tests/test_resistant_linear_model.py::TestRLMDetS::test_fit_moment_condition_and_start_results PASSED [ 61%] statsmodels/robust/tests/test_resistant_linear_model.py::TestRLMDetS::test_include_endog_and_col_indices PASSED [ 61%] statsmodels/robust/tests/test_resistant_linear_model.py::TestRLMDetS::test_start_params_extra PASSED [ 61%] statsmodels/robust/tests/test_resistant_linear_model.py::TestRLMDetS::test_fit_beats_ols_under_contamination PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_cumulative_effects_monotone_for_positive_irf PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_cumulative_effects_shape PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_zero_lags PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_single_column_shape_combinations[none-1d] PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_single_column_shape_combinations[none-2d] PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_init_bad_shock_idx_raises PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_irfs_shape_univariate PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_fit_with_all_trend_types[c] PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_irfs_shape_multivariate PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_stderr_shape_matches_irfs PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_nobs_computed_correctly PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_repr PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_cumulative_effects_h0_equals_irf_h0 PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_single_column_shape_combinations[2d-2d] PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_hac_bandwidth_positive_horizon PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_single_column_shape_combinations[2d-1d] PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_nw_cov_symmetric PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_conf_int_width_increases_with_alpha PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_init_default_shock_idx PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_nw_lags_override PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_fit_with_all_trend_types[ct] PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_init_2d_endog PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_var1_irfs_match_ma_coefficients PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_hac_bandwidth_override PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_conf_int_lower_le_irf_le_upper PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_pandas_dataframe_input PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_init_negative_lags_raises PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_stderr_nonnegative PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_irfs_shape_multiple_shocks PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_fit_returns_results_object PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_fit_with_exog PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_conf_int_shape PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_hac_bandwidth_zero_horizon PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_against_r_with_exog PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_init_int_shock_idx PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_fit_with_all_trend_types[n] PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_nw_cov_shape PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_ar1_irfs_match_phi_powers PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_init_too_few_obs_raises PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_single_column_shape_combinations[1d-1d] PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_single_column_shape_combinations[1d-2d] PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_init_bad_trend_raises PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_plot_irfs PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_init_exog_wrong_length_raises PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_init_multiple_shocks PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_against_r_base_case PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_nw_cov_psd PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_single_column_shape_combinations_agree PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_init_1d_endog PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_h0_response_equals_one_by_construction PASSED [ 61%] statsmodels/tsa/vector_ar/tests/test_local_projection.py::test_init_negative_horizons_raises PASSED [ 61%] statsmodels/regression/tests/test_cov.py::test_HC_use PASSED [ 61%] statsmodels/robust/tests/test_mquantiles.py::TestMQuantiles::test_ols PASSED [ 61%] statsmodels/robust/tests/test_mquantiles.py::TestMQuantiles::test_quantreg PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::test_conditional_loglikelihoods PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::test_predict PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_fit PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_smoothed_regimes PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_llf PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_filtered_regimes PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_bse PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_fit_em PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_fit_em SKIPPED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_expected_durations PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_filtered_regimes PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_llf PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_smoothed_regimes PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_fit PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_filtered_regimes PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_fit_em SKIPPED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_fit SKIPPED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_expected_durations PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_smoothed_regimes PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_llf PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_bse PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_smoothed_marginal_probabilities PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_llf PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_predict PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_fit PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_fit_em PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_llf PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_fit_em PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_smoothed_regimes PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_fit PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_filtered_regimes PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_expected_durations PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_expected_durations PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_smoothed_regimes PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_llf PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_fit_em SKIPPED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_filtered_regimes PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_fit SKIPPED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_filter_output PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_fit_em PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_fit PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_smoother_output PASSED [ 61%] statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_llf PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_TVSS[True-1] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-False-n-True] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t2-compute_j1] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_varmax[n-False] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-False-n-False] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-True-t-True] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t2-compute_j0] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-False-t-False] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-False-n-True] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_TVSS[True-0] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t2-compute_j2] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_varmax[t-True] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_collapsed PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_univariate_singular[1-1] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-True-n-True] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_resmooth PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_univariate_singular[2-0] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_univariate_singular[2-1] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_univariate_singular[1-0] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t0-8] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t0-compute_j2] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_univariate_singular[1-both] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-True-c-True] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-True-n-False] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-True-n-False] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-False-c-True] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-False-c-False] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t0-compute_j1] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t0-compute_j0] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_univariate_singular[2-both] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-False-c-True] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_TVSS[True-4] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t1-8] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_varmax[c-True] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-False-c-False] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t2-8] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_varmax[c-False] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t1-compute_j2] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-True-t-False] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_TVSS[False-1] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t1-compute_j0] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-True-t-False] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-True-c-True] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_TVSS[False-0] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t1-compute_j1] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[5-8] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-True-c-False] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-False-t-True] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[5-compute_j1] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-True-n-True] PASSED [ 61%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_TVSS[False-4] PASSED [ 62%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-False-t-True] PASSED [ 62%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-True-c-False] PASSED [ 62%] statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[5-compute_j0] PASSED [ 62%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_varmax[t-False] PASSED [ 62%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_varmax[n-True] PASSED [ 62%] statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[5-compute_j2] PASSED [ 62%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-True-t-True] PASSED [ 62%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-False-t-False] PASSED [ 62%] statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-False-n-False] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_getprediction PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_basic PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_r_llf PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_compare_optimizers PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_pearson_chi2 PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_residuals PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-Poisson-Sqrt] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-NegativeBinomial-InversePower] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-InverseGaussian-Log] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-Gaussian-Log] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-InverseGaussian-InversePower] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-InverseGaussian-InversePower] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-InverseGaussian-Log] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-Gaussian-Identity] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-Gamma-InversePower] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-NegativeBinomial-Log] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-Gamma-Identity] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-Gamma-Log] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-Binomial-Log] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-Binomial-Cauchy] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-Binomial-Probit] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-Gaussian-InversePower] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-InverseGaussian-InverseSquared] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-Poisson-Log] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-Binomial-Logit] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-Poisson-Identity] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-InverseGaussian-InverseSquared] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-Gaussian-Identity] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-Binomial-CLogLog] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-NegativeBinomial-InverseSquared] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-Binomial-Log] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-InverseGaussian-Identity] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-NegativeBinomial-Identity] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-NegativeBinomial-InverseSquared] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-NegativeBinomial-Identity] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-Binomial-Cauchy] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-Gamma-Log] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-Binomial-CLogLog] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-Gamma-Identity] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-NegativeBinomial-Log] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-Gaussian-Log] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-Poisson-Sqrt] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-Binomial-Probit] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-Gamma-InversePower] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-Poisson-Identity] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-Poisson-Log] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-Gaussian-InversePower] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-Binomial-Logit] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[0-InverseGaussian-Identity] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls[1-NegativeBinomial-InversePower] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[ndarray] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[Series] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_warnings_raised PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[list] PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_poisson_residuals PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::test_incompatible_input PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_getprediction PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_residuals PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_basic PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_compare_optimizers PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_pearson_chi2 PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_basic PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_pearson_chi2 PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_residuals PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_getprediction PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_compare_optimizers PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_residuals PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_pearson_chi2 PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_getprediction PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_compare_optimizers PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_basic PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_pearson_chi2 PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_compare_optimizers PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_getprediction PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_residuals PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_basic PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_residuals PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_basic PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_getprediction PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_pearson_chi2 PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_compare_optimizers PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_basic XFAIL [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_getprediction PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_compare_optimizers XFAIL [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_residuals PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_pearson_chi2 PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_compare_optimizers PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_basic PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_residuals PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_getprediction PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_pearson_chi2 PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_compare_optimizers PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_getprediction PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_pearson_chi2 PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_basic PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_residuals PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_compare_optimizers PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_getprediction PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_residuals PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_r_llf PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_basic PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_pearson_chi2 PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_getprediction PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_compare_optimizers PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_basic PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_pearson_chi2 PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_residuals PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_basic PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_residuals PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_compare_optimizers PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_pearson_chi2 PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_getprediction PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_getprediction PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_compare_optimizers PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_residuals PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_pearson_chi2 PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_basic PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_basic PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_compare_optimizers PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_pearson_chi2 PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_getprediction PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_residuals PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_getprediction PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_residuals PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_pearson_chi2 PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_compare_optimizers PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_basic PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_basic PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_getprediction PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_pearson_chi2 PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_residuals PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_compare_optimizers PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_residuals PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_pearson_chi2 PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_basic PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_compare_optimizers PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_getprediction PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_pearson_chi2 PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_residuals PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_getprediction PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_compare_optimizers PASSED [ 62%] statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_basic PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_baseline_class PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_default_trend PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_parameter_checks_low_pass PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_nljump_1_class PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_nljump_1_ntjump_1_class PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_parameter_checks_seasonal PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_squezable_to_1d PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_short_class PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_pickle PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_pandas[True] PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_defaults_smoke[True] PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_parameter_checks_period PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_jump_errors PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_no_period PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_period_detection PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_ntjump_1_class PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_pandas[False] PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_defaults_smoke[False] PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_plot PASSED [ 62%] statsmodels/tsa/stl/tests/test_stl.py::test_parameter_checks_trend PASSED [ 62%] statsmodels/stats/tests/test_gof.py::test_chisquare_power PASSED [ 62%] statsmodels/stats/tests/test_gof.py::test_gof_binning_discrete_bernoulli PASSED [ 62%] statsmodels/stats/tests/test_gof.py::test_chisquare_effectsize PASSED [ 62%] statsmodels/stats/tests/test_gof.py::test_powerdiscrepancy_lambd_aliases PASSED [ 62%] statsmodels/stats/tests/test_gof.py::test_gof_chisquare_discrete_bernoulli PASSED [ 62%] statsmodels/stats/tests/test_gof.py::test_chisquare PASSED [ 62%] statsmodels/stats/tests/test_base.py::test_allpairsresults_summary_pval_table PASSED [ 62%] statsmodels/stats/tests/test_base.py::test_holdertuple2 PASSED [ 62%] statsmodels/stats/tests/test_base.py::test_holdertuple PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained2a::test_basic PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained2a::test_basic_method PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained2a::test_other PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1a::test_other PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1a::test_basic_method PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1a::test_basic PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1a::test_summary PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1a::test_summary2 PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained1::test_other PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained1::test_basic PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained1::test_basic_method PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained1::test_glm PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestLogitConstrained2HC::test_glm SKIPPED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestLogitConstrained2HC::test_basic_method PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestLogitConstrained2HC::test_basic PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestLogitConstrained2HC::test_other PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestGLMPoissonConstrained1a::test_basic PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestGLMPoissonConstrained1a::test_basic_method PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestGLMPoissonConstrained1a::test_other PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained2b::test_basic PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained2b::test_basic_method PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained2b::test_other PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestLogitConstrained1::test_basic PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestLogitConstrained1::test_other PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestLogitConstrained1::test_basic_method PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestLogitConstrained1::test_glm SKIPPED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1b::test_other PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1b::test_basic_method PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1b::test_basic PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1c::test_basic PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1c::test_other PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1c::test_basic_method PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2::test_summary PASSED [ 62%] statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2::test_summary2 PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2::test_predict PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2::test_fit_constrained_wrap PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2::test_glm PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2::test_other PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2::test_basic_method PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2::test_basic PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2HC::test_basic PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2HC::test_basic_method PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2HC::test_other PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2HC::test_glm PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestPoissonNoConstrained::test_other PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestPoissonNoConstrained::test_basic_method PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestPoissonNoConstrained::test_basic PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained2c::test_other PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained2c::test_basic PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained2c::test_basic_method PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestGLMPoissonConstrained1b::test_basic PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestGLMPoissonConstrained1b::test_compare_glm_poisson PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestGLMPoissonConstrained1b::test_other PASSED [ 63%] statsmodels/discrete/tests/test_constrained.py::TestGLMPoissonConstrained1b::test_basic_method PASSED [ 63%] statsmodels/multivariate/tests/test_pca.py::test_missing PASSED [ 63%] statsmodels/multivariate/tests/test_pca.py::test_gls_warning PASSED [ 63%] statsmodels/multivariate/tests/test_pca.py::test_prepare_data_all_nan PASSED [ 63%] statsmodels/multivariate/tests/test_pca.py::test_too_many_missing PASSED [ 63%] statsmodels/multivariate/tests/test_pca.py::TestPCA::test_rsquare PASSED [ 63%] statsmodels/multivariate/tests/test_pca.py::TestPCA::test_gls_and_weights PASSED [ 63%] statsmodels/multivariate/tests/test_pca.py::TestPCA::test_replace_missing PASSED [ 63%] statsmodels/multivariate/tests/test_pca.py::TestPCA::test_missing_dataframe PASSED [ 63%] statsmodels/multivariate/tests/test_pca.py::TestPCA::test_projection PASSED [ 63%] statsmodels/multivariate/tests/test_pca.py::TestPCA::test_options PASSED [ 63%] statsmodels/multivariate/tests/test_pca.py::TestPCA::test_wide PASSED [ 63%] statsmodels/multivariate/tests/test_pca.py::TestPCA::test_smoke_plot_and_repr PASSED [ 63%] statsmodels/multivariate/tests/test_pca.py::TestPCA::test_errors PASSED [ 63%] statsmodels/multivariate/tests/test_pca.py::TestPCA::test_pandas PASSED [ 63%] statsmodels/multivariate/tests/test_pca.py::TestPCA::test_equivalence_full_matrices PASSED [ 63%] statsmodels/multivariate/tests/test_pca.py::TestPCA::test_eig_svd_equiv PASSED [ 63%] statsmodels/multivariate/tests/test_pca.py::TestPCA::test_equivalence PASSED [ 63%] statsmodels/multivariate/tests/test_pca.py::TestPCA::test_warnings PASSED [ 63%] statsmodels/multivariate/tests/test_pca.py::TestPCA::test_against_reference PASSED [ 63%] statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_cdf_ppf_roundtrip PASSED [ 63%] statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_dist1 PASSED [ 63%] statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_mvsk PASSED [ 63%] statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_pdf PASSED [ 63%] statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormSample::test_mvsk PASSED [ 63%] statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormSample::test_ks PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::test_group_sums PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::test_group_sorted_subclass_no_infinite_recursion PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::test_combine_indices PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::test_init_api PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::test_dummy_sparse PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::test_check_index_sorted_detection PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::test_group_class PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::test_group_sums_orientation_consistent PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::test_group_demean_default PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_sort PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_levels PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_transform_slices PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_transform_array PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_dummy_sparse PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_count_categories PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_dummies_groups PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_check_index PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_reindex PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_transform_dataframe PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_reindex PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_levels PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_dummy_sparse PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_check_index PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_count_categories PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_sort PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_transform_slices PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_transform_array PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_dummies_groups PASSED [ 63%] statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_transform_dataframe PASSED [ 63%] statsmodels/regression/tests/test_glsar_gretl.py::test_GLSARlag PASSED [ 63%] statsmodels/regression/tests/test_glsar_gretl.py::TestGLSARGretl::test_all PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog3::test_fit PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog3::test_summary PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog3::test_fit_em PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog3::test_llf PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_llf PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_fit_em PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_predict PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_bse PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_summary PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_fit PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::test_exog_tvtp PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::test_hessian_respects_transformed PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::test_avoid_underflow PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::test_results_fittedvalues_resid_joint_likelihoods_cov_params_robust PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_filter_output PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_hamilton_filter_shape_checks PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_llf PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_hamilton_filter_order_zero_with_tvtp PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_summary PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_fit_em PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_smoother_output PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_fit PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_hamilton_filter_order_zero PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_llf PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_bse PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_smoothed_marginal_probabilities PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_predict PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_fit PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_filter_output PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_summary PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_fit_em PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_fit PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_summary PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_fit_em PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_llf PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_bse PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestMumpspcNoconstL1Variance::test_fit PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestMumpspcNoconstL1Variance::test_summary PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestMumpspcNoconstL1Variance::test_llf PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestMumpspcNoconstL1Variance::test_fit_em PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_summary PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_fit PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_fit_em PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_llf PASSED [ 63%] statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_bse PASSED [ 63%] statsmodels/tsa/base/tests/test_base.py::test_predict_freq PASSED [ 63%] statsmodels/tsa/base/tests/test_base.py::test_period_index PASSED [ 63%] statsmodels/tsa/base/tests/test_base.py::test_get_predict_start_end PASSED [ 63%] statsmodels/tsa/base/tests/test_base.py::test_pandas_dates PASSED [ 63%] statsmodels/tsa/base/tests/test_base.py::test_pandas_nodates_index PASSED [ 63%] statsmodels/tsa/base/tests/test_base.py::test_keyerror_start_date PASSED [ 63%] statsmodels/stats/tests/test_influence.py::test_influence_glm_bernoulli PASSED [ 63%] statsmodels/stats/tests/test_influence.py::test_glminfluence_direct_constructor PASSED [ 63%] statsmodels/stats/tests/test_influence.py::test_olsinfluence_closed_form_measures PASSED [ 63%] statsmodels/stats/tests/test_influence.py::test_vif_instability PASSED [ 63%] statsmodels/stats/tests/test_influence.py::test_olsinfluence_ols_xnoti_and_get_drop_vari PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluencePoissonCompare::test_summary PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluencePoissonCompare::test_plots PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluencePoissonCompare::test_basics PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceBinomialGLMMLE::test_summary PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceBinomialGLMMLE::test_basics PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceBinomialGLMMLE::test_looo PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceBinomialGLMMLE::test_r PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceBinomialGLMMLE::test_plots PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceLogitGLMMLE::test_basics PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceLogitGLMMLE::test_plots PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceLogitGLMMLE::test_summary PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceLogitGLMMLE::test_looo PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceGaussianGLMOLS::test_summary PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceGaussianGLMOLS::test_plots PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceGaussianGLMOLS::test_basics PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceProbitCompare::test_plots PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceProbitCompare::test_basics PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceProbitCompare::test_basics_specific PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceProbitCompare::test_summary PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceLogitCompare::test_plots PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceLogitCompare::test_basics PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceLogitCompare::test_summary PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceGaussianGLMMLE::test_looo PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceGaussianGLMMLE::test_summary PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceGaussianGLMMLE::test_basics PASSED [ 63%] statsmodels/stats/tests/test_influence.py::TestInfluenceGaussianGLMMLE::test_plots PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_weightstats_3 PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_comparemeans_convenient_interface PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_weightstats_2 PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_comparemeans_convenient_interface_1d PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_weightstats_1 PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_weightstats_ddof_tests PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::test_ztest_ztost PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::test_ttest_ind_with_uneq_var PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::test_alternative_deprecated_alias[s-smaller] PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::test_alternative_deprecated_alias[2-sided-two-sided] PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::test_weightstats_2d_w1 PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::test_weightstats_len_1 PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::test_alternative_invalid PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::test_weightstats_2d_w2 PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::test_ztost_ind_matches_two_one_sided_ztests PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::test_ttost_mean_matches_two_one_sided_ttests PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::test_alternative_deprecated_alias[l-larger] PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::test_alternative_deprecated_alias[2s-two-sided] PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::test_invalid_usevar_raises PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_confint_mean PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_ttest_2sample PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_basic PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_corr PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_ttest PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_confint_mean PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_ttest PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_ttest_2sample PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_corr PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_basic PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestSim1::test_sum PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestSim1::test_quantiles PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestSim1::test_std PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestSim1::test_mean PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestSim1::test_sem PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestSim1::test_var PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestSim1t::test_sum PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestSim1t::test_sem PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestSim1t::test_mean PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestSim1t::test_std PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestSim1t::test_quantiles PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestSim1t::test_var PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestSim1n::test_sem PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestSim1n::test_std PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestSim1n::test_sum PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestSim1n::test_quantiles PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestSim1n::test_mean PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestSim1n::test_var PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_ttest PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_corr PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_confint_mean PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_basic PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_ttest_2sample PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_basic PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_ttest_2sample PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_confint_mean PASSED [ 63%] statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_ttest PASSED [ 64%] statsmodels/stats/tests/test_weightstats.py::TestZTest::test PASSED [ 64%] statsmodels/stats/tests/test_weightstats.py::TestSim2::test_var PASSED [ 64%] statsmodels/stats/tests/test_weightstats.py::TestSim2::test_quantiles PASSED [ 64%] statsmodels/stats/tests/test_weightstats.py::TestSim2::test_mean PASSED [ 64%] statsmodels/stats/tests/test_weightstats.py::TestSim2::test_sum PASSED [ 64%] statsmodels/stats/tests/test_weightstats.py::TestSim2::test_std PASSED [ 64%] statsmodels/stats/tests/test_weightstats.py::TestSim2::test_sem PASSED [ 64%] statsmodels/tsa/tests/test_varma_process.py::test_vstackarma_minus1_and_hstackarma_minus1_reshape_lags PASSED [ 64%] statsmodels/tsa/tests/test_varma_process.py::test_getisstationary_matches_ar1_boundary PASSED [ 64%] statsmodels/tsa/tests/test_varma_process.py::test_getisstationary_matches_independent_root_computation PASSED [ 64%] statsmodels/tsa/tests/test_varma_process.py::test_reduceform_normalizes_lag_zero_to_identity PASSED [ 64%] statsmodels/tsa/tests/test_varma_process.py::test_vstack_hstack_are_reshapes_of_the_source_array PASSED [ 64%] statsmodels/tsa/tests/test_varma_process.py::test_init_defaults PASSED [ 64%] statsmodels/tsa/tests/test_varma_process.py::test_reduceform_errors PASSED [ 64%] statsmodels/tsa/tests/test_varma_process.py::test_getisinvertible_matches_ma1_boundary PASSED [ 64%] statsmodels/tsa/tests/test_varma_process.py::test_vstack_hstack_stacksquare_invalid_name_raises PASSED [ 64%] statsmodels/tsa/tests/test_varma_process.py::test_reduceform_linalg_error PASSED [ 64%] statsmodels/tsa/tests/test_varma_process.py::test_stacksquare_is_companion_form PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-True-n-True] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-True-t-False] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-True-c-True] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_dfm_mq PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_varmax[c-False] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-True-t-False] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_TVSS[False] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-True-c-False] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_varmax[t-False] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-False-t-True] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_varmax[t-True] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_TVSS[True] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-True-c-False] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-False-t-True] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-True-c-True] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-False-n-False] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-False-n-False] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-True-n-True] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-False-n-True] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-False-t-False] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-False-t-False] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_varmax[n-True] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-False-n-True] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-True-t-True] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_varmax[n-False] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_varmax[c-True] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-True-n-False] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-False-c-True] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-True-t-True] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-False-c-False] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-False-c-False] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-False-c-True] PASSED [ 64%] statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-True-n-False] PASSED [ 64%] statsmodels/tools/tests/test_sequences.py::test_van_der_corput PASSED [ 64%] statsmodels/tools/tests/test_sequences.py::test_primes PASSED [ 64%] statsmodels/tools/tests/test_sequences.py::test_halton PASSED [ 64%] statsmodels/tools/tests/test_sequences.py::test_primes_array PASSED [ 64%] statsmodels/tools/tests/test_sequences.py::test_discrepancy PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_perfect_const[TrimmedMean] PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_perfect_fit[TrimmedMean] PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_rlm_scale_est_one_and_two_inputs PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_rlm_start_values_errors PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_perfect_const[TukeyBiweight] PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_perfect_fit[TukeyBiweight] PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_perfect_fit[AndrewWave] PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_perfect_const[AndrewWave] PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_perfect_const[RamsayE] PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_perfect_fit[RamsayE] PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_fit_invalid_options_raise PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_fit_history_scale PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_alt_criterion[weights] PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_perfect_fit[LeastSquares] PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_perfect_const[LeastSquares] PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_missing PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_summary_title PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_alt_criterion[coefs] PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_rlm_results_direct_construction_validates_cov PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_perfect_fit[Hampel] PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_perfect_const[Hampel] PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_bad_criterion PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_summary_after_remove_data PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_rlm_scale_est_resid_callable_df_correction PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_perfect_const[HuberT] PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_perfect_fit[HuberT] PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_rlm_scale_est_callback_receives_model PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_alt_criterion[sresid] PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::test_rlm_start_values PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_summary2 PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_summary PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_degrees PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_chisq PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_predict PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_params PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_scale PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_confidenceintervals PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_bcov_scaled PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_residuals PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_standarderrors PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_tvalues SKIPPED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_weights PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_bcov_unscaled SKIPPED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_tpvalues PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampel::test_scale PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampel::test_weights PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampel::test_tvalues PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampel::test_tpvalues PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampel::test_chisq PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampel::test_bcov_scaled PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampel::test_residuals PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampel::test_confidenceintervals SKIPPED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampel::test_params PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampel::test_bcov_unscaled PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampel::test_summary2 PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampel::test_predict PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampel::test_standarderrors PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampel::test_summary PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestHampel::test_degrees PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_params PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_tvalues SKIPPED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_summary2 PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_weights PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_bcov_scaled PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_chisq PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_scale PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_residuals PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_bcov_unscaled SKIPPED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_predict PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_confidenceintervals PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_summary PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_degrees PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_standarderrors PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_tpvalues PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_bcov_scaled PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_confidenceintervals PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_predict PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_bcov_unscaled SKIPPED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_summary2 PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_params PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_degrees PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_summary PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_tpvalues PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_chisq PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_tvalues SKIPPED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_standarderrors PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_weights PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_residuals PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_scale PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_summary PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_degrees PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_predict PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_summary2 PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_residuals PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_bcov_scaled PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_params PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_chisq PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_tpvalues PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_confidenceintervals SKIPPED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_standarderrors PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_bcov_unscaled PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_tvalues PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_weights PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_scale PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_residuals PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_confidenceintervals PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_bcov_unscaled SKIPPED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_scale PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_tvalues SKIPPED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_weights PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_params PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_degrees PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_tpvalues PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_bcov_scaled PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_standarderrors PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_bcov_scaled PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_standarderrors PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_confidenceintervals SKIPPED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_degrees PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_bcov_unscaled PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_tpvalues PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_tvalues PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_scale PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_weights PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_residuals PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_params PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_params PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_scale PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_bcov_scaled PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_summary PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_degrees PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_tpvalues PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_predict PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_confidenceintervals PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_chisq PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_residuals PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_standarderrors PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_bcov_unscaled SKIPPED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_tvalues SKIPPED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_summary2 PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_weights PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlm::test_summary2 PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlm::test_standarderrors PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlm::test_residuals PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlm::test_weights PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlm::test_params PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlm::test_tvalues PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlm::test_bcov_scaled PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlm::test_scale PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlm::test_summary PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlm::test_degrees PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlm::test_confidenceintervals SKIPPED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlm::test_chisq PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlm::test_tpvalues PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlm::test_bcov_unscaled PASSED [ 64%] statsmodels/robust/tests/test_rlm.py::TestRlm::test_predict PASSED [ 64%] statsmodels/graphics/tests/test_regressionplots.py::TestCERESPlot::test_ceres_poisson PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::test_add_ellipse_and_lowess PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::test_partregress_formula_env PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::test_plot_partregress_result_object PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_ab PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_remove PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_ab_ax PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_model PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_model_ax PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_plot_leverage_resid2 PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_plot_fit PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_plot_influence PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_one_column_exog PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_plot_oth PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestPlotPandas::test_plot_fit PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestPlotPandas::test_plot_leverage_resid2 PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestPlotPandas::test_plot_influence PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestPlotPandas::test_plot_oth PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestPartialResidualPlot::test_partial_residual_poisson PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestAddedVariablePlot::test_added_variable_poisson PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestAddedVariablePlot::test_added_variable_ols PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestPlot::test_plot_oth PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestPlot::test_plot_leverage_resid2 PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestPlot::test_plot_influence PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestPlot::test_plot_fit PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_remove PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_ab PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_model_ax PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_ab_ax PASSED [ 65%] statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_model PASSED [ 65%] statsmodels/tsa/statespace/tests/test_pickle.py::test_unobserved_components_pickle PASSED [ 65%] statsmodels/tsa/statespace/tests/test_pickle.py::test_pickle_fit_sarimax PASSED [ 65%] statsmodels/tsa/statespace/tests/test_pickle.py::test_kalman_filter_pickle PASSED [ 65%] statsmodels/tsa/statespace/tests/test_pickle.py::test_representation_pickle PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_2.csv-efron-False-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_1000_10.csv-breslow-False-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_100_5.csv-efron-True-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_2.csv-breslow-True-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_1.csv-breslow-False-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_2.csv-breslow-True-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_1000_10.csv-efron-True-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_100_5.csv-efron-True-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_1.csv-breslow-True-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_20_1.csv-efron-True-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_1.csv-efron-True-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_2.csv-efron-False-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_1000_10.csv-efron-False-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_20_1.csv-breslow-True-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_2.csv-breslow-False-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_1000_10.csv-breslow-False-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_2.csv-efron-True-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_1000_10.csv-breslow-True-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_1.csv-breslow-True-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_1000_10.csv-breslow-True-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_100_5.csv-efron-False-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_1.csv-efron-False-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_1.csv-breslow-False-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_1.csv-efron-False-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_1000_10.csv-efron-True-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_20_1.csv-breslow-False-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_1000_10.csv-efron-False-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_100_5.csv-breslow-False-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_20_1.csv-breslow-True-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_100_5.csv-breslow-False-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_20_1.csv-efron-False-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_20_1.csv-efron-False-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_2.csv-efron-True-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_100_5.csv-efron-False-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_20_1.csv-breslow-False-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_2.csv-breslow-False-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_20_1.csv-efron-True-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_100_5.csv-breslow-True-False] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_1.csv-efron-True-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::test_r[survival_data_100_5.csv-breslow-True-True] PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::TestPHReg::test_post_estimation PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::TestPHReg::test_formula_cat_interactions PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::TestPHReg::test_formula_environment PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::TestPHReg::test_invalid_ties_raises PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::TestPHReg::test_fit_regularized PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::TestPHReg::test_get_distribution PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::TestPHReg::test_summary_after_remove_data PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::TestPHReg::test_offset PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::TestPHReg::test_formula PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::TestPHReg::test_formula_args PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::TestPHReg::test_fit_regularized_invalid_method_raises PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::TestPHReg::test_predict PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::TestPHReg::test_summary PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::TestPHReg::test_predict_formula PASSED [ 65%] statsmodels/duration/tests/test_phreg.py::TestPHReg::test_missing PASSED [ 65%] statsmodels/stats/tests/test_effectsize.py::test_noncent_chi2 PASSED [ 65%] statsmodels/stats/tests/test_effectsize.py::test_noncent_f PASSED [ 65%] statsmodels/stats/tests/test_effectsize.py::test_noncent_t PASSED [ 65%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_k_factor1_factor_order_6 PASSED [ 65%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_k_factor2_factor_order_6 SKIPPED [ 65%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary PASSED [ 65%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_k_factor1 SKIPPED [ 65%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_two_blocks_factor_orders_6 SKIPPED [ 65%] statsmodels/nonparametric/tests/test_bandwidths.py::test_select_sigma_default_normalization PASSED [ 65%] statsmodels/nonparametric/tests/test_bandwidths.py::test_select_sigma_percentile[45] PASSED [ 65%] statsmodels/nonparametric/tests/test_bandwidths.py::test_select_sigma_percentile[40] PASSED [ 65%] statsmodels/nonparametric/tests/test_bandwidths.py::TestAllBandwidthZero::test_bandwidth_zero PASSED [ 65%] statsmodels/nonparametric/tests/test_bandwidths.py::TestAnyBandwidthZero::test_bandwidth_zero PASSED [ 65%] statsmodels/nonparametric/tests/test_bandwidths.py::TestGaussian::test_calculate_normal_reference_constant PASSED [ 65%] statsmodels/nonparametric/tests/test_bandwidths.py::TestBandwidthCalculation::test_calculate_bandwidth_gaussian PASSED [ 65%] statsmodels/nonparametric/tests/test_bandwidths.py::TestBandwidthCalculation::test_calculate_normal_reference_bandwidth PASSED [ 65%] statsmodels/nonparametric/tests/test_bandwidths.py::TestBiweight::test_calculate_normal_reference_constant PASSED [ 65%] statsmodels/nonparametric/tests/test_bandwidths.py::TestTriweight::test_calculate_normal_reference_constant PASSED [ 65%] statsmodels/nonparametric/tests/test_bandwidths.py::TestEpanechnikov::test_calculate_normal_reference_constant PASSED [ 65%] statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_scalar PASSED [ 65%] statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_pstrung_boundary PASSED [ 65%] statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_vector PASSED [ 65%] statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_handful_to_known_values PASSED [ 65%] statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_v_less_than_two PASSED [ 65%] statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_invalid_parameters PASSED [ 65%] statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_100_random_values PASSED [ 65%] statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_scalar PASSED [ 65%] statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_invalid_parameters PASSED [ 65%] statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_10000_to_ch PASSED [ 65%] statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_handful_to_ch PASSED [ 65%] statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_handful_to_tbl PASSED [ 65%] statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_all_to_tbl SKIPPED [ 65%] statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_vector PASSED [ 65%] statsmodels/tsa/tests/test_adfuller_lag.py::test_adf_autolag PASSED [ 65%] statsmodels/miscmodels/tests/test_tmodel.py::TestTModel::test_basic PASSED [ 65%] statsmodels/miscmodels/tests/test_tmodel.py::TestTModel::test_bse PASSED [ 65%] statsmodels/miscmodels/tests/test_tmodel.py::TestTModel::test_fitted PASSED [ 65%] statsmodels/miscmodels/tests/test_tmodel.py::TestTModel::test_smoke PASSED [ 65%] statsmodels/miscmodels/tests/test_tmodel.py::TestTModel::test_formula PASSED [ 65%] statsmodels/miscmodels/tests/test_tmodel.py::TestTModel::test_df PASSED [ 65%] statsmodels/miscmodels/tests/test_tmodel.py::TestTModelFixed::test_smoke PASSED [ 65%] statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_method_label[case4] PASSED [ 65%] statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_aux PASSED [ 65%] statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_effects[case4] PASSED [ 65%] statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_effects[case1] PASSED [ 65%] statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_method_label[case3] PASSED [ 65%] statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_method_label[case2] PASSED [ 65%] statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_effects[case0] PASSED [ 65%] statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_method_label[case0] PASSED [ 65%] statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_effects[case2] PASSED [ 65%] statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_effects[case3] PASSED [ 65%] statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_method_label[case1] PASSED [ 65%] statsmodels/othermod/tests/test_beta.py::test_summary_after_remove_data PASSED [ 65%] statsmodels/othermod/tests/test_beta.py::test_llrmixin_set_null_options PASSED [ 65%] statsmodels/othermod/tests/test_beta.py::test_hessian_factor_reassembles_hessian PASSED [ 65%] statsmodels/othermod/tests/test_beta.py::test_hessian_observed_argument PASSED [ 65%] statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_income_coefficients PASSED [ 65%] statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_income_precision PASSED [ 65%] statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_eval_env PASSED [ 65%] statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_precision_formula PASSED [ 65%] statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_methylation_precision PASSED [ 65%] statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_scores PASSED [ 65%] statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_results_other PASSED [ 65%] statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_methylation_coefficients PASSED [ 65%] statsmodels/othermod/tests/test_beta.py::TestBetaMeth::test_predict_distribution PASSED [ 65%] statsmodels/othermod/tests/test_beta.py::TestBetaMeth::test_resid PASSED [ 65%] statsmodels/othermod/tests/test_beta.py::TestBetaMeth::test_basic PASSED [ 65%] statsmodels/othermod/tests/test_beta.py::TestBetaMeth::test_oim PASSED [ 65%] statsmodels/othermod/tests/test_beta.py::TestBetaIncome::test_score_test PASSED [ 65%] statsmodels/othermod/tests/test_beta.py::TestBetaIncome::test_influence PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-ssr] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-ess] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-ssr] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-ess] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 65%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-rsquared] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-ess] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-rsquared] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-ssr] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-ess] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-ssr] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-ess] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-ess] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-ess] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-rsquared] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-ssr] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-ess] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-ssr] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-ess] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 66%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-ssr] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-ess] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-ess] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-ess] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-ssr] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-rsquared] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-ssr] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-ess] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-ssr] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-ess] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-ess] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-ssr] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-ssr] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-ess] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-ssr] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-ess] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-ess] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-rsquared] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-ssr] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 67%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-ess] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-ess] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-ess] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-ess] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-ssr] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-rsquared] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-ess] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-rsquared] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-ess] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-ssr] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-ess] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 68%] statsmodels/tsa/tests/test_ar.py::test_summary_after_remove_data[2-True] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-ess] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-ssr] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-ssr] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-ess] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-rsquared] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-ess] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-rsquared] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-ess] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-ssr] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-0-True-ct] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-rsquared] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-ssr] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-ess] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-ssr] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-ess] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 69%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-ssr] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-rsquared] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-ess] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-ess] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-ssr] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-rsquared] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-ess] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-ssr] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-ess] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-rsquared] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-ssr] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-ess] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-ssr] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-3-False-ct] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-ess] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-ess] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-rsquared] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-ssr] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-rsquared] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-ess] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-ssr] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 70%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-ssr] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-rsquared] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-ess] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-ess] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-rsquared] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-ssr] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-ess] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-ess] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 71%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-ess] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-ess] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-ess] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-ssr] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-ess] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-ess] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-3-False-ct] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-ssr] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-ess] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-rsquared] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-ess] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-ssr] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-rsquared] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 72%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-ssr] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-ess] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-ess] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-ssr] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-ess] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-ess] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-ssr] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-ssr] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-ess] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-ess] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-ess] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 73%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-ess] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-ssr] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-rsquared] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-ess] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-ess] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-ssr] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-ess] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-rsquared] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-ssr] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-ssr] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-ess] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-ssr] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-ess] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-rsquared] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-ssr] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-ess] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 74%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-ess] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-ssr] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-rsquared] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-ssr] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-ess] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-ess] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-ssr] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-ess] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-rsquared] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-ssr] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-ess] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-ssr] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-ess] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-rsquared] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-ess] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 75%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-ess] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-ssr] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-ess] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-rsquared] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-ssr] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-ess] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-ssr] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-ess] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-rsquared] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-ess] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 76%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-rsquared] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-ssr] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-ess] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-ess] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-ssr] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-ssr] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-rsquared] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-ess] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-ssr] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-ess] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-ess] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-ess] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-ssr] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-ess] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_score PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_ar_order_select PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-ess] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back: 12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-ess] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-ssr] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-centered_tss] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-rsquared] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-ssr] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-uncentered_tss] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-ess] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 78%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-ess] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-ess] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back: 12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_spec_errors PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-ess] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-ssr] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-rsquared] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-centered_tss] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-uncentered_tss] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_forecast_start_end_equiv[True] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-ssr] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-rsquared] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-ess] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-ssr] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-ess] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 79%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-uncentered_tss] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-rsquared] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-centered_tss] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-ssr] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-ess] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-ess] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-ssr] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_forecast_equiv PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-ssr] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-ess] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_ar_select_order_invalid_ic_raises PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_forecast_period_index PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-0-False-n] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 80%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append_deterministic PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_plot_err PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back: 12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_against_sarimax PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back: 12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-1-False-n] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_removal PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-uncentered_tss] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-ssr] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-ess] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-rsquared] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-centered_tss] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 81%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-3-False-n] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag8] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-3-True-n] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_diagnostic_summary_short PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag9] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-1-False-ct] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back: None] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_predict_seasonal PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-1-False-ct] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 82%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-1-True-n] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_forecast_start_end_equiv[False] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-3-True-ct] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_predict_ar_constant PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back: None] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-1-True-ct] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_deterministic PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_ar_select_order_smoke PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-0-True-n] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_parameterless_autoreg PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_ar_select_order_ics_are_information_criteria PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_summary_corner PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back: None] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 83%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag0] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag14] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back: 12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back: None] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-0-False-ct] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-3-True-n] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_summary_after_remove_data[0-True] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back: None] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag1] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_constant_column_trend PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-0-True-ct] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag15] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_predict_errors PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_resids PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-0-False-ct] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_summary_after_remove_data[2-False] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_predictions PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-0-True-n] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag3] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_start[21] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-0-False-n] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back: None] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag2] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_apply_exception PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_named_series PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_predict_ar_no_constant PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back: 12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_new_names PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-1-True-n] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_invalid_dynamic PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_equiv_dynamic PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_roots PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_predict_exog PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag13] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_no_obs_for_adjustment PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_predict_irregular_ar PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back: 12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag7] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_start[25] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_exog_prediction PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag6] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-3-False-n] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-1-False-n] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag10] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_summary_after_remove_data[0-False] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back: None] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag4] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-1-True-ct] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-3-True-ct] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_ar_model_predict PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_series PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag11] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_no_variables PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag5] PASSED [ 86%] statsmodels/tsa/tests/test_ar.py::test_dynamic_predictions_oos PASSED [ 86%] statsmodels/stats/tests/test_groups_sw.py::TestBalanced::test_raises PASSED [ 86%] statsmodels/stats/tests/test_groups_sw.py::TestBalanced::test_values PASSED [ 86%] statsmodels/stats/tests/test_groups_sw.py::TestUnBalanced::test_raises PASSED [ 86%] statsmodels/stats/tests/test_groups_sw.py::TestUnBalanced::test_values PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_samplesize_rank_compare_onetail PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_samplesize_rank_compare_onetail_invalid[synthetic_sample2-reference_sample2-0.05-0.0-1.0-one-sided-ValueError-Power must be between 0 and 1] PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_brunnermunzel_one_sided PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_samplesize_rank_compare_onetail_invalid[synthetic_sample0-reference_sample0-0.0-0.8-1.0-two-sided-ValueError-Alpha must be between 0 and 1] PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_mcnemar_chisquare PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_runstest_2sample PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_jonckheere_terpstra_exceptions PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_jonckheere_terpstra_result_type PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_samplesize_rank_compare_onetail_invalid[synthetic_sample7-reference_sample7-0.05-0.8-0.5-one-sided-ValueError-Both `synthetic_sample` and `reference_sample` must have at least one element] PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_jonckheere_terpstra_invalid[samples3-larger-variance is zero] PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_samplesize_rank_compare_onetail_invalid[synthetic_sample12-reference_sample12-0.05-0.8-1.0-two-sided-ValueError-Estimated relative effect is effectively 0.5] PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_jonckheere_terpstra_invalid[samples1-larger-zero length] PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_cochransq2 PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_samplesize_rank_compare_onetail_invalid[synthetic_sample9-reference_sample9-0.05-0.8-0.5-invalid-alternative-ValueError-alternative] PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_compute_rank_placements[test_cases1] PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_jonckheere_terpstra_smaller_and_two_sided PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_cochransq3 PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_rank_compare_2indep1 PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_compute_rank_placements[test_cases0] PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_rank_compare_ord PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_compute_rank_placements[test_cases2] PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_jonckheere_terpstra_known_extreme_statistic PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_samplesize_rank_compare_onetail_invalid[synthetic_sample8-reference_sample8-0.05-0.8-0.5-False-TypeError-alternative must be a string] PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_samplesize_rank_compare_onetail_invalid[synthetic_sample11-reference_sample11-0.05-0.8-1.0-larger-ValueError-Estimated relative effect is smaller than 0.5] PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_mcnemar_vectorized PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_samplesize_rank_compare_onetail_invalid[synthetic_sample3-reference_sample3-0.05-1.0-1.0-one-sided-ValueError-Power must be between 0 and 1] PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_samplesize_rank_compare_onetail_invalid[synthetic_sample6-reference_sample6-0.05-0.8-0.5-one-sided-ValueError-All elements of `synthetic_sample` and `reference_sample` must be finite; check for missing values.] PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_rank_compare_vectorized PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_jonckheere_terpstra_stats_api_export PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_cochransq PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_runstest PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_jonckheere_terpstra_many_unequal_groups PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_jonckheere_terpstra_invalid[samples2-invalid-alternative] PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_jonckheere_terpstra_invalid[samples0-larger-at least two ordered samples] PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_jonckheere_terpstra_minimal_nobs PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_jonckheere_terpstra_invalid[samples4-larger-one-dimensional] PASSED [ 86%] statsmodels/stats/tests/test_nonparametric.py::test_samplesize_rank_compare_onetail_invalid[synthetic_sample1-reference_sample1-1.0-0.8-1.0-two-sided-ValueError-Alpha must be between 0 and 1] PASSED [ 87%] statsmodels/stats/tests/test_nonparametric.py::test_symmetry_bowker PASSED [ 87%] statsmodels/stats/tests/test_nonparametric.py::test_samplesize_rank_compare_onetail_invalid[synthetic_sample5-reference_sample5-0.05-0.8--1.0-one-sided-ValueError-Ratio of reference group to treatment group must be strictly positive.] PASSED [ 87%] statsmodels/stats/tests/test_nonparametric.py::test_brunnermunzel_two_sided PASSED [ 87%] statsmodels/stats/tests/test_nonparametric.py::test_samplesize_rank_compare_onetail_invalid[synthetic_sample4-reference_sample4-0.05-0.8-0.0-one-sided-ValueError-Ratio of reference group to treatment group must be strictly positive.] PASSED [ 87%] statsmodels/stats/tests/test_nonparametric.py::test_jonckheere_terpstra_larger_matches_kendalltau PASSED [ 87%] statsmodels/stats/tests/test_nonparametric.py::test_mcnemar_exact PASSED [ 87%] statsmodels/stats/tests/test_nonparametric.py::test_samplesize_rank_compare_onetail_invalid[synthetic_sample10-reference_sample10-0.05-0.8-1.0-smaller-ValueError-Estimated relative effect is larger than 0.5] PASSED [ 87%] statsmodels/tools/tests/test_data.py::test_dataframe PASSED [ 87%] statsmodels/tools/tests/test_data.py::test_formula_engine_use_detection_577 PASSED [ 87%] statsmodels/tools/tests/test_data.py::test_as_array_with_name_array PASSED [ 87%] statsmodels/tools/tests/test_data.py::test_missing_data_pandas PASSED [ 87%] statsmodels/tools/tests/test_data.py::test_as_array_with_name_series PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::test_nondiagonal_obs_cov_smoothed_decomposition[approximate_diffuse-True-False] PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::test_time_varying_transition PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::test_nondiagonal_obs_cov_smoothed_decomposition[approximate_diffuse-False-False] PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::test_nondiagonal_obs_cov_smoothed_decomposition[approximate_diffuse-False-True] PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::test_nondiagonal_obs_cov_smoothed_decomposition[diffuse-False-False] PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::test_nondiagonal_obs_cov_smoothed_decomposition[diffuse-True-False] PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::test_nondiagonal_obs_cov_smoothed_decomposition[approximate_diffuse-True-True] PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::test_nondiagonal_obs_cov_smoothed_decomposition[diffuse-False-True] PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::test_nondiagonal_obs_cov_smoothed_decomposition[diffuse-True-True] PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::test_nondiagonal_obs_cov_disturbance_cov_warns PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_forecasts_error_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_forecasts_error PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_state_disturbance_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_simulation_smoothed_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_measurement_disturbance_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_forecasts PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_using_univariate PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_simulation_smoothed_measurement_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_filtered_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_predicted_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_loglike PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_states PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_filtered_state_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_measurement_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_states_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_predicted_state_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_simulation_smoothed_state_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_state_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_forecasts_error PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_using_univariate PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_forecasts PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_simulation_smoothed_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_states_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_state_disturbance_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_predicted_state_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_state_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_simulation_smoothed_measurement_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_predicted_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_measurement_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_forecasts_error_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_states PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_filtered_state_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_filtered_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_measurement_disturbance_cov SKIPPEDs_t), which is not enough to undo the diagonalization) [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_loglike PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_simulation_smoothed_state_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_state_disturbance_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_filtered_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_forecasts_error_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_simulation_smoothed_measurement_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_forecasts PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_forecasts_error PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_filtered_state_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_simulation_smoothed_state_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_states PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_measurement_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_measurement_disturbance_cov SKIPPED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_predicted_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_loglike PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_states_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_using_univariate PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_predicted_state_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_simulation_smoothed_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_state_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_measurement_disturbance_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_simulation_smoothed_measurement_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_states PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_simulation_smoothed_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_states_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_filtered_state_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_predicted_state_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_state_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_predicted_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_forecasts_error_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_loglike PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_simulation_smoothed_state_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_measurement_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_using_univariate PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_state_disturbance_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_using_alterate PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_forecasts PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_forecasts_error PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_filtered_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_simulation_smoothed_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_simulation_smoothed_measurement_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_loglike PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_using_univariate PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_measurement_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_filtered_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_predicted_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_forecasts_error_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_states PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_state_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_forecasts PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_predicted_state_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_states_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_simulation_smoothed_state_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_forecasts_error PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_state_disturbance_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_filtered_state_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_measurement_disturbance_cov SKIPPED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_forecasts PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_predicted_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_loglike PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_filtered_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_filtered_state_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_states PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_predicted_state_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_states_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_simulation_smoothed_measurement_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_state_disturbance_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_simulation_smoothed_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_measurement_disturbance_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_forecasts_error PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_forecasts_error_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_simulation_smoothed_state_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_state_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_measurement_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_using_univariate PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_simulation_smoothed_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_measurement_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_simulation_smoothed_measurement_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_filtered_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_simulation_smoothed_state_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_forecasts_error PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_forecasts_error_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_loglike PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_state_disturbance_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_predicted_state_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_state_disturbance PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_states_cov PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_measurement_disturbance_cov SKIPPED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_forecasts PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_states PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_predicted_state PASSED [ 87%] statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_filtered_state_cov PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_to_restricted_equiv[params1] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-mul-mul] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_start_params[mul-None] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_dampen_no_trend[None] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[None-add-heuristic] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_restricted_round_tip[params1] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_start_params[add-mul] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-None-None] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_start_params[None-add] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_1_simulation[None-1] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-False-add-mul] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[10-add-None] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-False-None-None] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-True-mul-mul] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-False-None-None] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index_types[period] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-False-mul-add] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_integer_array PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_1_simulation[None-10] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_to_restricted_equiv[params0] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_restricted_round_tip[params0] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_brute[add-None] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[9-add-None] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[trust-constr] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_fixed_errors PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-False-None-add] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[add-add] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index[1000] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_no_params_to_optimize PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[add-None] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_error_initialization PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_all_initial_values PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_to_restricted_equiv[params2] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_fixed_basic PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-False-mul-None] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_restricted_round_tip[params2] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[None-None-estimated] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_fix_set_parameters PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_1_simulation[bootstrap-1] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[None-None-legacy-heuristic] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_fix_unfixable PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[9-add-add] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[mul-add] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-True-add-None] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_start_params[None-None] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index[10] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-None-mul] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[10-add-add] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[basinhopping] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[add-add-legacy-heuristic] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[None-add-estimated] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[None-mul] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[mul-None] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[None-add] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[9-None-add] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_brute[None-add] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[TNC] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-False-add-None] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[add-add] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[add-None-legacy-heuristic] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-True-mul-None] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[mul-add] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_valid_bounds PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[None-None] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-True-None-add] PASSED [ 87%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[None-None] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_basin_hopping PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index[2000] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_start_params[add-None] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_minimizer_kwargs_error PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_error_boxcox PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-True-add-mul] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[None-add-legacy-heuristic] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-False-add-add] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_boxcox_components PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_dampen_no_trend[mul] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_invalid_seasonal[add] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_boxcox PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[None-None-heuristic] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-False-mul-mul] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_error_dampen PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-add-mul] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-False-None-mul] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_start_params[mul-mul] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[10-None-add] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[Powell] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-False-add-None] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index[100] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_negative_multipliative[trend_seasonal1] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-False-mul-mul] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-True-mul-add] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[add-None-estimated] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-False-add-add] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_negative_multipliative[trend_seasonal0] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_start_params[None-mul] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_keywords PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_start_params[add-add] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_attributes PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-mul-add] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_damping_trend_zero PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_negative_multipliative[trend_seasonal2] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[10-None-None] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[add-add-estimated] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-None-add] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_invalid_start_param_length PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[mul-mul] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[L-BFGS-B] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-mul-None] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_brute[add-add] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[add-None] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_infer_freq PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[9-None-None] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_direct_holt_add PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_invalid_index PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_brute[None-None] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_use_boxcox_fit_override PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[SLSQP] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[add-mul] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-False-None-mul] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_summary_boxcox PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_debiased PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-True-None-None] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_different_inputs PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-True-None-mul] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[mul-mul] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-add-None] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_infeasible_bounds PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[add-None-heuristic] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[least_squares] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_2d_data PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[add-mul] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[None-mul] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[mul-None] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_1_simulation[bootstrap-10] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_bad_bounds PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[None-add] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_start_params[mul-add] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index_types[range] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-False-None-add] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-add-add] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_error_aliases PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[add-add-heuristic] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-False-mul-add] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-False-mul-None] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_invalid_seasonal[mul] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_dampen_no_trend[add] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-False-add-mul] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-True-add-add] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initial_level PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index_types[date_range] PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt_damp_r PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt_damp_fit PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_hw_seasonal_buggy PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_forecast XFAIL [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_forecast XFAIL [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_hw_seasonal PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_hw_seasonal_add_mul PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_simple_exp_smoothing PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_ndarray PASSED [ 88%] statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_predict PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh09::test_normalization PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh09::test_table_maxeval PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh09::test_basic PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh09::test_table_trace PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::test_johansen_result_aliases_and_rkt_meth PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::test_coint_johansen_0lag PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh25::test_table_maxeval PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh25::test_normalization PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh25::test_basic PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh25::test_table_trace PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJohMin18::test_table_trace PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJohMin18::test_table_maxeval PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJohMin18::test_normalization PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJohMin18::test_basic PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_basic PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_evals PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_table_maxeval PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_normalization PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_table_trace PASSED [ 88%] statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_evec PASSED [ 88%] statsmodels/tsa/tests/test_bds.py::TestBDSGDPC1::test_pvalue PASSED [ 88%] statsmodels/tsa/tests/test_bds.py::TestBDSGDPC1::test_stat PASSED [ 88%] statsmodels/tsa/tests/test_bds.py::TestBDSNormal::test_stat PASSED [ 88%] statsmodels/tsa/tests/test_bds.py::TestBDSNormal::test_pvalue PASSED [ 88%] statsmodels/tsa/tests/test_bds.py::TestBDSCombined::test_stat PASSED [ 88%] statsmodels/tsa/tests/test_bds.py::TestBDSCombined::test_pvalue PASSED [ 88%] statsmodels/tsa/tests/test_bds.py::TestBDSSequence::test_stat PASSED [ 88%] statsmodels/tsa/tests/test_bds.py::TestBDSSequence::test_pvalue PASSED [ 88%] statsmodels/tsa/arima/estimators/tests/test_burg.py::test_invalid PASSED [ 88%] statsmodels/tsa/arima/estimators/tests/test_burg.py::test_itsmr PASSED [ 88%] statsmodels/tsa/arima/estimators/tests/test_burg.py::test_brockwell_davis_example_514 PASSED [ 88%] statsmodels/tsa/arima/estimators/tests/test_burg.py::test_misc PASSED [ 88%] statsmodels/tsa/arima/estimators/tests/test_burg.py::test_nonstationary_series PASSED [ 88%] statsmodels/tsa/arima/estimators/tests/test_burg.py::test_brockwell_davis_example_513 PASSED [ 88%] statsmodels/stats/tests/test_deltacov.py::test_deltacov_margeff PASSED [ 88%] statsmodels/stats/tests/test_deltacov.py::TestDeltacovOLS::test_ttest PASSED [ 88%] statsmodels/stats/tests/test_deltacov.py::TestDeltacovOLS::test_diff PASSED [ 88%] statsmodels/stats/tests/test_deltacov.py::TestDeltacovOLS::test_method PASSED [ 88%] statsmodels/stats/tests/test_deltacov.py::TestDeltacovOLS::test_wald_test PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-None-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[0-mixed] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-0-all] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-init-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-init-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-init-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-None-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-init-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-init-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-all-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-init-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-all-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-init-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-init-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods1-all] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-all-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods2-mixed] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-diffuse-all-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods2-mixed] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods2-None] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-diffuse-None-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-diffuse-init-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-init-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-0-init] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-init-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-diffuse-init-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_basic[mixed] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-init-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-mixed-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-stationary-all-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-mixed-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_simulation_smoothing[None] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods1-mixed] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-init-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-mixed-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-init-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods1-all] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-0-None] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-init-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[0-mixed] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-diffuse-mixed-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_basic[None] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-mixed-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-mixed-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-diffuse-mixed-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-None-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-mixed-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-mixed-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-all-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods2-all] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-init-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-mixed-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-all-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-None-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-all-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-mixed-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-mixed-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-mixed-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-init-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-None-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-stationary-None-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-mixed-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods1-None] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-all-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-None-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods1-init] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods2-all] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-all-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-mixed-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-mixed-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-init-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-all-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-all-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods1-None] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-init-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-all-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-mixed-False] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-mixed-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-None-True] PASSED [ 88%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-0-mixed] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods2-all] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-init-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-all-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-mixed-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-all-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods2-all] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods1-init] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-all-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-init-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-all-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-init-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods1-init] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-0-init] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods2-None] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-mixed-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-init-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods1-mixed] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-init-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-mixed-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-all-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-0-all] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-diffuse-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-all-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods2-init] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[0-init] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-diffuse-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods1-mixed] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-init-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-mixed-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-diffuse-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods2-init] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-mixed-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-init-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-all-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods1-None] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_invalid_options PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-mixed-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods2-init] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods2-None] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-init-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[0-init] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-init-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods2-mixed] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-all-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-0-None] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-init-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_simulation_smoothing[mixed] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods1-mixed] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-0-init] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods1-mixed] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-diffuse-init-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-diffuse-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods2-all] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-init-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[0-all] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-0-None] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods2-init] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-all-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods2-mixed] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-init-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods2-all] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-stationary-mixed-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-mixed-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-init-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-0-mixed] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods1-init] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-mixed-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-all-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-stationary-init-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[0-all] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-all-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-0-all] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-init-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-init-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods1-all] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-init-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-diffuse-init-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-stationary-init-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-init-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-diffuse-mixed-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-0-mixed] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_time_varying_model PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_basic[init] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-init-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods2-init] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-mixed-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-0-None] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-init-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods1-None] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods1-all] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-init-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-all-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods1-None] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-all-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods1-all] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-init-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-init-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-stationary-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-init-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods2-mixed] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods1-all] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_basic[all] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-diffuse-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-stationary-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-init-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-init-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods1-init] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-stationary-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-0-all] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-mixed-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-init-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-init-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods1-None] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-diffuse-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-all-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-0-init] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods2-mixed] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods2-init] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-all-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-None-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[0-None] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods2-None] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-init-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-all-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-mixed-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods1-init] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-diffuse-all-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-all-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-all-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-mixed-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-None-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods2-None] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-init-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods1-mixed] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-mixed-False] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[0-None] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods2-None] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-init-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-all-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-mixed-True] PASSED [ 89%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-mixed-False] PASSED [ 90%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-None-False] PASSED [ 90%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-0-mixed] PASSED [ 90%] statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-None-True] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link12-link22-inverse_deriv] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink_deriv2_numdiff PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-inverse] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link12-link22-__call__] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link11-link21-inverse] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link12-link22-deriv] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link13-link23-inverse_deriv] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link13-link23-__call__] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_link_base_class_placeholders PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link13-link23-deriv] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link10-link20-__call__] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_inverse_deriv PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_inverse PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-deriv2] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link11-link21-inverse_deriv] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link11-link21-__call__] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link11-link21-deriv2] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-inverse] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link10-link20-inverse_deriv] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link10-link20-inverse] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_deriv PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link12-link22-deriv2] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-inverse_deriv] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link11-link21-inverse_deriv2] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-deriv] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link12-link22-inverse] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link10-link20-inverse_deriv2] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link12-link22-inverse_deriv2] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link11-link21-deriv] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link13-link23-inverse_deriv2] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-inverse_deriv2] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-inverse_deriv] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-inverse_deriv2] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link13-link23-inverse] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link13-link23-deriv2] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-deriv] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link10-link20-deriv] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-__call__] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link10-link20-deriv2] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_deriv2 PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_invlogit_stability PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-deriv2] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-__call__] PASSED [ 90%] statsmodels/genmod/families/tests/test_link.py::test_inverse_deriv2 PASSED [ 90%] statsmodels/robust/tests/test_covariance.py::test_mahalanobis PASSED [ 90%] statsmodels/robust/tests/test_covariance.py::test_outliers_gy PASSED [ 90%] statsmodels/robust/tests/test_covariance.py::test_cov_iter_invalid_rescale_raises PASSED [ 90%] statsmodels/robust/tests/test_covariance.py::test_cov_ms PASSED [ 90%] statsmodels/robust/tests/test_covariance.py::test_covdetmcd PASSED [ 90%] statsmodels/robust/tests/test_covariance.py::test_tyler PASSED [ 90%] statsmodels/robust/tests/test_covariance.py::test_get_detcov_startidx_invalid_methods_cov_raises PASSED [ 90%] statsmodels/robust/tests/test_covariance.py::test_robcov_SMOKE PASSED [ 90%] statsmodels/robust/tests/test_covariance.py::test_cov_tyler_regularized_corr_uses_scale PASSED [ 90%] statsmodels/robust/tests/test_covariance.py::test_covdetmm PASSED [ 90%] statsmodels/robust/tests/test_covariance.py::test_cov_tyler_regularized_n_iter PASSED [ 90%] statsmodels/robust/tests/test_covariance.py::TestOGKMad::test PASSED [ 90%] statsmodels/robust/tests/test_covariance.py::TestOGKTau::test PASSED [ 90%] statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_simple_poisson_vb PASSED [ 90%] statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_crossed_logit_map PASSED [ 90%] statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_simple_poisson_map PASSED [ 90%] statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_logit_map_crossed_formula PASSED [ 90%] statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_poisson_formula PASSED [ 90%] statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_fit_is_fit_map PASSED [ 90%] statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_simple_logit_vb PASSED [ 90%] statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_doc_examples PASSED [ 90%] statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_scale_map PASSED [ 90%] statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_poisson_formula_vcp_vc_names PASSED [ 90%] statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_elbo_grad PASSED [ 90%] statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_crossed_logit_vb_formula PASSED [ 90%] statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_simple_logit_map PASSED [ 90%] statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_crossed_poisson_map PASSED [ 90%] statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_crossed_poisson_vb PASSED [ 90%] statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_scale_vb PASSED [ 90%] statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_crossed_logit_vb PASSED [ 90%] statsmodels/tsa/stl/tests/test_mstl.py::test_fit_with_box_cox[data-auto] PASSED [ 90%] statsmodels/tsa/stl/tests/test_mstl.py::test_stl_kwargs_smoke PASSED [ 90%] statsmodels/tsa/stl/tests/test_mstl.py::test_output_similar_to_R_implementation PASSED [ 90%] statsmodels/tsa/stl/tests/test_mstl.py::test_seasonal_is_datafame_when_input_pandas_and_multiple_periods PASSED [ 90%] statsmodels/tsa/stl/tests/test_mstl.py::test_fit_with_box_cox[data-1] PASSED [ 90%] statsmodels/tsa/stl/tests/test_mstl.py::test_return_pandas_series_when_input_pandas_and_len_periods_one PASSED [ 90%] statsmodels/tsa/stl/tests/test_mstl.py::test_fit_with_box_cox[data--3.0] PASSED [ 90%] statsmodels/tsa/stl/tests/test_mstl.py::test_fit_with_box_cox[data-0.1] PASSED [ 90%] statsmodels/tsa/stl/tests/test_mstl.py::test_output_invariant_to_period_order[data-periods_ordered0-windows_ordered0-periods_not_ordered0-windows_not_ordered0] PASSED [ 90%] statsmodels/tsa/stl/tests/test_mstl.py::test_auto_fit_with_box_cox PASSED [ 90%] statsmodels/tsa/stl/tests/test_mstl.py::test_raise_value_error_when_periods_and_windows_diff_lengths[7-windows1] PASSED [ 90%] statsmodels/tsa/stl/tests/test_mstl.py::test_number_of_seasonal_components[data-periods1-None-2] PASSED [ 90%] statsmodels/tsa/stl/tests/test_mstl.py::test_number_of_seasonal_components[data-periods2-None-2] PASSED [ 90%] statsmodels/tsa/stl/tests/test_mstl.py::test_output_invariant_to_period_order[data-periods_ordered2-None-periods_not_ordered2-None] PASSED [ 90%] statsmodels/tsa/stl/tests/test_mstl.py::test_output_invariant_to_period_order[data-periods_ordered1-windows_ordered1-periods_not_ordered1-windows_not_ordered1] PASSED [ 90%] statsmodels/tsa/stl/tests/test_mstl.py::test_plot PASSED [ 90%] statsmodels/tsa/stl/tests/test_mstl.py::test_raise_value_error_when_periods_and_windows_diff_lengths[periods0-1] PASSED [ 90%] statsmodels/tsa/stl/tests/test_mstl.py::test_number_of_seasonal_components[data-3-None-1] PASSED [ 90%] statsmodels/tools/tests/test_docstring_helpers.py::test_indent_non_string_returns_empty_string PASSED [ 90%] statsmodels/tools/tests/test_docstring_helpers.py::test_indent_none_or_empty_returns_empty_string PASSED [ 90%] statsmodels/tools/tests/test_docstring_helpers.py::test_substitution_update_dict_params PASSED [ 90%] statsmodels/tools/tests/test_docstring_helpers.py::test_substitution_update_noop_for_positional_params PASSED [ 90%] statsmodels/tools/tests/test_docstring_helpers.py::test_indent_multiline PASSED [ 90%] statsmodels/tools/tests/test_docstring_helpers.py::test_indent_single_line_unchanged PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cancorr_demean_false_differs PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cc_stats_identities PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cancorr_accepts_array_like PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_partial_project_accepts_array_like PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cancorr_perfect_correlation PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cc_stats_univariate_equals_correlation PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cc_ranktest_return_object[True] PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cc_stats_runs PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cc_ranktest_fullrank_matches_smallest_cc PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cc_ranktest_accepts_array_like PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cc_ranktest_return_object[False] PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cc_ranktest_not_fullrank_matches_cumulative_formula PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cancorr_shape PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cancorr_standardize_same_as_demean PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cc_stats_against_r PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_partial_project_1d_input PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cc_stats_demean_false PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cc_stats_accepts_array_like PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cancorr_returns_real_dtype PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cc_ranktest_fullrank_univariate_matches_formula PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cc_stats_return_object PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_partial_project_matches_lstsq PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_cancorr_against_r PASSED [ 90%] statsmodels/stats/tests/test_multivariate_tools.py::test_partial_project_orthogonality PASSED [ 90%] statsmodels/tsa/arima/estimators/tests/test_gls.py::test_alternate_arma_estimators_invalid PASSED [ 90%] statsmodels/tsa/arima/estimators/tests/test_gls.py::test_results PASSED [ 90%] statsmodels/tsa/arima/estimators/tests/test_gls.py::test_brockwell_davis_example_661 PASSED [ 90%] statsmodels/tsa/arima/estimators/tests/test_gls.py::test_arma_kwargs PASSED [ 90%] statsmodels/tsa/arima/estimators/tests/test_gls.py::test_alternate_arma_estimators_valid PASSED [ 90%] statsmodels/tsa/arima/estimators/tests/test_gls.py::test_iterations PASSED [ 90%] statsmodels/tsa/arima/estimators/tests/test_gls.py::test_integrated PASSED [ 90%] statsmodels/tsa/arima/estimators/tests/test_gls.py::test_brockwell_davis_example_662 PASSED [ 90%] statsmodels/tsa/arima/estimators/tests/test_gls.py::test_misc PASSED [ 90%] statsmodels/tsa/arima/estimators/tests/test_gls.py::test_integrated_invalid PASSED [ 90%] statsmodels/sandbox/distributions/tests/test_multivariate.py::test_bghfactor_matches_direct_formula PASSED [ 90%] statsmodels/sandbox/distributions/tests/test_multivariate.py::test_chi_pdf_is_exp_of_chi_logpdf PASSED [ 90%] statsmodels/sandbox/distributions/tests/test_multivariate.py::test_chi_pdf_matches_scipy PASSED [ 90%] statsmodels/sandbox/distributions/tests/test_multivariate.py::test_chi2_pdf_matches_scipy_with_workaround_extra_arg PASSED [ 90%] statsmodels/sandbox/distributions/tests/test_multivariate.py::test_chi_logpdf_matches_scipy PASSED [ 90%] statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMVDistributions::test_mvt_pdf PASSED [ 90%] statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMVDistributions::test_mvn_pdf PASSED [ 90%] statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_3 SKIPPED [ 90%] statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_2 SKIPPED [ 90%] statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_4 SKIPPED [ 90%] statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_1 SKIPPED [ 90%] statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_5 SKIPPED [ 90%] statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMultivariateTRvs::test_df_inf_reduces_to_multivariate_normal PASSED [ 90%] statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMultivariateTRvs::test_shape PASSED [ 90%] statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMultivariateTRvs::test_moments_match_theoretical_by_monte_carlo PASSED [ 90%] statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMultivariateTRvs::test_reproducible_with_same_rng_seed PASSED [ 90%] statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py::test_misc PASSED [ 90%] statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py::test_nonstationary_series PASSED [ 90%] statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py::test_invalid PASSED [ 90%] statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py::test_nonstationary_series_variance XFAIL [ 90%] statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py::test_brockwell_davis_example_511 PASSED [ 90%] statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py::test_itsmr PASSED [ 90%] statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_nonstationary[ar_params0] PASSED [ 90%] statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_nonstationary[ar_params2] PASSED [ 90%] statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params4-ma_params4-1.123] PASSED [ 90%] statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params5-ma_params5-1.123] PASSED [ 90%] statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_nonstationary[1.0] PASSED [ 90%] statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params2-ma_params2-1] PASSED [ 90%] statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params3-ma_params3-1] PASSED [ 90%] statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params0-ma_params0-1] PASSED [ 90%] statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params1-ma_params1-1] PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::test_multivariate_namedtuple[test_corr-args1] PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::test_univariate_namedtuple[test_var-args1] PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::test_univariate_namedtuple[test_joint_skew_kurt-args4] PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::test_univariate_namedtuple[test_skew-args2] PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::test_multivariate_namedtuple[mv_test_mean-args0] PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::test_univariate_namedtuple[test_kurt-args3] PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::test_mv_mean_contour PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::test_univariate_namedtuple[test_mean-args0] PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::test_uv_plot_contour PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_ci_var PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_descstat_invalid_input[endog1] PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_descstat_invalid_input[endog0] PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_test_corr_weights PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_ci_kurt PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_test_skew PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_ci_skew_weights PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_test_kurt PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_ci_skew PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_mv_test_mean_weights PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_test_corr PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_test_var_weights PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_test_var PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_ci_corr PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_mv_test_mean PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_test_mean_weights PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_ci_mean PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_joint_skew_kurt PASSED [ 90%] statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_test_mean PASSED [ 90%] statsmodels/genmod/tests/test_gee_glm.py::TestCompareGaussian::test_resid PASSED [ 90%] statsmodels/genmod/tests/test_gee_glm.py::TestCompareGaussian::test_basic PASSED [ 90%] statsmodels/genmod/tests/test_gee_glm.py::TestCompareGamma::test_basic PASSED [ 90%] statsmodels/genmod/tests/test_gee_glm.py::TestCompareGamma::test_resid PASSED [ 90%] statsmodels/genmod/tests/test_gee_glm.py::TestComparePoisson::test_basic PASSED [ 90%] statsmodels/genmod/tests/test_gee_glm.py::TestComparePoisson::test_resid PASSED [ 90%] statsmodels/genmod/tests/test_gee_glm.py::TestCompareLogit::test_resid PASSED [ 90%] statsmodels/genmod/tests/test_gee_glm.py::TestCompareLogit::test_basic PASSED [ 90%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-True-4] PASSED [ 90%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-True-None] PASSED [ 90%] statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: False-12] PASSED [ 90%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-False-4] PASSED [ 90%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-True-12] PASSED [ 90%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-False-None] PASSED [ 90%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-False-12] PASSED [ 90%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-True-12] PASSED [ 90%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-True-4] PASSED [ 90%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-True-None] PASSED [ 90%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-False-12] PASSED [ 90%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-False-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-True-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-True-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-False-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-True-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-False-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-False-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-True-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-True-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-False-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-False-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-True-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-True-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-True-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-False-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-True-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-True-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-True-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-False-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-True-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-True-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-False-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-True-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-True-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-True-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-False-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-True-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-False-False-None] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-False-12] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-False-4] PASSED [ 91%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-True-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-True-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-True-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[nofreq] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-True-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-True-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-False-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-True-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-False-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-True-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-False-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-True-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-True-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-True-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-False-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-False-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-True-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-True-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-True-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-True-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-False-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-True-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-True-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-False-False-12] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-False-None] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-True-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-False-4] PASSED [ 92%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-False-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-True-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-False-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-True-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-False-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-False-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-True-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-False-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-False-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-False-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-False-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-True-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-True-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-False-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-True-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-False-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-True-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-True-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-True-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-False-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: dataframe, exponential: False] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: dataframe, exponential: True] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-True-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-True-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-True-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-False-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-True-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-False-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[range] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_plot_predict PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-False-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: array, exponential: False] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_auto PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-True-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-True-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-False-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-True-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-True-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-True-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-True-None] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-False-12] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-False-False-4] PASSED [ 93%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-True-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-True-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-False-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-True-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-True-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-True-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-True-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-False-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-True-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[datetime] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-True-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-False-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-False-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-False-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-False-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-False-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-True-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_pi_width PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-True-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: series, exponential: True] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-False-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-True-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-True-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-True-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: series, exponential: False] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-False-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-False-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_no_freq PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-False-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-True-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-True-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-False-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-False-4] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-True-True-None] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-False-12] PASSED [ 94%] statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: array, exponential: True] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-False-4] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-True-4] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: True-4] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-False-4] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-False-12] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-True-True-None] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[period] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-False-4] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-False-4] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-True-12] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-True-None] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-True-None] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-True-4] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-False-12] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-True-12] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-True-None] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-False-False-12] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-False-None] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-False-12] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-False-4] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-True-None] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-True-4] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-False-12] PASSED [ 95%] statsmodels/stats/tests/test_outliers_influence.py::test_reset_stata PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[HomogeneityTestResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[ADFullerResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_dispersion_results_summary_frame_still_works PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[RankCompareResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[ScoreTestResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[PoissonTest2indepResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[TostProportionsResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[TostPoissonResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_power_results_array_protocol[PowerDiffResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[ProbSuperiorResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[ScaleAnovaResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[PowerEquivalenceResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_power_results_array_protocol[PowerEquivalenceResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[ChisquareProbResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[RURResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_adfuller_kpss_rur_repr_no_stale_attribute PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_power_results_array_protocol[PowerRatioResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[NonequivalencePoissonResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[ZeroModificationTestResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_power_results_array_protocol[PowerNegbinRatioResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[EquivalenceOnewayResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[PowerNegbinRatioResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[PoissonTestResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_rank_compare_result_methods_still_work PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[KPSSResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[PowerRatioResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[CovOnewayResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[Proportions2indepTestResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[CovTestResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[HotellingResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[ScaleEquivalenceResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[AnovaResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[ScoreTestProportionsResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[ChisquareBinningResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[DispersionResults] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[DieboldMarianoResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[TostProbSuperiorResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[ZeroinflationJHResult] PASSED [ 95%] statsmodels/stats/tests/test_limited_iteration_mixin.py::test_limited_iteration_mixin_protocol[PowerDiffResult] PASSED [ 95%] statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_ndarray_int PASSED [ 95%] statsmodels/tsa/arima/tests/test_tools.py::test_validate_basic PASSED [ 95%] statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_list_int PASSED [ 95%] statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_tuple_bool PASSED [ 95%] statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_int PASSED [ 95%] statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_invalid PASSED [ 95%] statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_misc PASSED [ 95%] statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_list_bool PASSED [ 95%] statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_tuple_int PASSED [ 95%] statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_ndarray_bool PASSED [ 95%] statsmodels/imputation/tests/test_mice.py::test_mice_data_iterable PASSED [ 95%] statsmodels/imputation/tests/test_mice.py::test_micedata_miss1 PASSED [ 95%] statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE1 PASSED [ 95%] statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE PASSED [ 95%] statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE2 PASSED [ 95%] statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE1_regularized PASSED [ 95%] statsmodels/imputation/tests/test_mice.py::TestMICEData::test_split_data_predict_kwds_use_missing_rows PASSED [ 95%] statsmodels/imputation/tests/test_mice.py::TestMICEData::test_phreg PASSED [ 95%] statsmodels/imputation/tests/test_mice.py::TestMICEData::test_fit_obs PASSED [ 95%] statsmodels/imputation/tests/test_mice.py::TestMICEData::test_plot_imputed_hist PASSED [ 95%] statsmodels/imputation/tests/test_mice.py::TestMICEData::test_plot_bivariate PASSED [ 95%] statsmodels/imputation/tests/test_mice.py::TestMICEData::test_plot_missing_pattern PASSED [ 95%] statsmodels/imputation/tests/test_mice.py::TestMICEData::test_next_sample PASSED [ 95%] statsmodels/imputation/tests/test_mice.py::TestMICEData::test_settingwithcopywarning PASSED [ 95%] statsmodels/imputation/tests/test_mice.py::TestMICEData::test_default PASSED [ 95%] statsmodels/imputation/tests/test_mice.py::TestMICEData::test_pertmeth PASSED [ 95%] statsmodels/imputation/tests/test_mice.py::TestMICEData::test_set_imputer PASSED [ 95%] statsmodels/graphics/tests/test_functional.py::test_hdr_plot PASSED [ 95%] statsmodels/graphics/tests/test_functional.py::test_fboxplot_rainbowplot_invalid_method_raises PASSED [ 95%] statsmodels/graphics/tests/test_functional.py::test_hdr_threshold PASSED [ 95%] statsmodels/graphics/tests/test_functional.py::test_fboxplot_rainbowplot PASSED [ 95%] statsmodels/graphics/tests/test_functional.py::test_hdr_multiple_alpha PASSED [ 95%] statsmodels/graphics/tests/test_functional.py::test_banddepth_BD2 PASSED [ 95%] statsmodels/graphics/tests/test_functional.py::test_hdr_ncomp PASSED [ 95%] statsmodels/graphics/tests/test_functional.py::test_hdr_alpha PASSED [ 95%] statsmodels/graphics/tests/test_functional.py::test_banddepth_invalid_method_raises PASSED [ 95%] statsmodels/graphics/tests/test_functional.py::test_banddepth_MBD PASSED [ 95%] statsmodels/graphics/tests/test_functional.py::test_hdr_bw PASSED [ 95%] statsmodels/graphics/tests/test_functional.py::test_hdr_basic_brute PASSED [ 95%] statsmodels/graphics/tests/test_functional.py::test_hdr_basic PASSED [ 95%] statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plottype PASSED [ 95%] statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_recode_series PASSED [ 95%] statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_rainbow PASSED [ 95%] statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_pandas[str] PASSED [ 95%] statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_pandas[int] PASSED [ 95%] statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_both PASSED [ 95%] statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_formatting PASSED [ 95%] statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_formatting_errors PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_stl.py::test_equivalence_forecast[7-ETSModel] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_stl.py::test_get_prediction PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_stl.py::test_sharex PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_stl.py::test_no_var_pred[True] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_stl.py::test_exceptions PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_stl.py::test_no_var_pred[False] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_stl.py::test_equivalence_forecast[1-ETSModel] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_stl.py::test_equivalence_forecast[23-ETSModel] PASSED [ 95%] statsmodels/tsa/forecasting/tests/test_stl.py::test_smoke PASSED [ 95%] statsmodels/stats/tests/test_covariance.py::test_transform_corr_normal PASSED [ 95%] statsmodels/stats/tests/test_covariance.py::test_corr_qu_ns_REGRESSION PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_with_nans[t-True] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_dynamic_varmax[c-False] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_with_nans[t-False] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_varmax[c-True] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_dynamic_varmax[n-True] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_sarimax[t-True] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_varmax[c-True] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_varmax[c-False] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_with_nans_TVSS PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_varmax[t-False] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_varmax[c-False] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_varmax[n-True] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_varmax[t-False] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_sarimax[n-False] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_dynamic_varmax[c-True] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_varmax[n-True] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_dynamic_varmax[t-False] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_with_nans[c-False] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_memory_no_predicted PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_varmax[t-True] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_dynamic_varmax[n-False] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_varmax[t-True] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_sarimax[c-True] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_with_nans[c-True] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_sarimax[t-False] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_varmax[n-False] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_TVSS PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_with_nans[n-True] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predict_dates PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_varmax[n-False] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_sarimax[c-False] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_dynamic_varmax[t-True] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_sarimax[n-True] PASSED [ 95%] statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_with_nans[n-False] PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_burg PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_yule_walker PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_hannan_rissanen PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_default_trend PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_extend_with_exog_constant_over_window PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_reproducible_simulation[default_rng] PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_append_with_exog PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_hannan_rissanen_with_fixed_params[ar_order3-0-fixed_params3] PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_alternative_estimators_seasonal_differencing PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_innovations PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_forecast PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_reproducible_simulation[7] PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_append_with_exog_and_trend PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_nonstationary_gls_error PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_clone PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_summary_after_remove_data PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_invalid PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_hannan_rissanen_with_fixed_params[ar_order4-ma_order4-fixed_params4] PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_reproducible_simulation[RandomState] PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_constant_integrated_model_error PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_low_memory PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_hannan_rissanen_with_fixed_params[1-1-fixed_params1] PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_innovations_mle PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_hannan_rissanen_with_fixed_params[1-1-fixed_params0] PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_cov_type_none PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_statespace PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_append_with_exog_pandas PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_append PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_forecast_with_exog PASSED [ 95%] statsmodels/tsa/arima/tests/test_model.py::test_hannan_rissanen_with_fixed_params[2-3-fixed_params2] PASSED [ 95%] statsmodels/regression/tests/test_dimred.py::test_sir_regularized_1d PASSED [ 95%] statsmodels/regression/tests/test_dimred.py::test_poisson PASSED [ 95%] statsmodels/regression/tests/test_dimred.py::test_sir_regularized_2d PASSED [ 95%] statsmodels/regression/tests/test_dimred.py::test_covreduce PASSED [ 95%] statsmodels/regression/tests/test_dimred.py::test_sir_regularized_slice_n PASSED [ 95%] statsmodels/regression/tests/test_dimred.py::test_sir_regularized_numdiff PASSED [ 95%] statsmodels/regression/tests/test_theil.py::TestTheilLinRestrictionApprox::test_attributes PASSED [ 95%] statsmodels/regression/tests/test_theil.py::TestTheil3::test_attributes PASSED [ 95%] statsmodels/regression/tests/test_theil.py::TestTheilTextile::test_summary PASSED [ 95%] statsmodels/regression/tests/test_theil.py::TestTheilTextile::test_other PASSED [ 95%] statsmodels/regression/tests/test_theil.py::TestTheilTextile::test_basic PASSED [ 95%] statsmodels/regression/tests/test_theil.py::TestTheilTextile::test_no_penalization PASSED [ 95%] statsmodels/regression/tests/test_theil.py::TestTheil2::test_attributes PASSED [ 95%] statsmodels/regression/tests/test_theil.py::TestTheilLinRestriction::test_attributes PASSED [ 95%] statsmodels/regression/tests/test_theil.py::TestTheilPanel::test_combine_subset_regression PASSED [ 95%] statsmodels/regression/tests/test_theil.py::TestTheilPanel::test_regression PASSED [ 95%] statsmodels/regression/tests/test_theil.py::TestTheilGLS::test_attributes PASSED [ 95%] statsmodels/regression/tests/test_theil.py::TestTheil1::test_attributes PASSED [ 95%] statsmodels/tools/tests/test_catadd.py::test_add_indep PASSED [ 95%] statsmodels/multivariate/tests/test_factor.py::test_no_endog_no_corr_raises PASSED [ 95%] statsmodels/multivariate/tests/test_factor.py::test_example_compare_to_R_output PASSED [ 95%] statsmodels/multivariate/tests/test_factor.py::test_plots PASSED [ 95%] statsmodels/multivariate/tests/test_factor.py::test_factor_scoring PASSED [ 95%] statsmodels/multivariate/tests/test_factor.py::test_getframe_smoke PASSED [ 95%] statsmodels/multivariate/tests/test_factor.py::test_both_endog_and_corr_warns PASSED [ 95%] statsmodels/multivariate/tests/test_factor.py::test_auto_col_name PASSED [ 95%] statsmodels/multivariate/tests/test_factor.py::test_unknown_fa_method_error PASSED [ 95%] statsmodels/multivariate/tests/test_factor.py::test_direct_corr_matrix PASSED [ 96%] statsmodels/multivariate/tests/test_factor.py::test_factor_missing PASSED [ 96%] statsmodels/iolib/tests/test_summary_old.py::test_regression_summary XFAIL [ 96%] statsmodels/tools/tests/test_web.py::TestWeb::test_nothing PASSED [ 96%] statsmodels/tools/tests/test_web.py::TestWeb::test_errors PASSED [ 96%] statsmodels/tools/tests/test_web.py::TestWeb::test_function PASSED [ 96%] statsmodels/tools/tests/test_web.py::TestWeb::test_string PASSED [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_spdmapoly_with_default_w XFAILNone:` branch, but `nfreq` is not a parameter, local, or module-level name anywhere -- calling spdmapoly(None) always raises NameError.) [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_fftar_default_length_matches_ar PASSED [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_filter2 XFAIL (BUG: filter2() does `from statsmodels.tsa.filters import fftconvolve3`, but fftconvolve3 is not (no longer?) re-exported from that package's __init__ -- it now only lives in statsmodels.tsa.filters.filtertools. filter2() always raises ImportError. Separately, even fftconvolve3 itself currently raises AttributeError on modern numpy (`np.complex` was removed as a deprecated alias), so fixing the import alone would not be enough to make filter2() work.) [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_spdroots_matches_closed_form_ar1_formula PASSED [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_spdar1_scalar_and_array_ar_are_consistent PASSED [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_filter_n_equals_fftarma_branch_is_unreachable PASSED [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_fftarma_equals_fftma_over_fftar PASSED [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_invpowerspd_matches_inherited_acovf PASSED [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_fftma_default_length_should_match_ma_not_ar XFAILnomial to the *AR* polynomial's length by default -- almost certainly copy-pasted from fftar() without updating self.ar to self.ma. Whenever len(ar) != len(ma), fftma(None) returns an array of the wrong length (matching ar, not ma).) [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_padarr_atstart PASSED [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_acf2spdfreq_shape PASSED [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_padarr_atend PASSED [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_spdshift_shape_and_nonnegative PASSED [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_spddirect_is_nonnegative PASSED [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_pad_extends_both_polynomials PASSED [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_spd_shape_is_2n PASSED [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_spdpoly_approximates_spdroots PASSED [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_filter_matches_direct_fft_ratio PASSED [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_fftarma_default_n_is_nobs PASSED [ 96%] statsmodels/sandbox/tsa/tests/test_fftarma.py::test_fftma_explicit_length PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::test_prediction_results_clear PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::test_stationary_initialization PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastDoubleComplex::test_pickled_filter PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastDoubleComplex::test_copied_filter PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastDoubleComplex::test_loglike PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastDoubleComplex::test_filtered_state PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastDouble::test_pickled_filter PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastDouble::test_copied_filter PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastDouble::test_loglike PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastDouble::test_filtered_state PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Conserve::test_copied_filter PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Conserve::test_loglike PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Conserve::test_filtered_state PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Conserve::test_pickled_filter PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ConserveAll::test_filtered_state PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ConserveAll::test_pickled_filter PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ConserveAll::test_copied_filter PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ConserveAll::test_loglike PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987DoubleComplex::test_loglike PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987DoubleComplex::test_pickled_filter PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987DoubleComplex::test_filtered_state PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987DoubleComplex::test_copied_filter PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastConserve::test_pickled_filter PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastConserve::test_loglike PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastConserve::test_copied_filter PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastConserve::test_filtered_state PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989ConserveAll::test_loglike PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989ConserveAll::test_filtered_state PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Single::test_pickled_filter SKIPPED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Single::test_copied_filter SKIPPED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Single::test_filtered_state SKIPPED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Single::test_loglike SKIPPED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Double::test_pickled_filter PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Double::test_loglike PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Double::test_copied_filter PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Double::test_filtered_state PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987SingleComplex::test_pickled_filter SKIPPED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987SingleComplex::test_loglike SKIPPED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987SingleComplex::test_copied_filter SKIPPED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987SingleComplex::test_filtered_state SKIPPED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989ForecastConserve::test_loglike PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989ForecastConserve::test_filtered_state PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989ForecastDouble::test_loglike PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989ForecastDouble::test_filtered_state PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989ForecastDoubleComplex::test_filtered_state PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989ForecastDoubleComplex::test_loglike PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989::test_filtered_state PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989::test_loglike PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989Conserve::test_loglike PASSED [ 96%] statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989Conserve::test_filtered_state PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[MS-QS-APR] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_1d[standardize2-True] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_news_MQ PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_quasi_newton_fitting PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_1d[standardize2-False] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_monthly[False-2-True] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_2d[standardize2-False] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_monthly[True-1-False] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_invalid_standardize_1d PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_monthly[False-1-False] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_monthly[False-1-True] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_k_factors_gt1_factor_order_gt1_no_idiosyncratic_ar1 PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_1d[standardize1-True] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[M-QS-APR] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_2d[standardize1-True] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[M-QS-DEC] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[M-Q] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_coefficient_of_determination PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_k_factors_gt1 PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_1d[standardize0-False] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[MS-QS] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_results_factors PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_k_factors_gt1_factor_order_gt1 PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[MS-Q] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_2d[standardize0-False] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_append_extend_apply PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_2d[standardize2-True] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[MS-QS-DEC] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_factor_order_12 PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[M-QS] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_monthly[True-1-True] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_1d[standardize1-False] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_1d[standardize0-True] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[MS-Q-DEC] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_invalid_model_specification PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_monthly[False-2-False] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_monthly[True-2-False] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_2d[standardize1-False] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_monthly[True-2-True] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_1d[standardize3-True] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[M-Q-DEC] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_ar6_no_quarterly PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_factor_order_gt1 PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[MS-Q-JAN] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_summary PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_summary_after_remove_data PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_MQ[False] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_em_invalid_mstep_method PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_MQ[True] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_1d[standardize3-False] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[M-Q-JAN] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_default PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_2d[standardize0-True] PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_idiosyncratic_ar1_False PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_news_monthly PASSED [ 96%] statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_filter_reproduces_model_loglike PASSED [ 96%] statsmodels/tools/tests/test_rootfinding.py::test_brentq_expanding PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_sim[tester0-300-100-6-sdp] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester4-50] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester3-50] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester1-49] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_sim[tester1-300-100-3.5-equi] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester2-50] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester0-49] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester5-50] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_sim[tester2-300-100-3.5-sdp] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester5-49] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester2-49] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester0-50] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester3-49] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester1-50] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester4-49] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_equi PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester2-50] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester0-49] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_sim[tester2-300-100-3.5-equi] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester5-50] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester4-50] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_sim[tester0-300-100-6-equi] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_sim[tester1-300-100-3.5-sdp] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_sim[tester3-3000-200-3.5-equi] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester3-50] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester1-49] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester3-49] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_sdp PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester1-50] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_threshold PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_sim[tester3-3000-200-3.5-sdp] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester4-49] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester5-49] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester2-49] PASSED [ 96%] statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester0-50] PASSED [ 96%] statsmodels/multivariate/factor_rotation/tests/test_rotation.py::test_rotateA_invalid_rotation_method_raises PASSED [ 96%] statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestWrappers::test_methods PASSED [ 96%] statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestGPARotation::test_oblimin PASSED [ 96%] statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestGPARotation::test_orthomax PASSED [ 96%] statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestGPARotation::test_orthogonal_target PASSED [ 96%] statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestGPARotation::test_orthogonal_partial_target PASSED [ 96%] statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestGPARotation::test_CF PASSED [ 96%] statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestGPARotation::test_equivalence_orthomax_oblimin PASSED [ 96%] statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestAnalyticRotation::test_orthogonal_target PASSED [ 96%] statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestAnalyticRotation::test_target_rotation PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::test_cov_nearest_min_diag[clipped] PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::test_corr_psd PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::test_cov_nearest_min_diag[nearest] PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-10] PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-15] PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-06] PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[0] PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_clipped PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_cov_nearest PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_nearest PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::TestCovPSD::test_cov_nearest PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_sparse[1] PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_logdet PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_solve PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_sparse[2] PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog_sparse[1] PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog[2] PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor[2] PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_thresholded PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor[1] PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog[1] PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog_sparse[2] PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_decorrelate PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_spg_optim PASSED [ 96%] statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_arrpack PASSED [ 96%] statsmodels/stats/tests/test_multivariate.py::test_mvmean_2indep PASSED [ 96%] statsmodels/stats/tests/test_multivariate.py::test_mv_mean PASSED [ 96%] statsmodels/stats/tests/test_multivariate.py::test_confint_simult PASSED [ 96%] statsmodels/stats/tests/test_multivariate.py::test_cov_oneway PASSED [ 96%] statsmodels/stats/tests/test_multivariate.py::TestCovStructure::test_diagonal PASSED [ 96%] statsmodels/stats/tests/test_multivariate.py::TestCovStructure::test_blockdiagonal PASSED [ 96%] statsmodels/stats/tests/test_multivariate.py::TestCovStructure::test_spherical PASSED [ 96%] statsmodels/stats/tests/test_multivariate.py::TestCovStructure::test_covmat PASSED [ 96%] statsmodels/gam/tests/test_gam.py::test_glmgam_results_hat_matrix_cv_gcv_test_significance PASSED [ 96%] statsmodels/gam/tests/test_gam.py::test_gam_discrete PASSED [ 96%] statsmodels/gam/tests/test_gam.py::test_multivariate_gam_cv PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_gam_penalty PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_multivariate_cubic_splines PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_multivariate_penalty PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_gam_gradient PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_get_sqrt PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_spl_s PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_approximation PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_summary_after_remove_data PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_cyclic_cubic_splines PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_train_test_smoothers PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_glm_pirls_compatibility PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_penalized_wls PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_make_augmented_matrix PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_partial_values PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_zero_penalty PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_cov_params PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_gam_glm PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_multivariate_gam_1d_data PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_gam_hessian PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_partial_values2 PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_partial_plot PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_multivariate_gam_cv_path PASSED [ 97%] statsmodels/gam/tests/test_gam.py::test_generic_smoother PASSED [ 97%] statsmodels/datasets/tests/test_utils.py::test_clear_data_home PASSED [ 97%] statsmodels/datasets/tests/test_utils.py::test_clear_data_home_uses_default_when_none PASSED [ 97%] statsmodels/datasets/tests/test_utils.py::test_get_rdataset PASSED [ 97%] statsmodels/datasets/tests/test_utils.py::test_webuse_pandas PASSED [ 97%] statsmodels/datasets/tests/test_utils.py::test_webuse PASSED [ 97%] statsmodels/datasets/tests/test_utils.py::test_get_rdataset_write_read_cache PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_CV_ML PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_unordered_CV_LS PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_efficient_user_specified_bw PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_cvml_efficient PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_pdf_mixeddata PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_normal_ref PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_cdf PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_mixeddata_cdf PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_pdf_continuous PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_mixeddata_CV_LS PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[cos] PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[triw] PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[tri] PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[epa] PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::test_conditional_imse_matches_hand_computed_cv PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[gau] PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[biw] PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[uni] PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_unordered_CV_LS PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cdf PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_continuous PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_LS_vs_ML PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cvls_efficient PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_CV_LS PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_efficient_notrandom PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_ordered PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_efficient_user_specified_bw PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cvml_efficient PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_CV_ML PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_mixeddata_cdf PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_int PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_all_samples_same_location_bw PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_weighted_pdf_non_fft PASSED [ 97%] statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_pdf_non_fft PASSED [ 97%] statsmodels/discrete/tests/test_margins.py::test_discrete_margins_summary_multi_equation PASSED [ 97%] statsmodels/discrete/tests/test_margins.py::test_discrete_margins_summary_single_equation PASSED [ 97%] statsmodels/discrete/tests/test_margins.py::TestPoissonMarginDummy::test_margins_table PASSED [ 97%] statsmodels/discrete/tests/test_margins.py::TestNegBinMarginDummy::test_margins_table PASSED [ 97%] statsmodels/discrete/tests/test_margins.py::TestNegBinPMargin::test_margins_table PASSED [ 97%] statsmodels/discrete/tests/test_margins.py::TestNegBinMargin::test_margins_table PASSED [ 97%] statsmodels/discrete/tests/test_margins.py::TestPoissonMargin::test_margins_table PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_hpfilter_returns_cycletrendresult PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_bking_pandas PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_cffilter_returns_cycletrendresult PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_bking1d PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_cfitz_pandas PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_hpfilter PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_bking2d PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_hpfilter_pandas PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_cfitz_filter PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_miso_lfilter_combines_inputs_like_a_causal_fir_filter[2] PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_miso_lfilter_combines_inputs_like_a_causal_fir_filter[3] PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_fftconvolve3_modes[full] PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_miso_lfilter_combines_inputs_like_a_causal_fir_filter[1] PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_miso_lfilter_useic_zero_matches_default PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_miso_lfilter_combines_inputs_like_a_causal_fir_filter[5] PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_fftconvolve3_complex_dtype PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_miso_lfilter_combines_inputs_like_a_causal_fir_filter[4] PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_fftconvolve3_modes[valid] PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_fftconvolve3_modes[same] PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_pandas_freq_decorator PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_fftconvolve3_matches_lfilter PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_fftconvolveinv_roundtrip PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::test_miso_lfilter_applies_ar_dynamics_to_combined_input PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_pandas2d PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_convolution PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_recursive PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_convolution2d PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_pandas PASSED [ 97%] statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_odd_length_filter PASSED [ 97%] statsmodels/formula/tests/test_formula.py::TestFormulaPandas::test_endog PASSED [ 97%] statsmodels/formula/tests/test_formula.py::TestFormulaPandas::test_exog_names PASSED [ 97%] statsmodels/formula/tests/test_formula.py::TestFormulaPandas::test_design PASSED [ 97%] statsmodels/formula/tests/test_formula.py::TestFormulaPandas::test_summary PASSED [ 97%] statsmodels/formula/tests/test_formula.py::TestFormulaPandas::test_endog_names PASSED [ 97%] statsmodels/formula/tests/test_formula.py::test_patsy_lazy_dict PASSED [ 97%] statsmodels/formula/tests/test_formula.py::test_eval_env_dict_is_used_in_patsy PASSED [ 97%] statsmodels/formula/tests/test_formula.py::test_predict_nondataframe PASSED [ 97%] statsmodels/formula/tests/test_formula.py::test_formula_predict_series PASSED [ 97%] statsmodels/formula/tests/test_formula.py::test_formula_predict PASSED [ 97%] statsmodels/formula/tests/test_formula.py::test_formula_missing_data PASSED [ 97%] statsmodels/formula/tests/test_formula.py::test_formula_predict_series_exog PASSED [ 97%] statsmodels/formula/tests/test_formula.py::test_formula_environment PASSED [ 97%] statsmodels/formula/tests/test_formula.py::test_tests PASSED [ 97%] statsmodels/formula/tests/test_formula.py::test_formula_labels PASSED [ 97%] statsmodels/formula/tests/test_formula.py::TestFormulaDict::test_summary PASSED [ 97%] statsmodels/formula/tests/test_formula.py::TestFormulaDict::test_exog_names PASSED [ 97%] statsmodels/formula/tests/test_formula.py::TestFormulaDict::test_endog PASSED [ 97%] statsmodels/formula/tests/test_formula.py::TestFormulaDict::test_design PASSED [ 97%] statsmodels/formula/tests/test_formula.py::TestFormulaDict::test_endog_names PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::test_median_cutoff PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::test_single_run PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::test_numeric_cutoff PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::test_mean_cutoff PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::test_invalid_string_cutoff_raises PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::test_runstest_2samp_requires_y_or_groups PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::test_runstest_2samp_with_groups_argument PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::test_runstest_2samp_with_ties_integer_input_raises XFAILps == gruni[0]] += eps` where eps is a float. If the input arrays are integer-dtyped (a reasonable thing to pass for count/discrete data, which is exactly when ties are most likely), `xx` is also integer-dtyped and the in-place += with a float eps raises UFuncTypeError under numpy's same_kind casting rule. The same call with float-dtyped input (otherwise identical) works fine, see test_runstest_2samp_with_ties.) [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::test_runstest_2samp_wrong_number_of_groups_raises PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::test_runstest_2samp_no_ties PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::test_runstest_2samp_with_ties PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::test_runsprob_pdf_matches_reference_values PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::test_mcnemar_from_table_wrong_shape_raises PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::test_symmetry_bowker_asymmetric_table_matches_manual_formula PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::test_symmetry_bowker_requires_square_table PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::test_cochrans_q_matches_current_implementation PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::test_symmetry_bowker_symmetric_table_gives_zero_statistic PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::TestRunsClass::test_all_same_value_is_single_run PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::TestRunsClass::test_runs_test_matches_runstest_1samp PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::TestRunsClass::test_basic_attributes PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::TestMedianTestKsample::test_pvalue_matches_scipy XFAIL.ravel(), expected.ravel(), ddof=1) call. For a (2, ngroups) contingency table, the correct degrees of freedom is (2-1)*(ngroups-1) = ngroups-1, which requires ddof=ngroups (since chisquare's dof = ncells-1-ddof and ncells=2*ngroups here), not the hardcoded 1. The reported chi-square statistic matches scipy.stats.median_test exactly (see test_statistic_matches_scipy), but with the wrong ddof the p-value does not -- e.g., for this dataset the sandbox version reports p=0.300 where the correct value (matching scipy.stats.median_test) is p=0.087.) [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::TestMedianTestKsample::test_pvalue_matches_scipy_with_correct_ddof PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::TestMedianTestKsample::test_statistic_matches_scipy PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::TestTotalRunsProb::test_cdf_matches_cumulative_pdf PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::TestTotalRunsProb::test_pdf_sums_to_one_over_full_support PASSED [ 97%] statsmodels/sandbox/stats/tests/test_runs.py::TestTotalRunsProb::test_cdf_at_max_is_one PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::test__ros_group_rank PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::test_plotting_positions PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::test__impute PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::test__norm_plot_pos PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::test__do_ros PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_ROS_OnlyDL_GT_MaxUncen::test_ros_df PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_ROS_OnlyDL_GT_MaxUncen::test_ros_arrays PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_ROS_OnlyDL_GT_MaxUncen::test_cohn PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_NoOp_ZeroND::test_ros_arrays PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_NoOp_ZeroND::test_ros_df PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_NoOp_ZeroND::test_cohn PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_cohn_numbers::test_baseline PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_cohn_numbers::test_no_NDs PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselAppendixB::test_ros_df PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselAppendixB::test_ros_arrays PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselAppendixB::test_cohn PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test__ros_plot_pos::test_censored_2 PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test__ros_plot_pos::test_uncensored_1 PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test__ros_plot_pos::test_censored_1 PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test__ros_plot_pos::test_uncensored_2 PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_ROS_RNADAdata::test_cohn PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_ROS_RNADAdata::test_ros_arrays PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_ROS_RNADAdata::test_ros_df PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_ROS_OneND::test_ros_df PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_ROS_OneND::test_ros_arrays PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_ROS_OneND::test_cohn PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselArsenic::test_cohn PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselArsenic::test_ros_arrays PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselArsenic::test_ros_df PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test__ros_sort::test_censored_greater_than_max PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test__ros_sort::test_baseline PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test__detection_limit_index::test_populated PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test__detection_limit_index::test_out_of_bounds PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test__detection_limit_index::test_empty PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_HalfDLs_80pctNDs::test_cohn PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_HalfDLs_80pctNDs::test_ros_arrays PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_HalfDLs_80pctNDs::test_ros_df PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_ROS_MaxCen_GT_MaxUncen::test_ros_df PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_ROS_MaxCen_GT_MaxUncen::test_ros_arrays PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_ROS_MaxCen_GT_MaxUncen::test_cohn PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_HaflDLs_OneUncensored::test_cohn PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_HaflDLs_OneUncensored::test_ros_arrays PASSED [ 97%] statsmodels/imputation/tests/test_ros.py::Test_HaflDLs_OneUncensored::test_ros_df PASSED [ 97%] statsmodels/base/tests/test_distributed_estimation.py::test_fit_invalid_parallel_method_raises PASSED [ 97%] statsmodels/base/tests/test_distributed_estimation.py::test_est_regularized_naive PASSED [ 97%] statsmodels/base/tests/test_distributed_estimation.py::test_join_debiased PASSED [ 97%] statsmodels/base/tests/test_distributed_estimation.py::test_non_zero_params PASSED [ 97%] statsmodels/base/tests/test_distributed_estimation.py::test_calc_wdesign_mat PASSED [ 97%] statsmodels/base/tests/test_distributed_estimation.py::test_est_regularized_debiased PASSED [ 97%] statsmodels/base/tests/test_distributed_estimation.py::test_fit_joblib PASSED [ 97%] statsmodels/base/tests/test_distributed_estimation.py::test_debiased_v_average PASSED [ 97%] statsmodels/base/tests/test_distributed_estimation.py::test_larger_p PASSED [ 97%] statsmodels/base/tests/test_distributed_estimation.py::test_calc_grad PASSED [ 97%] statsmodels/base/tests/test_distributed_estimation.py::test_fit_joblib_single_partition_matches_sequential PASSED [ 97%] statsmodels/base/tests/test_distributed_estimation.py::test_repeat_partition PASSED [ 97%] statsmodels/base/tests/test_distributed_estimation.py::test_join_naive PASSED [ 97%] statsmodels/base/tests/test_distributed_estimation.py::test_fit_sequential PASSED [ 97%] statsmodels/base/tests/test_distributed_estimation.py::test_single_partition PASSED [ 97%] statsmodels/base/tests/test_distributed_estimation.py::test_distributed_results_predict PASSED [ 97%] statsmodels/base/tests/test_distributed_estimation.py::test_est_unregularized_naive PASSED [ 97%] statsmodels/tsa/statespace/tests/test_cfa_tvpvar.py::test_tvpvar PASSED [ 97%] statsmodels/tsa/statespace/tests/test_simulate.py::test_time_varying_obs_cov PASSED [ 97%] statsmodels/tsa/statespace/tests/test_simulate.py::test_arma_lfilter PASSED [ 97%] statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_time_varying_trend_shocks PASSED [ 97%] statsmodels/tsa/statespace/tests/test_simulate.py::test_dynamic_factor_end_time_varying_exog_noshocks PASSED [ 97%] statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_time_varying_exog_noshocks PASSED [ 97%] statsmodels/tsa/statespace/tests/test_simulate.py::test_unobserved_components_end_time_varying_exog_noshocks PASSED [ 97%] statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_time_varying_exog_shocks PASSED [ 97%] statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_simple_differencing_time_varying_trend_noshocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_varmax_end_time_varying_exog_noshocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_structural PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_varmax_end_time_varying_trend_shocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_varmax PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_time_varying_selection PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_pandas_multivariate_dateindex_repetitions PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_varmax_end_time_invariant_noshocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_unobserved_components_end_time_invariant_shocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_time_varying_trend_noshocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_pandas_univariate_rangeindex_repetitions PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_unobserved_components_end_time_varying_exog_shocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_dynamic_factor_end_time_varying_exog_shocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_pandas_univariate_dateindex PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_time_varying PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_dynamic_factor_end_time_invariant_noshocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_sequential_simulate PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_arma_direct PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_pandas_univariate_dateindex_repetitions PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_pandas_multivariate_rangeindex_repetitions PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_known_initialization PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_simple_differencing_time_varying_exog_noshocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_simple_differencing_end_time_invariant_noshocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_pandas_multivariate_dateindex PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_time_invariant_shocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_simple_differencing_end_time_invariant_shocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_simple_differencing_time_varying_trend_shocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_time_varying_state_cov PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_unobserved_components_end_time_invariant_noshocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_dynamic_factor_end_time_invariant_shocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_varmax_end_time_invariant_shocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_pandas_univariate_rangeindex PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_pandas_anchor PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_varmax_end_time_varying_trend_noshocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_end_time_invariant_noshocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_pandas_multivariate_rangeindex PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_dynamic_factor PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_simple_differencing_time_varying_exog_shocks PASSED [ 98%] statsmodels/tsa/statespace/tests/test_simulate.py::test_varmax_end_time_varying_exog_shocks PASSED [ 98%] statsmodels/tsa/vector_ar/tests/test_svar.py::test_invalid_svar_type_raises PASSED [ 98%] statsmodels/tsa/vector_ar/tests/test_svar.py::test_oneparam PASSED [ 98%] statsmodels/tsa/vector_ar/tests/test_svar.py::test_summary_no_user_exog PASSED [ 98%] statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_sirf_errband_mc_replications_differ[generator] PASSED [ 98%] statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_B PASSED [ 98%] statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_sirf_errband_mc_replications_differ[int] PASSED [ 98%] statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_sirf_errband_mc_reproducible_with_int_seed PASSED [ 98%] statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_llf_ic PASSED [ 98%] statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_irf PASSED [ 98%] statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_basic PASSED [ 98%] statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_A PASSED [ 98%] statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_irf_var_order_not_implemented PASSED [ 98%] statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_sirf_errband_mc_replications_differ[randomstate] PASSED [ 98%] statsmodels/stats/tests/test_correlation.py::test_kernel_covariance PASSED [ 98%] statsmodels/distributions/tests/test_edgeworth.py::TestExpandedNormal::test_normal PASSED [ 98%] statsmodels/distributions/tests/test_edgeworth.py::TestExpandedNormal::test_coefficients PASSED [ 98%] statsmodels/distributions/tests/test_edgeworth.py::TestExpandedNormal::test_too_few_cumulants PASSED [ 98%] statsmodels/distributions/tests/test_edgeworth.py::TestExpandedNormal::test_chi2_moments PASSED [ 98%] statsmodels/distributions/tests/test_edgeworth.py::TestExpandedNormal::test_pdf_has_roots PASSED [ 98%] statsmodels/distributions/tests/test_edgeworth.py::TestExpandedNormal::test_pdf_no_roots PASSED [ 98%] statsmodels/distributions/tests/test_edgeworth.py::TestCumulants::test_chi2 PASSED [ 98%] statsmodels/distributions/tests/test_edgeworth.py::TestCumulants::test_norm PASSED [ 98%] statsmodels/distributions/tests/test_edgeworth.py::TestCumulants::test_badvalues PASSED [ 98%] statsmodels/distributions/tests/test_edgeworth.py::TestFaaDiBruno::test_neg_arg PASSED [ 98%] statsmodels/distributions/tests/test_edgeworth.py::TestFaaDiBruno::test_small_vals PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::test_fitted_residuals PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::test_collinear_matrix PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::test_alpha_summary PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::test_ols_criteria_are_nan_not_ols_values PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::test_remove_data PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::test_summary_after_remove_data PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::test_use_t_summary PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::test_fit_invalid_options_raise PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::test_prsquared_improves_with_informative_regressors PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::test_zero_resid PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::test_scale_is_a_property PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::test_nontrivial_singular_matrix PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_tvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_df_resid PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_bse PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_conf_int PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_bandwidth PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_df_model PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_prsquared PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_nobs PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_params PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_pvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_sparsity PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_bse PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_nobs PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_tvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_sparsity PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_prsquared PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_params PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_bandwidth PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_pvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_df_model PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_df_resid PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_conf_int PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_df_resid PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_prsquared PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_conf_int PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_params PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_pvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_df_model PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_nobs PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_bse PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_sparsity PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_tvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_bandwidth PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_bandwidth PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_nobs PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_pvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_sparsity PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_params PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_df_resid PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_conf_int PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_df_model PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_bse PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_tvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_prsquared PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_df_resid PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_conf_int PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_bse PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_df_model PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_params PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_nobs PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_tvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_bandwidth PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_pvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_prsquared PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_sparsity PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_nobs PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_tvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_sparsity PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_prsquared PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_bandwidth PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_bse PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_params PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_pvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_df_resid PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_conf_int PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_df_model PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_df_resid PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_conf_int PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_df_model PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_nobs PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_bandwidth PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_tvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_bse PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_params PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_prsquared PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_pvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_sparsity PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_df_model PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_nobs PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_bandwidth PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_params PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_pvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_conf_int PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_df_resid PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_bse PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_sparsity PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_prsquared PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_tvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_sparsity PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_bandwidth PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_pvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_tvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_nobs PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_bse PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_prsquared PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_df_model PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_df_resid PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_params PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_conf_int PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_sparsity PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_params PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_tvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_bse PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_bandwidth PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_df_model PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_conf_int PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_prsquared PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_df_resid PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_pvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_nobs PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_nobs PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_bse PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_sparsity PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_bandwidth PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_params PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_pvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_tvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_conf_int PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_df_resid PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_df_model PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_prsquared PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_prsquared PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_tvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_bse PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_df_resid PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_conf_int PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_nobs PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_df_model PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_pvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_params PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_sparsity PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_bandwidth PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_pvalues PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_sparsity PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_nobs PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_params PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_bandwidth PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_prsquared PASSED [ 98%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_df_model PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_bse PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_conf_int PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_tvalues PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_df_resid PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_bse PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_nobs PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_sparsity PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_pvalues PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_prsquared PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_conf_int PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_df_resid PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_df_model PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_bandwidth PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_params PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_tvalues PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_df_model PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_df_resid PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_conf_int PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_pvalues PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_prsquared PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_bse PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_nobs PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_sparsity PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_bandwidth PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_tvalues PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_params PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_bse PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_bandwidth PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_tvalues PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_sparsity PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_params PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_prsquared PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_conf_int PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_nobs PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_df_resid PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_pvalues PASSED [ 99%] statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_df_model PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987Double::test_filtered_state PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987Double::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::test_filter PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::test_init_matrices_time_varying PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::test_representation PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::test_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::test_no_endog PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::test_initialize_components_default_a_is_zero PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::test_missing PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::test_slice_notation PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::test_cython PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::test_initialize_components_r0_q0_equivalent_to_pstar PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::test_simulate PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::test_impulse_responses PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::test_bind PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::test_initialize_components_pstar_and_r0q0_raises PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::test_standardized_forecasts_error PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::test_initialize_components PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::test_init_matrices_time_invariant PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::test_initialization PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987Single::test_filtered_state SKIPPED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987Single::test_loglike SKIPPED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ForecastDoubleComplex::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ForecastDoubleComplex::test_filtered_state PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987Conserve::test_filtered_state PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987Conserve::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ForecastConserve::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ForecastConserve::test_filtered_state PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987SingleComplex::test_filtered_state SKIPPED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987SingleComplex::test_loglike SKIPPED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ConserveAll::test_filtered_state PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ConserveAll::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989::test_kalman_gain PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989::test_filtered_state PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989ForecastConserve::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989ForecastConserve::test_filtered_state PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ForecastDouble::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ForecastDouble::test_filtered_state PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987DoubleComplex::test_filtered_state PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987DoubleComplex::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989ForecastDouble::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989ForecastDouble::test_filtered_state PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989ConserveAll::test_filtered_state PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989ConserveAll::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989ForecastDoubleComplex::test_filtered_state PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989ForecastDoubleComplex::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989Conserve::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989Conserve::test_filtered_state PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989PartialMissing::test_filtered_state PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989PartialMissing::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989PartialMissing::test_predicted_state PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_forecast_exog PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_start_params_nans PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_summary_after_remove_data PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_apply_results PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_extend_results PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_recreate_model PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_misspecification PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_predict_custom_index PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_append_results PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_miscellaneous PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_dynamic_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_plot_coefficients_of_determination PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_no_enforce PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_mle PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_params PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_bse_approx PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_results PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_aic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_bic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_params PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_bse_approx PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_dynamic_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_mle PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_plot_coefficients_of_determination PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_no_enforce PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_results PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_aic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_bic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_plot_coefficients_of_determination PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_params PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_bse_approx PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_mle PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_dynamic_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_no_enforce PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_bic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_aic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_results PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_bse_approx PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_results PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_aic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_bic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_plot_coefficients_of_determination PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_dynamic_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_no_enforce PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_mle PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_params PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_mle PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_bse_approx PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_params PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_dynamic_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_plot_coefficients_of_determination PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_bic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_aic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_no_enforce PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_results PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_bse PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_no_enforce PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_dynamic_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_plot_coefficients_of_determination PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_params PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_bic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_aic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_summary PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_mle PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_results PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_aic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_bic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_dynamic_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_bse_approx PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_results PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_params PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_mle SKIPPEDeve the maximum.) [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_plot_coefficients_of_determination PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_summary PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_no_enforce PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_bse_approx PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_dynamic_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_mle PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_params PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_no_enforce PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_plot_coefficients_of_determination PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_aic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_bic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_results PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_no_enforce PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_aic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_bic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_plot_coefficients_of_determination PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_results PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_bse_approx PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_mle PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_params PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_dynamic_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_dynamic_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_loglike PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_predict PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_results PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_plot_coefficients_of_determination PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_mle PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_summary PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_no_enforce PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_params PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_aic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_bic PASSED [ 99%] statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_bse_approx PASSED [100%] =================================== FAILURES =================================== ________________ test_calendar_seasonality[False-freq_period11] ________________ time_index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') forecast_index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2001-07-11', '2001-07-12', '2001-07-13'], dtype='datetime64[ns]', length=400, freq='B') freq_period = ('Y', 'Q') @pytest.mark.parametrize("freq_period", cs_params) def test_calendar_seasonality(time_index, forecast_index, freq_period): freq, period = freq_period cs = CalendarSeasonality(period, freq) > cs.in_sample(time_index) statsmodels/tsa/tests/test_deterministic.py:166: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ statsmodels/tsa/deterministic.py:851: in in_sample terms = self._get_terms(index) ^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = Seasonal(freq=QE) at 0x7f90b8ce6a50 index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') def _get_terms(self, index: pd.DatetimeIndex | pd.PeriodIndex) -> np.ndarray: if self._period == "D": locs = self._daily_to_loc(index) elif self._period == "W": locs = self._weekly_to_loc(index) elif self._period in ("Q", "QE"): locs = self._quarterly_to_loc(index) else: # "A", "Y": locs = self._annual_to_loc(index) > full_cycle = self._supported[self._period][self._freq_str] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E KeyError: 'QE' statsmodels/tsa/deterministic.py:833: KeyError ________________ test_calendar_seasonality[False-freq_period7] _________________ time_index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') forecast_index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2001-07-11', '2001-07-12', '2001-07-13'], dtype='datetime64[ns]', length=400, freq='B') freq_period = ('Q', 'M') @pytest.mark.parametrize("freq_period", cs_params) def test_calendar_seasonality(time_index, forecast_index, freq_period): freq, period = freq_period cs = CalendarSeasonality(period, freq) > cs.in_sample(time_index) statsmodels/tsa/tests/test_deterministic.py:166: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ statsmodels/tsa/deterministic.py:851: in in_sample terms = self._get_terms(index) ^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = Seasonal(freq=ME) at 0x7f90b5a31550 index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') def _get_terms(self, index: pd.DatetimeIndex | pd.PeriodIndex) -> np.ndarray: if self._period == "D": locs = self._daily_to_loc(index) elif self._period == "W": locs = self._weekly_to_loc(index) elif self._period in ("Q", "QE"): locs = self._quarterly_to_loc(index) else: # "A", "Y": locs = self._annual_to_loc(index) > full_cycle = self._supported[self._period][self._freq_str] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E KeyError: 'ME' statsmodels/tsa/deterministic.py:833: KeyError ________________ test_calendar_seasonality[False-freq_period12] ________________ time_index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') forecast_index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2001-07-11', '2001-07-12', '2001-07-13'], dtype='datetime64[ns]', length=400, freq='B') freq_period = ('Y', 'M') @pytest.mark.parametrize("freq_period", cs_params) def test_calendar_seasonality(time_index, forecast_index, freq_period): freq, period = freq_period cs = CalendarSeasonality(period, freq) > cs.in_sample(time_index) statsmodels/tsa/tests/test_deterministic.py:166: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ statsmodels/tsa/deterministic.py:851: in in_sample terms = self._get_terms(index) ^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = Seasonal(freq=ME) at 0x7f90b5838e10 index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') def _get_terms(self, index: pd.DatetimeIndex | pd.PeriodIndex) -> np.ndarray: if self._period == "D": locs = self._daily_to_loc(index) elif self._period == "W": locs = self._weekly_to_loc(index) elif self._period in ("Q", "QE"): locs = self._quarterly_to_loc(index) else: # "A", "Y": locs = self._annual_to_loc(index) > full_cycle = self._supported[self._period][self._freq_str] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E KeyError: 'ME' statsmodels/tsa/deterministic.py:833: KeyError ________________ test_calendar_seasonality[False-freq_period9] _________________ time_index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') forecast_index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2001-07-11', '2001-07-12', '2001-07-13'], dtype='datetime64[ns]', length=400, freq='B') freq_period = ('A', 'M') @pytest.mark.parametrize("freq_period", cs_params) def test_calendar_seasonality(time_index, forecast_index, freq_period): freq, period = freq_period cs = CalendarSeasonality(period, freq) > cs.in_sample(time_index) statsmodels/tsa/tests/test_deterministic.py:166: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ statsmodels/tsa/deterministic.py:851: in in_sample terms = self._get_terms(index) ^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = Seasonal(freq=ME) at 0x7f90b5993890 index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') def _get_terms(self, index: pd.DatetimeIndex | pd.PeriodIndex) -> np.ndarray: if self._period == "D": locs = self._daily_to_loc(index) elif self._period == "W": locs = self._weekly_to_loc(index) elif self._period in ("Q", "QE"): locs = self._quarterly_to_loc(index) else: # "A", "Y": locs = self._annual_to_loc(index) > full_cycle = self._supported[self._period][self._freq_str] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E KeyError: 'ME' statsmodels/tsa/deterministic.py:833: KeyError _________________ test_calendar_seasonality[None-freq_period9] _________________ time_index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') forecast_index = None, freq_period = ('A', 'M') @pytest.mark.parametrize("freq_period", cs_params) def test_calendar_seasonality(time_index, forecast_index, freq_period): freq, period = freq_period cs = CalendarSeasonality(period, freq) > cs.in_sample(time_index) statsmodels/tsa/tests/test_deterministic.py:166: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ statsmodels/tsa/deterministic.py:851: in in_sample terms = self._get_terms(index) ^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = Seasonal(freq=ME) at 0x7f90b5b234d0 index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') def _get_terms(self, index: pd.DatetimeIndex | pd.PeriodIndex) -> np.ndarray: if self._period == "D": locs = self._daily_to_loc(index) elif self._period == "W": locs = self._weekly_to_loc(index) elif self._period in ("Q", "QE"): locs = self._quarterly_to_loc(index) else: # "A", "Y": locs = self._annual_to_loc(index) > full_cycle = self._supported[self._period][self._freq_str] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E KeyError: 'ME' statsmodels/tsa/deterministic.py:833: KeyError ________________ test_calendar_seasonality[None-freq_period11] _________________ time_index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') forecast_index = None, freq_period = ('Y', 'Q') @pytest.mark.parametrize("freq_period", cs_params) def test_calendar_seasonality(time_index, forecast_index, freq_period): freq, period = freq_period cs = CalendarSeasonality(period, freq) > cs.in_sample(time_index) statsmodels/tsa/tests/test_deterministic.py:166: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ statsmodels/tsa/deterministic.py:851: in in_sample terms = self._get_terms(index) ^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = Seasonal(freq=QE) at 0x7f90b5804fb0 index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') def _get_terms(self, index: pd.DatetimeIndex | pd.PeriodIndex) -> np.ndarray: if self._period == "D": locs = self._daily_to_loc(index) elif self._period == "W": locs = self._weekly_to_loc(index) elif self._period in ("Q", "QE"): locs = self._quarterly_to_loc(index) else: # "A", "Y": locs = self._annual_to_loc(index) > full_cycle = self._supported[self._period][self._freq_str] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E KeyError: 'QE' statsmodels/tsa/deterministic.py:833: KeyError _________________ test_calendar_seasonality[None-freq_period7] _________________ time_index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') forecast_index = None, freq_period = ('Q', 'M') @pytest.mark.parametrize("freq_period", cs_params) def test_calendar_seasonality(time_index, forecast_index, freq_period): freq, period = freq_period cs = CalendarSeasonality(period, freq) > cs.in_sample(time_index) statsmodels/tsa/tests/test_deterministic.py:166: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ statsmodels/tsa/deterministic.py:851: in in_sample terms = self._get_terms(index) ^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = Seasonal(freq=ME) at 0x7f90b5807a10 index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') def _get_terms(self, index: pd.DatetimeIndex | pd.PeriodIndex) -> np.ndarray: if self._period == "D": locs = self._daily_to_loc(index) elif self._period == "W": locs = self._weekly_to_loc(index) elif self._period in ("Q", "QE"): locs = self._quarterly_to_loc(index) else: # "A", "Y": locs = self._annual_to_loc(index) > full_cycle = self._supported[self._period][self._freq_str] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E KeyError: 'ME' statsmodels/tsa/deterministic.py:833: KeyError ________________ test_calendar_seasonality[None-freq_period12] _________________ time_index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') forecast_index = None, freq_period = ('Y', 'M') @pytest.mark.parametrize("freq_period", cs_params) def test_calendar_seasonality(time_index, forecast_index, freq_period): freq, period = freq_period cs = CalendarSeasonality(period, freq) > cs.in_sample(time_index) statsmodels/tsa/tests/test_deterministic.py:166: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ statsmodels/tsa/deterministic.py:851: in in_sample terms = self._get_terms(index) ^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = Seasonal(freq=ME) at 0x7f90b58078f0 index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') def _get_terms(self, index: pd.DatetimeIndex | pd.PeriodIndex) -> np.ndarray: if self._period == "D": locs = self._daily_to_loc(index) elif self._period == "W": locs = self._weekly_to_loc(index) elif self._period in ("Q", "QE"): locs = self._quarterly_to_loc(index) else: # "A", "Y": locs = self._annual_to_loc(index) > full_cycle = self._supported[self._period][self._freq_str] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E KeyError: 'ME' statsmodels/tsa/deterministic.py:833: KeyError _________________ test_calendar_seasonality[list-freq_period7] _________________ time_index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') forecast_index = [Timestamp('2000-01-03 00:00:00'), Timestamp('2000-01-04 00:00:00'), Timestamp('2000-01-05 00:00:00'), Timestamp('2000-01-06 00:00:00'), Timestamp('2000-01-07 00:00:00'), Timestamp('2000-01-10 00:00:00'), ...] freq_period = ('Q', 'M') @pytest.mark.parametrize("freq_period", cs_params) def test_calendar_seasonality(time_index, forecast_index, freq_period): freq, period = freq_period cs = CalendarSeasonality(period, freq) > cs.in_sample(time_index) statsmodels/tsa/tests/test_deterministic.py:166: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ statsmodels/tsa/deterministic.py:851: in in_sample terms = self._get_terms(index) ^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = Seasonal(freq=ME) at 0x7f90b5807590 index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') def _get_terms(self, index: pd.DatetimeIndex | pd.PeriodIndex) -> np.ndarray: if self._period == "D": locs = self._daily_to_loc(index) elif self._period == "W": locs = self._weekly_to_loc(index) elif self._period in ("Q", "QE"): locs = self._quarterly_to_loc(index) else: # "A", "Y": locs = self._annual_to_loc(index) > full_cycle = self._supported[self._period][self._freq_str] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E KeyError: 'ME' statsmodels/tsa/deterministic.py:833: KeyError ________________ test_calendar_seasonality[list-freq_period11] _________________ time_index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') forecast_index = [Timestamp('2000-01-03 00:00:00'), Timestamp('2000-01-04 00:00:00'), Timestamp('2000-01-05 00:00:00'), Timestamp('2000-01-06 00:00:00'), Timestamp('2000-01-07 00:00:00'), Timestamp('2000-01-10 00:00:00'), ...] freq_period = ('Y', 'Q') @pytest.mark.parametrize("freq_period", cs_params) def test_calendar_seasonality(time_index, forecast_index, freq_period): freq, period = freq_period cs = CalendarSeasonality(period, freq) > cs.in_sample(time_index) statsmodels/tsa/tests/test_deterministic.py:166: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ statsmodels/tsa/deterministic.py:851: in in_sample terms = self._get_terms(index) ^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = Seasonal(freq=QE) at 0x7f90b57d2db0 index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') def _get_terms(self, index: pd.DatetimeIndex | pd.PeriodIndex) -> np.ndarray: if self._period == "D": locs = self._daily_to_loc(index) elif self._period == "W": locs = self._weekly_to_loc(index) elif self._period in ("Q", "QE"): locs = self._quarterly_to_loc(index) else: # "A", "Y": locs = self._annual_to_loc(index) > full_cycle = self._supported[self._period][self._freq_str] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E KeyError: 'QE' statsmodels/tsa/deterministic.py:833: KeyError ________________ test_calendar_seasonality[list-freq_period12] _________________ time_index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') forecast_index = [Timestamp('2000-01-03 00:00:00'), Timestamp('2000-01-04 00:00:00'), Timestamp('2000-01-05 00:00:00'), Timestamp('2000-01-06 00:00:00'), Timestamp('2000-01-07 00:00:00'), Timestamp('2000-01-10 00:00:00'), ...] freq_period = ('Y', 'M') @pytest.mark.parametrize("freq_period", cs_params) def test_calendar_seasonality(time_index, forecast_index, freq_period): freq, period = freq_period cs = CalendarSeasonality(period, freq) > cs.in_sample(time_index) statsmodels/tsa/tests/test_deterministic.py:166: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ statsmodels/tsa/deterministic.py:851: in in_sample terms = self._get_terms(index) ^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = Seasonal(freq=ME) at 0x7f90b57d0950 index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') def _get_terms(self, index: pd.DatetimeIndex | pd.PeriodIndex) -> np.ndarray: if self._period == "D": locs = self._daily_to_loc(index) elif self._period == "W": locs = self._weekly_to_loc(index) elif self._period in ("Q", "QE"): locs = self._quarterly_to_loc(index) else: # "A", "Y": locs = self._annual_to_loc(index) > full_cycle = self._supported[self._period][self._freq_str] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E KeyError: 'ME' statsmodels/tsa/deterministic.py:833: KeyError _________________ test_calendar_seasonality[list-freq_period9] _________________ time_index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') forecast_index = [Timestamp('2000-01-03 00:00:00'), Timestamp('2000-01-04 00:00:00'), Timestamp('2000-01-05 00:00:00'), Timestamp('2000-01-06 00:00:00'), Timestamp('2000-01-07 00:00:00'), Timestamp('2000-01-10 00:00:00'), ...] freq_period = ('A', 'M') @pytest.mark.parametrize("freq_period", cs_params) def test_calendar_seasonality(time_index, forecast_index, freq_period): freq, period = freq_period cs = CalendarSeasonality(period, freq) > cs.in_sample(time_index) statsmodels/tsa/tests/test_deterministic.py:166: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ statsmodels/tsa/deterministic.py:851: in in_sample terms = self._get_terms(index) ^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = Seasonal(freq=ME) at 0x7f90b57d0110 index = DatetimeIndex(['2000-01-03', '2000-01-04', '2000-01-05', '2000-01-06', '2000-01-07', '2000-01-10', '200..., '2003-03-10', '2003-03-11', '2003-03-12'], dtype='datetime64[ns]', length=833, freq='B') def _get_terms(self, index: pd.DatetimeIndex | pd.PeriodIndex) -> np.ndarray: if self._period == "D": locs = self._daily_to_loc(index) elif self._period == "W": locs = self._weekly_to_loc(index) elif self._period in ("Q", "QE"): locs = self._quarterly_to_loc(index) else: # "A", "Y": locs = self._annual_to_loc(index) > full_cycle = self._supported[self._period][self._freq_str] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E KeyError: 'ME' statsmodels/tsa/deterministic.py:833: KeyError _______________________ test_calendar_seasonal_period_a ________________________ def test_calendar_seasonal_period_a(): period = "Y" index = pd.date_range("2000-01-01", freq=MONTH_END, periods=600) cs = CalendarSeasonality(MONTH_END, period=period) > terms = cs.in_sample(index) ^^^^^^^^^^^^^^^^^^^ statsmodels/tsa/tests/test_deterministic.py:460: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ statsmodels/tsa/deterministic.py:851: in in_sample terms = self._get_terms(index) ^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = Seasonal(freq=ME) at 0x7f90b57d3290 index = DatetimeIndex(['2000-01-31', '2000-02-29', '2000-03-31', '2000-04-30', '2000-05-31', '2000-06-30', '200... '2049-10-31', '2049-11-30', '2049-12-31'], dtype='datetime64[ns]', length=600, freq='ME') def _get_terms(self, index: pd.DatetimeIndex | pd.PeriodIndex) -> np.ndarray: if self._period == "D": locs = self._daily_to_loc(index) elif self._period == "W": locs = self._weekly_to_loc(index) elif self._period in ("Q", "QE"): locs = self._quarterly_to_loc(index) else: # "A", "Y": locs = self._annual_to_loc(index) > full_cycle = self._supported[self._period][self._freq_str] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E KeyError: 'ME' statsmodels/tsa/deterministic.py:833: KeyError _______________________ test_calendar_seasonal_period_q ________________________ def test_calendar_seasonal_period_q(): period = "Q" index = pd.date_range("2000-01-01", freq=MONTH_END, periods=600) cs = CalendarSeasonality(MONTH_END, period=period) > terms = cs.in_sample(index) ^^^^^^^^^^^^^^^^^^^ statsmodels/tsa/tests/test_deterministic.py:450: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ statsmodels/tsa/deterministic.py:851: in in_sample terms = self._get_terms(index) ^^^^^^^^^^^^^^^^^^^^^^ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = Seasonal(freq=ME) at 0x7f90b57d1550 index = DatetimeIndex(['2000-01-31', '2000-02-29', '2000-03-31', '2000-04-30', '2000-05-31', '2000-06-30', '200... '2049-10-31', '2049-11-30', '2049-12-31'], dtype='datetime64[ns]', length=600, freq='ME') def _get_terms(self, index: pd.DatetimeIndex | pd.PeriodIndex) -> np.ndarray: if self._period == "D": locs = self._daily_to_loc(index) elif self._period == "W": locs = self._weekly_to_loc(index) elif self._period in ("Q", "QE"): locs = self._quarterly_to_loc(index) else: # "A", "Y": locs = self._annual_to_loc(index) > full_cycle = self._supported[self._period][self._freq_str] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ E KeyError: 'ME' statsmodels/tsa/deterministic.py:833: KeyError =============================== warnings summary =============================== ../../../../../../../usr/lib/python3.14/site-packages/_pytest/config/__init__.py:2234 /usr/lib/python3.14/site-packages/_pytest/config/__init__.py:2234: PytestConfigWarning: Failed to import filter module 'statsmodels': error:The test statistic is outside:statsmodels.tools.sm_exceptions.InterpolationWarning: warnings.warn( ../../../../../../../usr/lib/python3.14/site-packages/_pytest/config/__init__.py:2234 /usr/lib/python3.14/site-packages/_pytest/config/__init__.py:2234: PytestConfigWarning: Failed to import filter module 'statsmodels': error:The design matrix is:statsmodels.tools.sm_exceptions.SingularMatrixWarning: warnings.warn( statsmodels/base/tests/test_distributed_estimation.py:357 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/tests/test_distributed_estimation.py:357: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses joblib") statsmodels/base/tests/test_generic_methods.py:110 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/tests/test_generic_methods.py:110: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Model is mutable including using del") statsmodels/base/tests/test_generic_methods.py:522 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/tests/test_generic_methods.py:522: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Modifies the model object in test") statsmodels/base/tests/test_generic_methods.py:550 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/tests/test_generic_methods.py:550: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Modifies the model object in test") statsmodels/base/tests/test_shrink_pickle.py:68 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/tests/test_shrink_pickle.py:68: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe statsmodels/base/tests/test_shrink_pickle.py:112 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/tests/test_shrink_pickle.py:112: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe statsmodels/base/tests/test_shrink_pickle.py:116 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/tests/test_shrink_pickle.py:116: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe statsmodels/datasets/tests/test_utils.py:41 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/datasets/tests/test_utils.py:41: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Disk access") statsmodels/discrete/tests/test_discrete.py:2714 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/tests/test_discrete.py:2714: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe( statsmodels/discrete/tests/test_discrete.py:2732 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/tests/test_discrete.py:2732: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe( statsmodels/discrete/tests/test_count_model.py:141 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/tests/test_count_model.py:141: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="count models are not threadsafe") statsmodels/discrete/tests/test_count_model.py:270 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/tests/test_count_model.py:270: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="count models are not threadsafe") statsmodels/discrete/tests/test_count_model.py:291 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/tests/test_count_model.py:291: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="count models are not threadsafe") statsmodels/discrete/tests/test_count_model.py:313 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/tests/test_count_model.py:313: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="count models are not threadsafe") statsmodels/discrete/tests/test_count_model.py:323 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/tests/test_count_model.py:323: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="count models are not threadsafe") statsmodels/discrete/tests/test_count_model.py:437 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/tests/test_count_model.py:437: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="count models are not threadsafe") statsmodels/discrete/tests/test_count_model.py:458 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/tests/test_count_model.py:458: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="count models are not threadsafe") statsmodels/discrete/tests/test_count_model.py:476 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/tests/test_count_model.py:476: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="count models are not threadsafe") statsmodels/discrete/tests/test_count_model.py:600 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/tests/test_count_model.py:600: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="count models are not threadsafe") statsmodels/discrete/tests/test_count_model.py:620 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/tests/test_count_model.py:620: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="count models are not threadsafe") statsmodels/discrete/tests/test_count_model.py:639 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/tests/test_count_model.py:639: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="count models are not threadsafe") statsmodels/discrete/tests/test_count_model.py:655 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/tests/test_count_model.py:655: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="count models are not threadsafe") statsmodels/discrete/tests/test_count_model.py:765 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/tests/test_count_model.py:765: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="count models are not threadsafe") statsmodels/discrete/tests/test_diagnostic.py:60 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/tests/test_diagnostic.py:60: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/discrete/tests/test_predict.py:150 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/tests/test_predict.py:150: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/discrete/tests/test_predict.py:355 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/tests/test_predict.py:355: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/distributions/copula/tests/test_copula.py:915 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/distributions/copula/tests/test_copula.py:915: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/distributions/copula/tests/test_copula.py:929 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/distributions/copula/tests/test_copula.py:929: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/distributions/copula/tests/test_copula.py:950 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/distributions/copula/tests/test_copula.py:950: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/duration/tests/test_survfunc.py:240 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/duration/tests/test_survfunc.py:240: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/emplike/tests/test_aft.py:55 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/emplike/tests/test_aft.py:55: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("Reuses the same emplikeAFT result object") statsmodels/emplike/tests/test_aft.py:61 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/emplike/tests/test_aft.py:61: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("Reuses the same emplikeAFT result object") statsmodels/emplike/tests/test_aft.py:67 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/emplike/tests/test_aft.py:67: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("Reuses the same emplikeAFT result object") statsmodels/emplike/tests/test_descriptive.py:47 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/emplike/tests/test_descriptive.py:47: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("calculation sets attributes and is not thread safe") statsmodels/emplike/tests/test_descriptive.py:52 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/emplike/tests/test_descriptive.py:52: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("calculation sets attributes and is not thread safe") statsmodels/emplike/tests/test_descriptive.py:58 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/emplike/tests/test_descriptive.py:58: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("calculation sets attributes and is not thread safe") statsmodels/emplike/tests/test_descriptive.py:76 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/emplike/tests/test_descriptive.py:76: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("calculation sets attributes and is not thread safe") statsmodels/emplike/tests/test_descriptive.py:81 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/emplike/tests/test_descriptive.py:81: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("calculation sets attributes and is not thread safe") statsmodels/emplike/tests/test_descriptive.py:97 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/emplike/tests/test_descriptive.py:97: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("calculation sets attributes and is not thread safe") statsmodels/emplike/tests/test_descriptive.py:103 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/emplike/tests/test_descriptive.py:103: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("calculation sets attributes and is not thread safe") statsmodels/emplike/tests/test_descriptive.py:108 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/emplike/tests/test_descriptive.py:108: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("calculation sets attributes and is not thread safe") statsmodels/emplike/tests/test_descriptive.py:119 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/emplike/tests/test_descriptive.py:119: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("calculation sets attributes and is not thread safe") statsmodels/emplike/tests/test_descriptive.py:127 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/emplike/tests/test_descriptive.py:127: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("calculation sets attributes and is not thread safe") statsmodels/emplike/tests/test_descriptive.py:132 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/emplike/tests/test_descriptive.py:132: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("calculation sets attributes and is not thread safe") statsmodels/emplike/tests/test_descriptive.py:142 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/emplike/tests/test_descriptive.py:142: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("calculation sets attributes and is not thread safe") statsmodels/emplike/tests/test_descriptive.py:172 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/emplike/tests/test_descriptive.py:172: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("calculation sets attributes and is not thread safe") statsmodels/emplike/tests/test_descriptive.py:209 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/emplike/tests/test_descriptive.py:209: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("calculation sets attributes and is not thread safe") statsmodels/emplike/tests/test_descriptive.py:226 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/emplike/tests/test_descriptive.py:226: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib and monkeypatches Axes.contour") statsmodels/emplike/tests/test_descriptive.py:280 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/emplike/tests/test_descriptive.py:280: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib and monkeypatches Axes.contour") statsmodels/formula/tests/test_formula.py:57 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/formula/tests/test_formula.py:57: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("fit method mutates the model object") statsmodels/formula/tests/test_manager.py:96 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/formula/tests/test_manager.py:96: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("changes global formula_engine variable") statsmodels/formula/tests/test_manager.py:116 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/formula/tests/test_manager.py:116: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="changes global ordering parameter") statsmodels/formula/tests/test_manager.py:131 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/formula/tests/test_manager.py:131: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="changes global ordering parameter") statsmodels/gam/tests/test_gam.py:779 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/gam/tests/test_gam.py:779: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/gam/tests/test_penalized.py:765 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/gam/tests/test_penalized.py:765: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("Some results classes are mutable that affect run") statsmodels/genmod/tests/test_gee.py:205 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/genmod/tests/test_gee.py:205: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/genmod/tests/test_gee.py:1085 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/genmod/tests/test_gee.py:1085: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/genmod/tests/test_gee.py:1829 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/genmod/tests/test_gee.py:1829: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("GEE.dit is not thread safe") statsmodels/genmod/tests/test_gee.py:2057 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/genmod/tests/test_gee.py:2057: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/genmod/tests/test_glm_weights.py:138 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/genmod/tests/test_glm_weights.py:138: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("GLM.fit is not thread safe") statsmodels/graphics/tests/test_agreement.py:8 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_agreement.py:8: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_agreement.py:44 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_agreement.py:44: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_boxplots.py:35 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_boxplots.py:35: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_boxplots.py:54 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_boxplots.py:54: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_boxplots.py:74 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_boxplots.py:74: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_boxplots.py:93 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_boxplots.py:93: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_boxplots.py:115 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_boxplots.py:115: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_boxplots.py:138 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_boxplots.py:138: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_boxplots.py:173 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_boxplots.py:173: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_correlation.py:8 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_correlation.py:8: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_correlation.py:21 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_correlation.py:21: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_dotplot.py:13 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_dotplot.py:13: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_dotplot.py:493 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_dotplot.py:493: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_factorplots.py:23 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_factorplots.py:23: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_factorplots.py:35 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_factorplots.py:35: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_factorplots.py:42 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_factorplots.py:42: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_factorplots.py:56 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_factorplots.py:56: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_factorplots.py:68 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_factorplots.py:68: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_factorplots.py:82 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_factorplots.py:82: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_functional.py:31 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_functional.py:31: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_functional.py:185 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_functional.py:185: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_functional.py:217 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_functional.py:217: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_functional.py:246 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_functional.py:246: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_functional.py:293 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_functional.py:293: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_functional.py:366 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_functional.py:366: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_functional.py:384 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_functional.py:384: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_functional.py:413 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_functional.py:413: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_functional.py:483 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_functional.py:483: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_functional.py:493 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_functional.py:493: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:38 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:38: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:43 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:43: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:48 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:48: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:53 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:53: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:60 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:60: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:70 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:70: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:80 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:80: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:92 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:92: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:102 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:102: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:112 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:112: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:124 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:124: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:135 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:135: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:146 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:146: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:157 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:157: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:169 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:169: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:181 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:181: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:278 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:278: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:285 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:285: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:324 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:324: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:329 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:329: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:341 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:341: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:349 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:349: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:367 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:367: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:437 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:437: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:447 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:447: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:457 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:457: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:468 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:468: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:479 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:479: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:490 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:490: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:495 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:495: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:521 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:521: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:527 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:527: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:536 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:536: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:542 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:542: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:548 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:548: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:554 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:554: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:561 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:561: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:566 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:566: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:571 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:571: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:578 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:578: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:583 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:583: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:588 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:588: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:595 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:595: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:600 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:600: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:605 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:605: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:612 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:612: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:617 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:617: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:642 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:642: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:647 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:647: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:652 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:652: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:657 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:657: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:662 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:662: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:696 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:696: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:727 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:727: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:754 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:754: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_gofplots.py:771 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:771: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_mosaicplot.py:32 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_mosaicplot.py:32: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_mosaicplot.py:82 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_mosaicplot.py:82: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_mosaicplot.py:116 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_mosaicplot.py:116: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_mosaicplot.py:167 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_mosaicplot.py:167: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_mosaicplot.py:219 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_mosaicplot.py:219: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_mosaicplot.py:251 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_mosaicplot.py:251: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_mosaicplot.py:538 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_mosaicplot.py:538: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_mosaicplot.py:552 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_mosaicplot.py:552: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_plot_grids.py:9 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_plot_grids.py:9: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_plot_grids.py:46 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_plot_grids.py:46: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_regressionplots.py:50 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_regressionplots.py:50: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_regressionplots.py:69 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_regressionplots.py:69: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_regressionplots.py:85 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_regressionplots.py:85: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_regressionplots.py:119 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_regressionplots.py:119: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_regressionplots.py:149 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_regressionplots.py:149: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_regressionplots.py:172 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_regressionplots.py:172: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_regressionplots.py:179 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_regressionplots.py:179: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_regressionplots.py:187 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_regressionplots.py:187: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_regressionplots.py:194 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_regressionplots.py:194: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_regressionplots.py:204 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_regressionplots.py:204: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_regressionplots.py:234 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_regressionplots.py:234: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_regressionplots.py:251 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_regressionplots.py:251: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_regressionplots.py:309 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_regressionplots.py:309: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_regressionplots.py:348 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_regressionplots.py:348: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_regressionplots.py:385 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_regressionplots.py:385: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_regressionplots.py:412 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_regressionplots.py:412: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_tsaplots.py:39 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:39: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_tsaplots.py:56 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:56: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_tsaplots.py:73 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:73: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_tsaplots.py:89 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:89: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_tsaplots.py:131 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:131: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_tsaplots.py:163 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:163: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_tsaplots.py:191 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:191: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_tsaplots.py:208 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:208: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_tsaplots.py:233 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:233: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_tsaplots.py:311 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:311: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_tsaplots.py:364 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:364: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_tsaplots.py:392 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:392: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_tsaplots.py:423 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:423: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_tsaplots.py:451 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:451: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_tsaplots.py:459 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:459: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_tsaplots.py:542 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:542: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_tsaplots.py:555 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:555: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_tsaplots.py:565 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:565: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/graphics/tests/test_tsaplots.py:586 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:586: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/imputation/tests/test_mice.py:286 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/imputation/tests/test_mice.py:286: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/imputation/tests/test_mice.py:304 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/imputation/tests/test_mice.py:304: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/imputation/tests/test_mice.py:318 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/imputation/tests/test_mice.py:318: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/imputation/tests/test_mice.py:332 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/imputation/tests/test_mice.py:332: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/multivariate/tests/test_pca.py:49 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/multivariate/tests/test_pca.py:49: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/multivariate/tests/test_pca.py:165 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/multivariate/tests/test_pca.py:165: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Issues and checks warnings") statsmodels/multivariate/tests/test_pca.py:185 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/multivariate/tests/test_pca.py:185: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/nonparametric/tests/test_kernel_regression.py:511 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/nonparametric/tests/test_kernel_regression.py:511: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("Intentionally relies on global random state") statsmodels/regression/tests/test_recursive_ls.py:286 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/regression/tests/test_recursive_ls.py:286: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="uses matplotlib") statsmodels/regression/tests/test_rolling.py:227 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/regression/tests/test_rolling.py:227: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="uses matplotlib") statsmodels/stats/tests/test_influence.py:107 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/stats/tests/test_influence.py:107: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/stats/tests/test_meta.py:460 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/stats/tests/test_meta.py:460: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/stats/tests/test_pairwise.py:434 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/stats/tests/test_pairwise.py:434: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/stats/tests/test_pairwise.py:731 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/stats/tests/test_pairwise.py:731: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/stats/tests/test_power.py:107 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/stats/tests/test_power.py:107: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/tools/tests/test_grouputils.py:156 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tools/tests/test_grouputils.py:156: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Modifies self.grouping in-place") statsmodels/tools/tests/test_parallel.py:11 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tools/tests/test_parallel.py:11: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="uses joblib which is not thread safe") statsmodels/compat/patsy.py:13: 22 warnings iolib/tests/test_summary2.py: 56 warnings regression/tests/test_lme.py: 20866 warnings stats/tests/test_anova_rm.py: 443 warnings regression/tests/test_processreg.py: 170 warnings iolib/tests/test_summary.py: 10 warnings stats/tests/test_mediation.py: 62876 warnings gam/tests/test_penalized.py: 243 warnings multivariate/tests/test_multivariate_ols.py: 761 warnings stats/tests/test_anova.py: 518 warnings genmod/tests/test_gee.py: 612 warnings stats/tests/test_diagnostic.py: 16 warnings discrete/tests/test_discrete.py: 63 warnings base/tests/test_predict.py: 186 warnings base/tests/test_shrink_pickle.py: 937 warnings discrete/tests/test_conditional.py: 155 warnings formula/tests/test_manager.py: 441 warnings multivariate/tests/test_manova.py: 88 warnings miscmodels/tests/test_ordinal_model.py: 287 warnings genmod/tests/test_qif.py: 49 warnings tsa/ardl/tests/test_ardl.py: 2160 warnings regression/tests/test_regression.py: 82 warnings regression/tests/test_recursive_ls.py: 20 warnings imputation/tests/test_bayes_mi.py: 320 warnings genmod/tests/test_glm.py: 92 warnings regression/tests/test_rolling.py: 48 warnings base/tests/test_data.py: 30 warnings base/tests/test_generic_methods.py: 480 warnings robust/tests/test_mquantiles.py: 26 warnings genmod/tests/test_glm_weights.py: 52 warnings discrete/tests/test_constrained.py: 149 warnings stats/tests/test_influence.py: 48 warnings robust/tests/test_rlm.py: 10 warnings graphics/tests/test_regressionplots.py: 74 warnings duration/tests/test_phreg.py: 125 warnings miscmodels/tests/test_tmodel.py: 20 warnings treatment/tests/test_teffects.py: 19 warnings othermod/tests/test_beta.py: 373 warnings tools/tests/test_data.py: 18 warnings genmod/tests/test_bayes_mixed_glm.py: 248 warnings genmod/tests/test_gee_glm.py: 128 warnings imputation/tests/test_mice.py: 15015 warnings regression/tests/test_dimred.py: 22 warnings gam/tests/test_gam.py: 16 warnings formula/tests/test_formula.py: 228 warnings regression/tests/test_quantile_regression.py: 180 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/compat/patsy.py:13: DeprecationWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, pd.CategoricalDtype) instead return pd.api.types.is_categorical_dtype(dt) statsmodels/tsa/ardl/tests/test_ardl.py:414 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/ardl/tests/test_ardl.py:414: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/tsa/ardl/tests/test_ardl.py:726 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/ardl/tests/test_ardl.py:726: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/tsa/base/tests/test_tsa_indexes.py:41 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/base/tests/test_tsa_indexes.py:41: FutureWarning: 'Y' is deprecated and will be removed in a future version, please use 'YE' instead. pd.date_range(start="1950-01-01", periods=nobs, freq=YEAR_END), statsmodels/tsa/base/tests/test_tsa_indexes.py:43 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/base/tests/test_tsa_indexes.py:43: FutureWarning: 'Q-DEC' is deprecated and will be removed in a future version, please use 'QE-DEC' instead. pd.date_range(start="1950-01-01", periods=nobs, freq=TWO_QE_DEC), statsmodels/tsa/forecasting/tests/test_stl.py:46 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/forecasting/tests/test_stl.py:46: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/tsa/forecasting/tests/test_theta.py:166 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/forecasting/tests/test_theta.py:166: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/tsa/holtwinters/tests/test_holtwinters.py:815 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py:815: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Issues and checks warnings") statsmodels/tsa/vector_ar/tests/test_var.py:199 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/vector_ar/tests/test_var.py:199: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="uses matplotlib") statsmodels/tsa/vector_ar/tests/test_var.py:212 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/vector_ar/tests/test_var.py:212: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="uses matplotlib") statsmodels/tsa/vector_ar/tests/test_var.py:222 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/vector_ar/tests/test_var.py:222: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="uses matplotlib") statsmodels/tsa/vector_ar/tests/test_var.py:242 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/vector_ar/tests/test_var.py:242: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="uses matplotlib") statsmodels/tsa/vector_ar/tests/test_var.py:468 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/vector_ar/tests/test_var.py:468: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="uses matplotlib") statsmodels/tsa/vector_ar/tests/test_var.py:474 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/vector_ar/tests/test_var.py:474: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="uses matplotlib") statsmodels/tsa/vector_ar/tests/test_var.py:479 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/vector_ar/tests/test_var.py:479: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="uses matplotlib") statsmodels/tsa/vector_ar/tests/test_var.py:484 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/vector_ar/tests/test_var.py:484: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="uses matplotlib") statsmodels/tsa/vector_ar/tests/test_var.py:817 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/vector_ar/tests/test_var.py:817: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="uses matplotlib") statsmodels/tsa/vector_ar/tests/test_var.py:1222 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/vector_ar/tests/test_var.py:1222: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="uses matplotlib") statsmodels/tsa/vector_ar/tests/test_var.py:1247 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/vector_ar/tests/test_var.py:1247: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="uses matplotlib") statsmodels/tsa/statespace/tests/test_dynamic_factor.py:115 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor.py:115: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/tsa/statespace/tests/test_exponential_smoothing.py:292 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py:292: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython code is not thread safe") statsmodels/tsa/statespace/tests/test_exponential_smoothing.py:378 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py:378: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython code is not thread safe") statsmodels/tsa/statespace/tests/test_exponential_smoothing.py:461 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py:461: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython code is not thread safe") statsmodels/tsa/statespace/tests/test_exponential_smoothing.py:506 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py:506: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython code is not thread safe") statsmodels/tsa/statespace/tests/test_exponential_smoothing.py:549 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py:549: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython code is not thread safe") statsmodels/tsa/statespace/tests/test_exponential_smoothing.py:560 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py:560: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython code is not thread safe") statsmodels/tsa/statespace/tests/test_exponential_smoothing.py:821 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py:821: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython code is not thread safe") statsmodels/tsa/statespace/tests/test_exponential_smoothing.py:834 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py:834: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython code is not thread safe") statsmodels/tsa/statespace/tests/test_kalman.py:209 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_kalman.py:209: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("Pickle can't be tested in parallel") statsmodels/tsa/statespace/tests/test_models.py:150 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_models.py:150: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:70 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:70: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:83 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:83: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:91 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:91: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:158 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:158: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:210 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:210: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:229 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:229: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:239 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:239: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:263 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:263: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:270 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:270: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:296 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:296: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:306 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:306: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:330 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:330: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:366 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:366: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:385 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:385: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:395 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:395: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:420 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:420: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:458 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:458: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:480 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:480: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:490 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:490: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:517 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:517: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:540 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:540: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:550 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:550: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:577 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:577: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:608 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:608: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:613 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:613: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:623 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:623: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:649 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:649: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:699 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:699: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:706 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:706: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:717 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:717: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:747 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:747: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:794 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:794: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:825 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:825: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:835 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:835: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:860 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:860: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:897 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:897: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:998 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:998: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:1017 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:1017: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:1055 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:1055: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:1072 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:1072: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:1078 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:1078: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:1125 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:1125: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:1257 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:1257: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:1301 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:1301: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:1309 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:1309: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:1816 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:1816: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:1865 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:1865: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:1921 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:1921: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_sarimax.py:3042 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_sarimax.py:3042: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe("matplotlib is not thread safe") statsmodels/tsa/statespace/tests/test_simulation_smoothing.py:158 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py:158: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_simulation_smoothing.py:237 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py:237: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_simulation_smoothing.py:331 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py:331: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_simulation_smoothing.py:605 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py:605: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="statespace cython is not thread safe") statsmodels/tsa/statespace/tests/test_varmax.py:38 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_varmax.py:38: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe statsmodels/tsa/statespace/tests/test_varmax.py:56 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_varmax.py:56: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe statsmodels/tsa/statespace/tests/test_varmax.py:200 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_varmax.py:200: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe statsmodels/tsa/statespace/tests/test_varmax.py:205 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_varmax.py:205: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe statsmodels/tsa/statespace/tests/test_varmax.py:258 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_varmax.py:258: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe statsmodels/tsa/statespace/tests/test_varmax.py:263 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_varmax.py:263: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe statsmodels/tsa/statespace/tests/test_varmax.py:437 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_varmax.py:437: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe statsmodels/tsa/statespace/tests/test_varmax.py:442 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_varmax.py:442: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe statsmodels/tsa/statespace/tests/test_varmax.py:493 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_varmax.py:493: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe statsmodels/tsa/statespace/tests/test_varmax.py:499 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_varmax.py:499: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe statsmodels/tsa/statespace/tests/test_varmax.py:512 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_varmax.py:512: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe statsmodels/tsa/statespace/tests/test_varmax.py:619 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_varmax.py:619: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe statsmodels/tsa/statespace/tests/test_varmax.py:644 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_varmax.py:644: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe statsmodels/tsa/statespace/tests/test_varmax.py:650 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_varmax.py:650: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe statsmodels/tsa/stl/tests/test_mstl.py:111 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/stl/tests/test_mstl.py:111: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/tsa/stl/tests/test_stl.py:290 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/stl/tests/test_stl.py:290: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/tsa/tests/test_ar.py:386 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:386: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/tsa/tests/test_ar.py:452 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:452: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/tsa/tests/test_ar.py:1066 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:1066: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/tsa/tests/test_exponential_smoothing.py:643 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_exponential_smoothing.py:643: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Issues and checks warnings") statsmodels/tsa/tests/test_seasonal.py:957 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_seasonal.py:957: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/tsa/tests/test_x13.py:29 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_x13.py:29: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. monthly_data = dta.resample(MONTH_END) ../../../../../../../usr/lib/python3.14/site-packages/pandas/core/resample.py:2359: 1 warning tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py: 70 warnings tsa/stl/tests/test_stl.py: 1 warning tsa/statespace/tests/test_decompose.py: 2 warnings tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py: 5 warnings tsa/statespace/tests/test_dynamic_factor_mq.py: 167 warnings /usr/lib/python3.14/site-packages/pandas/core/resample.py:2359: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`). Please use a specific unit instead. + Timedelta(days=1, unit=edges_dti.unit).as_unit(edges_dti.unit) statsmodels/tsa/tests/test_x13.py:86 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_x13.py:86: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") statsmodels/tsa/vector_ar/tests/test_vecm.py:1697 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/vector_ar/tests/test_vecm.py:1697: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") tsa/tests/test_seasonal.py::test_seasonal_decompose_too_short /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_seasonal.py:849: FutureWarning: 'Q' is deprecated and will be removed in a future version, please use 'QE' instead. dates = pd.date_range("2000-01-31", periods=4, freq=QUARTER_END) tsa/tests/test_seasonal.py::test_seasonal_decompose_too_short /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_seasonal.py:856: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. dates = pd.date_range("2000-01-31", periods=12, freq=MONTH_END) tsa/tests/test_seasonal.py::test_seasonal_decompose_smoke /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_seasonal.py:907: FutureWarning: 'Q' is deprecated and will be removed in a future version, please use 'QE' instead. x, pd.date_range(start="1/1/1951", periods=len(x), freq=QUARTER_END) tsa/tests/test_seasonal.py::TestDecompose::test_pandas_nofreq /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_seasonal.py:260: FutureWarning: 'Q' is deprecated and will be removed in a future version, please use 'QE' instead. index = pd.date_range(start="1/1/1951", periods=len(data), freq=QUARTER_END) tsa/tests/test_seasonal.py::TestDecompose::test_pandas /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_seasonal.py:387: FutureWarning: 'Y' is deprecated and will be removed in a future version, please use 'YE' instead. freq_override_data.index = pd.date_range( regression/tests/test_lme.py::test_fit_unsupported_kwargs_warns regression/tests/test_lme.py::test_fit_unsupported_kwargs_warns regression/tests/test_lme.py::test_fit_unsupported_kwargs_warns regression/tests/test_lme.py::test_fit_unsupported_kwargs_ignored regression/tests/test_lme.py::test_fit_unsupported_kwargs_ignored regression/tests/test_lme.py::test_fit_unsupported_kwargs_ignored regression/tests/test_lme.py::test_singular /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/regression/mixed_linear_model.py:2384: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals rslt = super().fit( regression/tests/test_lme.py::test_fit_unsupported_kwargs_warns /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/regression/tests/test_lme.py:1443: ConvergenceWarning: Retrying MixedLM optimization with lbfgs model.fit(cov_type="hc1") regression/tests/test_lme.py::test_fit_unsupported_kwargs_warns /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/regression/tests/test_lme.py:1443: ConvergenceWarning: Retrying MixedLM optimization with cg model.fit(cov_type="hc1") regression/tests/test_lme.py::test_fit_unsupported_kwargs_warns /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/regression/tests/test_lme.py:1443: ConvergenceWarning: MixedLM optimization failed, trying a different optimizer may help. model.fit(cov_type="hc1") regression/tests/test_lme.py::test_fit_unsupported_kwargs_warns /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/regression/tests/test_lme.py:1443: ConvergenceWarning: Gradient optimization failed, |grad| = 1.230293 model.fit(cov_type="hc1") regression/tests/test_lme.py::test_fit_unsupported_kwargs_ignored /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/regression/tests/test_lme.py:1424: ConvergenceWarning: Retrying MixedLM optimization with lbfgs result = model.fit(cov_type="hc1") regression/tests/test_lme.py::test_fit_unsupported_kwargs_ignored /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/regression/tests/test_lme.py:1424: ConvergenceWarning: Retrying MixedLM optimization with cg result = model.fit(cov_type="hc1") regression/tests/test_lme.py::test_fit_unsupported_kwargs_ignored /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/regression/tests/test_lme.py:1424: ConvergenceWarning: MixedLM optimization failed, trying a different optimizer may help. result = model.fit(cov_type="hc1") regression/tests/test_lme.py::test_fit_unsupported_kwargs_ignored /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/regression/tests/test_lme.py:1424: ConvergenceWarning: Gradient optimization failed, |grad| = 0.822396 result = model.fit(cov_type="hc1") regression/tests/test_lme.py::test_fit_unsupported_kwargs_ignored /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/regression/tests/test_lme.py:1424: ConvergenceWarning: The MLE may be on the boundary of the parameter space. result = model.fit(cov_type="hc1") regression/tests/test_lme.py::test_fit_unsupported_kwargs_ignored /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/regression/tests/test_lme.py:1424: ConvergenceWarning: The Hessian matrix at the estimated parameter values is not positive definite. result = model.fit(cov_type="hc1") regression/tests/test_lme.py::test_singular /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/regression/tests/test_lme.py:1334: ConvergenceWarning: Retrying MixedLM optimization with lbfgs mdf = md.fit() regression/tests/test_lme.py::test_singular /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/regression/tests/test_lme.py:1334: ConvergenceWarning: The MLE may be on the boundary of the parameter space. mdf = md.fit() regression/tests/test_lme.py::test_singular /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/regression/tests/test_lme.py:1334: ConvergenceWarning: The Hessian matrix at the estimated parameter values is not positive definite. mdf = md.fit() nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_lc_cvls /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/nonparametric/kernel_regression.py:313: RuntimeWarning: invalid value encountered in divide B_x = (G_numer * d_fx - G_denom * d_mx) / (G_denom**2) tsa/statespace/tests/test_chandrasekhar.py: 2 warnings tsa/statespace/tests/test_exact_diffuse_filtering.py: 2 warnings tsa/statespace/tests/test_smoothing.py: 164 warnings tsa/statespace/tests/test_weights.py: 314 warnings tsa/statespace/tests/test_decompose.py: 1 warning tsa/statespace/tests/test_univariate.py: 4 warnings tsa/statespace/tests/test_multivariate_switch_univariate.py: 93 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/kalman_smoother.py:443: OutputWarning: The univariate filtering approach diagonalized the observation covariance matrix, so `smoothed_measurement_disturbance_cov` describes the transformed disturbances C_t^{-1} eps_t rather than eps_t. `smoothed_measurement_disturbance` is unaffected. results.update_smoother(smoother) distributions/copula/tests/test_model.py::TestEVAsymLogistic::test distributions/copula/tests/test_model.py::TestEVHR::test distributions/copula/tests/test_model.py::TestClayton::test distributions/copula/tests/test_model.py::TestEVAsymMixed::test distributions/copula/tests/test_model.py::TestGaussian::test distributions/copula/tests/test_model.py::TestGumbel::test distributions/copula/tests/test_model.py::TestFrank::test /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/model.py:1200: UserWarning: df_model + k_constant + k_extra differs from k_params genericmlefit = results_class(self, mlefit) distributions/copula/tests/test_model.py::TestEVAsymLogistic::test distributions/copula/tests/test_model.py::TestEVHR::test distributions/copula/tests/test_model.py::TestClayton::test distributions/copula/tests/test_model.py::TestEVAsymMixed::test distributions/copula/tests/test_model.py::TestGaussian::test distributions/copula/tests/test_model.py::TestGumbel::test distributions/copula/tests/test_model.py::TestFrank::test /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/model.py:1200: UserWarning: df_resid differs from nobs - k_params genericmlefit = results_class(self, mlefit) discrete/tests/test_count_model.py: 5 warnings discrete/tests/test_truncated_model.py: 10 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/discrete_model.py:268: HessianInversionWarning: Inverting hessian failed, no bse or cov_params available mlefit = super().fit( discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_fit_regularized discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/l1_slsqp.py:129: ConvergenceWarning: QC check did not pass for 4 out of 4 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers passed = l1_solvers_common.qc_results( discrete/tests/test_count_model.py: 12 warnings discrete/tests/test_truncated_model.py: 2 warnings discrete/tests/test_discrete.py: 1 warning /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/l1_slsqp.py:135: ConvergenceWarning: Could not trim params automatically due to failed QC check. Trimming using trim_mode == 'size' will still work. params, trimmed = l1_solvers_common.do_trim_params( discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_fit_regularized discrete/tests/test_truncated_model.py::TestRegularizedHurdleSimulated::test_predict /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/l1_slsqp.py:129: ConvergenceWarning: QC check did not pass for 2 out of 6 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers passed = l1_solvers_common.qc_results( discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/l1_slsqp.py:129: ConvergenceWarning: QC check did not pass for 3 out of 6 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers passed = l1_solvers_common.qc_results( discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/l1_slsqp.py:129: ConvergenceWarning: QC check did not pass for 1 out of 3 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers passed = l1_solvers_common.qc_results( discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/l1_slsqp.py:129: ConvergenceWarning: QC check did not pass for 2 out of 5 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers passed = l1_solvers_common.qc_results( discrete/tests/test_count_model.py: 3 warnings discrete/tests/test_truncated_model.py: 9 warnings discrete/tests/test_discrete.py: 2 warnings base/tests/test_shrink_pickle.py: 4 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/discrete_model.py:268: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals mlefit = super().fit( discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_fit_regularized /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/l1_slsqp.py:129: ConvergenceWarning: QC check did not pass for 1 out of 5 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers passed = l1_solvers_common.qc_results( discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_fit_regularized /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/l1_slsqp.py:129: ConvergenceWarning: QC check did not pass for 3 out of 7 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers passed = l1_solvers_common.qc_results( tsa/base/tests/test_prediction.py: 14 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/base/tests/test_prediction.py:17: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. idx = pd.date_range("2000-1-1", periods=10, freq=MONTH_END) tsa/tests/test_deterministic.py: 12 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/deterministic.py:561: FutureWarning: 'H' is deprecated and will be removed in a future version, please use 'h' instead. index = pd.date_range("2020-01-01", freq=freq, periods=1) tsa/tests/test_deterministic.py::test_calendar_fourier_smoke[False] tsa/tests/test_deterministic.py::test_calendar_time_trend_smoke[False] tsa/tests/test_deterministic.py::test_calendar_fourier_smoke[None] tsa/tests/test_deterministic.py::test_calendar_time_trend_smoke[None] tsa/tests/test_deterministic.py::test_calendar_time_trend_smoke[list] tsa/tests/test_deterministic.py::test_calendar_fourier_smoke[list] tsa/tests/test_deterministic.py::test_check_index_type tsa/tests/test_deterministic.py::test_forbidden_index /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/deterministic.py:561: FutureWarning: 'Y' is deprecated and will be removed in a future version, please use 'YE' instead. index = pd.date_range("2020-01-01", freq=freq, periods=1) tsa/tests/test_deterministic.py::test_fourier_smoke[datetime-False] tsa/tests/test_deterministic.py::test_time_trend_smoke[period-False] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_deterministic.py:36: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. idx = pd.date_range("2000-01-01", periods=137, freq=MONTH_END) tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period11] tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period11] tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period11] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/deterministic.py:561: FutureWarning: 'Q' is deprecated and will be removed in a future version, please use 'QE' instead. index = pd.date_range("2020-01-01", freq=freq, periods=1) tsa/tests/test_deterministic.py: 12 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/deterministic.py:561: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. index = pd.date_range("2020-01-01", freq=freq, periods=1) tsa/tests/test_deterministic.py::test_calendar_seasonal_period_a /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_deterministic.py:458: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. index = pd.date_range("2000-01-01", freq=MONTH_END, periods=600) tsa/tests/test_deterministic.py::test_calendar_seasonal_period_q /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_deterministic.py:448: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. index = pd.date_range("2000-01-01", freq=MONTH_END, periods=600) tsa/tests/test_deterministic.py::test_range_index_basic /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_deterministic.py:549: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. idx = pd.date_range("2000-1-1", freq=MONTH_END, periods=120) tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[1-1-1-False] tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[1-1-1-False] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py:193: FutureWarning: 'Q' is deprecated and will be removed in a future version, please use 'QE' instead. dta_Q = dta_Q.resample(QUARTER_END).last() tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py: 34 warnings tsa/statespace/tests/test_decompose.py: 1 warning tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py: 2 warnings tsa/statespace/tests/test_dynamic_factor_mq.py: 77 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/dynamic_factor_mq.py:1576: FutureWarning: 'Q' is deprecated and will be removed in a future version, please use 'QE' instead. quarterly_resamp = quarterly_resamp.resample(QUARTER_END).first() tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py: 34 warnings tsa/statespace/tests/test_decompose.py: 1 warning tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py: 2 warnings tsa/statespace/tests/test_dynamic_factor_mq.py: 77 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/dynamic_factor_mq.py:1577: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. quarterly_resamp = quarterly_resamp.resample(MONTH_END).first() tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py: 4 warnings tsa/statespace/tests/test_news.py: 51 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/news.py:471: FutureWarning: The previous implementation of stack is deprecated and will be removed in a future version of pandas. See the What's New notes for pandas 2.1.0 for details. Specify future_stack=True to adopt the new implementation and silence this warning. s = self.weights.stack(level=[0, 1], **FUTURE_STACK) tsa/statespace/tests/test_fixed_params.py::test_varmax_validate tsa/statespace/tests/test_impulse_responses.py::test_varmax tsa/statespace/tests/test_impulse_responses.py::test_varmax tsa/tests/test_stattools.py::TestLeybourneMcCabe::test_dbaa_results tsa/statespace/tests/test_sarimax.py::test_sarimax_starting_values_few_obsevations_long_ma /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/mlemodel.py:737: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals mlefit = super().fit( duration/tests/test_survfunc.py::test_kernel_survfunc3 /usr/lib/python3.14/site-packages/numpy/_core/numeric.py:475: RuntimeWarning: invalid value encountered in cast multiarray.copyto(res, fill_value, casting='unsafe') graphics/tests/test_tsaplots.py: 10 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:454: DeprecationWarning: The 'generic' unit for NumPy timedelta is deprecated, and will raise an error in the future. This includes implicit conversion of bare integers (e.g. `+ 1`). Please use a specific unit instead. idx = [pd.Timestamp.now() + pd.Timedelta(seconds=i) for i in range(10)] graphics/tests/test_tsaplots.py::test_predict_plot[0.1-True-model_and_args1] graphics/tests/test_tsaplots.py::test_predict_plot[None-True-model_and_args0] graphics/tests/test_tsaplots.py::test_predict_plot[0.1-True-model_and_args0] graphics/tests/test_tsaplots.py::test_predict_plot[None-True-model_and_args1] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:439: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. index = pd.date_range("1960-1-1", freq=MONTH_END, periods=y.shape[0] + 24) graphics/tests/test_tsaplots.py::test_predict_plot[0.1-True-model_and_args1] graphics/tests/test_tsaplots.py::test_predict_plot[0.1-True-model_and_args1] graphics/tests/test_tsaplots.py::test_predict_plot[None-True-model_and_args0] graphics/tests/test_tsaplots.py::test_predict_plot[None-True-model_and_args0] graphics/tests/test_tsaplots.py::test_predict_plot[0.1-True-model_and_args0] graphics/tests/test_tsaplots.py::test_predict_plot[0.1-True-model_and_args0] graphics/tests/test_tsaplots.py::test_predict_plot[None-True-model_and_args1] graphics/tests/test_tsaplots.py::test_predict_plot[None-True-model_and_args1] /usr/lib/python3.14/site-packages/pandas/plotting/_matplotlib/converter.py:1063: MatplotlibDeprecationWarning: The locs attribute was deprecated in Matplotlib 3.11 and will be removed in 3.13. self.locs: list[Any] = [] # unused, for matplotlib compat graphics/tests/test_tsaplots.py: 16 warnings /usr/lib/python3.14/site-packages/pandas/plotting/_matplotlib/converter.py:1087: MatplotlibDeprecationWarning: The locs attribute was deprecated in Matplotlib 3.11 and will be removed in 3.13. self.locs = locs graphics/tests/test_tsaplots.py::test_plot_quarter /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:379: FutureWarning: 'Q-Oct' is deprecated and will be removed in a future version, please use 'Q-OCT' instead. dta.set_index(pd.PeriodIndex(dates, freq=FREQ), inplace=True) graphics/tests/test_tsaplots.py::test_plot_quarter /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_tsaplots.py:384: FutureWarning: 'Q-Oct' is deprecated and will be removed in a future version, please use 'Q-OCT' instead. dta.index = pd.PeriodIndex(dates, freq=FREQ).to_timestamp(freq=FREQ) tsa/statespace/tests/test_impulse_responses.py::test_pandas_univariate_dateindex /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_impulse_responses.py:865: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. ix = pd.date_range(start="2000", periods=1, freq=MONTH_END) tsa/statespace/tests/test_impulse_responses.py::test_pandas_anchor /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_impulse_responses.py:903: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. ix = pd.date_range(start="2000", periods=10, freq=MONTH_END) tsa/statespace/tests/test_impulse_responses.py::test_pandas_multivariate_dateindex /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_impulse_responses.py:890: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. ix = pd.date_range(start="2000", periods=1, freq=MONTH_END) tsa/statespace/tests/test_mlemodel.py::test_states_index_dateindex /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_mlemodel.py:1346: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. ix = pd.date_range(start="2000", periods=nobs, freq=MONTH_END) tsa/statespace/tests/test_mlemodel.py::test_states_index_dateindex /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_mlemodel.py:1352: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. predicted_ix = pd.date_range(start=ix[0], periods=nobs + 1, freq=MONTH_END) tsa/statespace/tests/test_mlemodel.py::test_integer_params /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/kalman_filter.py:1704: RuntimeWarning: invalid value encountered in scalar divide self.scale = np.sum(scale_obs[d:]) / nobs_k_endog discrete/tests/test_truncated_model.py::test_fit_regularized_converged_reports_joint_fit_too /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/l1_slsqp.py:129: ConvergenceWarning: QC check did not pass for 1 out of 2 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers passed = l1_solvers_common.qc_results( discrete/tests/test_truncated_model.py: 13 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/discrete_model.py:4341: RuntimeWarning: invalid value encountered in log + a1 * np.log(a1) discrete/tests/test_truncated_model.py: 12 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/discrete_model.py:4343: RuntimeWarning: invalid value encountered in log - (y + a1) * np.log(a2) discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[poisson-negbin] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-negbin] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-negbin] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-poisson] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/discrete_model.py:4342: RuntimeWarning: divide by zero encountered in log + y * np.log(mu) discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[poisson-negbin] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-negbin] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/discrete_model.py:4342: RuntimeWarning: invalid value encountered in multiply + y * np.log(mu) discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[poisson-negbin] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-negbin] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-negbin] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-poisson] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/discrete_model.py:4377: RuntimeWarning: invalid value encountered in divide a4 = p * a1 / mu discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[poisson-negbin] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-negbin] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/discrete_model.py:4383: RuntimeWarning: invalid value encountered in divide dparams = a4 * dgterm - a3 / a2 + y / mu discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-negbin] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-negbin] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-negbin] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-negbin] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-poisson] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-poisson] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-poisson] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-poisson] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/discrete_model.py:4380: RuntimeWarning: invalid value encountered in log dgterm = dgpart + np.log(a1 / a2) + 1 - a3 / a2 discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-negbin] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-poisson] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/discrete_model.py:4841: RuntimeWarning: overflow encountered in exp return np.exp(linpred) discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-negbin] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-poisson] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/discrete_model.py:4380: RuntimeWarning: divide by zero encountered in log dgterm = dgpart + np.log(a1 / a2) + 1 - a3 / a2 discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-negbin] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-poisson] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/discrete_model.py:4383: RuntimeWarning: invalid value encountered in multiply dparams = a4 * dgterm - a3 / a2 + y / mu discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-negbin] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-poisson] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/discrete_model.py:4383: RuntimeWarning: divide by zero encountered in divide dparams = a4 * dgterm - a3 / a2 + y / mu discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-negbin] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-poisson] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/discrete_model.py:4383: RuntimeWarning: overflow encountered in divide dparams = a4 * dgterm - a3 / a2 + y / mu discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-negbin] discrete/tests/test_truncated_model.py::test_fit_accepts_start_params_split_across_components[negbin-poisson] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/discrete_model.py:4488: RuntimeWarning: invalid value encountered in log lprob = np.log(prob) discrete/tests/test_truncated_model.py::TestHurdleL1Compatibility::test_params /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/discrete_model.py:1436: RuntimeWarning: overflow encountered in exp return -np.exp(XB) + endog * XB - gammaln(endog + 1) discrete/tests/test_truncated_model.py::TestHurdleL1Compatibility::test_params /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/truncated_model.py:742: RuntimeWarning: divide by zero encountered in log np.log(1 - np.exp(llf_main[self.nonzero_idx]))) discrete/tests/test_truncated_model.py::TestHurdlePoissonR::test_predict discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_influence discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_predict discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_influence /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/discrete_model.py:5286: UserWarning: using default log-link in get_prediction res = pred.get_prediction( stats/tests/test_contingency_tables.py::TestStratified1::test_pandas /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/stats/contingency_tables.py:1263: RuntimeWarning: divide by zero encountered in divide 1 / e11 stats/tests/test_contingency_tables.py::TestStratified1::test_pandas /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/stats/contingency_tables.py:1264: RuntimeWarning: divide by zero encountered in divide + 1 / (self._apc - e11) stats/tests/test_contingency_tables.py::TestStratified1::test_pandas /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/stats/contingency_tables.py:1265: RuntimeWarning: divide by zero encountered in divide + 1 / (self._apb - e11) stats/tests/test_contingency_tables.py::TestStratified1::test_pandas /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/stats/contingency_tables.py:1263: RuntimeWarning: invalid value encountered in add 1 / e11 stats/tests/test_contingency_tables.py::TestStratified1::test_pandas /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/stats/contingency_tables.py:1266: RuntimeWarning: divide by zero encountered in divide + 1 / (self._dma + e11) stats/tests/test_contingency_tables.py::TestStratified1::test_pandas /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/stats/contingency_tables.py:1270: RuntimeWarning: invalid value encountered in divide statistic = np.sum((table[0, 0, :] - e11) ** 2 / v11) genmod/tests/test_gee.py::TestGEE::test_invalid_args[False-True] genmod/tests/test_gee.py::TestGEE::test_invalid_args[True-True] genmod/tests/test_glm.py::test_names genmod/tests/test_glm.py::test_names_default /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/genmod/generalized_linear_model.py:319: RuntimeWarning: divide by zero encountered in log exposure = np.log(exposure_array) tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_unsupported tsa/statespace/tests/test_sarimax.py::test_simple_differencing_strindex tsa/statespace/tests/test_sarimax.py::test_simple_differencing_strindex /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/base/tsa_model.py:566: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. _index = to_datetime(index) tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_unsupported /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/base/tsa_model.py:480: ValueWarning: An unsupported index was provided. As a result, forecasts cannot be generated. To use the model for forecasting, use on the supported classes of index. self._init_dates(dates, freq) tsa/statespace/tests/test_news.py: 40 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/news.py:650: FutureWarning: The previous implementation of stack is deprecated and will be removed in a future version of pandas. See the What's New notes for pandas 2.1.0 for details. Specify future_stack=True to adopt the new implementation and silence this warning. s = self.weights.stack(level=[0, 1], **FUTURE_STACK) tsa/statespace/tests/test_news.py::test_mixed_revisions[-1] tsa/statespace/tests/test_news.py::test_detailed_revisions[True] tsa/statespace/tests/test_news.py::test_detailed_revisions[200] tsa/statespace/tests/test_news.py::test_detailed_revisions[-10] tsa/statespace/tests/test_news.py::test_grouped_revisions[False] tsa/statespace/tests/test_news.py::test_mixed_revisions[201] tsa/statespace/tests/test_news.py::test_grouped_revisions[202] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/news.py:738: FutureWarning: The previous implementation of stack is deprecated and will be removed in a future version of pandas. See the What's New notes for pandas 2.1.0 for details. Specify future_stack=True to adopt the new implementation and silence this warning. weights = self.revision_weights.stack(level=[0, 1], **FUTURE_STACK) tsa/statespace/tests/test_news.py::test_news_summary_methods tsa/statespace/tests/test_news.py::test_news_summary_methods tsa/statespace/tests/test_news.py::test_news_summary_methods tsa/statespace/tests/test_news.py::test_news_summary_methods tsa/statespace/tests/test_news.py::test_news_summary_methods tsa/statespace/tests/test_news.py::test_news_summary_methods /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/news.py:569: FutureWarning: The previous implementation of stack is deprecated and will be removed in a future version of pandas. See the What's New notes for pandas 2.1.0 for details. Specify future_stack=True to adopt the new implementation and silence this warning. weights = self.revision_weights.stack(level=[0, 1], **FUTURE_STACK) discrete/tests/test_discrete.py: 28 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/optimizer.py:536: PerfectSeparationWarning: Perfect separation or prediction detected, parameter may not be identified callback(newparams) discrete/tests/test_discrete.py::test_mnlogit_basinhopping discrete/tests/test_discrete.py::test_mnlogit_float_name discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_cov_params discrete/tests/test_discrete.py::TestL1AlphaZeroMNLogit::test_basic_results /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/discrete_model.py:858: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals mnfit = base.LikelihoodModel.fit( discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_df /usr/lib/python3.14/site-packages/numpy/_core/fromnumeric.py:83: RuntimeWarning: overflow encountered in reduce return ufunc.reduce(obj, axis, dtype, out, **passkwargs) discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/l1_slsqp.py:129: ConvergenceWarning: QC check did not pass for 2 out of 11 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers passed = l1_solvers_common.qc_results( discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_converged /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/discrete_model.py:438: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals mlefit = super().fit( stats/tests/test_power.py::test_power_solver_warn /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/stats/power.py:185: RuntimeWarning: invalid value encountered in sqrt pow_ = stats.norm.sf(crit - d * np.sqrt(nobs) / sigma) tsa/statespace/tests/test_exact_diffuse_filtering.py::test_irrelevant_state /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/structural.py:1214: ModelWarning: Care should be used when applying a loglikelihood burn to a model with exact diffuse initialization. Some results objects, e.g., degrees of freedom, expect only one of the two to be set. super().__init__(model, params, filter_results, cov_type, **kwargs) tsa/statespace/tests/test_structural.py::test_fixed_slope tsa/statespace/tests/test_structural.py::test_fixed_slope tsa/statespace/tests/test_structural.py::test_fixed_slope_warn tsa/statespace/tests/test_structural.py::test_fixed_slope_warn tsa/statespace/tests/test_structural.py::test_fixed_intercept tsa/statespace/tests/test_structural.py::test_fixed_intercept /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_structural.py:55: SpecificationWarning: Specified model does not contain a stochastic element; irregular component added. mod = UnobservedComponents(values["unemp"], **kwargs) base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC2::test_numdiff base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC::test_summary2 /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/genmod/generalized_linear_model.py:1342: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals rslt = super().fit( discrete/tests/test_conditional.py::test_logit_formula discrete/tests/test_conditional.py::test_logit_formula /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/conditional_models.py:303: ModelWarning: Dropped 1 groups and 50 observations for having no within-group variance super().__init__(endog, exog, missing=missing, **kwargs) discrete/tests/test_conditional.py::test_logit_formula discrete/tests/test_conditional.py::test_logit_formula discrete/tests/test_conditional.py::test_logit_formula discrete/tests/test_conditional.py::test_logit_formula /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/conditional_models.py:377: RuntimeWarning: overflow encountered in scalar multiply v = f(t - 1, k) + f(t - 1, k - 1) * exb[t - 1] discrete/tests/test_conditional.py::test_logit_formula discrete/tests/test_conditional.py::test_logit_formula /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/conditional_models.py:411: RuntimeWarning: overflow encountered in scalar multiply d = c * h * ex[t - 1, :] discrete/tests/test_conditional.py::test_logit_formula discrete/tests/test_conditional.py::test_logit_formula /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/conditional_models.py:413: RuntimeWarning: overflow encountered in scalar multiply u, v = a + c * h, b + d + e * h discrete/tests/test_conditional.py::test_logit_formula discrete/tests/test_conditional.py::test_logit_formula discrete/tests/test_conditional.py::test_logit_formula discrete/tests/test_conditional.py::test_logit_formula /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/conditional_models.py:413: RuntimeWarning: overflow encountered in multiply u, v = a + c * h, b + d + e * h discrete/tests/test_conditional.py::test_logit_formula discrete/tests/test_conditional.py::test_logit_formula /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/conditional_models.py:442: RuntimeWarning: invalid value encountered in divide return self._xy[grp] - h / d discrete/tests/test_conditional.py::test_logit_formula discrete/tests/test_conditional.py::test_logit_formula /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/discrete/conditional_models.py:181: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals rslt = super().fit( tsa/vector_ar/tests/test_vecm.py::test_coint_rank_results_summary tsa/vector_ar/tests/test_vecm.py::test_select_coint_rank tsa/vector_ar/tests/test_coint.py::TestCointJoh09::test_normalization tsa/vector_ar/tests/test_coint.py::test_johansen_result_aliases_and_rkt_meth tsa/vector_ar/tests/test_coint.py::test_coint_johansen_0lag tsa/vector_ar/tests/test_coint.py::TestCointJoh25::test_table_maxeval tsa/vector_ar/tests/test_coint.py::TestCointJohMin18::test_table_trace tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_basic /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/vector_ar/vecm.py:717: ComplexWarning: Casting complex values to real discards the imaginary part lr1[i] = -t * np.sum(tmp, 0) tsa/vector_ar/tests/test_vecm.py::test_coint_rank_results_summary tsa/vector_ar/tests/test_vecm.py::test_select_coint_rank tsa/vector_ar/tests/test_coint.py::TestCointJoh09::test_normalization tsa/vector_ar/tests/test_coint.py::test_johansen_result_aliases_and_rkt_meth tsa/vector_ar/tests/test_coint.py::test_coint_johansen_0lag tsa/vector_ar/tests/test_coint.py::TestCointJoh25::test_table_maxeval tsa/vector_ar/tests/test_coint.py::TestCointJohMin18::test_table_trace tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_basic /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/vector_ar/vecm.py:718: ComplexWarning: Casting complex values to real discards the imaginary part lr2[i] = -t * np.log(1 - a[i]) tsa/arima/estimators/tests/test_estimator_result.py::test_gls_returns_estimator_result /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/arima/estimators/tests/test_estimator_result.py:56: ConvergenceWarning: Feasible GLS failed to converge in 2 iterations. Consider increasing the maximum number of iterations using the `max_iter` argument or reducing the required tolerance using the `tolerance` argument. _check(gls(endog, exog, order=(1, 0, 0), max_iter=2)) graphics/tests/test_gofplots.py::test_qqplot_unequal /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:383: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") graphics/tests/test_gofplots.py::test_qqplot_unequal /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:388: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") graphics/tests/test_gofplots.py::test_qqplot_unequal /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/graphics/tests/test_gofplots.py:396: PytestUnknownMarkWarning: Unknown pytest.mark.thread_unsafe - is this a typo? You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html @pytest.mark.thread_unsafe(reason="Uses matplotlib") tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected2] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tsatools.py:980: FutureWarning: 'Q' is deprecated and will be removed in a future version, please use 'QE' instead. freq = to_offset(freq) # go ahead and standardize tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected2] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_tsa_tools.py:608: FutureWarning: 'Q' is deprecated and will be removed in a future version, please use 'QE' instead. assert_equal(tools.freq_to_period(to_offset(freq)), expected) tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected0] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tsatools.py:980: FutureWarning: 'Y' is deprecated and will be removed in a future version, please use 'YE' instead. freq = to_offset(freq) # go ahead and standardize tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected0] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_tsa_tools.py:608: FutureWarning: 'Y' is deprecated and will be removed in a future version, please use 'YE' instead. assert_equal(tools.freq_to_period(to_offset(freq)), expected) tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected1] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tsatools.py:980: FutureWarning: 'A-MAR' is deprecated and will be removed in a future version, please use 'YE-MAR' instead. freq = to_offset(freq) # go ahead and standardize tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected1] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_tsa_tools.py:608: FutureWarning: 'A-MAR' is deprecated and will be removed in a future version, please use 'YE-MAR' instead. assert_equal(tools.freq_to_period(to_offset(freq)), expected) stats/tests/test_descriptivestats.py::test_empty_columns stats/tests/test_descriptivestats.py::test_empty_columns stats/tests/test_descriptivestats.py::test_categorical_ntop_freq_length stats/tests/test_descriptivestats.py::test_description_basic /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/stats/descriptivestats.py:436: SmallSampleWarning: One or more sample arguments is too small; all returned values will be NaN. See documentation for sample size requirements. mode_res = stats.mode(ser_no_missing, **kwargs) tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_2d_input_with_missing_values /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_stattools.py:1118: UserWarning: Early subset of data for variable 2 has too few non-missing observations to calculate test statistic. _result = breakvar_heteroskedasticity_test(input_residuals) tsa/tests/test_stattools.py::test_acovf2d /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_stattools.py:1829: FutureWarning: 'Y' is deprecated and will be removed in a future version, please use 'YE' instead. dta.index = date_range(start="1700", end="2009", freq=YEAR_END)[:309] tsa/tests/test_stattools.py::test_arma_order_select_ic tsa/tests/test_stattools.py::test_arma_order_select_ic tsa/tests/test_stattools.py::test_arma_order_select_ic tsa/statespace/tests/test_sarimax.py::test_sarimax_starting_values_few_obsevations_long_ma /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/mlemodel.py:679: EstimationWarning: Non-invertible starting MA parameters found. Using zeros as starting parameters. start_params = self.start_params tsa/tests/test_stattools.py::test_arma_order_select_ic /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_stattools.py:1980: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. index = pd.date_range("2000-1-1", freq=MONTH_END, periods=len(y)) tsa/tests/test_stattools.py::test_pacf_1_obs /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/regression/linear_model.py:1675: RuntimeWarning: invalid value encountered in scalar divide r[k] = (x[0:-k] * x[k:]).sum() / (n - k * adj_needed) tsa/tests/test_stattools.py::test_pacf_1_obs /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/stattools/_stattools.py:1111: SingularMatrixWarning: Matrix is singular. Using pinv. yule_walker(x, k, method=method, result_object=False)[0][-1] tsa/tests/test_stattools.py::test_acovf_all_missing /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/stattools/_stattools.py:560: RuntimeWarning: invalid value encountered in scalar divide xo = x - x.sum() / notmask_int.sum() tsa/tests/test_stattools.py::test_acovf_all_missing /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/stattools/_stattools.py:612: RuntimeWarning: invalid value encountered in divide acov = np.fft.ifft(Frf * np.conjugate(Frf))[:nobs] / d[nobs - 1 :] tsa/tests/test_stattools.py::TestRUR::test_pval /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_stattools.py:1792: InterpolationWarning: The test statistic is outside of the range of p-values available in the look-up table. The actual p-value is smaller than the p-value returned. _, simple_pval, _ = self.simple_rur(self.x) tsa/tests/test_stattools.py::TestRUR::test_teststat /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_stattools.py:1786: InterpolationWarning: The test statistic is outside of the range of p-values available in the look-up table. The actual p-value is smaller than the p-value returned. simple_rur_stat, _, _ = self.simple_rur(self.x) tsa/tests/test_arima_process.py::test_from_estimation[True-0] tsa/tests/test_arima_process.py::test_from_estimation[True-1] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_arima_process.py:467: FutureWarning: 'Q' is deprecated and will be removed in a future version, please use 'QE' instead. idx = pd.date_range(dt.datetime(1900, 1, 1), periods=500, freq=QUARTER_END) robust/tests/test_tools.py::test_tuning_smoke[case5] robust/tests/test_tools.py::test_tuning_smoke[case6] /usr/lib/python3.14/site-packages/scipy/stats/_distn_infrastructure.py:3049: IntegrationWarning: The maximum number of subdivisions (50) has been achieved. If increasing the limit yields no improvement it is advised to analyze the integrand in order to determine the difficulties. If the position of a local difficulty can be determined (singularity, discontinuity) one will probably gain from splitting up the interval and calling the integrator on the subranges. Perhaps a special-purpose integrator should be used. cd = integrate.quad(fun, c, d, **kwds)[0] discrete/tests/test_predict.py::test_distr[case11] discrete/tests/test_predict.py::test_distr[case10] discrete/tests/test_predict.py::test_distr[case9] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/stats/outliers_influence.py:655: RuntimeWarning: invalid value encountered in sqrt return sf / np.sqrt(hf) / np.sqrt(1 - self.hat_matrix_diag) tsa/vector_ar/tests/test_var.py::test_irf_err_bands tsa/vector_ar/tests/test_var.py::test_irf_err_bands /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/vector_ar/irf.py:878: ComplexWarning: Casting complex values to real discards the imaginary part W[i, j, :, :], eigva[i, j, :, 0], k[i, j] = util.eigval_decomp( tsa/vector_ar/tests/test_var.py::test_irf_err_bands /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/vector_ar/irf.py:817: ComplexWarning: Casting complex values to real discards the imaginary part W[i], eigva[i], k[i] = util.eigval_decomp(stack_cov[i]) tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_irf_stderr /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/base/tsa_model.py:606: FutureWarning: 'BQ-MAR' is deprecated and will be removed in a future version, please use 'BQE-MAR' instead. freq = to_offset(freq) genmod/tests/test_glm.py::TestRegularized::test_regularized_l1_slsqp_fit_history_iteration /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/genmod/tests/test_glm.py:3029: ConvergenceWarning: Regularized fitting did not converge result = model.fit_regularized( genmod/tests/test_glm.py::TestRegularized::test_regularized_l1_slsqp_fit_history_iteration /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/genmod/tests/test_glm.py:3035: ConvergenceWarning: Regularized fitting did not converge result = model.fit_regularized( tsa/filters/tests/test_hamilton_filter.py::test_minimum_length_works[5-7] tsa/filters/tests/test_hamilton_filter.py::test_minimum_length_works[11-7] tsa/filters/tests/test_hamilton_filter.py::test_minimum_length_works[11-3] tsa/filters/tests/test_hamilton_filter.py::test_minimum_length_works[5-3] tsa/filters/tests/test_hamilton_filter.py::test_minimum_length_works[2-7] tsa/filters/tests/test_hamilton_filter.py::test_minimum_length_works[7-7] tsa/filters/tests/test_hamilton_filter.py::test_minimum_length_works[7-3] tsa/filters/tests/test_hamilton_filter.py::test_minimum_length_works[2-3] tsa/tests/test_ar.py::test_no_obs_for_adjustment /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/regression/linear_model.py:1954: RuntimeWarning: divide by zero encountered in scalar divide return np.dot(wresid, wresid) / self.df_resid tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/mlemodel.py:1461: RuntimeWarning: invalid value encountered in divide return np.inner(score_obs, score_obs) / ( tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[vare] tools/tests/test_eval_measures.py::test_measures_empty_input[vare] /usr/lib/python3.14/site-packages/numpy/_core/fromnumeric.py:4270: RuntimeWarning: Degrees of freedom <= 0 for slice return _methods._var(a, axis=axis, dtype=dtype, out=out, ddof=ddof, tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[vare] tools/tests/test_eval_measures.py::test_measures_empty_input[vare] /usr/lib/python3.14/site-packages/numpy/_core/_methods.py:178: RuntimeWarning: invalid value encountered in divide arrmean = um.true_divide(arrmean, div, out=arrmean, tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs tools/tests/test_eval_measures.py::test_measures_empty_input[vare] /usr/lib/python3.14/site-packages/numpy/_core/_methods.py:211: RuntimeWarning: invalid value encountered in scalar divide ret = ret.dtype.type(ret / rcount) tsa/statespace/tests/test_sarimax.py::test_sarimax_starting_values_few_obsevations /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/mlemodel.py:679: EstimationWarning: Non-stationary starting autoregressive parameters found. Using zeros as starting parameters. start_params = self.start_params nonparametric/tests/test_kde.py::test_entropy_finite_domain_kernel[biw] nonparametric/tests/test_kde.py::test_entropy_finite_domain_kernel[uni] nonparametric/tests/test_kde.py::test_entropy_finite_domain_kernel[cos] nonparametric/tests/test_kde.py::test_entropy_finite_domain_kernel[epa] nonparametric/tests/test_kde.py::test_entropy_finite_domain_kernel[tri] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/nonparametric/kde.py:287: IntegrationWarning: The maximum number of subdivisions (50) has been achieved. If increasing the limit yields no improvement it is advised to analyze the integrand in order to determine the difficulties. If the position of a local difficulty can be determined (singularity, discontinuity) one will probably gain from splitting up the interval and calling the integrator on the subranges. Perhaps a special-purpose integrator should be used. return -integrate.quad(entr, a, b, args=(endog,))[0] tools/tests/test_eval_measures.py: 12 warnings /usr/lib/python3.14/site-packages/numpy/_core/fromnumeric.py:3862: RuntimeWarning: Mean of empty slice return _methods._mean(a, axis=axis, dtype=dtype, tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[mse] tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[bias] tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[meanabs] tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[medianbias] tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[medianabs] tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[rmse] /usr/lib/python3.14/site-packages/numpy/_core/_methods.py:134: RuntimeWarning: invalid value encountered in divide ret = um.true_divide( tools/tests/test_eval_measures.py::test_measures_empty_input[bias] tools/tests/test_eval_measures.py::test_measures_empty_input[medianabs] tools/tests/test_eval_measures.py::test_measures_empty_input[mse] tools/tests/test_eval_measures.py::test_measures_empty_input[medianbias] tools/tests/test_eval_measures.py::test_measures_empty_input[meanabs] tools/tests/test_eval_measures.py::test_measures_empty_input[rmse] /usr/lib/python3.14/site-packages/numpy/_core/_methods.py:142: RuntimeWarning: invalid value encountered in scalar divide ret = ret.dtype.type(ret / rcount) tools/tests/test_eval_measures.py::test_measures_empty_input[rmspe] tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[rmspe] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tools/eval_measures.py:131: RuntimeWarning: Mean of empty slice mspe = np.nanmean(percentage_error ** 2, axis=axis) * 100 tools/tests/test_eval_measures.py::test_measures_empty_input_keeps_axis_shape[vare] /usr/lib/python3.14/site-packages/numpy/_core/_methods.py:208: RuntimeWarning: invalid value encountered in divide ret = um.true_divide( nonparametric/tests/test_lowess.py::TestLowess::test_exog_predict /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/nonparametric/tests/test_lowess.py:270: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy y[[5, 6]] = np.nan nonparametric/tests/test_lowess.py::TestLowess::test_exog_predict /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/nonparametric/tests/test_lowess.py:271: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy x[3] = np.nan nonparametric/tests/test_lowess.py::TestLowess::test_duplicate_xs /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/nonparametric/smoothers_lowess.py:237: RuntimeWarning: invalid value encountered in divide res, _ = _lowess( tsa/tests/test_exponential_smoothing.py: 284 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_exponential_smoothing.py:254: FutureWarning: 'Q' is deprecated and will be removed in a future version, please use 'QE' instead. index = pd.date_range("1999-01-01", "2015-12-31", freq=QUARTER_END) tsa/tests/test_exponential_smoothing.py::test_hessian /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_exponential_smoothing.py:734: PrecisionWarning: Calculation of the Hessian using finite differences is usually subject to substantial approximation errors. fit.model.hessian( tsa/tests/test_exponential_smoothing.py::test_seasonal_order[heuristic] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/exponential_smoothing/ets.py:1432: RuntimeWarning: invalid value encountered in divide self.standardized_forecasts_error = ( base/tests/test_generic_methods.py::TestWaldAnovaRankDeficient::test_interaction_df_less_than_nominal base/tests/test_generic_methods.py::TestWaldAnovaRankDeficient::test_df_rank_adjusted /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/model.py:2269: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 4, but rank is 1 wt = result.wald_test(constraint, scalar=scalar) base/tests/test_generic_methods.py::TestWaldAnovaRankDeficient::test_df_rank_adjusted /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/base/tests/test_generic_methods.py:941: ValueWarning: covariance of constraints does not have full rank. The number of constraints is 4, but rank is 1 wt = res.wald_test(constraint, scalar=True) stats/tests/test_tost.py::test_tost_asym /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/stats/weightstats.py:1526: RuntimeWarning: invalid value encountered in log low = transform(low) tsa/stl/tests/test_stl.py::test_squezable_to_1d /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/stl/tests/test_stl.py:337: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. data = data.resample(MONTH_END).mean().ffill() tsa/stl/tests/test_stl.py::test_period_detection /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/stl/tests/test_stl.py:274: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. index = pd.date_range("1-1-1959", periods=348, freq=MONTH_END) tsa/base/tests/test_base.py::test_predict_freq /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/base/tests/test_base.py:49: FutureWarning: 'A-APR' is deprecated and will be removed in a future version, please use 'YE-APR' instead. dates = pd.date_range("1972-4-30", "2006-4-30", freq=YE_APR) tsa/base/tests/test_base.py::test_predict_freq /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/base/tests/test_base.py:62: FutureWarning: 'A-APR' is deprecated and will be removed in a future version, please use 'YE-APR' instead. expected_dates = pd.date_range("2006-4-30", "2016-4-30", freq=YE_APR) tsa/base/tests/test_base.py::test_keyerror_start_date /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/base/tests/test_base.py:71: FutureWarning: 'A-APR' is deprecated and will be removed in a future version, please use 'YE-APR' instead. dates = pd.date_range("1972-4-30", "2006-4-30", freq=YE_APR) duration/tests/test_phreg.py::TestPHReg::test_predict_formula /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/duration/tests/test_phreg.py:215: SpecificationWarning: PHReg formulas should not include any '0' or '1' terms model1 = PHReg.from_formula(fml, df, status=status) tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_k_factor1_factor_order_6 tsa/statespace/tests/test_dynamic_factor_mq.py::test_news_MQ tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_MQ[False] tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_MQ[True] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py:318: FutureWarning: 'Q' is deprecated and will be removed in a future version, please use 'QE' instead. log_levels_Q = log_levels_Q.resample(QUARTER_END).sum().iloc[:-1] * 100 tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/genmod/generalized_linear_model.py:962: RuntimeWarning: divide by zero encountered in scalar divide return np.sum(resid / self.family.variance(mu)) / self.df_resid tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/dynamic_factor_mq.py:2656: ConvergenceWarning: EM reached maximum number of iterations (2), without achieving convergence: llf=-23.123, convergence criterion=1.8362 (while specified tolerance was 1e-06) results = self.fit_em( tsa/tests/test_ar.py: 516 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:303: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. index = pd.date_range(dt.datetime(1999, 12, 31), periods=nobs, freq=MONTH_END) tsa/tests/test_ar.py: 126 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:53: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. idx = pd.date_range(dt.datetime(1900, 1, 1), freq=MONTH_END, periods=nobs) tsa/tests/test_ar.py: 25 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:1273: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. index = pd.date_range( tsa/tests/test_ar.py::test_ar_order_select /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:739: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. index=date_range(start=dt.datetime(1990, 1, 1), periods=100, freq=MONTH_END), tsa/tests/test_ar.py::test_forecast_start_end_equiv[True] tsa/tests/test_ar.py::test_forecast_start_end_equiv[False] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:997: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. y, index=pd.date_range(dt.datetime(1950, 1, 1), periods=1001, freq=MONTH_END) tsa/tests/test_ar.py::test_forecast_start_end_equiv[True] tsa/tests/test_ar.py::test_forecast_start_end_equiv[False] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:1002: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. dates = pd.date_range(dt.datetime(1950, 1, 1), periods=1021, freq=MONTH_END) tsa/tests/test_ar.py::test_predict_seasonal /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:875: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. index=pd.date_range(dt.datetime(1950, 1, 1), periods=1001, freq=MONTH_END), tsa/tests/test_ar.py::test_predict_seasonal /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:890: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. direct, index=pd.date_range(ys.index[900], periods=201, freq=MONTH_END) tsa/tests/test_ar.py::test_predict_seasonal /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:897: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. direct, index=pd.date_range(ys.index[900], periods=101, freq=MONTH_END) tsa/tests/test_ar.py::test_autoreg_resids /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:1078: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. idx = pd.date_range(dt.datetime(1900, 1, 1), periods=250, freq=MONTH_END) tsa/tests/test_ar.py::test_equiv_dynamic /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:826: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. idx = pd.date_range(dt.datetime(2000, 1, 30), periods=1001, freq=MONTH_END) tsa/tests/test_ar.py::test_predict_exog /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:912: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. index=pd.date_range(dt.datetime(1950, 1, 1), periods=1001, freq=MONTH_END), tsa/tests/test_ar.py::test_predict_exog /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:927: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. idx = pd.date_range(ys.index[900], periods=101, freq=MONTH_END) tsa/tests/test_ar.py::test_predict_exog /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:947: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. direct, index=pd.date_range(ys.index[900], periods=201, freq=MONTH_END) tsa/tests/test_ar.py::test_predict_irregular_ar /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:960: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. y, index=pd.date_range(dt.datetime(1950, 1, 1), periods=1001, freq=MONTH_END) tsa/tests/test_ar.py::test_predict_irregular_ar /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:976: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. direct, index=pd.date_range(ys.index[900], periods=201, freq=MONTH_END) tsa/tests/test_ar.py::test_predict_irregular_ar /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/tests/test_ar.py:982: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. idx = pd.date_range(ys.index[900], periods=101, freq=MONTH_END) tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[None-add-heuristic] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py:114: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. index = pd.date_range("2000-1-1", periods=y.shape[0], freq=MONTH_END) tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[trust-constr] /usr/lib/python3.14/site-packages/scipy/optimize/_differentiable_functions.py:385: UserWarning: delta_grad == 0.0. Check if the approximated function is linear. If the function is linear better results can be obtained by defining the Hessian as zero instead of using quasi-Newton approximations. self.H.update(self.x - self.x_prev, self.g - self.g_prev) tsa/holtwinters/tests/test_holtwinters.py::test_no_params_to_optimize /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py:857: EstimationWarning: Model has no free parameters to estimate. Set optimized=False to suppress this warning mod.fit(smoothing_level=0.5) tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[TNC] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/holtwinters/model.py:1065: ConvergenceWarning: Optimization failed to converge. Check mle_retvals. res = self._optimize_parameters(res, use_brute, method, minimize_kwargs) tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index_types[date_range] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/holtwinters/tests/test_holtwinters.py:2017: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. index = pd.date_range("2000-1-1", periods=nobs + 36, freq=MONTH_END) tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt_damp_r /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/holtwinters/model.py:1700: EstimationWarning: Model has no free parameters to estimate. Set optimized=False to suppress this warning return super().fit( tsa/statespace/tests/test_multivariate_switch_univariate.py: 60 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py:171: OutputWarning: The univariate filtering approach diagonalized the observation covariance matrix, so `smoothed_measurement_disturbance_cov` describes the transformed disturbances C_t^{-1} eps_t rather than eps_t. `smoothed_measurement_disturbance` is unaffected. res_switch.update_smoother(smoother) tsa/stl/tests/test_mstl.py::test_number_of_seasonal_components[data-periods2-None-2] tsa/stl/tests/test_mstl.py::test_output_invariant_to_period_order[data-periods_ordered1-windows_ordered1-periods_not_ordered1-windows_not_ordered1] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/stl/mstl.py:125: UserWarning: A period(s) is larger than half the length of time series. Removing these period(s). self.periods, self.windows = self._process_periods_and_windows(periods, windows) tsa/forecasting/tests/test_theta.py::test_plot_predict /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/forecasting/theta.py:686: UserWarning: No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. ax.legend(loc="best", frameon=False) tsa/forecasting/tests/test_stl.py::test_equivalence_forecast[7-ETSModel] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/forecasting/tests/test_stl.py:25: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. index = pd.date_range("1980-1-1", freq=MONTH_END, periods=500) regression/tests/test_dimred.py::test_covreduce /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/regression/tests/test_dimred.py:213: ConvergenceWarning: CovReduce optimization did not converge, |g|=1.287955 rslt = cr.fit() tsa/statespace/tests/test_dynamic_factor_mq.py: 10 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py:434: FutureWarning: 'Q' is deprecated and will be removed in a future version, please use 'QE' instead. log_levels_Q = log_levels_Q.resample(QUARTER_END).sum().iloc[:-1] * 100 tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[M-QS-APR] tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[M-QS-DEC] tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[M-Q] tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[M-QS] tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[M-Q-DEC] tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[M-Q-JAN] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py:1581: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. dates_M = pd.date_range(start="2000", periods=nobs_M, freq=freq_M) tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[M-Q] tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[MS-Q] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py:1589: FutureWarning: 'Q' is deprecated and will be removed in a future version, please use 'QE' instead. dates_Q = pd.date_range(start="2000", periods=nobs_Q, freq=freq_Q) tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[MS-Q-DEC] tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[M-Q-DEC] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py:1589: FutureWarning: 'Q-DEC' is deprecated and will be removed in a future version, please use 'QE-DEC' instead. dates_Q = pd.date_range(start="2000", periods=nobs_Q, freq=freq_Q) tsa/statespace/tests/test_dynamic_factor_mq.py::test_invalid_model_specification /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py:1445: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. dta, index=pd.date_range(start="2000", periods=10, freq=MONTH_END) tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[MS-Q-JAN] tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[M-Q-JAN] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py:1589: FutureWarning: 'Q-JAN' is deprecated and will be removed in a future version, please use 'QE-JAN' instead. dates_Q = pd.date_range(start="2000", periods=nobs_Q, freq=freq_Q) tsa/statespace/tests/test_dynamic_factor_mq.py::test_filter_reproduces_model_loglike /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/dynamic_factor_mq.py:2436: ConvergenceWarning: EM reached maximum number of iterations (5), without achieving convergence: llf=-187.98, convergence criterion=0.0042566 (while specified tolerance was 1e-06) return self.fit_em( stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-10] stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-15] stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-06] stats/tests/test_corrpsd.py::test_corrpsd_threshold[0] /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/stats/tests/test_corrpsd.py:377: IterationLimitWarning: Maximum iteration reached. y = corr_nearest(x, n_fact=100, threshold=threshold) stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-10] stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-15] stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-06] stats/tests/test_corrpsd.py::test_corrpsd_threshold[0] stats/tests/test_corrpsd.py::TestCovPSD::test_cov_nearest /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/stats/correlation_tools.py:291: IterationLimitWarning: Maximum iteration reached. corr_ = corr_nearest(cov_, threshold=threshold, n_fact=n_fact) stats/tests/test_corrpsd.py::TestCorrPSD1::test_nearest /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/stats/tests/test_corrpsd.py:226: IterationLimitWarning: Maximum iteration reached. y = corr_nearest(x, threshold=1e-7, n_fact=100) tsa/filters/tests/test_filters.py::test_bking_pandas /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/filters/tests/test_filters.py:867: FutureWarning: 'Q' is deprecated and will be removed in a future version, please use 'QE' instead. index = date_range(start="1959-01-01", end="2009-10-01", freq=QUARTER_END) tsa/filters/tests/test_filters.py::test_cfitz_pandas /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/filters/tests/test_filters.py:888: FutureWarning: 'Q' is deprecated and will be removed in a future version, please use 'QE' instead. index = date_range(start="1959-01-01", end="2009-10-01", freq=QUARTER_END) tsa/filters/tests/test_filters.py::test_hpfilter_pandas /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/filters/tests/test_filters.py:908: FutureWarning: 'Q' is deprecated and will be removed in a future version, please use 'QE' instead. index = date_range(start="1959-01-01", end="2009-10-01", freq=QUARTER_END) tsa/filters/tests/test_filters.py::TestFilters::test_pandas2d /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/filters/tests/test_filters.py:957: FutureWarning: 'Q' is deprecated and will be removed in a future version, please use 'QE' instead. data, date_range(start="1/1/1951", periods=len(data), freq=QUARTER_END) tsa/filters/tests/test_filters.py::TestFilters::test_pandas2d /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/filters/tests/test_filters.py:961: FutureWarning: 'Q' is deprecated and will be removed in a future version, please use 'QE' instead. data, date_range(start="1/1/1951", periods=len(data), freq=QUARTER_END) tsa/statespace/tests/test_simulate.py::test_pandas_multivariate_dateindex_repetitions /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_simulate.py:2047: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. ix = pd.date_range(start="2000", periods=2, freq=MONTH_END) tsa/statespace/tests/test_simulate.py::test_pandas_multivariate_dateindex_repetitions /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_simulate.py:2069: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. ix = pd.date_range(start="2000-03", periods=2, freq=MONTH_END) tsa/statespace/tests/test_simulate.py::test_pandas_univariate_dateindex /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_simulate.py:1921: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. ix = pd.date_range(start="2000", periods=2, freq=MONTH_END) tsa/statespace/tests/test_simulate.py::test_pandas_univariate_dateindex /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_simulate.py:1928: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. ix = pd.date_range(start="2000-01", periods=2, freq=MONTH_END) tsa/statespace/tests/test_simulate.py::test_pandas_univariate_dateindex /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_simulate.py:1937: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. ix = pd.date_range(start="2000-03", periods=2, freq=MONTH_END) tsa/statespace/tests/test_simulate.py::test_pandas_univariate_dateindex_repetitions /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_simulate.py:1944: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. ix = pd.date_range(start="2000", periods=2, freq=MONTH_END) tsa/statespace/tests/test_simulate.py::test_pandas_univariate_dateindex_repetitions /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_simulate.py:1953: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. ix = pd.date_range(start="2000-01", periods=2, freq=MONTH_END) tsa/statespace/tests/test_simulate.py::test_pandas_univariate_dateindex_repetitions /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_simulate.py:1963: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. ix = pd.date_range(start="2000-03", periods=2, freq=MONTH_END) tsa/statespace/tests/test_simulate.py::test_pandas_multivariate_dateindex /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_simulate.py:2025: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. ix = pd.date_range(start="2000", periods=2, freq=MONTH_END) tsa/statespace/tests/test_simulate.py::test_pandas_multivariate_dateindex /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_simulate.py:2039: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. ix = pd.date_range(start="2000-03", periods=2, freq=MONTH_END) tsa/statespace/tests/test_simulate.py::test_pandas_anchor /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/statespace/tests/test_simulate.py:2079: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. ix = pd.date_range(start="2000", periods=2, freq=MONTH_END) tsa/vector_ar/tests/test_svar.py: 46 warnings /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/statsmodels/tsa/vector_ar/svar_model.py:459: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals super() -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html - generated xml file: /startdir/src/statsmodels/test-env/lib/python3.14/site-packages/test-data.xml - ============================= slowest 30 durations ============================= 29.69s call stats/tests/test_knockoff.py::test_sim[tester3-3000-200-3.5-equi] 13.72s call tsa/vector_ar/tests/test_var.py::test_irf_err_bands 12.54s call graphics/tests/test_functional.py::test_hdr_multiple_alpha 11.46s call emplike/tests/test_regression.py::TestRegressionPowell::test_ci_beta0 10.89s call tsa/tests/test_stattools.py::TestZivotAndrews::test_rand10000_case 10.32s call tests/test_package.py::test_lazy_imports 10.31s call stats/tests/test_mediation.py::test_framing_example_formula 10.30s call graphics/tests/test_functional.py::test_hdr_threshold 8.30s call graphics/tests/test_functional.py::test_hdr_alpha 7.41s call regression/tests/test_processreg.py::test_formulas[True] 7.26s call tsa/statespace/tests/test_sarimax.py::test_concentrated_scale 7.09s call graphics/tests/test_functional.py::test_hdr_plot 6.84s call stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_sparse[2] 6.34s call tsa/holtwinters/tests/test_holtwinters.py::test_start_params[mul-mul] 6.08s call emplike/tests/test_regression.py::TestRegressionPowell::test_ci_beta2 5.94s setup discrete/tests/test_truncated_model.py::TestHurdleL1Compatibility::test_params 5.71s call graphics/tests/test_functional.py::test_hdr_ncomp 5.53s call graphics/tests/test_functional.py::test_hdr_bw 5.45s call tsa/tests/test_exponential_smoothing.py::test_prediction_results_slow_AAN 5.26s call tests/test_package.py::test_docstring_optimization_compat 5.20s call stats/tests/test_mediation.py::test_framing_example_moderator_formula 5.08s call stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_sparse[1] 5.03s call graphics/tests/test_functional.py::test_hdr_basic_brute 5.02s call emplike/tests/test_regression.py::TestRegressionPowell::test_ci_beta1 4.99s call tsa/tests/test_exponential_smoothing.py::test_prediction_results_slow_AAdA 4.91s call graphics/tests/test_functional.py::test_hdr_basic 4.80s call regression/tests/test_lme.py::test_random_effects_getters 4.49s call gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_select_alpha 4.43s call base/tests/test_distributed_estimation.py::test_fit_joblib 4.32s call gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_select_alpha =========================== short test summary info ============================ FAILED statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period11] - KeyError: 'QE' FAILED statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period7] - KeyError: 'ME' FAILED statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period12] - KeyError: 'ME' FAILED statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period9] - KeyError: 'ME' FAILED statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period9] - KeyError: 'ME' FAILED statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period11] - KeyError: 'QE' FAILED statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period7] - KeyError: 'ME' FAILED statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period12] - KeyError: 'ME' FAILED statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period7] - KeyError: 'ME' FAILED statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period11] - KeyError: 'QE' FAILED statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period12] - KeyError: 'ME' FAILED statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period9] - KeyError: 'ME' FAILED statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonal_period_a - KeyError: 'ME' FAILED statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonal_period_q - KeyError: 'ME' = 14 failed, 20858 passed, 365 skipped, 145 xfailed, 111876 warnings in 843.63s (0:14:03) = ==> ERROR: A failure occurred in check(). Aborting... ==> ERROR: Build failed, check /home/alhp/workspace/chroot/build_71cd88b0-9484-420c-80a5-fcc6ac8e7e95/build