[dgit import tarball statsmodels 0.14.2+dfsg-1 statsmodels_0.14.2+dfsg-1.debian.tar.xz]
--- /dev/null
+This repository includes the upstream Git history.
+
+Setting up the second remote (once per clone):
+git remote add upstream https://github.com/statsmodels/statsmodels
+
+Importing a new upstream version:
+git fetch upstream
+gbp import-orig --upstream-branch=upstreamtarballs --uscan --pristine-tar "--upstream-vcs-tag=v%(version)s" --debian-branch=main
+
+Remember that the source package the buildds see isn't a Git repo:
+we (unlike upstream) can't use git as a clean command during the build.
--- /dev/null
+statsmodels (0.14.2+dfsg-1) unstable; urgency=medium
+
+ * New upstream release. (Closes: #1056891)
+ * Refresh patches, d/copyright, dependencies.
+ * Bump Standards-Version to 4.7.0 (no changes needed).
+ * Tests: increase i386 TestMixedLM.test_compare_numdiff tolerance,
+ remove no longer needed check script.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sun, 21 Apr 2024 20:55:32 +0100
+
+statsmodels (0.14.1+dfsg-2) unstable; urgency=medium
+
+ * Tests: ignore DynamicFactorMQ exception on big-endian systems.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sun, 21 Jan 2024 09:38:29 +0000
+
+statsmodels (0.14.1+dfsg-1) unstable; urgency=medium
+
+ * Upstream bugfix release. Drop patch no longer needed.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sat, 20 Jan 2024 13:41:10 +0000
+
+statsmodels (0.14.0+dfsg-6) unstable; urgency=medium
+
+ * Fix another issue with Cython 3.0. As one still remains,
+ use cython3-legacy (workaround for #1056891).
+ * Tests: properly ignore i386 nonconvergence.
+ * Docs reproducibility: fix another random seed.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Tue, 12 Dec 2023 20:07:17 +0000
+
+statsmodels (0.14.0+dfsg-5) unstable; urgency=medium
+
+ * Allow building with Cython 3.0 (Closes: LP: #2043284) and cp 9.2.
+ * Docs reproducibility: strip object addresses, fix random seeds.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sat, 11 Nov 2023 20:34:28 +0000
+
+statsmodels (0.14.0+dfsg-4) unstable; urgency=medium
+
+ * clean: remove all generated files. (Closes: #1047280)
+ * Stop build-depending on python3-setuptools-scm-git-archive.
+ (Closes: #1050104)
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sat, 19 Aug 2023 21:59:16 +0100
+
+statsmodels (0.14.0+dfsg-3) unstable; urgency=medium
+
+ * Tests: fix bugs in the preceding exclusions.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Fri, 04 Aug 2023 18:42:09 +0100
+
+statsmodels (0.14.0+dfsg-2) unstable; urgency=medium
+
+ * Tests: ignore out-of-memory error.
+ * Tests: ignore armel's lack of division-by-0 warnings and
+ corr_nearest_factor non-convergence, but not all the armel tests.
+ * Tests: ignore mips*'s extra multiply-by-NaN warnings.
+ * Tests: ignore i386 probable rounding/instability/overflow issues.
+ * Upload to unstable.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Thu, 03 Aug 2023 22:28:34 +0100
+
+statsmodels (0.14.0+dfsg-1) experimental; urgency=medium
+
+ * New upstream release. Drop/refresh patches, d/copyright.
+ * Upload to experimental, as of unknown compatibility.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sun, 23 Jul 2023 12:01:09 +0100
+
+statsmodels (0.13.5+dfsg-7) unstable; urgency=medium
+
+ * Tests: relax a tolerance to avoid randomly failing on s390x.
+ * Docs: fix broken link.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Tue, 14 Feb 2023 22:28:59 +0000
+
+statsmodels (0.13.5+dfsg-6) unstable; urgency=medium
+
+ * Tests: ignore a non-convergence on mipsel.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sat, 04 Feb 2023 20:49:19 +0000
+
+statsmodels (0.13.5+dfsg-5) unstable; urgency=medium
+
+ * Tests: don't crash on 32-bit systems. (Closes: #1030208)
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Wed, 01 Feb 2023 21:31:58 +0000
+
+statsmodels (0.13.5+dfsg-4) unstable; urgency=medium
+
+ * Tests: fix missing import.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Wed, 11 Jan 2023 23:51:04 +0000
+
+statsmodels (0.13.5+dfsg-3) unstable; urgency=medium
+
+ * Tests: depend on jinja2, reduce random failures,
+ ignore a non-warning on mips*.
+ * Don't try to load intersphinx links from python-numpy-doc,
+ as it no longer exists.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Wed, 11 Jan 2023 19:32:55 +0000
+
+statsmodels (0.13.5+dfsg-2) unstable; urgency=medium
+
+ * Don't try to load intersphinx links from python-matplotlib-doc,
+ as it no longer exists. (Closes: #1027537)
+ * Bump Standards-Version to 4.6.2 (no changes needed).
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Thu, 05 Jan 2023 20:34:52 +0000
+
+statsmodels (0.13.5+dfsg-1) unstable; urgency=medium
+
+ * Upstream bugfix release. Drop / refresh patches, d/copyright.
+ * Update Build-Depends.
+ * Bump Standards-Version to 4.6.1 (no changes needed).
+ * Tests: remove xfails that appear to no longer be needed.
+ * Tests: loosen tolerance on TestDynamicFactor_ar2_errors as it
+ appears to be unstable. (Closes: #1020060, #1014278)
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Wed, 30 Nov 2022 21:29:37 +0000
+
+statsmodels (0.13.2+dfsg-4) unstable; urgency=medium
+
+ * Tests: increase one error tolerance. (Closes: #1014884)
+ * Update Lintian override format (see #1007002).
+ * Remove no longer needed Lintian / Salsa CI overrides.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sun, 24 Jul 2022 17:51:07 +0100
+
+statsmodels (0.13.2+dfsg-3) unstable; urgency=medium
+
+ * Add s390x to DynamicFactor warning/xfail (workaround for #1014278).
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sat, 09 Jul 2022 11:15:30 +0100
+
+statsmodels (0.13.2+dfsg-2) unstable; urgency=medium
+
+ * Tests: ignore a probable rounding issue. (Closes: #1008301)
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sun, 27 Mar 2022 12:20:47 +0100
+
+statsmodels (0.13.2+dfsg-1) unstable; urgency=medium
+
+ * Upstream bugfix release. Refresh patches.
+ * Enable Salsa CI.
+ * Warn that ETSModel may give wrong results on 32-bit and xfail test.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sun, 20 Feb 2022 20:03:58 +0000
+
+statsmodels (0.13.1+dfsg-5) unstable; urgency=medium
+
+ * Warn on import and ignore (crashing) tests on armel (see #968210).
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sun, 06 Feb 2022 19:08:08 +0000
+
+statsmodels (0.13.1+dfsg-4) unstable; urgency=medium
+
+ * Warn that DynamicFactor may give wrong results on armhf
+ and xfail tests.
+ * Update Lintian overrides.
+ * Fix pyversions call.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sat, 05 Feb 2022 17:46:33 +0000
+
+statsmodels (0.13.1+dfsg-3) unstable; urgency=medium
+
+ * Warn on import and ignore (crashing) tests on mips64el,
+ and not on armel (see #968210).
+ * Remove obsolete rules code and nose test-depends.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Fri, 17 Dec 2021 22:32:59 +0000
+
+statsmodels (0.13.1+dfsg-2) unstable; urgency=medium
+
+ * Docs: use *_path and symlinks for local JavaScript,
+ instead of (broken by CORS) sed replacements.
+ * Xfail another possible rounding issue on i386.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Mon, 29 Nov 2021 22:05:33 +0000
+
+statsmodels (0.13.1+dfsg-1) unstable; urgency=medium
+
+ * New upstream release. Drop / refresh patches.
+ * Update watch file.
+ * Update d/copyright, exclude possibly illegal data file.
+ * Xfail some probable rounding issues. Closes: #997081.
+ * Docs: update MathJax URL replacement.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sun, 28 Nov 2021 16:30:27 +0000
+
+statsmodels (0.12.2-2) unstable; urgency=medium
+
+ * Fix test failures with scipy 1.7. Closes: #992681.
+ * README.source: update upstream branch name.
+ * Bump Standards-Version to 4.6.0 (no changes needed).
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sun, 29 Aug 2021 20:09:28 +0100
+
+statsmodels (0.12.2-1) unstable; urgency=medium
+
+ * Upstream bugfix release. Drop / refresh patches.
+ * Don't use the multiarch path for architecture detection. Closes: #973854.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sat, 06 Feb 2021 16:48:16 +0000
+
+statsmodels (0.12.1-2) unstable; urgency=medium
+
+ * Team upload.
+ * debian patch scipy_1.6_test_bytestring.patch uses string rather
+ than bytes in expected message with scipy 1.6 in test_arma_kwargs
+ (test_gls.py)
+ * Standards-Version: 4.5.1
+
+ -- Drew Parsons <dparsons@debian.org> Mon, 18 Jan 2021 01:02:15 +1100
+
+statsmodels (0.12.1-1) unstable; urgency=medium
+
+ * Upstream bugfix release.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Thu, 05 Nov 2020 07:28:38 +0000
+
+statsmodels (0.12.0-2) unstable; urgency=medium
+
+ * Loosen some test tolerances on i386.
+ * Require scipy >= 1.5 to avoid autopkgtest failure.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Fri, 11 Sep 2020 07:24:40 +0100
+
+statsmodels (0.12.0-1) unstable; urgency=medium
+
+ * New upstream release. Drop / refresh patches.
+ * Update d/copyright.
+ * Stop using pytest-forked everywhere: it doesn't fully
+ handle conditional xfails.
+ * Skip slow autopkgtests on non-amd64.
+ * On armel, warn on import and ignore all tests (see #968210).
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Tue, 08 Sep 2020 18:35:08 +0100
+
+statsmodels (0.11.1-5) unstable; urgency=medium
+
+ * Ignore test failures on arm* (see #968210).
+ * Use pytest-forked in case there are more crashing tests.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sun, 16 Aug 2020 19:00:44 +0100
+
+statsmodels (0.11.1-4) unstable; urgency=medium
+
+ * Tests: ignore changes due to matplotlib 3.3 and scipy 1.5.
+ Closes: #966712.
+ * Bump debhelper compat to 13.
+ * Override Lintian warning from test references.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sun, 09 Aug 2020 22:12:11 +0100
+
+statsmodels (0.11.1-3) unstable; urgency=medium
+
+ * Tests: ignore harmless new warnings. Closes: #964700.
+ * Add matplotlib etc to autopkgtest Depends to skip fewer tests.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Fri, 10 Jul 2020 06:46:36 +0100
+
+statsmodels (0.11.1-2) unstable; urgency=medium
+
+ * Tests: don't require a numpy warning that doesn't exist on armel.
+ Closes: #956882.
+ * Tests: allow no-multiprocessing failures (hurd-i386).
+ * Remove inconveniently licensed (CC-BY-SA) snippet.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Fri, 24 Apr 2020 15:17:04 +0100
+
+statsmodels (0.11.1-1) unstable; urgency=medium
+
+ * Upstream bugfix release.
+ * Drop patches applied upstream, refresh others.
+ * Don't require a warning scipy only produces on some architectures.
+ * Warn that Markov(Auto)regression can give wrong answers on armhf
+ and DynamicFactor on ppc64el, and xfail tests.
+ * Upload to unstable. Closes: #950429.
+ * Re-enable checking the test suite.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Mon, 24 Feb 2020 22:49:06 +0000
+
+statsmodels (0.11.0-1) experimental; urgency=medium
+
+ * New upstream release.
+ * Upload to experimental, as this is an API break (see #950429).
+ * Drop patches applied upstream, refresh others.
+ * Update and sort dependencies.
+ * Docs: use nature theme because we don't have sphinx_material,
+ remove obsolete GLMNotes,
+ don't skip unrunnable examples.
+ * Update and sort d/copyright.
+ * Fix some test failures (that were not real problems).
+ * Use local requirejs.
+ * Fix spelling and whitespace.
+ * Reproducibility: remove more build paths.
+ * Loosen tolerance on another flaky test.
+ * Temporarily ignore the test suite to get a first build.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sun, 02 Feb 2020 21:51:06 +0000
+
+statsmodels (0.10.2-2) unstable; urgency=medium
+
+ * Docs: don't fail the build on no-network exceptions. Closes: #950087.
+ * Remove #945501 cleanup code: not worth the risk in (future) stable.
+ * Bump Standards-Version to 4.5.0 (no changes needed).
+ * Include offset and exposure in GEE fittedvalues (upstream bug 5253).
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Tue, 28 Jan 2020 22:29:29 +0000
+
+statsmodels (0.10.2-1) unstable; urgency=medium
+
+ * New upstream release.
+ * Drop patches applied upstream, refresh others.
+ * Use symlink_to_dir for documentation move,
+ and clean up old files. Closes: #945501.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Tue, 03 Dec 2019 21:23:04 +0000
+
+statsmodels (0.10.1-5) unstable; urgency=medium
+
+ * No-change upload to unstable. Closes: #934870, #931540.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sun, 10 Nov 2019 16:32:41 +0000
+
+statsmodels (0.10.1-4) experimental; urgency=medium
+
+ * Xfail another actual failure
+ and a few other similar tests as #924036.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sat, 09 Nov 2019 22:31:23 +0000
+
+statsmodels (0.10.1-3) experimental; urgency=medium
+
+ * Xfail another (intermittent?) instance of #924036.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sat, 09 Nov 2019 09:51:35 +0000
+
+statsmodels (0.10.1-2) experimental; urgency=medium
+
+ * Fail the build on test failures.
+ * Xfail or loosen tolerances on some tests.
+ Together, the above Closes: #944054.
+ * Use correct Python version for test_lazy_imports.
+ * Xfail more tests affected by #924036.
+ * Documentation build: fix errors loading pre-cached data,
+ load autosummary.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Fri, 08 Nov 2019 22:27:02 +0000
+
+statsmodels (0.10.1-1) experimental; urgency=medium
+
+ * New upstream release.
+ * Upload to experimental, as this might be an API break
+ (see #931540).
+ * Simplify gbp.conf, import both tarball and upstream git,
+ and document this in README.source.
+ * Drop patches no longer needed, refresh others.
+ * Don't map r-cran-cardata to car: upstream now use the new name.
+ * Drop Python 2 packages (see #934870).
+ * Use Python 3 shebangs.
+ * Don't use setup.py clean, as upstream have disabled it.
+ * Use http(s)_proxy instead of a patch to block test downloads.
+ * Run build-time tests with the paths they expect.
+ * Update d/copyright.
+ * Don't install setup.cfg.
+ * Don't write to the source tree during tests.
+ * Bump Standards-Version to 4.4.1 (no changes needed).
+ * Reproducibility: fix date replacement bug, use UTC time.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sat, 02 Nov 2019 16:56:50 +0000
+
+statsmodels (0.9.0-6) unstable; urgency=medium
+
+ * Don't change global pickle settings,
+ as this can break unrelated code.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Fri, 20 Sep 2019 19:23:49 +0100
+
+statsmodels (0.9.0-5) unstable; urgency=medium
+
+ * Update import paths to be compatible with scipy 1.3.
+ * Xfail another KalmanFilter test on armhf (#924036).
+ * Mark -lib packages Multi-Arch: same.
+ * Delete unused patches, document patches upstream status.
+ * Upload to unstable.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sun, 15 Sep 2019 21:50:15 +0100
+
+statsmodels (0.9.0-4) experimental; urgency=medium
+
+ * Loosen singularity detection threshold of VAR model.
+ * Make KalmanFilter warning (#924036) work on multiarch arm64/armhf
+ and xfail some more related tests.
+ * Adapt TestLagmat.test_unknown_trim to work with newer numpy.
+ * Loosen TestMultivariateVARUnivariate tolerances on i386.
+ * Xfail TestHoltWinters.test_forecast (like upstream).
+ Together, the above Closes: #938949.
+ * Use Breaks+Replaces for examples move to -doc. Closes: #938995.
+ * Remove no longer needed s390x xfails/warning.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sat, 14 Sep 2019 10:38:33 +0100
+
+statsmodels (0.9.0-3) experimental; urgency=medium
+
+ * Upload to experimental, as 0.9 is an API break (see #931540).
+ * Merge 0.8.0-9 packaging into 0.9. Drop patches no longer needed,
+ refresh others.
+ * Revert "Disable KalmanFilter on armhf" as it never actually
+ worked (see #924036 / LP#1819227). Instead,
+ warn on use and xfail the tests.
+ * Add self to Uploaders.
+ * Tests now use pytest: add build-dependencies, adapt autopkgtest.
+ * Remove test skips that are no longer needed.
+ * Change s390x test skips to xfails (to check whether they are
+ still needed), and warn if l1_cvxopt_cp is used on s390x.
+ * Fix issues due to newer versions of dependencies:
+ - AnovaRM column order
+ - various issues within test code
+ * Fix midrule bug in LaTeX summary output.
+ * Clean up stray whitespace.
+ * Fix typos.
+ * Clarify -lib description.
+ * Use https in links, and update Homepage.
+ * Update and sort d/copyright.
+ * Bump Standards-Version to 4.4.0 (no changes needed).
+ * Give a more useful error if cvxopt is not available.
+ * Use debhelper-compat.
+ * Move examples to the -doc package.
+ * Remove obsolete symlink, add symlinks to ease finding docs.
+ * Strip timestamps and build paths for reproducibility.
+ * Deduplicate documentation images.
+ * Fix/improve nocheck/nodoc dependency marking.
+ * Categorize build-dependencies.
+ * Make -doc Suggest the Python 3 version.
+ * Run the R-using examples.
+ * Use data from R packages for building examples, instead of
+ embedding a copy. Modify one example to not need r-cran-count.
+ * Set Rules-Requires-Root: no.
+ * Remove outdated cythonized-files.
+ * Don't use pickle for get_rdataset caching, as it is a security hole
+ if the cache is shared. (This invalidates existing cached data;
+ it will automatically be re-downloaded if needed.)
+ * Warn that load_pickle is for trusted files only.
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Fri, 30 Aug 2019 07:48:41 +0100
+
+statsmodels (0.8.0-9) unstable; urgency=medium
+
+ * Team upload.
+ * Disable KalmanFilter on armhf, as it gives wrong results
+ (and probably always has).
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Sat, 02 Mar 2019 14:59:35 +0000
+
+statsmodels (0.8.0-8) unstable; urgency=medium
+
+ * Team upload.
+ * Remove outdated information from description.
+ * Use sphinx.ext.mathjax rather than no-longer-existing pngmath.
+ This also fixes equation display Closes: #687301
+ * Fix spelling.
+ * Fix remote -> local requirejs substitution.
+ * Use text instead of fetching a logo.
+ * Make dataset caching work in Python 3.
+ * Extend use_cached_datasets to build more of the examples.
+ * Fix path and data layout exceptions in examples.
+ * Re-enable build-time tests, and clean up files they leave behind.
+ * Use upstream tests as autopkgtest.
+ * Move metadata to d/u/metadata, update and extend it.
+ * Update d/copyright.
+ * Fix exceptions due to newer versions of dependencies:
+ - "no attribute 'chisqprob'" in discrete_model
+ - "shape mismatch...could not be broadcast" in imputation
+ - "ufunc 'gammaln' not supported" in discrete_model
+ - "object arrays are not supported" in tsa.statespace
+ - "module 'pandas' has no attribute 'ols'" in tsa.vector_ar
+ - various IndexErrors in KaplanMeier Closes: #860449
+ - "unexpected keyword argument 'format'" in datasets.co2
+ - UnicodeDecodeError in parse_lutkepohl_data
+ - various issues within test and example code
+ * Backport the following from experimental:
+
+ [ Julian Taylor ]
+ * Use python3 also for fold_toc.py
+ * Use fixed locale for documentation build
+
+ [ Andreas Tille ]
+ * hardening=+all
+ * Use libjs-mathjax
+ * Extend description of -doc package
+ * Remove matplotlib.sphinxext.only_directives option which is
+ not used. Closes: #917754
+ * Do not try to access remote locations on buildtime test
+ Closes: #882641
+
+ -- Rebecca N. Palmer <rebecca_palmer@zoho.com> Fri, 01 Mar 2019 22:49:09 +0000
+
+statsmodels (0.9.0-2) experimental; urgency=medium
+
+ * Team upload.
+ * Version 0.9 closes: #880245
+ * Remove matplotlib.sphinxext.only_directives option which is not used
+ Closes: #917754
+ * Do not try to access remote locations on buildtime test
+ Closes: #882641
+ * debhelper 12
+
+ -- Andreas Tille <tille@debian.org> Wed, 13 Feb 2019 09:27:21 +0100
+
+statsmodels (0.9.0-1) experimental; urgency=medium
+
+ [ Andreas Tille ]
+ * Team upload.
+ * Fix watch file (do not report development tags)
+ * debhelper 11
+ * Standards-Version: 4.2.1
+ * New Build-Depends / Recommends: python*-colorama
+ * Drop useless get-orig-source target
+ * Fix permissions
+ * hardening=+all
+ * Use libjs-mathjax
+
+ [ Julian Taylor ]
+ * adapt use-python3-for-doc-build to also use python3 for fold_toc.py
+
+ -- Andreas Tille <tille@debian.org> Sun, 28 Oct 2018 18:56:40 +0100
+
+statsmodels (0.8.0-7) unstable; urgency=medium
+
+ * Team upload
+ * Use pybuild --print build_dir to fix FTBFS with
+ dh-python >= 3.20180313 (Closes: #894572)
+ * Update Vcs-* URIs for move to salsa.debian.org
+ * Remove ancient Python version fields
+
+ -- Graham Inggs <ginggs@debian.org> Wed, 27 Jun 2018 17:02:07 +0000
+
+statsmodels (0.8.0-6) unstable; urgency=medium
+
+ * Build the architecture dependent files before building documentation
+ * Add myself to uploaders.
+
+ -- Diane Trout <diane@ghic.org> Fri, 29 Sep 2017 22:17:33 -0700
+
+statsmodels (0.8.0-5) unstable; urgency=medium
+
+ * Team Upload
+
+ [ Diane Trout ]
+ * add sphinx-common to Build-Depends which fixes a FTBFS caused by
+ Sphinxdoc.pm not being present when building binary only packages.
+ * Split dh_auto_build-arch and dh_auto_build-indep targets so we only
+ build the docs once.
+
+ -- Diane Trout <diane@ghic.org> Fri, 29 Sep 2017 16:48:20 -0700
+
+statsmodels (0.8.0-4) unstable; urgency=medium
+
+ * Team upload
+
+ [ Diane Trout ]
+ * Add python-dateutil, patsy, tk as build depends
+ Marking nose & tk as !nocheck
+ * Add Python3 support
+ (Closes: #729956) (Closes: #782963) (Closes: #834495)
+ * Update Python 3 build depends, add components necessary to build
+ notebook examples
+ * Lintian warned that Conflicts with version should probably be Breaks
+ * Add use-system-inventory patch to use intersphinx inventory files from
+ other Debian doc packages.
+ Added those packages to the -doc package suggests list
+ * Let dh_sphinxdoc manage jquery dependencies.
+ Add libjs-requirejs for building notebooks.
+ * Use Python 3 for documentation building, and enable building notebook
+ examples as jupyter components are now available in stable.
+ * Extend a python3-statsmodels-lib description to make lintian happier
+ * Cleanup more files that might be generated during build
+ * Exclude test_sarimax test_structural test_dynamic_factor test_varmax
+ from unit testing
+ Closes: #873512
+ * add patch use-cached-datasets, and cache all of the get_rdataset
+ datasets in debian/datasets/. This is needed so the documentation will
+ build without network access.
+ * Document data files needed for documentation in debian/README.source
+
+ [ Andreas Tille ]
+ * Standards-Version: 4.1.0 (no changes needed)
+ * Add remark about documenting R data to debian/README.source
+ * Updating d/copyright
+ * DEP3
+
+ -- Diane Trout <diane@ghic.org> Tue, 26 Sep 2017 23:55:47 -0700
+
+statsmodels (0.8.0-3) unstable; urgency=medium
+
+ * Team upload.
+ * d/rules: do not run the testsuite when only building arch:all packages.
+ (Closes: #872603)
+ * d/copyright: use https form for the copyright-format URL.
+ * d/control:
+ + promote the package to priority optional, per policy 4.0.1.
+ + bump Standards-Version to 4.0.1.
+
+ -- Sébastien Villemot <sebastien@debian.org> Sat, 19 Aug 2017 11:42:08 +0200
+
+statsmodels (0.8.0-2) unstable; urgency=medium
+
+ * Team upload.
+
+ [ Sébastien Villemot ]
+ * Upload to unstable
+ * d/rules: fix logic of {build,binary}-indep for building doc.
+ * d/control:
+ + add missing build-dependency on dh-python.
+ + promote python-pandas to a Depends. It is really needed if one wants to
+ import statsmodels (and otherwise autopkgtest fails).
+
+ [ Andreas Tille ]
+ * d/p/skip_tests_failing_due_to_panda_issue.patch: new patch, removes tests
+ from test suite that fail because of pandas and can not easily be fixed.
+ * d/p/fix_numdocpy_issue.patch: new patch, fixes other issue with numpydoc.
+ (Closes: #868977)
+
+ [ Yaroslav Halchenko ]
+ * Bump to debhelper compat level 9.
+
+ -- Sébastien Villemot <sebastien@debian.org> Fri, 18 Aug 2017 22:40:39 +0200
+
+statsmodels (0.8.0-1) experimental; urgency=medium
+
+ * Fresh upstream release resolving various compatibility issues etc
+ - absborbs some of previously carried patches (dropped from quilt):
+ fix_wrong_index_type.patch
+ workaround_panda_readtable_bug.patch
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Wed, 08 Feb 2017 13:08:38 -0500
+
+statsmodels (0.8.0~rc1+git59-gef47cd9-5) unstable; urgency=medium
+
+ * Team upload.
+ * Fix test skipping for s390
+
+ -- Ole Streicher <olebole@debian.org> Mon, 26 Dec 2016 18:33:56 +0100
+
+statsmodels (0.8.0~rc1+git59-gef47cd9-4) unstable; urgency=medium
+
+ * Team upload.
+ * Disable test_smoke_plot_and_repr() and test_pandas() on s390x:
+ probably a matplotlib bug there
+
+ -- Ole Streicher <olebole@debian.org> Mon, 26 Dec 2016 15:38:06 +0100
+
+statsmodels (0.8.0~rc1+git59-gef47cd9-3) unstable; urgency=medium
+
+ * Work around a Pandas readttable bug to fix (temporary) FTBFS on i386
+
+ -- Ole Streicher <olebole@debian.org> Mon, 26 Dec 2016 11:46:23 +0100
+
+statsmodels (0.8.0~rc1+git59-gef47cd9-2) unstable; urgency=medium
+
+ * Team upload.
+ * Move package to Debian Science Team maintenance (permission from
+ Yaroslav Halchenko)
+ * Fix index type in `reshape` to be integer. Closes: #848782
+
+ -- Ole Streicher <olebole@debian.org> Sun, 25 Dec 2016 14:52:31 +0100
+
+statsmodels (0.8.0~rc1+git59-gef47cd9-1) unstable; urgency=medium
+
+ * Fresh upstream rc snapshot which hopefully addresses some
+ outstanding FTBFS etc issues
+ * debian/control
+ - allow for ipython >= 5 as alternative to ipython for now,
+ and also for traitlets explicitly on those newer systems
+ (Closes: #843414)
+ - adjusted vcs-browser (Closes: #843407)
+ * debian/rules
+ - skip test_plot_month test
+ (see https://github.com/statsmodels/statsmodels/issues/3283)
+ * debian/patches/up_3239
+ - to cast index into array before sorting (Closes: #841610)
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Sat, 19 Nov 2016 19:37:43 -0500
+
+statsmodels (0.8.0~rc1+git43-g1ac3f11-1) unstable; urgency=medium
+
+ * Snapshot of a new upstream release candidate
+ - should resolve some failing tests causing FTBFS (Closes: #837232)
+ * debian/patches
+ - all changes* were dropped (upstreamed)
+ + deb_no_nbformat_for_now - since no nbformat, do not generate ipython
+ notebooks for now
+ * debian/control
+ - boost policy to 3.9.8
+ - python-numpydoc to build-depends-indep
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Mon, 19 Sep 2016 09:23:49 -0400
+
+statsmodels (0.6.1-10) UNRELEASED; urgency=medium
+
+ * debian/control
+ - apparently on e.g. 14.04 we have to depend on pandoc, so making it
+ not an alternative to nodejs
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Fri, 29 Apr 2016 09:30:57 -0400
+
+statsmodels (0.6.1-9) neurodebian; urgency=medium
+
+ * CP df820642c16d8486e8b676e07675afbbfd4824d8 to stay compatible with older
+ versions on nose (precise and alike)
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Wed, 27 Apr 2016 22:12:50 -0400
+
+statsmodels (0.6.1-8) unstable; urgency=medium
+
+ * Resolving by skipping the very last standing failing test on s390
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Tue, 26 Apr 2016 21:42:10 -0400
+
+statsmodels (0.6.1-7) unstable; urgency=medium
+
+ * BF: adjusted changeset_3faba6e002641e95a0c6007c826fabb9c423686e.diff to
+ not use kwarg for compat with elderly pandas. Should resolve FTBFS on
+ many platforms still carrying elderly pandas
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Tue, 26 Apr 2016 08:42:12 -0400
+
+statsmodels (0.6.1-6) unstable; urgency=medium
+
+ * debian/patches
+ - picked up a set of patches to hopefully mitigate compatibility issues
+ with elderly pandas available on some platforms
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Mon, 25 Apr 2016 18:32:29 -0400
+
+statsmodels (0.6.1-5) unstable; urgency=medium
+
+ * Fixes for compatibility with recent numpy and pandas
+ (Closes: #807025, #659405)
+ * examples/ were moved out of the module, so now they get manually installed
+ under /usr/share/doc/python-statsmodels/examples (Closes: #752977)
+ * debian/control
+ - policy boosted to 3.9.7
+ - removed obsolete transitional package python-scikits.statsmodels
+ * debian/watch
+ - fixed to use github.com tags directly
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Sun, 24 Apr 2016 18:55:01 -0400
+
+statsmodels (0.6.1-4) unstable; urgency=medium
+
+ * Move ipython-notebook and zmq to build-depends-indep since needed only for
+ documentation building
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Wed, 20 May 2015 17:29:08 -0400
+
+statsmodels (0.6.1-3) unstable; urgency=medium
+
+ * upload to unstable -- jessie is out
+ * debian/control
+ - raised minimal cython version to be used to 0.19
+ - provide Build-Depends-Indep to separate handling for building
+ binary-indep packages, and allow pandoc instead of nodejs
+ for extra robustness (thanks Edmund for the hint) (Closes: #770631)
+ * debian/{control,rules}
+ - Recommend libjs-mathjax and refer to locally installed MathJax.js
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Sun, 17 May 2015 21:12:33 -0400
+
+statsmodels (0.6.1-1) experimental; urgency=medium
+
+ * New upstream release
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Wed, 03 Dec 2014 11:06:18 -0500
+
+statsmodels (0.6.0~rc2-1) unstable; urgency=medium
+
+ * Upstream release candidate
+ * debian/patches
+ - changeset_ee75d978ec4c46b506b5429d4f65fdf38866ec4d.diff redone into
+ deb_use_internal_ipythonsphinx_extensions to facilate building
+ documentation on older systems
+ - up_explicit_path_to_nbgenerate to provide explict path to notebooks
+ * debian/rules
+ - clean up cythonize.dat
+ * debian/control
+ - nodejs was added to build-depends (neccessary for docs building)
+ - boost policy to 3.9.6 (no changes)
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Wed, 22 Oct 2014 19:32:58 -0400
+
+statsmodels (0.5.0+git13-g8e07d34-2) unstable; urgency=medium
+
+ * debian/patches
+ - changeset_ee75d978ec4c46b506b5429d4f65fdf38866ec4d.diff
+ to resolve FTBFS by using packaged ipython provided
+ extensions (Closes: #753232)
+ - up_reduce_test_precision to resolve failing
+ TestRegressionNM.test_ci_beta2 test on 32bit
+ * debian/control
+ - suggest -doc package (Closes: #740348)
+ * debian/rules
+ - exclude testing of the sandbox (let kids do wild things there and
+ mentors keep their hair) -- otherwise test break due to scipy 0.14.0 API
+ breakage (f_gen)
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Wed, 16 Jul 2014 12:03:55 -0400
+
+statsmodels (0.5.0+git13-g8e07d34-1) unstable; urgency=low
+
+ * Fresh snapshot of 0.5.x maintenance branch
+ - resolved failing test causing to FTBFS (Closes: #730727)
+ * debian/control
+ - python-cvxopt added to Build-Depends (testing) and Recommends
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Thu, 28 Nov 2013 20:17:42 -0500
+
+statsmodels (0.5.0-1) unstable; urgency=low
+
+ * Fresh upstream release
+ * debian/rules
+ - assure having $HOME for clean and build operations to avoid crash of
+ matplotlib
+ * debian/control, debian/rules
+ - boost required ipython to 0.13.1 for building documentation
+ - add python-zmq explicitly to build-depends for correct IPython
+ operation
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Thu, 15 Aug 2013 23:45:31 -0400
+
+statsmodels (0.5.0~rc1-1) UNRELEASED; urgency=low
+
+ * New upstream snapshot from v0.4.3-1962-g13bbf88 at v0.4.3-1962-
+ g13bbf88
+ - depends on patsy
+ * debian/control
+ - requires ipython-notebook for building documentation
+ (Build-Depends adjusted)
+ - build for Python >= 2.7 due to absent python 2.6 build of pandas
+ for wheezy (debian/pyversions removed, use field X-Python-Version) now
+ instead
+ - boosted policy to 3.9.4 (no further changes)
+ * debian/copyright
+ - years adjusted
+ * debian/rules
+ - migrate to dh_python2 from dh_pysupport
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Thu, 01 Aug 2013 09:42:43 -0400
+
+statsmodels (0.4.2-1) unstable; urgency=low
+
+ * Fresh upstream release addressing FTBFS across big-endian architectures.
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Fri, 29 Jun 2012 17:26:36 -0400
+
+statsmodels (0.4.1-1) unstable; urgency=low
+
+ * Fresh upstream release
+ - dropped up_versioncomparison_with_rc
+ - require Python >= 2.6
+ * Do fail if unittests fail
+ * Added joblib to build-depends since seems could be used during tests
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Fri, 15 Jun 2012 17:57:17 -0400
+
+statsmodels (0.4.0-2) unstable; urgency=low
+
+ * Removed python-rpy from Recommends to avoid pulling Rtillery with
+ with the default installation of statsmodels and pandas, since rpy apparently
+ is mentioned only in some legacy code
+ * Added patch up_versioncomparison_with_rc to "cherry-pick" 45ee896 for
+ robust version comparison with rc versions of numpy/scipy
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Sun, 13 May 2012 20:40:37 -0400
+
+statsmodels (0.4.0-1) unstable; urgency=low
+
+ * Fresh upstream release
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Tue, 01 May 2012 09:34:58 -0400
+
+statsmodels (0.4.0~rc2+git6-g756f2d0-1) experimental; urgency=low
+
+ * Fresh upstream pre-release
+ - all patches dropped (upstreamed)
+ - scikits. name space is getting deprecated:
+ - python-scikits.statsmodels is provided to ease code transition
+ - python-statsmodels-doc replaces python-scikits.statsmodels-doc
+ - python-statsmodels-lib is introduced to carry arch-dependent
+ extensions
+ * debian/copyright:
+ - entry for statsmodels/stats/libqsturng
+ * debian/watch:
+ - use githubredir.debian.net
+ * debian/{rules,control}
+ - rule cythonize to (re-)cythonize .pyx files so they could be
+ built on older releases
+ - use custom IPython01x available from NeuroDebian on older releases
+ to build documentation
+ - build-depend on python-all-dev now to build extensions
+ - recommend python-joblib
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Wed, 11 Apr 2012 08:30:50 -0400
+
+statsmodels (0.3.1-4) unstable; urgency=low
+
+ * Added patch from Ubuntu: fix_test_discrete.patch. Thanks Michael Terry for
+ the patch and Gregor Herrmann for the reminder (Closes: #663986, #648845)
+ * upon clean -- remove autogenerated version.py
+ * debian/copyright: adjusted for DEP-5
+ * debian/control: boosted policy to 3.9.3 (no changes)
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Thu, 29 Mar 2012 12:44:27 -0400
+
+statsmodels (0.3.1-3) unstable; urgency=low
+
+ * Few bugfixes:
+ - up_broken_imports
+ - up_doc_fixes
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Sat, 21 Jan 2012 12:07:54 -0500
+
+statsmodels (0.3.1-2) unstable; urgency=low
+
+ * debian/copyright: extended list of copyrights/licenses. Thanks to
+ Luca Falavigna for the thorough review
+ * debian/rules: remove shipped COPYING files due to duplication of
+ debian/copyright
+ * Initial release -- upload to Debian (Closes: #570604)
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Thu, 25 Aug 2011 23:23:37 +0200
+
+statsmodels (0.3.1-1) UNRELEASED; urgency=low
+
+ * Added get-orig-source rule to fetch from github using uscan
+ * Upload to Debian was rejected
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Wed, 24 Aug 2011 23:14:01 +0200
+
+statsmodels (0.3.0-1) neurodebian; urgency=low
+
+ * Upstream release -- upload to Debian proper is pending the removal of
+ WFS dataset (research only restriction)
+ * debian/copyright: expanded to mention copyrights for the included
+ datasets, adjusted BSD-3 license text to use project's name instead
+ of "stock" regents.
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Tue, 19 Jul 2011 22:40:18 -0400
+
+statsmodels (0.3.0~rc2+4-gc78fbe1-1) UNRELEASED; urgency=low
+
+ * Upstream snapshot post RC2:
+ - upstream moved to GIT, Debian packaging repository reinitilized
+ borrowing debian/ branch from previous one (git-bzr imported)
+ * debian/control: boosted policy to 3.9.2 -- no changes
+ * debian/watch: fetch from github
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Thu, 07 Jul 2011 22:43:21 -0400
+
+statsmodels (0.3.0~bzr20110330-1) neurodebian; urgency=low
+
+ * Fresh snapshot of BZR 0.3-devel series
+ * Initial upload to Debian was rejected due to data licensing issues
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Tue, 29 Mar 2011 17:48:04 -0400
+
+statsmodels (0.2.0+bzr1990-1) neurodebian; urgency=low
+
+ * Initial release -- rejected due to full list of copyrights
+
+ -- Yaroslav Halchenko <debian@onerussian.com> Thu, 06 May 2010 23:02:18 -0400
--- /dev/null
+Source: statsmodels
+Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
+Uploaders: Yaroslav Halchenko <debian@onerussian.com>,
+ Michael Hanke <michael.hanke@gmail.com>,
+ Diane Trout <diane@ghic.org>,
+ Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Section: python
+Priority: optional
+Build-Depends: debhelper-compat (= 13),
+ sphinx-common,
+ dh-python (>= 3.20180313~),
+ cython3 (>= 3.0.10~),
+# tries to build twice (arch/indep), which fails pybuild-plugin-pyproject,
+ python3-all-dev,
+ python3-colorama <!nocheck> <!nodoc>,
+ python3-cvxopt <!nocheck> <!nodoc>,
+ python3-dateutil <!nocheck> <!nodoc>,
+ python3-jinja2 <!nocheck> <!nodoc>,
+ python3-joblib <!nocheck> <!nodoc>,
+ python3-matplotlib,
+# when we have numpy>=2 + scipy>=1.13, statsmodels will need to be rebuilt, because C extensions built against numpy 2.x work in 1.x but not the reverse - numpy doc/source/dev/depending_on_numpy.rst, statsmodels issue #9194
+ python3-numpy (>= 1:1.22.3~),
+ python3-packaging (>= 21.3~),
+ python3-pandas (>= 1.4~),
+ python3-patsy (>= 0.5.6~) <!nocheck> <!nodoc>,
+ python3-pytest <!nocheck>,
+ python3-pytest-forked <!nocheck>,
+ python3-scipy (>= 1.9.3~),
+# upstream want setuptools >=69.0.2 but we don't have that
+ python3-setuptools,
+ python3-setuptools-scm (>= 8~),
+ python3-tk <!nocheck> <!nodoc>
+Build-Depends-Indep: python3-jupyter-client <!nodoc>,
+ python3-nbconvert <!nodoc>,
+ python3-nbsphinx <!nodoc>,
+ python3-notebook <!nodoc>,
+ python3-numpydoc <!nodoc>,
+ python3-seaborn <!nodoc>,
+ python3-simplegeneric <!nodoc>,
+ python3-sphinx <!nodoc>,
+ python3-yaml <!nodoc>,
+ jdupes <!nodoc>,
+# for intersphinx inventories
+# no longer exists python-matplotlib-doc <!nodoc>,
+# no longer exists python-numpy-doc <!nodoc>,
+ python-scipy-doc <!nodoc>,
+ python-pandas-doc <!nodoc>,
+ python3-doc <!nodoc>,
+# for the comparing-with-R examples, and example datasets
+ r-base-core <!nodoc>,
+ python3-rpy2 <!nodoc>,
+ r-cran-cardata <!nodoc>,
+ r-cran-geepack <!nodoc>,
+ r-cran-guerry <!nodoc>,
+ r-cran-lme4 <!nodoc>,
+ r-cran-mass <!nodoc>,
+ r-cran-robustbase <!nodoc>,
+ r-cran-vcd <!nodoc>,
+ pandoc <!nodoc>
+Standards-Version: 4.7.0
+Rules-Requires-Root: no
+Vcs-Browser: https://salsa.debian.org/science-team/statsmodels
+Vcs-Git: https://salsa.debian.org/science-team/statsmodels.git
+Homepage: https://www.statsmodels.org
+
+Package: python-statsmodels-doc
+Architecture: all
+Section: doc
+Depends: ${misc:Depends},
+ ${sphinxdoc:Depends},
+ libjs-requirejs,
+ libjs-mathjax
+Suggests: python3-statsmodels,
+ python3-doc,
+ python-numpy-doc,
+ python-patsy-doc,
+ python-pandas-doc,
+ python-scipy-doc
+Breaks: python-scikits-statsmodels-doc,
+ python-scikits.statsmodels-doc,
+ python-statsmodels (<< 0.9.0-3~)
+Replaces: python-scikits-statsmodels-doc,
+ python-scikits.statsmodels-doc,
+ python-statsmodels (<< 0.9.0-3~)
+Description: documentation and examples for statsmodels
+ Statsmodels Python modules are providing classes and functions for
+ the estimation of several categories of statistical models. These
+ currently include linear regression models, OLS, GLS, WLS and GLS
+ with AR(p) errors, generalized linear models for several distribution
+ families and M-estimators for robust linear models. An extensive list
+ of result statistics are available for each estimation problem.
+ .
+ This package contains HTML documentation and example scripts for
+ python-statsmodels.
+
+Package: python3-statsmodels
+Architecture: all
+Depends: ${misc:Depends},
+ ${python3:Depends},
+ python3-numpy (>= 1:1.22.3~),
+ python3-scipy (>= 1.9.3~),
+ python3-statsmodels-lib (>= ${source:Version}),
+ python3-patsy (>= 0.5.6~),
+ python3-pandas (>= 1.4~)
+Recommends: python3-matplotlib,
+ python3-joblib,
+ python3-colorama,
+ python3-cvxopt
+Suggests: python-statsmodels-doc
+Provides: ${python3:Provides}
+Description: Python3 module for the estimation of statistical models
+ statsmodels Python3 module provides classes and functions for the
+ estimation of several categories of statistical models. These
+ currently include linear regression models, OLS, GLS, WLS and GLS
+ with AR(p) errors, generalized linear models for several distribution
+ families and M-estimators for robust linear models. An extensive list
+ of result statistics are available for each estimation problem.
+
+Package: python3-statsmodels-lib
+Architecture: any
+Multi-Arch: same
+Depends: ${misc:Depends},
+ ${python3:Depends},
+ ${shlibs:Depends},
+ python3-numpy
+Description: Python3 low-level implementations and bindings for statsmodels
+ Statsmodels is a Python module for the estimation of statistical models.
+ .
+ This package contains internal libraries for python3-statsmodels. Users
+ should not need to install it directly.
--- /dev/null
+Format: https://www.debian.org/doc/packaging-manuals/copyright-format/1.0/
+Upstream-Name: statsmodels
+Upstream-Contact: pystatsmodels@googlegroups.com
+Source: https://github.com/statsmodels/statsmodels
+Files-Excluded: statsmodels/datasets/scotland/src/scotland_changes.html
+
+Files: *
+Copyright: 2006, Jonathan E. Taylor
+ 2006-2008, Scipy Developers.
+ 2009-2024, Statsmodels Developers.
+License: BSD-3
+Comment: the original statsmodels/tools/sequences.py contains a CC-BY-SA 2.5 snippet by "Robert William Hanks" https://stackoverflow.com/users/350331, but it may be too small to be copyrightable, and is patched out in this package
+
+Files: docs/source/_static/facebox.js
+Copyright: 2007, 2008 Chris Wanstrath, Kyle Neath
+License: Expat
+
+Files: docs/source/_static/mktree.js
+Copyright: 2005-2009 Matt Kruse
+License: Expat
+
+Files: setup.py
+Copyright: 2009-2012, Brian Granger, Min Ragan-Kelley (from pyzmq)
+ 2004 Infrae (from lxml)
+ 2008-2013, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
+ 2009-2024, Statsmodels Developers
+License: BSD-3
+
+Files: statsmodels/compat/numpy.py
+Copyright: 2005-2015 NumPy Developers
+License: BSD-3
+
+Files: statsmodels/datasets/*
+Copyright: 2007, David Cournapeau <cournape@gmail.com>
+License: BSD-3
+Comment: concerns code parts, corresponding data files license terms
+ described below
+
+Files: statsmodels/datasets/utils.py
+Copyright: 2007-2010, Scikit-Learn Developers
+ 2009-2023, Statsmodels Developers
+License: BSD-3
+
+Files: statsmodels/datasets/anes96/anes96.csv
+ statsmodels/datasets/grunfeld/grunfeld.csv
+ statsmodels/datasets/longley/longley.csv
+ statsmodels/datasets/macrodata/macrodata.csv
+ statsmodels/datasets/nile/nile.csv
+ statsmodels/datasets/randhie/randhie.csv
+ statsmodels/datasets/stackloss/stackloss.csv
+ statsmodels/datasets/strikes/strikes.csv
+ statsmodels/datasets/sunspots/sunspots.csv
+Copyright: N/A
+License: public-domain
+
+Files: statsmodels/datasets/ccard/ccard.csv
+Copyright: William Greene
+License: BSD-3
+Comment: Used with express permission of the original author, who retains all rights
+
+Files: statsmodels/datasets/committee/committee.csv
+ statsmodels/datasets/copper/copper.csv
+ statsmodels/datasets/cpunish/cpunish.csv
+ statsmodels/datasets/scotland/scotvote.csv
+ statsmodels/datasets/star98/star98.csv
+Copyright: Jeff Gill
+License: BSD-3
+Comment: Used with express permission of the original author, who retains all rights
+
+Files: statsmodels/datasets/spector/spector.csv
+Copyright: Lee Spector
+License: BSD-3
+Comment: Used with express permission of the original author, who retains all rights
+
+Files: statsmodels/distributions/tests/test_mixture.py
+Copyright: 2013 Ana Martinez Pardo
+License: BSD-3
+
+Files: statsmodels/graphics/tsaplots.py
+ statsmodels/sandbox/tsa/example_arma.py
+Copyright: 2002-2012, John D. Hunter and Matplotlib contributors
+ 2009-2024, Statsmodels Developers
+License: BSD-3 and matplotlib
+
+Files: statsmodels/iolib/*
+Copyright: 2007, Joe Presbrey <presbrey@mit.edu>
+ 2009-2024, Statsmodels Developers
+License: Expat and BSD-3
+
+Files: statsmodels/multivariate/factor_rotation/*
+Copyright: 2015 Martin van der Schans, C.A. Bernaards, R.I. Jennrich
+License: BSD-3
+
+Files: statsmodels/regression/rolling.py
+ statsmodels/tsa/stl/_stl.pyx
+Copyright: 2019 Kevin Sheppard
+License: BSD-3
+
+Files: statsmodels/sandbox/pca.py
+Copyright: 2008 Erik Tollerud <etolleru@uci.edu>
+License: BSD-3
+
+Files: statsmodels/sandbox/tsa/diffusion2.py
+Copyright: 2008, Attilio Meucci
+License: BSD-2
+
+Files: statsmodels/stats/libqsturng/*
+Copyright: 2011, Roger Lew
+License: BSD-3
+
+Files: statsmodels/stats/tests/results/results_multinomial_proportions.py
+Copyright: 2016 Sébastien Lerique
+License: BSD-3
+
+Files: statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/*
+Copyright: 2018, Federal Reserve Bank of New York
+License: BSD-3
+
+Files: debian/*
+Copyright: 2010-2017, Yaroslav Halchenko <debian@onerussian.com>
+ 2017-2024 Debian Science Team
+License: BSD-3
+
+Files: debian/datasets/Rdatasets.R
+ debian/datasets/rst.sh
+Copyright: 2012-2019 Vincent Arel-Bundock and contributors
+License: GPL-3
+Comment: from https://vincentarelbundock.github.io/Rdatasets with some changes
+
+
+License: BSD-2
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions are
+ met:
+ .
+ * Redistributions of source code must retain the above copyright
+ notice, this list of conditions and the following disclaimer.
+ * Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in
+ the documentation and/or other materials provided with the distribution
+ .
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
+ LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
+ CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
+ SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
+ INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
+ CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
+ ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
+ POSSIBILITY OF SUCH DAMAGE.
+
+License: BSD-3
+ Redistribution and use in source and binary forms, with or without
+ modification, are permitted provided that the following conditions are met:
+ .
+ a. Redistributions of source code must retain the above copyright notice,
+ this list of conditions and the following disclaimer.
+ b. Redistributions in binary form must reproduce the above copyright
+ notice, this list of conditions and the following disclaimer in the
+ documentation and/or other materials provided with the distribution.
+ c. Neither the name of Statsmodels nor the names of its contributors
+ may be used to endorse or promote products derived from this software
+ without specific prior written permission.
+ .
+ .
+ THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+ AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+ IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
+ ARE DISCLAIMED. IN NO EVENT SHALL STATSMODELS OR CONTRIBUTORS BE LIABLE FOR
+ ANY DIRECT, INDIRMITECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+ DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+ SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+ CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
+ LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
+ OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH
+ DAMAGE.
+Comment: the parts copied from other packages replace the name "Statsmodels" with "the NumPy Developers", "the Enthought" (scipy), "the copyright holder" (pandas) or "the Scikit-learn Developers ".
+
+License: Expat
+ Permission is hereby granted, free of charge, to any person
+ obtaining a copy of this software and associated documentation
+ files (the "Software"), to deal in the Software without
+ restriction, including without limitation the rights to use,
+ copy, modify, merge, publish, distribute, sublicense, and/or sell
+ copies of the Software, and to permit persons to whom the
+ Software is furnished to do so, subject to the following
+ conditions:
+ .
+ The above copyright notice and this permission notice shall be
+ included in all copies or substantial portions of the Software.
+ .
+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
+ EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES
+ OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
+ NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT
+ HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
+ WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+ FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR
+ OTHER DEALINGS IN THE SOFTWARE.
+ .
+ Except as contained in this notice, the name(s) of the above
+ copyright holders shall not be used in advertising or otherwise
+ to promote the sale, use or other dealings in this Software
+ without prior written authorization.
+
+License: matplotlib
+ LICENSE AGREEMENT FOR MATPLOTLIB %(version)s
+ --------------------------------------
+ .
+ 1. This LICENSE AGREEMENT is between John D. Hunter ("JDH"), and the
+ Individual or Organization ("Licensee") accessing and otherwise using
+ matplotlib software in source or binary form and its associated
+ documentation.
+ .
+ 2. Subject to the terms and conditions of this License Agreement, JDH
+ hereby grants Licensee a nonexclusive, royalty-free, world-wide license
+ to reproduce, analyze, test, perform and/or display publicly, prepare
+ derivative works, distribute, and otherwise use matplotlib %(version)s
+ alone or in any derivative version, provided, however, that JDH's
+ License Agreement and JDH's notice of copyright, i.e., "Copyright (c)
+ 2002-%(year)d John D. Hunter; All Rights Reserved" are retained in
+ matplotlib %(version)s alone or in any derivative version prepared by
+ Licensee.
+ .
+ 3. In the event Licensee prepares a derivative work that is based on or
+ incorporates matplotlib %(version)s or any part thereof, and wants to
+ make the derivative work available to others as provided herein, then
+ Licensee hereby agrees to include in any such work a brief summary of
+ the changes made to matplotlib %(version)s.
+ .
+ 4. JDH is making matplotlib %(version)s available to Licensee on an "AS
+ IS" basis. JDH MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR
+ IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, JDH MAKES NO AND
+ DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS
+ FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF MATPLOTLIB %(version)s
+ WILL NOT INFRINGE ANY THIRD PARTY RIGHTS.
+ .
+ 5. JDH SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF MATPLOTLIB
+ %(version)s FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR
+ LOSS AS A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING
+ MATPLOTLIB %(version)s, OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF
+ THE POSSIBILITY THEREOF.
+ .
+ 6. This License Agreement will automatically terminate upon a material
+ breach of its terms and conditions.
+ .
+ 7. Nothing in this License Agreement shall be deemed to create any
+ relationship of agency, partnership, or joint venture between JDH and
+ Licensee. This License Agreement does not grant permission to use JDH
+ trademarks or trade name in a trademark sense to endorse or promote
+ products or services of Licensee, or any third party.
+ .
+ 8. By copying, installing or otherwise using matplotlib %(version)s,
+ Licensee agrees to be bound by the terms and conditions of this License
+ Agreement.
+
+License: public-domain
+ The copyright statements for the datasets are attached to the individual
+ datasets, most datasets are in public domain, and we[statsmodels] don't claim any copyright
+ on any of them.
+Comment: the above is from COPYRIGHTS.txt; factual data may also be inherently uncopyrightable
+
+License: GPL-3
+ see /usr/share/common-licenses/GPL-3
--- /dev/null
+# Originally from https://github.com/vincentarelbundock/Rdatasets/blob/master/Rdatasets.R
+# License: GPL-3
+# Modified to remove not-in-Debian dependencies -- Rebecca Palmer
+can_do_index=require(R2HTML)
+
+# Data packages
+packages = c("boot", "car", "carData", "cluster", "COUNT", "DAAG", "datasets",
+ "drc", "Ecdat", "evir", "forecast", "fpp2", "gamclass", "gap",
+ "geepack", "ggplot2", "Guerry", "HSAUR", "hwde", "ISLR", "KMsurv",
+ "lattice", "lme4", "lmec", "MASS", "mediation", "mi", "mosaicData",
+ "multgee", "plm", "plyr", "pscl", "psych", "quantreg", "reshape2",
+ "robustbase", "rpart", "sandwich", "sem", "Stat2Data", "survival",
+ "texmex", "vcd", "Zelig", "purrr")
+for(package in packages) {
+ require(package, character.only=TRUE)
+}
+
+# Functions
+get_doc = function(package = 'mi', dataset = 'nlsyV') {
+ help.ref = try(help(eval(dataset), package=eval(package)), silent = TRUE)
+ out = try(utils:::.getHelpFile(help.ref), silent = TRUE)
+ return(out)
+}
+
+get_data = function(package = 'mi', dataset = 'nlsyV') {
+ e = new.env(hash = TRUE, parent = parent.frame(), size = 29L)
+ data(list = dataset, package = package, envir = e)
+ out = e[[dataset]]
+ return(out)
+}
+
+tidy_data = function(dat) {
+ if(class(dat)[1]=='ts'){
+ dat = try(data.frame('time' = time(dat), 'value' = dat), silent = TRUE)
+ } else {
+ dat = try(as.data.frame(dat), silent = TRUE)
+ }
+ if (class(dat)[1] == 'data.frame') {
+ out = dat
+ } else {
+ out = NA
+ class(out) = 'try-error'
+ }
+ return(out)
+}
+
+write_data = function(i) {
+ package = index$Package[i]
+ dataset = index$Item[i]
+ dat = data[[i]]
+ doc = docs[[i]]
+ cat(package, ' -- ', dataset, '\n')
+ try(dir.create('csv'), silent = TRUE)
+ try(dir.create('doc'), silent = TRUE)
+ try(dir.create(paste0('csv/', package)), silent = TRUE)
+ try(dir.create(paste0('doc/', package)), silent = TRUE)
+ fn_csv = paste0('csv/', package, '/', dataset, '.csv')
+ fn_doc = paste0('doc/', package, '/', dataset, '.html')
+ write.csv(data[[i]], file = fn_csv)
+ tools::Rd2HTML(docs[[i]], out = fn_doc)
+}
+
+# Index
+index = data(package=packages)$results[,c(1,3,4)]
+index = data.frame(index, stringsAsFactors=FALSE)
+
+# Extract Data and Docs and exclude non-data.frames and errors
+data = lapply(1:nrow(index), function(i) get_data(index$Package[i], index$Item[i]))
+docs = lapply(1:nrow(index), function(i) get_doc(index$Package[i], index$Item[i]))
+data = lapply(data, tidy_data)
+idx1 = sapply(docs, class) != 'try-error'
+idx2 = sapply(data, class) != 'try-error'
+idx = as.logical(pmin(idx1, idx2))
+data = data[idx]
+docs = docs[idx]
+index = index[idx,]
+
+# remap names to what statsmodels expects
+index$Package[index$Package == "Guerry"] <- "HistData" # the dataset we want is in both
+
+# Write to file
+for (i in 1:nrow(index)) {
+ write_data(i)
+}
+
+# Index
+is.binary <- function(x) {
+ tryCatch(length(unique(na.omit(x))) == 2,
+ error = function(e) FALSE, silent = TRUE)
+}
+index$Rows = sapply(data, nrow)
+index$Cols = sapply(data, ncol)
+index$n_binary <- sapply(data, function(x) sum(sapply(x, is.binary)))
+index$n_character <- sapply(data, function(x) sum(sapply(x, is.character)))
+index$n_factor <- sapply(data, function(x) sum(sapply(x, is.factor)))
+index$n_logical <- sapply(data, function(x) sum(sapply(x, is.logical)))
+index$n_numeric <- sapply(data, function(x) sum(sapply(x, is.numeric)))
+
+index$CSV = paste('https://raw.github.com/vincentarelbundock/Rdatasets/master/csv/',
+ index$Package, '/', index$Item, '.csv', sep='')
+index$Doc = paste('https://raw.github.com/vincentarelbundock/Rdatasets/master/doc/',
+ index$Package, '/', index$Item, '.html', sep='')
+index = index[order(index$Package, index$Item),]
+
+# Index CSV
+write.csv(index, file = 'datasets.csv', row.names = FALSE)
+
+if (!can_do_index){
+ print("Can't create the HTML index, as R2HTML is not installed")
+ q()
+}
+# Index HTML
+index$CSV = paste("<a href='", index$CSV, "'> CSV </a>", sep='')
+index$Doc = paste("<a href='", index$Doc, "'> DOC </a>", sep='')
+unlink('datasets.html')
+rss = '
+<style type="text/css">
+ tr:nth-child(even){
+ background-color: #E5E7E5;
+ }
+</style>
+'
+cat(rss, file='datasets.html')
+HTML(index, file='datasets.html', row.names=FALSE, append=TRUE)
--- /dev/null
+#!/usr/bin/python3
+
+"""Place data from R into the statsmodels cache, as Debian does not allow Internet access during builds"""
+
+import os
+import subprocess
+import glob
+import pickle
+import zlib
+
+buildroot_directory = os.getcwd()
+Rtmp_directory = buildroot_directory + '/build/Rtmp'
+target_directory = buildroot_directory + '/build/datacache'
+os.makedirs(target_directory)
+os.makedirs(Rtmp_directory)
+
+# R packages (datasets) used:
+# car (Duncan, Moore) # now split off as carData
+# COUNT (medpar) # not in Debian, use removed by use_available_data.patch
+# geepack (dietox)
+# HistData (Guerry) # not in Debian, but Guerry is and has the same dataset
+# MASS (epil, Sitka)
+# robustbase (starsCYG)
+# vcd (Arthritis, VisualAcuity)
+
+# duration.rst would use survival (flchain) but that example isn't run during build
+
+# R-using examples use lme4, geepack, robustbase
+
+subprocess.run(['R', 'CMD', 'BATCH', buildroot_directory + '/debian/datasets/Rdatasets.R'], cwd=Rtmp_directory, check=True)
+subprocess.run([buildroot_directory + '/debian/datasets/rst.sh'], cwd=Rtmp_directory + '/doc', check=True)
+
+for fname_in in glob.glob(Rtmp_directory + '/**/*', recursive=True):
+ if os.path.isfile(fname_in):
+ with open(fname_in,'rb') as fd:
+ data = fd.read()
+ fname_out = target_directory + '/raw.githubusercontent.com,vincentarelbundock,Rdatasets,master,' + os.path.relpath('-v2.'.join(fname_in.rsplit('.',1)), start=Rtmp_directory).replace('/',',') + '.zip'
+ data2 = zlib.compress(data)
+ with open(fname_out, 'wb') as fd:
+ fd.write(data2)
--- /dev/null
+#!/usr/bin/env bash
+# IMPORTANT: Run from inside the "doc" directory
+
+# create rst directories if they do not exist
+for d in $(find . -maxdepth 1 -type d)
+do
+ mkdir "$d/rst"
+done
+
+# use pandoc to convert html to rst
+for f in $(find . -name '*.html')
+do
+ old=$(basename -- "$f")
+ new=$"`basename "$f" .html`.rst"
+ dir=$(dirname -- "$f")
+ echo "$f"
+ pandoc -o $dir/rst/$base$new $f
+done
--- /dev/null
+[DEFAULT]
+# the default branch for upstream sources:
+upstream-branch = upstreamtarballs
+# the default branch for the debian patch:
+debian-branch = main
+# the default tag formats used:
+upstream-vcs-tag = v%(version)s
+debian-tag = debian/%(version)s
--- /dev/null
+Description: Avoid test failure on mipsel
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Bug: https://github.com/statsmodels/statsmodels/8341
+Bug-Debian: https://bugs.debian.org/1014884
+Forwarded: no
+
+--- a/statsmodels/sandbox/regression/tests/test_gmm.py
++++ b/statsmodels/sandbox/regression/tests/test_gmm.py
+@@ -8,6 +8,7 @@ from statsmodels.compat.python import lr
+
+ import os
+ import copy
++import platform
+
+ import pytest
+ import numpy as np
+@@ -563,7 +564,7 @@ class TestGMMStOneiterOLS_Linear(CheckGM
+ @classmethod
+ def setup_class(cls):
+ # replicating OLS by GMM - high agreement
+- cls.params_tol = [1e-11, 1e-12]
++ cls.params_tol = [1e-11, 2e-12 if 'mips' in platform.uname()[4].lower() else 1e-12]
+ cls.bse_tol = [1e-12, 1e-12]
+ exog = exog_st # with const at end
+ res_ols = OLS(endog, exog).fit()
--- /dev/null
+Description: Loosen tolerance on a possibly unstable test
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Bug-Debian: https://bugs.debian.org/1020060 and 1014278
+Forwarded: https://github.com/statsmodels/statsmodels/issues/8341
+
+--- a/statsmodels/tsa/statespace/tests/test_dynamic_factor.py
++++ b/statsmodels/tsa/statespace/tests/test_dynamic_factor.py
+@@ -614,7 +614,7 @@ class TestDynamicFactor_ar2_errors(Check
+ res1.params, method='nm', maxiter=10000,
+ optim_score='approx', disp=False)
+ # Added rtol to catch spurious failures on some platforms
+- assert_allclose(res.llf, self.results.llf, atol=1e-2, rtol=1e-4)
++ assert_allclose(res.llf, self.results.llf, atol=1e-2, rtol=1e-2)
+
+
+ class TestDynamicFactor_scalar_error(CheckDynamicFactor):
--- /dev/null
+Description: Avoid cast exception in np.bincount
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Bug-Debian: https://bugs.debian.org/1030208
+Forwarded: no
+
+--- a/statsmodels/distributions/tests/test_discrete.py
++++ b/statsmodels/distributions/tests/test_discrete.py
+@@ -330,7 +330,8 @@ class CheckDiscretized():
+ dfr = mod.get_distr(res.params)
+ nobs_rvs = 500
+ rvs = dfr.rvs(size=nobs_rvs)
+- freq = np.bincount(rvs)
++ assert (rvs == rvs.astype(int)).all()
++ freq = np.bincount(rvs.astype(int))#the cast is to avoid an unsafe-cast error on 32 bit systems, https://bugs.debian.org/1030208
+ p = mod.predict(res.params, which="probs", k_max=nobs_rvs)
+ k = len(freq)
+ p[k - 1] += 1 - p[:k].sum()
--- /dev/null
+Description: Xfail / increase tolerance on tests
+
+TestMICE and test_mixedlm vary enough with the random state, and
+corrpsd is close enough to 0, that this is plausibly a rounding non-bug
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Bug-Debian: https://bugs.debian.org/997081
+Forwarded: https://github.com/statsmodels/statsmodels/issues/7911
+
+--- a/statsmodels/stats/tests/test_corrpsd.py
++++ b/statsmodels/stats/tests/test_corrpsd.py
+@@ -192,19 +192,19 @@ def test_corrpsd_threshold(threshold):
+
+ y = corr_nearest(x, n_fact=100, threshold=threshold)
+ evals = np.linalg.eigvalsh(y)
+- assert_allclose(evals[0], threshold, rtol=1e-6, atol=1e-15)
++ assert_allclose(evals[0], threshold, rtol=1e-6, atol=2e-15)
+
+ y = corr_clipped(x, threshold=threshold)
+ evals = np.linalg.eigvalsh(y)
+- assert_allclose(evals[0], threshold, rtol=0.25, atol=1e-15)
++ assert_allclose(evals[0], threshold, rtol=0.25, atol=2e-15)
+
+ y = cov_nearest(x, method='nearest', n_fact=100, threshold=threshold)
+ evals = np.linalg.eigvalsh(y)
+- assert_allclose(evals[0], threshold, rtol=1e-6, atol=1e-15)
++ assert_allclose(evals[0], threshold, rtol=1e-6, atol=2e-15)
+
+ y = cov_nearest(x, n_fact=100, threshold=threshold)
+ evals = np.linalg.eigvalsh(y)
+- assert_allclose(evals[0], threshold, rtol=0.25, atol=1e-15)
++ assert_allclose(evals[0], threshold, rtol=0.25, atol=2e-15)
+
+
+ class Test_Factor:
--- /dev/null
+Description: Allow building with Cython 3.x
+
+(= Cython _version_ 3.x, not to be confused with the cython3 binary)
+
+Author: Chad Fulton, Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Origin: mostly https://github.com/statsmodels/statsmodels/pull/8961
+Bug-Ubuntu: https://launchpad.net/bugs/2043284
+Forwarded: no
+
+--- a/statsmodels/tsa/exponential_smoothing/_ets_smooth.pyx
++++ b/statsmodels/tsa/exponential_smoothing/_ets_smooth.pyx
+@@ -1,5 +1,5 @@
+ #!python
+-#cython: wraparound=False, boundscheck=False, cdivision=True
++#cython: wraparound=False, boundscheck=False, cdivision=True, cpow=True
+
+ from cpython cimport bool
+ import numpy as np
+--- a/statsmodels/tsa/statespace/_filters/_inversions.pyx.in
++++ b/statsmodels/tsa/statespace/_filters/_inversions.pyx.in
+@@ -1,6 +1,7 @@
+ #cython: boundscheck=False
+ #cython: wraparound=False
+ #cython: cdivision=False
++#cython: cpow=True
+ """
+ State Space Models
+
+--- a/statsmodels/tsa/statespace/_filters/_univariate.pyx.in
++++ b/statsmodels/tsa/statespace/_filters/_univariate.pyx.in
+@@ -2,6 +2,7 @@
+ #cython: boundscheck=False
+ #cython: wraparound=False
+ #cython: cdivision=False
++#cython: cpow=True
+ """
+ State Space Models
+
+@@ -617,4 +618,4 @@ cdef {{cython_type}} {{prefix}}loglikeli
+ cdef {{cython_type}} {{prefix}}scale_univariate({{prefix}}KalmanFilter kfilter, {{prefix}}Statespace model):
+ return 0
+
+-{{endfor}}
+\ No newline at end of file
++{{endfor}}
+--- a/statsmodels/tsa/statespace/_filters/_univariate_diffuse.pyx.in
++++ b/statsmodels/tsa/statespace/_filters/_univariate_diffuse.pyx.in
+@@ -2,6 +2,7 @@
+ #cython: boundscheck=False
+ #cython: wraparound=False
+ #cython: cdivision=False
++#cython: cpow=True
+ """
+ State Space Models
+
+@@ -300,4 +301,4 @@ cdef {{cython_type}} {{prefix}}inverse_n
+ cdef {{cython_type}} {{prefix}}loglikelihood_univariate_diffuse({{prefix}}KalmanFilter kfilter, {{prefix}}Statespace model, {{cython_type}} determinant):
+ return 0
+
+-{{endfor}}
+\ No newline at end of file
++{{endfor}}
+--- a/statsmodels/tsa/holtwinters/_exponential_smoothers.pyx
++++ b/statsmodels/tsa/holtwinters/_exponential_smoothers.pyx
+@@ -1,5 +1,5 @@
+ #!python
+-#cython: language_level=3, wraparound=False, boundscheck=False, cdivision=True
++#cython: language_level=3, wraparound=False, boundscheck=False, cdivision=True, cpow=True
+
+ import numpy as np
+
--- /dev/null
+Description: Fix random seeds for reproducibility
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Forwarded: no
+
+--- a/examples/notebooks/copula.ipynb
++++ b/examples/notebooks/copula.ipynb
+@@ -19,7 +19,8 @@
+ "from scipy import stats\n",
+ "\n",
+ "sns.set_style(\"darkgrid\")\n",
+- "sns.mpl.rc(\"figure\", figsize=(8, 8))"
++ "sns.mpl.rc(\"figure\", figsize=(8, 8))\n",
++ "np.random.seed(1234) # for reproducibility"
+ ]
+ },
+ {
+--- a/examples/notebooks/ets.ipynb
++++ b/examples/notebooks/ets.ipynb
+@@ -31,7 +31,8 @@
+ "import pandas as pd\n",
+ "\n",
+ "%matplotlib inline\n",
+- "from statsmodels.tsa.exponential_smoothing.ets import ETSModel"
++ "from statsmodels.tsa.exponential_smoothing.ets import ETSModel\n",
++ "np.random.seed(1234) # for reproducibility"
+ ]
+ },
+ {
+--- a/examples/notebooks/exponential_smoothing.ipynb
++++ b/examples/notebooks/exponential_smoothing.ipynb
+@@ -37,6 +37,7 @@
+ "import pandas as pd\n",
+ "import matplotlib.pyplot as plt\n",
+ "from statsmodels.tsa.api import ExponentialSmoothing, SimpleExpSmoothing, Holt\n",
++ "np.random.seed(1234) # for reproducibility\n",
+ "\n",
+ "%matplotlib inline\n",
+ "\n",
+--- a/examples/notebooks/gee_score_test_simulation.ipynb
++++ b/examples/notebooks/gee_score_test_simulation.ipynb
+@@ -23,7 +23,8 @@
+ "import numpy as np\n",
+ "from scipy.stats.distributions import norm, poisson\n",
+ "import statsmodels.api as sm\n",
+- "import matplotlib.pyplot as plt"
++ "import matplotlib.pyplot as plt\n",
++ "np.random.seed(1234) # for reproducibility"
+ ]
+ },
+ {
+--- a/examples/notebooks/plots_boxplots.ipynb
++++ b/examples/notebooks/plots_boxplots.ipynb
+@@ -24,7 +24,8 @@
+ "\n",
+ "import numpy as np\n",
+ "import matplotlib.pyplot as plt\n",
+- "import statsmodels.api as sm"
++ "import statsmodels.api as sm\n",
++ "np.random.seed(1234) # for reproducibility"
+ ]
+ },
+ {
+--- a/examples/notebooks/predict.ipynb
++++ b/examples/notebooks/predict.ipynb
+@@ -28,7 +28,8 @@
+ "import statsmodels.api as sm\n",
+ "\n",
+ "plt.rc(\"figure\", figsize=(16, 8))\n",
+- "plt.rc(\"font\", size=14)"
++ "plt.rc(\"font\", size=14)\n",
++ "np.random.seed(1234) # for reproducibility"
+ ]
+ },
+ {
+--- a/examples/notebooks/robust_models_0.ipynb
++++ b/examples/notebooks/robust_models_0.ipynb
+@@ -24,7 +24,8 @@
+ "source": [
+ "import matplotlib.pyplot as plt\n",
+ "import numpy as np\n",
+- "import statsmodels.api as sm"
++ "import statsmodels.api as sm\n",
++ "np.random.seed(1234) # for reproducibility"
+ ]
+ },
+ {
+--- a/docs/source/emplike.rst
++++ b/docs/source/emplike.rst
+@@ -43,6 +43,7 @@ Examples
+
+ import numpy as np
+ import statsmodels.api as sm
++ np.random.seed(50) # for reproducibility
+
+ # Generate Data
+ x = np.random.standard_normal(50)
--- /dev/null
+Description: Loosen tolerances on some tests on i386
+
+and xfail a test that fails for not producing ConvergenceWarning.
+
+Failure logs:
+test_smoothing
+https://buildd.debian.org/status/fetch.php?pkg=statsmodels&arch=i386&ver=0.9.0-3&stamp=1567157609&raw=0
+test_multivariate_switch_univariate
+https://buildd.debian.org/status/fetch.php?pkg=statsmodels&arch=i386&ver=0.12.0-1&stamp=1599693472&raw=0
+TestMixedLM.test_compare_numdiff
+salsa-ci for 0.14.2-1
+
+As it only fails on i386 and isn't far wrong,
+I suspect different rounding due to x87 excess precision
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Bug-Debian: partly https://bugs.debian.org/938949
+Forwarded: no
+
+--- a/statsmodels/regression/tests/test_lme.py
++++ b/statsmodels/regression/tests/test_lme.py
+@@ -8,6 +8,10 @@ import numpy as np
+ import pandas as pd
+ from scipy import sparse
+ import pytest
++import sys
++import platform
++import re
++i386_looser_tolerances=bool(re.match('i.?86|x86',platform.uname()[4])) and np.log2(sys.maxsize)<33
+
+ from statsmodels.regression.mixed_linear_model import (
+ MixedLM, MixedLMParams, _smw_solver, _smw_logdet)
+@@ -166,7 +170,7 @@ class TestMixedLM:
+ loglike_h = loglike_function(
+ model, profile_fe=False, has_fe=True)
+ nhess = nd.approx_hess(params_vec, loglike_h)
+- assert_allclose(hess, nhess, rtol=1e-3)
++ assert_allclose(hess, nhess, rtol=1.5e-3 if i386_looser_tolerances else 1e-3)
+ except AssertionError:
+ # See GH#5628; because this test fails unpredictably but only on
+ # OSX, we only xfail it there.
+--- a/statsmodels/tsa/statespace/tests/test_smoothing.py
++++ b/statsmodels/tsa/statespace/tests/test_smoothing.py
+@@ -29,8 +29,10 @@ from statsmodels.tsa.statespace.kalman_s
+ SMOOTH_UNIVARIATE)
+
+ current_path = os.path.dirname(os.path.abspath(__file__))
+-
+-
++import sys
++import platform
++import re
++i386_looser_tolerances=bool(re.match('i.?86|x86',platform.uname()[4])) and np.log2(sys.maxsize)<33
+ class TestStatesAR3:
+ @classmethod
+ def setup_class(cls, alternate_timing=False, *args, **kwargs):
+@@ -835,7 +837,7 @@ class TestMultivariateVARUnivariate:
+ def test_forecasts_error_cov(self):
+ assert_allclose(
+ self.results.forecasts_error_cov.diagonal(),
+- self.desired[['F1', 'F2', 'F3']]
++ self.desired[['F1', 'F2', 'F3']],rtol=2e-7 if i386_looser_tolerances else 1e-7
+ )
+
+ def test_predicted_states(self):
+@@ -889,7 +891,7 @@ class TestMultivariateVARUnivariate:
+ def test_smoothed_measurement_disturbance_cov(self):
+ assert_allclose(
+ self.results.smoothed_measurement_disturbance_cov.diagonal(),
+- self.desired[['Veps1', 'Veps2', 'Veps3']]
++ self.desired[['Veps1', 'Veps2', 'Veps3']],rtol=2e-7 if i386_looser_tolerances else 1e-7
+ )
+
+
+--- a/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py
++++ b/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py
+@@ -19,6 +19,10 @@ Princeton, N.J.: Princeton University Pr
+ """
+ import numpy as np
+ import pytest
++import sys
++import platform
++import re
++i386_looser_tolerances=bool(re.match('i.?86|x86',platform.uname()[4])) and np.log2(sys.maxsize)<33
+
+ from statsmodels.tsa.statespace import (
+ mlemodel, sarimax, structural, varmax, dynamic_factor)
+@@ -236,7 +240,7 @@ def test_filter_output(univariate, missi
+ # Test the output when the multivariate filter switches to the univariate
+ # filter
+ mod = get_model(univariate, missing, init)
+- check_filter_output(mod, periods)
++ check_filter_output(mod, periods, atol=1e-10 if i386_looser_tolerances else 0)
+
+
+ @pytest.mark.parametrize('univariate', [True, False])
+@@ -255,7 +259,7 @@ def test_smoother_output(univariate, mis
+ if init == 'diffuse':
+ return
+ mod.ssm.timing_init_filtered = True
+- atol = 1e-12
++ atol = 1e-8 if i386_looser_tolerances else 1e-12
+ # Tolerance is lower for approximate diffuse for one attribute in this case
+ if missing == 'init' and init == 'approximate_diffuse':
+ atol = 1e-6
+--- a/statsmodels/tsa/holtwinters/tests/test_holtwinters.py
++++ b/statsmodels/tsa/holtwinters/tests/test_holtwinters.py
+@@ -7,7 +7,11 @@ from statsmodels.compat.pytest import py
+
+ import os
+ import re
++import sys
++import platform
+ import warnings
++import sys
++import platform
+
+ import numpy as np
+ from numpy.testing import assert_allclose, assert_almost_equal
+@@ -851,7 +855,17 @@ def test_start_params(trend, seasonal):
+ minimize_kwargs={"minimizer_kwargs": {"method": "SLSQP"}},
+ )
+ assert isinstance(res.summary().as_text(), str)
+- assert res2.sse < 1.01 * res.sse
++ if bool(re.match('i.?86|x86',platform.uname()[4])) and sys.maxsize<2**33 and np.isnan(res.sse) and np.isnan(res2.sse):
++ warnings.warn("NaN result: params:"+str(res.params)+" summary:"+str(res.summary().as_text())+"params:"+str(res2.params)+" summary:"+str(res2.summary().as_text()))
++ with pytest.warns(ConvergenceWarning):
++ mod.fit()
++ with pytest.warns(ConvergenceWarning):
++ mod.fit(
++ method="basinhopping",
++ minimize_kwargs={"minimizer_kwargs": {"method": "SLSQP"}},
++ )
++ else:
++ assert res2.sse < 1.01 * res.sse
+ assert isinstance(res2.params, dict)
+
+
+@@ -1624,6 +1638,7 @@ def test_simulate_boxcox(austourists):
+ assert np.all(np.abs(mean - expected) < 5)
+
+
++@pytest.mark.xfail(condition=bool(re.match('i.?86|x86',platform.uname()[4])) and np.log2(sys.maxsize)<33,reason="doesn't warn on i386",strict=False)
+ @pytest.mark.parametrize("ix", [10, 100, 1000, 2000])
+ def test_forecast_index(ix):
+ # GH 6549
+--- a/statsmodels/iolib/tests/test_summary2.py
++++ b/statsmodels/iolib/tests/test_summary2.py
+@@ -1,4 +1,7 @@
+ import warnings
++import platform
++import re
++import sys
+
+ import numpy as np
+ import pandas as pd
+@@ -70,6 +73,22 @@ parentheses.
+ reg2 = OLS(y2, x).fit()
+ actual = summary_col([reg1, reg2], float_format='%0.1f').as_text()
+ actual = '%s\n' % actual
++ if bool(re.match('i.?86|x86',platform.uname()[4])) and sys.maxsize<2**33 and actual== r"""
++==========================
++ y I y II
++--------------------------
++const 7.8 12.4
++ (1.1) (3.2)
++x1 -0.8 -1.6
++ (0.2) (0.7)
++R-squared 0.8 0.6
++R-squared Adj. 0.7 0.5
++==========================
++Standard errors in
++parentheses.
++""": # noqa:W291
++ pytest.xfail()
++
+
+ starred = summary_col([reg1, reg2], stars=True, float_format='%0.1f')
+ assert "7.7***" in str(starred)
+--- a/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py
++++ b/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py
+@@ -898,7 +898,14 @@ class CheckDFM(CheckSSMResults):
+ assert_allclose(self.results_a.initial_diffuse_state_cov, np.eye(2))
+
+
++import pytest
++import re
++import sys
++import platform
++i386_looser_tolerances=bool(re.match('i.?86|x86',platform.uname()[4])) and sys.maxsize<2**33
+ class TestDFM_Approx(CheckApproximateDiffuseMixin, CheckDFM):
++ if i386_looser_tolerances:
++ rtol = 1e-6
+ # Note: somewhat fragile, we need to increase the approximate variance to
+ # 5e10 for the tests to pass at the appropriate level of precision, but
+ # we cannot increase it too much more than this because then we start get
+--- a/statsmodels/discrete/tests/test_truncated_model.py
++++ b/statsmodels/discrete/tests/test_truncated_model.py
+@@ -1,4 +1,8 @@
+ import warnings
++import pytest
++import re
++import sys
++import platform
+
+ import numpy as np
+ from numpy.testing import assert_allclose, assert_equal
+@@ -27,6 +31,7 @@ from .results import results_truncated_s
+
+
+ class CheckResults:
++ xfail_nonconverge = False
+ def test_params(self):
+ assert_allclose(self.res1.params, self.res2.params,
+ atol=1e-5, rtol=1e-5)
+@@ -54,7 +59,10 @@ class CheckResults:
+ with warnings.catch_warnings():
+ warnings.simplefilter("ignore", category=ConvergenceWarning)
+ # This does not catch all Convergence warnings, why?
+- res_reg = model.fit_regularized(alpha=alpha*0.01, disp=0)
++ res_reg = model.fit_regularized(alpha=alpha*0.01, disp=0, full_output=True)
++ if self.xfail_nonconverge and not res_reg.mle_retvals['converged']:
++ warnings.warn("did not converge"+str(res_reg.mle_retvals))
++ pytest.xfail()
+
+ assert_allclose(res_reg.params, self.res1.params,
+ rtol=1e-3, atol=5e-3)
+@@ -72,6 +80,8 @@ class TestTruncatedLFPoissonModel(CheckR
+ res2 = RandHIE()
+ res2.truncated_poisson()
+ cls.res2 = res2
++ if bool(re.match('i.?86|x86',platform.uname()[4])) and np.log2(sys.maxsize)<33:
++ cls.xfail_nonconverge = True
+
+
+ class TestZeroTruncatedLFPoissonModel(CheckResults):
--- /dev/null
+Description: Don't require a warning armel numpy doesn't have
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Forwarded: no (this version requires dpkg)
+
+--- a/statsmodels/stats/tests/test_rates_poisson.py
++++ b/statsmodels/stats/tests/test_rates_poisson.py
+@@ -4,6 +4,12 @@ import numpy as np
+ from numpy import arange
+ from numpy.testing import assert_allclose, assert_equal
+ from scipy import stats
++# armel numpy currently doesn't have the divide-by-0 warning (see 0.14.0-1 build log and https://bugs.debian.org/956882)
++# using nullcontext() instead of warn=None to not start failing if this ever gets fixed
++import subprocess
++import contextlib
++debian_arch = subprocess.run(["dpkg","--print-architecture"],capture_output=True,encoding='utf-8').stdout.strip()
++
+
+ # we cannot import test_poisson_2indep directly, pytest treats that as test
+ import statsmodels.stats.rates as smr
+@@ -716,7 +722,7 @@ class TestMethodsCompare2indep():
+ assert_allclose(tst2.pvalue, tst.pvalue, rtol=rtol)
+
+ # check corner case count2 = 0, see issue #8313
+- with pytest.warns(RuntimeWarning):
++ with (contextlib.nullcontext() if debian_arch=='armel' else pytest.warns(RuntimeWarning)):
+ tst = smr.test_poisson_2indep(count1, n1, 0, n2, method=meth,
+ compare=compare,
+ value=None, alternative='two-sided')
--- /dev/null
+Description: Ignore a failure to converge on mipsel and armel
+
+(Seen to fail in 0.13.5+dfsg-5, twice on mipsel, and in 0.14.0 on armel.
+Not a plain mark.xfail to not accept "converged" to the wrong answer.)
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Forwarded: no
+
+--- a/statsmodels/stats/tests/test_corrpsd.py
++++ b/statsmodels/stats/tests/test_corrpsd.py
+@@ -5,6 +5,8 @@ Created on Mon May 27 12:07:02 2013
+ Author: Josef Perktold
+ """
+ import warnings
++import subprocess
++debian_arch = subprocess.run(["dpkg","--print-architecture"],capture_output=True,encoding='utf-8').stdout.strip()
+
+ import numpy as np
+ from numpy.testing import assert_almost_equal, assert_allclose
+@@ -330,6 +332,9 @@ class Test_Factor:
+
+ mat_dense = dense_rslt.corr.to_matrix()
+ mat_sparse = sparse_rslt.corr.to_matrix()
++ if (debian_arch.startswith('mips') or debian_arch=='armel') and not sparse_rslt.Converged:
++ warnings.warn("ignoring non-convergence")
++ pytest.xfail()
+
+ assert dense_rslt.Converged is sparse_rslt.Converged
+ assert dense_rslt.Converged is True
--- /dev/null
+Description: Ignore extra warnings that may occur on mips*
+
+Some mips* hardware seems to emit
+RuntimeWarning: invalid value encountered in multiply
+on multiplication by explicit np.nan, which breaks these tests.
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Forwarded: no
+
+--- a/statsmodels/discrete/tests/test_discrete.py
++++ b/statsmodels/discrete/tests/test_discrete.py
+@@ -27,6 +27,7 @@ import pandas as pd
+ import pytest
+ from scipy import stats
+ from scipy.stats import nbinom
++import platform
+
+ import statsmodels.api as sm
+ from statsmodels.discrete.discrete_margins import _iscount, _isdummy
+@@ -2540,7 +2541,8 @@ def test_optim_kwds_prelim():
+ def test_unchanging_degrees_of_freedom():
+ data = load_randhie()
+ # see GH3734
+- warnings.simplefilter('error')
++ if 'mips' not in platform.uname()[4]:
++ warnings.simplefilter('error')
+ model = sm.NegativeBinomial(data.endog, data.exog, loglike_method='nb2')
+ params = np.array([-0.05654134, -0.21213734, 0.08783102, -0.02991825,
+ 0.22902315, 0.06210253, 0.06799444, 0.08406794,
+--- a/statsmodels/regression/tests/test_regression.py
++++ b/statsmodels/regression/tests/test_regression.py
+@@ -5,6 +5,7 @@ Test functions for models.regression
+ from statsmodels.compat.python import lrange
+
+ import warnings
++import platform
+
+ import numpy as np
+ from numpy.testing import (
+@@ -1606,7 +1607,8 @@ def test_ols_constant(reset_randomstate)
+ with warnings.catch_warnings(record=True) as recording:
+ assert np.isnan(res.fvalue)
+ assert np.isnan(res.f_pvalue)
+- assert len(recording) == 0
++ if 'mips' not in platform.uname()[4]:
++ assert len(recording) == 0
+
+
+ def test_summary_no_constant():
+--- a/statsmodels/tsa/holtwinters/tests/test_holtwinters.py
++++ b/statsmodels/tsa/holtwinters/tests/test_holtwinters.py
+@@ -18,6 +18,8 @@ from numpy.testing import assert_allclos
+ import pandas as pd
+ import pytest
+ import scipy.stats
++import contextlib
++import platform
+
+ from statsmodels.tools.sm_exceptions import ConvergenceWarning, ValueWarning
+ from statsmodels.tsa.holtwinters import (
+@@ -835,8 +837,9 @@ def test_infer_freq():
+ mod = ExponentialSmoothing(
+ hd2, trend="add", seasonal="add", initialization_method="estimated"
+ )
+- assert len(w) == 1
+- assert "ValueWarning" in str(w[0])
++ if 'mips' not in platform.uname()[4]:
++ assert len(w) == 1
++ assert "ValueWarning" in str(w[0])+str(w[-1])
+ assert mod.seasonal_periods == 12
+
+
+@@ -2026,7 +2029,7 @@ def test_forecast_index_types(ses, index
+ ses = ses.copy()
+ ses.index = index[:-36]
+
+- with pytest_warns(warning):
++ with (contextlib.nullcontext() if (warning is None and 'mips' in platform.uname()[4]) else pytest_warns(warning)):
+ res = ExponentialSmoothing(
+ ses,
+ trend="add",
+@@ -2034,7 +2037,7 @@ def test_forecast_index_types(ses, index
+ initialization_method="heuristic",
+ **kwargs
+ ).fit()
+- with pytest_warns(warning):
++ with (contextlib.nullcontext() if (warning is None and 'mips' in platform.uname()[4]) else pytest_warns(warning)):
+ fcast = res.forecast(36)
+ assert isinstance(fcast, pd.Series)
+ pd.testing.assert_index_equal(fcast.index, fcast_index)
--- /dev/null
+Description: Ignore missing HessianInversionWarning on some mips*
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Forwarded: no
+
+--- a/statsmodels/base/tests/test_generic_methods.py
++++ b/statsmodels/base/tests/test_generic_methods.py
+@@ -9,6 +9,8 @@ Created on Wed Oct 30 14:01:27 2013
+
+ Author: Josef Perktold
+ """
++import platform
++import contextlib
+ from statsmodels.compat.pytest import pytest_warns
+ from statsmodels.compat.pandas import assert_index_equal, assert_series_equal
+ from statsmodels.compat.platform import (
+@@ -228,7 +230,7 @@ class CheckGenericMixin:
+ start_params=sp,
+ method=method, disp=0)
+ else:
+- with pytest_warns(warn_cls):
++ with (contextlib.nullcontext() if ((warn_cls is not None) and ('mips' in platform.uname()[4])) else pytest_warns(warn_cls)):
+ # more special casing RLM
+ if (isinstance(self.results.model, (sm.RLM))):
+ res1 = mod._fit_collinear()
--- /dev/null
+Description: Don't try to use a theme we don't have
+
+Upstream switched to sphinx_material in
+1d7aafad5c3ad634c9ae2122881c1809c2ccbcbe
+and later to sphinx_immaterial; Debian doesn't have those themes.
+
+(I haven't investigated packaging it, which might be a better long-term option.)
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Forwarded: not-needed
+
+--- a/docs/source/conf.py
++++ b/docs/source/conf.py
+@@ -55,7 +55,6 @@ extensions = ['sphinx.ext.autodoc',
+ 'matplotlib.sphinxext.plot_directive',
+ 'IPython.sphinxext.ipython_console_highlighting',
+ 'IPython.sphinxext.ipython_directive',
+- "sphinx_immaterial",
+ ]
+
+ try:
+@@ -162,7 +161,7 @@ pygments_style = 'default'
+ # The theme to use for HTML and HTML Help pages. See the documentation for
+ # a list of builtin themes.
+
+-html_theme = 'sphinx_immaterial'
++html_theme = 'nature'
+ html_title = project
+ html_short_title = project
+ html_extra_path = ['version_info/versions-v3.json']
+@@ -247,7 +246,7 @@ html_static_path = ['_static']
+
+ # Custom sidebar templates, maps document names to template names.
+ html_sidebars = {
+- "**": ["logo-text.html", "globaltoc.html", "localtoc.html", "searchbox.html"]
++ "**": ["globaltoc.html", "localtoc.html", "searchbox.html"]
+ }
+
+ # Additional templates that should be rendered to pages, maps page names to
--- /dev/null
+Description: Use Python 3 in script shebangs
+
+(Skipping the two .pyx files with #!python - they need to be compiled
+with Cython, not directly run with any version of plain Python)
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Forwarded: no
+
+--- a/archive/docs/fix_longtable.py
++++ b/archive/docs/fix_longtable.py
+@@ -1,4 +1,4 @@
+-#!/usr/bin/env python
++#!/usr/bin/env python3
+ import sys
+ import os
+
+--- a/examples/python/plots_boxplots.py
++++ b/examples/python/plots_boxplots.py
+@@ -1,4 +1,4 @@
+-#!/usr/bin/env python
++#!/usr/bin/env python3
+
+ # DO NOT EDIT
+ # Autogenerated from the notebook plots_boxplots.ipynb.
+--- a/examples/python/robust_models_1.py
++++ b/examples/python/robust_models_1.py
+@@ -1,4 +1,4 @@
+-#!/usr/bin/env python
++#!/usr/bin/env python3
+
+ # DO NOT EDIT
+ # Autogenerated from the notebook robust_models_1.ipynb.
+--- a/statsmodels/regression/quantile_regression.py
++++ b/statsmodels/regression/quantile_regression.py
+@@ -1,4 +1,4 @@
+-#!/usr/bin/env python
++#!/usr/bin/env python3
+
+ '''
+ Quantile regression model
+--- a/statsmodels/sandbox/examples/example_pca.py
++++ b/statsmodels/sandbox/examples/example_pca.py
+@@ -1,4 +1,4 @@
+-#!/usr/bin/env python
++#!/usr/bin/env python3
+
+ import numpy as np
+ from statsmodels.sandbox.pca import Pca
+--- a/statsmodels/tools/print_version.py
++++ b/statsmodels/tools/print_version.py
+@@ -1,4 +1,4 @@
+-#!/usr/bin/env python
++#!/usr/bin/env python3
+ from functools import reduce
+ import sys
+ from os.path import dirname
+--- a/tools/export_notebooks_to_python.py
++++ b/tools/export_notebooks_to_python.py
+@@ -1,4 +1,4 @@
+-#!/usr/bin/env python
++#!/usr/bin/env python3
+ import argparse
+ import glob
+ import logging
+--- a/tools/generate_formula_api.py
++++ b/tools/generate_formula_api.py
+@@ -1,4 +1,4 @@
+-#!/usr/bin/env python
++#!/usr/bin/env python3
+ """
+ This will generate an API file for formula in dir/statsmodels/formula/api.py
+
--- /dev/null
+Description: Remove code from Stack Overflow and wasteful loop
+
+Stack Overflow content is CC-BY-SA licensed,
+which this package is not supposed to be. This snippet may be
+too small to be copyrightable, but removing it to be safe.
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Forwarded: no
+
+--- a/statsmodels/examples/ex_generic_mle_tdist.py
++++ b/statsmodels/examples/ex_generic_mle_tdist.py
+@@ -197,6 +197,9 @@ class MyPareto(GenericLikelihoodModel):
+ this does not trim lower values during ks optimization
+
+ '''
++ # all 3 of these are based on
++ # https://stackoverflow.com/questions/3242326/fitting-a-pareto-distribution-with-python-scipy
++ # validly licensed because the same person added it there and here
+ rvs = self.endog
+ rvsmin = rvs.min()
+ fixdf = np.nan * np.ones(3)
+--- a/statsmodels/graphics/regressionplots.py
++++ b/statsmodels/graphics/regressionplots.py
+@@ -435,11 +435,12 @@ def plot_partregress(endog, exog_i, exog
+ ax.set_ylabel("e(%s | X)" % y_axis_endog_name)
+ ax.set_title('Partial Regression Plot', **title_kwargs)
+
+- # NOTE: if we want to get super fancy, we could annotate if a point is
+- # clicked using this widget
++ # NOTE: it is possible to annotate if a point is clicked using
+ # http://stackoverflow.com/questions/4652439/
+ # is-there-a-matplotlib-equivalent-of-matlabs-datacursormode/
+ # 4674445#4674445
++ # but for licensing reasons this is _not_ to be directly copied
++ # into statsmodels itself
+ if obs_labels is True:
+ if data is not None:
+ obs_labels = data.index
+--- a/statsmodels/tools/sequences.py
++++ b/statsmodels/tools/sequences.py
+@@ -61,24 +61,22 @@ def primes_from_2_to(n):
+ Parameters
+ ----------
+ n : int
+- Sup bound with ``n >= 6``.
++ Upper limit (exclusive).
+
+ Returns
+ -------
+ primes : list(int)
+ Primes in ``2 <= p < n``.
+-
+- References
+- ----------
+- [1] `StackOverflow <https://stackoverflow.com/questions/2068372>`_.
+ """
+- sieve = np.ones(n // 3 + (n % 6 == 2), dtype=bool)
+- for i in range(1, int(n ** 0.5) // 3 + 1):
+- if sieve[i]:
+- k = 3 * i + 1 | 1
+- sieve[k * k // 3::2 * k] = False
+- sieve[k * (k - 2 * (i & 1) + 4) // 3::2 * k] = False
+- return np.r_[2, 3, ((3 * np.nonzero(sieve)[0][1:] + 1) | 1)]
++ isprime = np.ones((n - 2,)) # 2...n-1, so indices offset by 2 from values
++ endidx = int(np.sqrt(n)) - 1
++ nextprime = 2
++ while True:
++ isprime[nextprime * nextprime - 2::nextprime] = 0
++ nextps = np.nonzero(isprime[nextprime - 1:endidx])[0]
++ if len(nextps) == 0:
++ return np.nonzero(isprime)[0] + 2
++ nextprime = nextprime + nextps[0] + 1
+
+
+ def n_primes(n):
+@@ -109,12 +107,13 @@ def n_primes(n):
+ 953, 967, 971, 977, 983, 991, 997][:n]
+
+ if len(primes) < n:
+- big_number = 10
+- while 'Not enought primes':
++ # this should always be enough - Rosser (1941)
++ big_number = int(n * (np.log(n) + np.log(np.log(n))))
++ while True: # not enough primes
+ primes = primes_from_2_to(big_number)[:n]
+ if len(primes) == n:
+ break
+- big_number += 1000
++ big_number = int(big_number * 1.5)
+
+ return primes
+
--- /dev/null
+use_cached_datasets.patch
+use_system_inventory.patch
+use_available_data.patch
+i386_loosen_test_tolerances.patch
+python3_shebangs.patch
+use_tmp_path.patch
+no_sphinx_material.patch
+sphinx_ignore_errors.patch
+sphinx_local_requirejs.patch
+xfail_no_multiprocessing.patch
+remove_ccbysa_snippet.patch
+997081_xfail.patch
+xfail_i386_ets.patch
+1014884_loosen_test_tolerances.patch
+1020060_loosen_test_tolerance.patch
+mips_ignore_nonwarning.patch
+1030208_scipy1p10.patch
+mips_armel_ignore_nonconverge.patch
+xfail_out_of_memory.patch
+ignore_armel_nonwarning.patch
+mips_ignore_nan_warnings.patch
+cython3p0_compat.patch
+fix_random_seeds.patch
+xfail_dynamic_factor_news_bigendian.patch
--- /dev/null
+Description: Don't fail documentation build on examples exceptions
+
+If example code outputs an error when run,
+ipython (ipython:: blocks) now fails the whole build by default,
+and tools/nbgenerate.py (.ipynb files) now leaves out that file
+(leaving a broken link in the examples index).
+
+As some examples use downloaded data and are hence expected to be
+unrunnable on a Debian buildd, this instead keeps them
+(::ipython with error output, .ipynb without output).
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Forwarded: not-needed
+
+--- a/docs/source/conf.py
++++ b/docs/source/conf.py
+@@ -66,6 +66,7 @@ else:
+
+ # nbsphinx options
+ nbsphinx_allow_errors = True
++ipython_warning_is_error = False
+ # sphinxcontrib-spelling options
+ spelling_word_list_filename = ['spelling_wordlist.txt', 'names_wordlist.txt']
+ spelling_ignore_pypi_package_names = True
+--- a/docs/Makefile
++++ b/docs/Makefile
+@@ -34,6 +34,8 @@ html:
+ mkdir -p $(BUILDDIR)/source/examples/notebooks/generated
+ # Black list notebooks from doc build here
+ $(TOOLSPATH)$(NOTEBOOKBUILD) --parallel --report-errors --skip-existing --execute-only --execution-blacklist statespace_custom_models
++ @echo "Copying notebooks that failed execution (there are usually several in Debian because some need network and/or dependencies we don't have)"
++ cp -nav ../examples/notebooks/*.ipynb -t source/examples/notebooks/generated || true
+ @echo "Running sphinx-build"
+ @echo @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) $(O)
+ @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) $(O)
--- /dev/null
+Description: Use local requirejs/mathjax
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Forwarded: not-needed
+
+--- a/docs/source/conf.py
++++ b/docs/source/conf.py
+@@ -66,6 +66,8 @@ else:
+
+ # nbsphinx options
+ nbsphinx_allow_errors = True
++nbsphinx_requirejs_path="require.min.js"
++mathjax_path="MathJax.js"
+ ipython_warning_is_error = False
+ # sphinxcontrib-spelling options
+ spelling_word_list_filename = ['spelling_wordlist.txt', 'names_wordlist.txt']
--- /dev/null
+Description: Use example data from an R package we have
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Forwarded: not-needed
+
+--- a/examples/notebooks/generic_mle.ipynb
++++ b/examples/notebooks/generic_mle.ipynb
+@@ -311,10 +311,10 @@
+ "\n",
+ "### Usage Example\n",
+ "\n",
+- "The [Medpar](https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/doc/COUNT/medpar.html)\n",
++ "The [epilepsy](https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/doc/robustbase/epilepsy.html)\n",
+ "dataset is hosted in CSV format at the [Rdatasets repository](https://raw.githubusercontent.com/vincentarelbundock/Rdatasets). We use the ``read_csv``\n",
+ "function from the [Pandas library](https://pandas.pydata.org) to load the data\n",
+- "in memory. We then print the first few columns: \n"
++ "in memory. We then print the first few entries: \n"
+ ]
+ },
+ {
+@@ -340,9 +340,9 @@
+ },
+ "outputs": [],
+ "source": [
+- "medpar = sm.datasets.get_rdataset(\"medpar\", \"COUNT\", cache=True).data\n",
++ "epilepsy = sm.datasets.get_rdataset(\"epilepsy\", \"robustbase\", cache=True).data\n",
+ "\n",
+- "medpar.head()"
++ "epilepsy.head()"
+ ]
+ },
+ {
+@@ -350,8 +350,8 @@
+ "metadata": {},
+ "source": [
+ "The model we are interested in has a vector of non-negative integers as\n",
+- "dependent variable (``los``), and 5 regressors: ``Intercept``, ``type2``,\n",
+- "``type3``, ``hmo``, ``white``.\n",
++ "dependent variable (``Ysum``), and 3 regressors: ``Intercept``, ``Base``,\n",
++ "``Trt``.\n",
+ "\n",
+ "For estimation, we need to create two variables to hold our regressors and the outcome variable. These can be ndarrays or pandas objects."
+ ]
+@@ -366,8 +366,9 @@
+ },
+ "outputs": [],
+ "source": [
+- "y = medpar.los\n",
+- "X = medpar[[\"type2\", \"type3\", \"hmo\", \"white\"]].copy()\n",
++ "y = epilepsy.Ysum\n",
++ "epilepsy[\"Trtnum\"]=epilepsy[\"Trt\"].map({\"placebo\": 0, \"progabide\": 1})\n",
++ "X = epilepsy[[\"Base\", \"Trtnum\"]].copy()\n",
+ "X[\"constant\"] = 1"
+ ]
+ },
+@@ -495,25 +496,42 @@
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+- "Or we could compare them to results obtained using the MASS implementation for R:\n",
+- "\n",
+- " url = 'https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/csv/COUNT/medpar.csv'\n",
+- " medpar = read.csv(url)\n",
+- " f = los~factor(type)+hmo+white\n",
+- " \n",
+- " library(MASS)\n",
+- " mod = glm.nb(f, medpar)\n",
+- " coef(summary(mod))\n",
+- " Estimate Std. Error z value Pr(>|z|)\n",
+- " (Intercept) 2.31027893 0.06744676 34.253370 3.885556e-257\n",
+- " factor(type)2 0.22124898 0.05045746 4.384861 1.160597e-05\n",
+- " factor(type)3 0.70615882 0.07599849 9.291748 1.517751e-20\n",
+- " hmo -0.06795522 0.05321375 -1.277024 2.015939e-01\n",
+- " white -0.12906544 0.06836272 -1.887951 5.903257e-02\n",
+- "\n",
++ "Or we could compare them to results obtained using the MASS implementation for R:\n"
++ ]
++ },
++ {
++ "cell_type": "code",
++ "execution_count": null,
++ "metadata": {
++ "collapsed": false
++ },
++ "outputs": [],
++ "source": [
++ "%load_ext rpy2.ipython"
++ ]
++ },
++ {
++ "cell_type": "code",
++ "execution_count": null,
++ "metadata": {
++ "collapsed": false
++ },
++ "outputs": [],
++ "source": [
++ "%R f = Ysum~factor(Trt)+Base\n",
++ "%R data(epilepsy,package='robustbase')\n",
++ "%R library(MASS)\n",
++ "%R mod = glm.nb(f, epilepsy)\n",
++ "%R print(coef(summary(mod)))\n"
++ ]
++ },
++ {
++ "cell_type": "markdown",
++ "metadata": {},
++ "source": [
+ "### Numerical precision \n",
+ "\n",
+- "The ``statsmodels`` generic MLE and ``R`` parameter estimates agree up to the fourth decimal. The standard errors, however, agree only up to the second decimal. This discrepancy is the result of imprecision in our Hessian numerical estimates. In the current context, the difference between ``MASS`` and ``statsmodels`` standard error estimates is substantively irrelevant, but it highlights the fact that users who need very precise estimates may not always want to rely on default settings when using numerical derivatives. In such cases, it is better to use analytical derivatives with the ``LikelihoodModel`` class."
++ "The ``statsmodels`` generic MLE and ``R`` parameter estimates agree up to the fourth decimal. The standard errors, however, agree only up to the first decimal. This discrepancy is the result of imprecision in our Hessian numerical estimates. In the current context, the difference between ``MASS`` and ``statsmodels`` standard error estimates is substantively irrelevant, but it highlights the fact that users who need very precise estimates may not always want to rely on default settings when using numerical derivatives. In such cases, it is better to use analytical derivatives with the ``LikelihoodModel`` class."
+ ]
+ }
+ ],
--- /dev/null
+Description: Use cached datasets in tests and examples
+
+Also remove a download that isn't actually used in that example.
+
+This allows the tests to pass, and at least some of the examples to
+be built, in an offline environment such as a Debian buildd.
+
+The cached data is extracted from R packages by debian/datasets/*.
+
+Author: Diane Trout <diane@ghic.org>, Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Forwarded: not-needed
+
+--- a/docs/source/contingency_tables.rst
++++ b/docs/source/contingency_tables.rst
+@@ -49,7 +49,7 @@ contingency table cell counts:
+ import pandas as pd
+ import statsmodels.api as sm
+
+- df = sm.datasets.get_rdataset("Arthritis", "vcd").data
++ df = sm.datasets.get_rdataset("Arthritis", "vcd", cache=True).data
+ df.fillna({"Improved":"None"}, inplace=True)
+
+ tab = pd.crosstab(df['Treatment'], df['Improved'])
+@@ -185,7 +185,7 @@ contingency table.
+
+ .. ipython:: python
+
+- df = sm.datasets.get_rdataset("VisualAcuity", "vcd").data
++ df = sm.datasets.get_rdataset("VisualAcuity", "vcd", cache=True).data
+ df = df.loc[df.gender == "female", :]
+ tab = df.set_index(['left', 'right'])
+ del tab["gender"]
+--- a/docs/source/duration.rst
++++ b/docs/source/duration.rst
+@@ -42,7 +42,7 @@ We fit the survival distribution only fo
+
+ import statsmodels.api as sm
+
+- data = sm.datasets.get_rdataset("flchain", "survival").data
++ data = sm.datasets.get_rdataset("flchain", "survival", cache=True).data
+ df = data.loc[data.sex == "F", :]
+ sf = sm.SurvfuncRight(df["futime"], df["death"])
+
+@@ -169,7 +169,7 @@ depending on the value of the covariates
+ import statsmodels.api as sm
+ import statsmodels.formula.api as smf
+
+- data = sm.datasets.get_rdataset("flchain", "survival").data
++ data = sm.datasets.get_rdataset("flchain", "survival", cache=True).data
+ del data["chapter"]
+ data = data.dropna()
+ data["lam"] = data["lambda"]
+--- a/docs/source/example_formulas.rst
++++ b/docs/source/example_formulas.rst
+@@ -47,7 +47,7 @@ and list-wise delete to remove missing o
+
+ .. ipython:: python
+
+- df = sm.datasets.get_rdataset("Guerry", "HistData").data
++ df = sm.datasets.get_rdataset("Guerry", "HistData", cache=True).data
+ df = df[['Lottery', 'Literacy', 'Wealth', 'Region']].dropna()
+ df.head()
+
+--- a/docs/source/gee.rst
++++ b/docs/source/gee.rst
+@@ -24,7 +24,7 @@ within clusters using data on epilepsy s
+ import statsmodels.api as sm
+ import statsmodels.formula.api as smf
+
+- data = sm.datasets.get_rdataset('epil', package='MASS').data
++ data = sm.datasets.get_rdataset('epil', package='MASS', cache=True).data
+
+ fam = sm.families.Poisson()
+ ind = sm.cov_struct.Exchangeable()
+--- a/docs/source/gettingstarted.rst
++++ b/docs/source/gettingstarted.rst
+@@ -50,7 +50,7 @@ We could download the file locally and t
+
+ .. ipython:: python
+
+- df = sm.datasets.get_rdataset("Guerry", "HistData").data
++ df = sm.datasets.get_rdataset("Guerry", "HistData", cache=True).data
+
+ The `Input/Output doc page <iolib.html>`_ shows how to import from various
+ other formats.
+--- a/docs/source/index.rst
++++ b/docs/source/index.rst
+@@ -25,7 +25,7 @@ Here is a simple example using ordinary
+ import statsmodels.formula.api as smf
+
+ # Load data
+- dat = sm.datasets.get_rdataset("Guerry", "HistData").data
++ dat = sm.datasets.get_rdataset("Guerry", "HistData", cache=True).data
+
+ # Fit regression model (using the natural log of one of the regressors)
+ results = smf.ols('Lottery ~ Literacy + np.log(Pop1831)', data=dat).fit()
+--- a/docs/source/mixed_linear.rst
++++ b/docs/source/mixed_linear.rst
+@@ -83,7 +83,7 @@ Examples
+ import statsmodels.api as sm
+ import statsmodels.formula.api as smf
+
+- data = sm.datasets.get_rdataset("dietox", "geepack").data
++ data = sm.datasets.get_rdataset("dietox", "geepack", cache=True).data
+
+ md = smf.mixedlm("Weight ~ Time", data, groups=data["Pig"])
+ mdf = md.fit()
+--- a/docs/source/release/version0.6.rst
++++ b/docs/source/release/version0.6.rst
+@@ -41,7 +41,7 @@ covariates.
+ import statsmodels.api as sm
+ import statsmodels.formula.api as smf
+
+- data = sm.datasets.get_rdataset("epil", "MASS").data
++ data = sm.datasets.get_rdataset("epil", "MASS", cache=True).data
+
+ md = smf.gee("y ~ age + trt + base", "subject", data,
+ cov_struct=sm.cov_struct.Independence(),
+--- a/docs/source/datasets/index.rst
++++ b/docs/source/datasets/index.rst
+@@ -30,7 +30,7 @@ The `Rdatasets project <https://vincenta
+ .. ipython:: python
+
+ import statsmodels.api as sm
+- duncan_prestige = sm.datasets.get_rdataset("Duncan", "carData")
++ duncan_prestige = sm.datasets.get_rdataset("Duncan", "carData", cache=True)
+ print(duncan_prestige.__doc__)
+ duncan_prestige.data.head(5)
+
+--- a/examples/notebooks/markov_regression.ipynb
++++ b/examples/notebooks/markov_regression.ipynb
+@@ -30,14 +30,7 @@
+ "import pandas as pd\n",
+ "import statsmodels.api as sm\n",
+ "import matplotlib.pyplot as plt\n",
+- "\n",
+- "# NBER recessions\n",
+- "from pandas_datareader.data import DataReader\n",
+- "from datetime import datetime\n",
+- "\n",
+- "usrec = DataReader(\n",
+- " \"USREC\", \"fred\", start=datetime(1947, 1, 1), end=datetime(2013, 4, 1)\n",
+- ")"
++ "from datetime import datetime\n"
+ ]
+ },
+ {
+--- a/examples/notebooks/mixed_lm_example.ipynb
++++ b/examples/notebooks/mixed_lm_example.ipynb
+@@ -86,7 +86,7 @@
+ "metadata": {},
+ "outputs": [],
+ "source": [
+- "data = sm.datasets.get_rdataset(\"dietox\", \"geepack\").data\n",
++ "data = sm.datasets.get_rdataset(\"dietox\", \"geepack\", cache=True).data\n",
+ "md = smf.mixedlm(\"Weight ~ Time\", data, groups=data[\"Pig\"])\n",
+ "mdf = md.fit(method=[\"lbfgs\"])\n",
+ "print(mdf.summary())"
+@@ -318,7 +318,7 @@
+ "metadata": {},
+ "outputs": [],
+ "source": [
+- "data = sm.datasets.get_rdataset(\"Sitka\", \"MASS\").data\n",
++ "data = sm.datasets.get_rdataset(\"Sitka\", \"MASS\", cache=True).data\n",
+ "endog = data[\"size\"]\n",
+ "data[\"Intercept\"] = 1\n",
+ "exog = data[[\"Intercept\", \"Time\"]]"
+--- a/examples/notebooks/regression_diagnostics.ipynb
++++ b/examples/notebooks/regression_diagnostics.ipynb
+@@ -47,8 +47,8 @@
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "# Load data\n",
+- "url = \"https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/master/csv/HistData/Guerry.csv\"\n",
+- "dat = pd.read_csv(url)\n",
++ "import statsmodels.datasets\n",
++ "dat = statsmodels.datasets.get_rdataset(\"Guerry\", \"HistData\", cache=True).data\n",
+ "\n",
+ "# Fit regression model (using the natural log of one of the regressors)\n",
+ "results = smf.ols(\"Lottery ~ Literacy + np.log(Pop1831)\", data=dat).fit()\n",
+--- a/statsmodels/stats/tests/test_dist_dependant_measures.py
++++ b/statsmodels/stats/tests/test_dist_dependant_measures.py
+@@ -140,7 +140,7 @@ class TestDistDependenceMeasures:
+ 0.1025087
+ """
+ try:
+- iris = get_rdataset("iris").data.values[:, :4]
++ iris = get_rdataset("iris", cache=True).data.values[:, :4]
+ except IGNORED_EXCEPTIONS:
+ pytest.skip('Failed with HTTPError or URLError, these are random')
+
+@@ -180,7 +180,7 @@ class TestDistDependenceMeasures:
+ 30.01526
+ """
+ try:
+- quakes = get_rdataset("quakes").data.values[:, :3]
++ quakes = get_rdataset("quakes", cache=True).data.values[:, :3]
+ except IGNORED_EXCEPTIONS:
+ pytest.skip('Failed with HTTPError or URLError, these are random')
+
--- /dev/null
+Author: Diane Trout <diane@ghic.org>, Rebecca N. Palmer
+Description: Use intersphinx inventory files from other Debian packages.
+Forwarded: not-needed
+
+--- a/docs/source/conf.py
++++ b/docs/source/conf.py
+@@ -400,12 +400,12 @@ nbsphinx_execute = "never"
+ # Example configuration for intersphinx: refer to the Python standard library.
+ # Example configuration for intersphinx: refer to the Python standard library.
+ intersphinx_mapping = {
+- 'numpy': ('https://docs.scipy.org/doc/numpy/', None),
+- 'python': ('https://docs.python.org/3/', None),
++ 'numpy': ('https://docs.scipy.org/doc/numpy/', None), # no longer has a -doc in Debian '/usr/share/doc/python-numpy-doc/html/objects.inv'),
++ 'python': ('https://docs.python.org/3/', '/usr/share/doc/python3-doc/html/objects.inv'),
+ 'pydagogue': ('https://matthew-brett.github.io/pydagogue/', None),
+ 'matplotlib': ('https://matplotlib.org/', None),
+- 'scipy': ('https://docs.scipy.org/doc/scipy/reference/', None),
+- 'pandas': ('https://pandas.pydata.org/pandas-docs/stable/', None),
++ 'scipy': ('https://docs.scipy.org/doc/scipy/reference/', '/usr/share/doc/python-scipy-doc/html/objects.inv'),
++ 'pandas': ('https://pandas.pydata.org/pandas-docs/stable/', '/usr/share/doc/python-pandas-doc/html/objects.inv'),
+ }
+
+ plot_basedir = join(dirname(dirname(os.path.abspath(__file__))), 'source')
--- /dev/null
+Description: Don't try to write to the source directory
+
+Not allowed in autopkgtest
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Forwarded: no
+
+--- a/statsmodels/datasets/tests/test_utils.py
++++ b/statsmodels/datasets/tests/test_utils.py
+@@ -9,45 +9,43 @@ import pytest
+
+ from statsmodels.datasets import get_rdataset, webuse, check_internet, utils
+
+-cur_dir = os.path.dirname(os.path.abspath(__file__))
+-
+ IGNORED_EXCEPTIONS = (HTTPError, URLError, SSLError, UnicodeEncodeError,
+ timeout)
+
+
+ @pytest.mark.smoke
+-def test_get_rdataset():
++def test_get_rdataset(tmp_path):
+ test_url = "https://raw.githubusercontent.com/vincentarelbundock/" \
+ "Rdatasets/master/csv/datasets/cars.csv"
+ internet_available = check_internet(test_url)
+ if not internet_available: # pragma: no cover
+ pytest.skip('Unable to retrieve file - skipping test')
+ try:
+- duncan = get_rdataset("Duncan", "carData", cache=cur_dir)
++ duncan = get_rdataset("Duncan", "carData", cache=tmp_path)
+ except IGNORED_EXCEPTIONS:
+ pytest.skip('Failed with HTTPError or URLError, these are random')
+ assert_(isinstance(duncan, utils.Dataset))
+- duncan = get_rdataset("Duncan", "carData", cache=cur_dir)
++ duncan = get_rdataset("Duncan", "carData", cache=tmp_path)
+ assert_(duncan.from_cache)
+
+
+ @pytest.mark.smoke
+-def test_get_rdataset_write_read_cache():
++def test_get_rdataset_write_read_cache(tmp_path):
+ # test writing and reading cache
+ try:
+- guerry = get_rdataset("Guerry", "HistData", cache=cur_dir)
++ guerry = get_rdataset("Guerry", "HistData", cache=tmp_path)
+ except IGNORED_EXCEPTIONS:
+ pytest.skip('Failed with HTTPError or URLError, these are random')
+
+ assert_(guerry.from_cache is False)
+- guerry2 = get_rdataset("Guerry", "HistData", cache=cur_dir)
++ guerry2 = get_rdataset("Guerry", "HistData", cache=tmp_path)
+ assert_(guerry2.from_cache is True)
+ fn = "raw.githubusercontent.com,vincentarelbundock,Rdatasets,master,csv," \
+ "HistData,Guerry-v2.csv.zip"
+- os.remove(os.path.join(cur_dir, fn))
++ os.remove(os.path.join(tmp_path, fn))
+ fn = "raw.githubusercontent.com,vincentarelbundock,Rdatasets,master,doc," \
+ "HistData,rst,Guerry-v2.rst.zip"
+- os.remove(os.path.join(cur_dir, fn))
++ os.remove(os.path.join(tmp_path, fn))
+
+
+ def test_webuse():
--- /dev/null
+Description: Ignore test exception on big-endian systems
+
+failed in 0.14.1+dfsg-1
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Forwarded: no
+
+--- a/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py
++++ b/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py
+@@ -405,6 +405,8 @@ def test_emstep_methods_nonmissing(matla
+ assert_allclose(H_nonmissing, H, atol=1e-13)
+
+
++import sys
++@pytest.mark.xfail(condition=sys.byteorder=='big',reason="fails on big-endian, see 0.14.1+dfsg-1 build logs",raises=ValueError,strict=False)
+ @pytest.mark.parametrize("run", ['news_112', 'news_222', 'news_block_112',
+ pytest.param('news_block_222',marks=pytest.mark.xfail(condition=sys.maxsize<2**33,reason="too memory-heavy for armel,armhf,mipsel",raises=MemoryError,strict=False))])
+ def test_news(matlab_results, run):
--- /dev/null
+Description: test_seasonal_order fails on i386
+
+Warn on use and xfail
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Forwarded: no
+
+--- a/statsmodels/tsa/exponential_smoothing/ets.py
++++ b/statsmodels/tsa/exponential_smoothing/ets.py
+@@ -171,6 +171,13 @@ from statsmodels.tsa.exponential_smoothi
+ )
+ from statsmodels.tsa.tsatools import freq_to_period
+
++import warnings
++import sys
++import platform
++import re
++warn_ets = "ETSModel can give wrong results on 32 bit i386" if (bool(re.match('i.?86|x86',platform.uname()[4])) and sys.maxsize<2**33) else False
++
++
+ # Implementation details:
+
+ # * The smoothing equations are implemented only for models having all
+@@ -426,6 +433,8 @@ class ETSModel(base.StateSpaceMLEModel):
+ missing="none",
+ ):
+
++ if warn_ets:
++ warnings.warn(warn_ets)
+ super().__init__(
+ endog, exog=None, dates=dates, freq=freq, missing=missing
+ )
+--- a/statsmodels/tsa/tests/test_exponential_smoothing.py
++++ b/statsmodels/tsa/tests/test_exponential_smoothing.py
+@@ -14,7 +14,7 @@ import pandas as pd
+ import pytest
+ import scipy.stats
+
+-from statsmodels.tsa.exponential_smoothing.ets import ETSModel
++from statsmodels.tsa.exponential_smoothing.ets import ETSModel,warn_ets
+ import statsmodels.tsa.holtwinters as holtwinters
+ import statsmodels.tsa.statespace.exponential_smoothing as statespace
+
+@@ -1053,6 +1053,7 @@ def test_estimated_initialization_short_
+
+
+ @pytest.mark.parametrize("method", ["estimated", "heuristic"])
++@pytest.mark.xfail(condition=bool(warn_ets),reason='known to fail on i386',strict=False)
+ def test_seasonal_order(reset_randomstate, method):
+ seasonal = np.arange(12.0)
+ time_series = np.array(list(seasonal) * 100)
--- /dev/null
+Description: Allow tests to fail if multiprocessing is not available
+
+This is currently the case on hurd-i386
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Forwarded: no
+
+--- a/statsmodels/graphics/tests/test_functional.py
++++ b/statsmodels/graphics/tests/test_functional.py
+@@ -14,6 +14,12 @@ try:
+ import matplotlib.pyplot as plt
+ except ImportError:
+ pass
++has_multiprocessing = True
++try:
++ import multiprocessing
++ multiprocessing.Pool()
++except ImportError:
++ has_multiprocessing = False
+
+
+ data = elnino.load()
+@@ -59,6 +65,10 @@ def test_hdr_basic(close_figures):
+ outliers = labels[labels_pos]
+ assert_equal([1982, 1983, 1997, 1998], outliers)
+ assert_equal(labels[hdr.outliers_idx], outliers)
++ except ImportError:
++ if not has_multiprocessing:
++ pytest.xfail('Multiprocess not available')
++ raise
+ except OSError:
+ pytest.xfail('Multiprocess randomly crashes in Windows testing')
+
+@@ -73,6 +83,10 @@ def test_hdr_basic_brute(close_figures,
+ 21.231, 20.366, 20.168, 20.434, 21.111, 22.299]
+
+ assert_almost_equal(hdr.median, median_t, decimal=2)
++ except ImportError:
++ if not has_multiprocessing:
++ pytest.xfail('Multiprocess not available')
++ raise
+ except OSError:
+ pytest.xfail('Multiprocess randomly crashes in Windows testing')
+
+@@ -92,6 +106,10 @@ def test_hdr_plot(close_figures):
+ ax.set_xticks(np.arange(13, step=3) - 1)
+ ax.set_xticklabels(["", "Mar", "Jun", "Sep", "Dec"])
+ ax.set_xlim([-0.2, 11.2])
++ except ImportError:
++ if not has_multiprocessing:
++ pytest.xfail('Multiprocess not available')
++ raise
+ except OSError:
+ pytest.xfail('Multiprocess randomly crashes in Windows testing')
+
+@@ -107,6 +125,10 @@ def test_hdr_alpha(close_figures):
+ [23.4, 24.8, 25.0, 23.9, 22.4, 21.1,
+ 20.0, 19.3, 19.2, 19.4, 20.1, 21.3]])
+ assert_almost_equal(hdr.extra_quantiles, extra_quant_t, decimal=0)
++ except ImportError:
++ if not has_multiprocessing:
++ pytest.xfail('Multiprocess not available')
++ raise
+ except OSError:
+ pytest.xfail('Multiprocess randomly crashes in Windows testing')
+
+@@ -131,6 +153,10 @@ def test_hdr_multiple_alpha(close_figure
+ 19.697, 19.951, 20.622, 21.858]]
+ assert_almost_equal(hdr.extra_quantiles, np.vstack(extra_quant_t),
+ decimal=0)
++ except ImportError:
++ if not has_multiprocessing:
++ pytest.xfail('Multiprocess not available')
++ raise
+ except OSError:
+ pytest.xfail('Multiprocess randomly crashes in Windows testing')
+
+@@ -145,6 +171,10 @@ def test_hdr_threshold(close_figures):
+ axis=1)
+ outliers = labels[labels_pos]
+ assert_equal([1968, 1982, 1983, 1997, 1998], outliers)
++ except ImportError:
++ if not has_multiprocessing:
++ pytest.xfail('Multiprocess not available')
++ raise
+ except OSError:
+ pytest.xfail('Multiprocess randomly crashes in Windows testing')
+
+@@ -158,6 +188,10 @@ def test_hdr_bw(close_figures):
+
+ 21.31, 20.44, 20.24, 20.51, 21.19, 22.38]
+ assert_almost_equal(hdr.median, median_t, decimal=2)
++ except ImportError:
++ if not has_multiprocessing:
++ pytest.xfail('Multiprocess not available')
++ raise
+ except OSError:
+ pytest.xfail('Multiprocess randomly crashes in Windows testing')
+
+@@ -170,6 +204,10 @@ def test_hdr_ncomp(close_figures):
+ median_t = [24.33, 25.71, 26.04, 25.08, 23.74, 22.40,
+ 21.32, 20.45, 20.25, 20.53, 21.20, 22.39]
+ assert_almost_equal(hdr.median, median_t, decimal=2)
++ except ImportError:
++ if not has_multiprocessing:
++ pytest.xfail('Multiprocess not available')
++ raise
+ except OSError:
+ pytest.xfail('Multiprocess randomly crashes in Windows testing')
+
--- /dev/null
+Description: Allow a memory-heavy test to run out of memory
+
+Failed in 0.14.0 on armel,armhf,mipsel (but not i386)
+
+Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
+Forwarded: no
+
+--- a/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py
++++ b/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py
+@@ -2,6 +2,7 @@ from statsmodels.compat.pandas import QU
+
+ import os
+
++import sys
+ import numpy as np
+ from numpy.testing import assert_allclose
+ import pandas as pd
+@@ -405,7 +406,7 @@ def test_emstep_methods_nonmissing(matla
+
+
+ @pytest.mark.parametrize("run", ['news_112', 'news_222', 'news_block_112',
+- 'news_block_222'])
++ pytest.param('news_block_222',marks=pytest.mark.xfail(condition=sys.maxsize<2**33,reason="too memory-heavy for armel,armhf,mipsel",raises=MemoryError,strict=False))])
+ def test_news(matlab_results, run):
+ endog_M, endog_Q = matlab_results[:2]
+ results = matlab_results[2][run]
--- /dev/null
+Document: python-statsmodels-doc
+Title: Statsmodels documentation
+Author: Statsmodels Developers
+Abstract: Documentation for Statsmodels classes and functions for the
+ estimation of many different statistical models, as well as for
+ conducting statistical tests, and statistical data exploration. An
+ extensive list of result statistics are available for each estimator.
+Section: Programming/Python
+
+Format: HTML
+Index: /usr/share/doc/python-statsmodels-doc/html/index.html
+Files: /usr/share/doc/python-statsmodels-doc/html/*
--- /dev/null
+build/html
--- /dev/null
+examples/*
--- /dev/null
+usr/share/doc/python-statsmodels-doc/examples usr/share/doc/python3-statsmodels/examples
+usr/share/doc/python-statsmodels-doc/html usr/share/doc/python3-statsmodels/html
+usr/share/javascript/mathjax/MathJax.js usr/share/doc/python-statsmodels-doc/html/_static/MathJax.js
+usr/share/javascript/requirejs/require.min.js usr/share/doc/python-statsmodels-doc/html/_static/require.min.js
--- /dev/null
+symlink_to_dir /usr/share/doc/python-statsmodels-doc/html ../python-statsmodels/html 0.10.2-1~ python-statsmodels-doc
+symlink_to_dir /usr/share/doc/python-statsmodels-doc/examples ../python-statsmodels/examples 0.10.2-1~ python-statsmodels-doc
--- /dev/null
+# these are test references/inputs, not user-facing text
+python3-statsmodels binary: package-contains-documentation-outside-usr-share-doc [*/statsmodels/tsa/vector_ar/tests/JMulTi_results/*.txt]
+python3-statsmodels binary: package-contains-documentation-outside-usr-share-doc [*/statsmodels/regression/tests/results/*.txt]
+python3-statsmodels binary: package-contains-documentation-outside-usr-share-doc [*/statsmodels/discrete/tests/results/*.txt]
+python3-statsmodels binary: package-contains-documentation-outside-usr-share-doc [*/statsmodels/stats/tests/test_data.txt]
--- /dev/null
+#!/usr/bin/make -f
+# -*- mode: makefile; coding: utf-8 -*-
+
+# override HOME (for weave) and matplotlib config directory
+# to allow building in chroots with read-only HOME
+export HOME=$(CURDIR)/build
+export MPLCONFIGDIR=$(HOME)
+
+#block internet access
+export http_proxy=127.0.0.1:9
+export https_proxy=127.0.0.1:9
+
+export PY3VER=$(shell py3versions -vd)
+SOURCE_DATE:=$(shell date -u -d "@$(SOURCE_DATE_EPOCH)" "+%a, %d %b %Y" || echo "xxx, xx xxx xxxx")
+SOURCE_TIME:=$(shell date -u -d "@$(SOURCE_DATE_EPOCH)" "+%T" || echo "xx:xx:xx")
+
+export PYBUILD_NAME=statsmodels
+export PYBUILD_INSTALL_ARGS=--install-layout=deb
+
+export DEB_BUILD_MAINT_OPTIONS=hardening=+all
+
+%:
+ dh $@ --with python3,sphinxdoc --buildsystem=pybuild
+
+# To guarantee HOME existence with mpl 1.3.0
+# See https://github.com/matplotlib/matplotlib/issues/2300
+# https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=719384
+$(HOME):
+ mkdir "$@"
+ : # Hardcode backend to Agg to avoid doc build and tests failures
+ echo "backend : Agg" >| $(MPLCONFIGDIR)/matplotlibrc
+
+override_dh_auto_build-arch: $(HOME)
+ dh_auto_build
+
+override_dh_auto_build-indep: $(HOME) override_dh_auto_build-arch
+ : # above dependency is because documentation depends on built package
+ : # I: Generate documentation
+ : # Build Documentation -- assure existence of build/html for nodoc
+ : # Reproducibility: stopping the clock (or slowing it down enough to get all 00:00:00) with faketime (near-)hangs in glm_weights.ipynb
+ mkdir -p build/html
+ifeq (,$(filter nodoc,$(DEB_BUILD_OPTIONS)))
+ python3 debian/datasets/prepopulate_cache.py
+ PYTHONPATH=$(shell pybuild --print build_dir --interpreter python3) \
+ BUILDDIR=$(CURDIR)/build \
+ STATSMODELS_DATA=$(CURDIR)/build/datacache/ \
+ LC_ALL=C.UTF-8 make -C docs html
+ mv docs/build/* build/
+ : # replace timestamps and build paths in examples output for reproducibility
+ for html in `find build/html examples -name _modules -prune -o -name "*.html" -o -name "*.ipynb" -o -name "*.ipynb.txt"` ; do \
+ sed -i -e 's#$(CURDIR)/.pybuild/[^/]*/build/statsmodels/#/usr/lib/python3/dist-packages/statsmodels/#g' \
+ -e 's# at 0x[0-9a-f]\{8,16\}\(>\|>\)# at 0xadde5de1e8ed\1#g' \
+ -e 's#\(Date:.*\)[A-Z][a-z]\+, \+[0-9]\+,\? \+[A-Z][a-z]\+,\? \+[0-9]\+#\1$(SOURCE_DATE)#g' \
+ -e 's#\(Time:.*\)[0-9][0-9]:[0-9][0-9]:[0-9][0-9]#\1$(SOURCE_TIME)#g' $${html} ; \
+ done
+endif
+
+override_dh_installdocs:
+ rm -rf docs/source/generated/
+ dh_installdocs
+
+override_dh_auto_clean:
+ # this would try to run setup.py clean, which is an error: dh_auto_clean
+ -rm -rf cythonize.dat \
+ *.egg-info \
+ *.png \
+ .pybuild \
+ .pytest_cache \
+ build \
+ docs/build/ \
+ docs/rehab.table \
+ docs/salary.table \
+ docs/source/datasets/generated \
+ docs/source/examples/notebooks \
+ docs/source/savefig \
+ docs/source/dev/generated \
+ docs/source/datasets/statsmodels.datasets.*.rst \
+ docs/source/examples/notebooks/generated \
+ docs/source/examples/index.rst \
+ examples/executed \
+ tools/hash_dict.pickle
+ find . -name __pycache__ -print0 | xargs -0 rm -rf
+ find . -name *.pyx -print0 | sed -e "s/\.pyx/.c/g" | xargs -0 rm -f
+ find . -name *.pyx.in -print0 | sed -e "s/\.pyx\.in/.pyx/g" | xargs -0 rm -f
+ : # Remove autogenerated version.py
+ rm -f statsmodels/version.py statsmodels/_version.py docs/source/examples/index.rst
+
+override_dh_install:
+ dh_install
+ rm -f debian/*/usr/setup.cfg
+ : # Remove compiled due to testing files
+ find debian -name *.pyc -delete
+ rm -f debian/*/usr/lib/*/dist-packages/enet_poisson.csv debian/*/usr/lib/*/dist-packages/enet_binomial.csv
+ : # strip docs/ since they aren't really a Python module, there is -doc for it
+ : # TODO find debian -wholename \*scikits/statsmodels/docs | xargs rm -rf
+ find debian -iname COPYING -o -iname LICENSE* | xargs -r rm -f
+
+# statsmodels has a conftest.py that uses testroot-only features, so the tests must be run from the statsmodels directory, not its parent
+# https://github.com/statsmodels/statsmodels/issues/5108
+# the cd is to be "anywhere but pkgroot" to avoid subprocesses (test_lazy_imports) importing the source tree (current directory is tried before PYTHONPATH), which doesn't work because the built .so files aren't there
+# the inner 'for' (expected to be a single item, cpython3_${testpy3ver}_statsmodels/build) is because globs aren't expanded when setting env vars
+# TEST_SUCCESS is used because the return status of a for-loop is its last item, not the "fail if any of them do" wanted here
+override_dh_auto_test:
+ifeq (,$(filter nocheck,$(DEB_BUILD_OPTIONS)))
+ TEST_SUCCESS=true ; cd tools && for testpy3ver in `py3versions -vs` ; do \
+ for testpath in ../.pybuild/*$${testpy3ver}*/*/statsmodels ; do \
+ PYTHONPATH=$${testpath}/.. python$${testpy3ver} -m pytest -v $${testpath} || TEST_SUCCESS=false ; \
+ rm -rf $${testpath}/.pytest_cache ; \
+ done ; done ; $${TEST_SUCCESS}
+endif
+
+## immediately useable documentation and exemplar scripts/data
+override_dh_compress:
+ dh_compress -X.py -X.html -X.pdf -X.css -X.jpg -X.txt -X.js -X.json -X.rtc -X.inv -Xobjects.inv
+
+override_dh_link:
+ : # deduplicate images - the ||true is because we only build-depend on jdupes if we're building documentation
+ jdupes -r -l debian/python-statsmodels-doc/usr/share/doc || true
+ dh_link
+
+## move binary libraries into -lib
+override_dh_auto_install:
+ dh_auto_install
+ for PACKAGE_NAME in python3-statsmodels; do \
+ for lib in $$(find debian/$${PACKAGE_NAME}/usr -name '*.so'); do \
+ sdir=$$(dirname $$lib) ; \
+ tdir=debian/$${PACKAGE_NAME}-lib/$${sdir#*$${PACKAGE_NAME}/} ; \
+ mkdir -p $$tdir ; \
+ echo "I: Moving '$$lib' into '$$tdir'." ; \
+ mv $$lib $$tdir ; \
+ done ; \
+ done
+ dh_numpy3
+
+override_dh_fixperms:
+ dh_fixperms
+ find debian -name "*.txt" -exec chmod -x \{\} \;
--- /dev/null
+---
+include:
+ - https://salsa.debian.org/salsa-ci-team/pipeline/raw/master/salsa-ci.yml
+ - https://salsa.debian.org/salsa-ci-team/pipeline/raw/master/pipeline-jobs.yml
+# known not currently reproducible
+reprotest:
+ allow_failure: true
+variables:
+ SALSA_CI_LINTIAN_FAIL_WARNING: 1
+# clearer errors from reproducibility test
+ SALSA_CI_REPROTEST_ENABLE_DIFFOSCOPE: 1
+# tests are long, so run them only in build
+# shorten the build logs to make room for reporting differences
+ SALSA_CI_REPROTEST_ARGS: "--append-build-command=-Pnocheck --vary=environment.variables+=DEB_BUILD_OPTIONS=terse"
+ SALSA_CI_DISABLE_AUTOPKGTEST: 1
--- /dev/null
+3.0 (quilt)
--- /dev/null
+statsmodels source: source-is-missing [statsmodels/datasets/scotland/src/*.html]
--- /dev/null
+Tests: upstreamtests
+Depends: python3-all, python3-statsmodels, python3-pytest,
+ python3-matplotlib,
+ python3-joblib,
+ python3-colorama,
+ python3-cvxopt,
+ python3-dateutil,
+ python3-jinja2,
+ python3-tk
+Restrictions: allow-stderr
+
--- /dev/null
+#!/bin/sh
+set -e
+pys=`py3versions -s 2>/dev/null`
+# don't import the source tree
+cd "${AUTOPKGTEST_TMP}"
+# avoid timeout on slow architectures
+pytest_options=--skip-slow
+if [ `dpkg --print-architecture` = amd64 ] ; then
+ pytest_options= ;
+fi
+
+for py in $pys ; do
+ $py -m pytest -v $pytest_options /usr/lib/python3/dist-packages/statsmodels ;
+done
--- /dev/null
+Name: statsmodels
+Repository: https://github.com/statsmodels/statsmodels
+Documentation: https://www.statsmodels.org/stable/
+Bug-Database: https://github.com/statsmodels/statsmodels/issues
+Contact: https://groups.google.com/group/pystatsmodels
+Reference:
+ Title: "Statsmodels: Econometric and statistical modeling with python"
+ Eprint: https://conference.scipy.org/proceedings/scipy2010/pdfs/seabold.pdf
+ Author: Seabold, Skipper and Perktold, Josef
+ Booktitle: 9th Python in Science Conference
+ Year: 2010
--- /dev/null
+version=4
+opts="dversionmangle=s/.dfsg[0-9]*$//,uversionmangle=s/rc/~rc/g;s/dev/~dev/g,filenamemangle=s/.*\/(.*)/statsmodels-$1/,repacksuffix=+dfsg" \
+ https://github.com/statsmodels/statsmodels/tags .*/v?(\d[\d.]+)\.tar\.gz
projects / statsmodels.git / commitdiff