Drop support for py3.6 #3992
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Drop support for py3.6 #3992
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ColCarroll
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Jul 2, 2020
Co-authored-by: Colin <ColCarroll@users.noreply.github.com>
AlexAndorra
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Jul 3, 2020
junpenglao
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Jul 6, 2020
This reverts commit 1bf867e.
junpenglao
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that referenced
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Jul 6, 2020
This reverts commit 1bf867e.
gmingas
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Jul 22, 2020
* Update GP NBs to use standard notebook style (pymc-devs#3978) * update gp-latent nb to use arviz * rerun, run black * rerun after fixes from comments * rerun black * rewrite radon notebook using ArviZ and xarray (pymc-devs#3963) * rewrite radon notebook using ArviZ and xarray Roughly half notebook has been updated * add comments on xarray usage * rewrite 2n half of notebook * minor fix * rerun notebook and minor changes * rerun notebook on pymc3.9.2 and ArviZ 0.9.0 * remove unused import * add change to release notes * SMC: refactor, speed-up and run multiple chains in parallel for diagnostics (pymc-devs#3981) * first attempt to vectorize smc kernel * add ess, remove multiprocessing * run multiple chains * remove unused imports * add more info to report * minor fix * test log * fix type_num error * remove unused imports update BF notebook * update notebook with diagnostics * update notebooks * update notebook * update notebook * Honor discard_tuned_samples during KeyboardInterrupt (pymc-devs#3785) * Honor discard_tuned_samples during KeyboardInterrupt * Do not compute convergence checks without samples * Add time values as sampler stats for NUTS (pymc-devs#3986) * Add time values as sampler stats for NUTS * Use float time counters for nuts stats * Add timing sampler stats to release notes * Improve doc of time related sampler stats Co-authored-by: Alexandre ANDORRA <andorra.alexandre@gmail.com> Co-authored-by: Alexandre ANDORRA <andorra.alexandre@gmail.com> * Drop support for py3.6 (pymc-devs#3992) * Drop support for py3.6 * Update RELEASE-NOTES.md Co-authored-by: Colin <ColCarroll@users.noreply.github.com> Co-authored-by: Colin <ColCarroll@users.noreply.github.com> * Fix Mixture distribution mode computation and logp dimensions Closes pymc-devs#3994. * Add more info to divergence warnings (pymc-devs#3990) * Add more info to divergence warnings * Add dataclasses as requirement for py3.6 * Fix tests for extra divergence info * Remove py3.6 requirements * follow-up of py36 drop (pymc-devs#3998) * Revert "Drop support for py3.6 (pymc-devs#3992)" This reverts commit 1bf867e. * Update README.rst * Update setup.py * Update requirements.txt * Update requirements.txt Co-authored-by: Adrian Seyboldt <aseyboldt@users.noreply.github.com> * Show pickling issues in notebook on windows (pymc-devs#3991) * Merge close remote connection * Manually pickle step method in multiprocess sampling * Fix tests for extra divergence info * Add test for remote process crash * Better formatting in test_parallel_sampling Co-authored-by: Junpeng Lao <junpenglao@gmail.com> * Use mp_ctx forkserver on MacOS * Add test for pickle with dill Co-authored-by: Junpeng Lao <junpenglao@gmail.com> * Fix keep_size for arviz structures. (pymc-devs#4006) * Fix posterior pred. sampling keep_size w/ arviz input. Previously posterior predictive sampling functions did not properly handle the `keep_size` keyword argument when getting an xarray Dataset as parameter. Also extended these functions to accept InferenceData object as input. * Reformatting. * Check type errors. Make errors consistent across sample_posterior_predictive and fast_sample_posterior_predictive, and add 2 tests. * Add changelog entry. Co-authored-by: Robert P. Goldman <rpgoldman@sift.net> * SMC-ABC add distance, refactor and update notebook (pymc-devs#3996) * update notebook * move dist functions out of simulator class * fix docstring * add warning and test for automatic selection of sort sum_stat when using wassertein and energy distances * update release notes * fix typo * add sim_data test * update and add tests * update and add tests * add docs for interpretation of length scales in periodic kernel (pymc-devs#3989) * fix the expression of periodic kernel * revert change and add doc * FIXUP: add suggested doc string * FIXUP: revertchanges in .gitignore * Fix Matplotlib type error for tests (pymc-devs#4023) * Fix for issue 4022. Check for support for `warn` argument in `matplotlib.use()` call. Drop it if it causes an error. * Alternative fix. * Switch from pm.DensityDist to pm.Potential to describe the likelihood in MLDA notebooks and script examples. This is done because of the bug described in arviz-devs/arviz#1279. The commit also changes a few parameters in the MLDA .py example to match the ones in the equivalent notebook. * Remove Dirichlet distribution type restrictions (pymc-devs#4000) * Remove Dirichlet distribution type restrictions Closes pymc-devs#3999. * Add missing Dirichlet shape parameters to tests * Remove Dirichlet positive concentration parameter constructor tests This test can't be performed in the constructor if we're allowing Theano-type distribution parameters. * Add a hack to statically infer Dirichlet argument shapes Co-authored-by: Brandon T. Willard <brandonwillard@users.noreply.github.com> Co-authored-by: Bill Engels <w.j.engels@gmail.com> Co-authored-by: Oriol Abril-Pla <oriol.abril.pla@gmail.com> Co-authored-by: Osvaldo Martin <aloctavodia@gmail.com> Co-authored-by: Adrian Seyboldt <aseyboldt@users.noreply.github.com> Co-authored-by: Alexandre ANDORRA <andorra.alexandre@gmail.com> Co-authored-by: Colin <ColCarroll@users.noreply.github.com> Co-authored-by: Brandon T. Willard <brandonwillard@users.noreply.github.com> Co-authored-by: Junpeng Lao <junpenglao@gmail.com> Co-authored-by: rpgoldman <rpgoldman@goldman-tribe.org> Co-authored-by: Robert P. Goldman <rpgoldman@sift.net> Co-authored-by: Tirth Patel <tirthasheshpatel@gmail.com> Co-authored-by: Brandon T. Willard <971601+brandonwillard@users.noreply.github.com>
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We can merge this PR whenever we would like to drop support for python 3.6.
This was briefly mentioned in #3986, with some support to do this sooner rather then later.