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update references to py3.6 #3998

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merged 1 commit into from
Jul 5, 2020
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OriolAbril
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Couple of very minor updates after #3992

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@AlexAndorra AlexAndorra left a comment

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Thanks @OriolAbril, LGTM 👌
Travis seems to still test on py36 though 🤔 : "ERROR: Package 'pymc3' requires a different Python: 3.6.10 not in '>=3.7'"

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Oh, this is bad then, I though this was already taken care of, I'll look into it.

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This seems to be the issue: https://travis-ci.org/github/pymc-devs/pymc3/jobs/704960222#L271 which comes from https://github.com/pymc-devs/pymc3/blob/master/scripts/create_testenv.sh#L25, if someone wants to take over it will be welcome, otherwise I'll dive in whenever I have time.

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This seems to be because of the travis cache.
We don't really call the code that creates a new environment, but instead use a cached version of it. I'll delete the cache on travis, then we can try again.

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codecov bot commented Jul 5, 2020

Codecov Report

❗ No coverage uploaded for pull request base (master@1bf867e). Click here to learn what that means.
The diff coverage is n/a.

Impacted file tree graph

@@            Coverage Diff            @@
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pymc3/tests/conftest.py 100.00% <0.00%> (ø)
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pymc3/glm/linear.py 93.10% <0.00%> (ø)
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pymc3/variational/approximations.py 80.25% <0.00%> (ø)
pymc3/smc/__init__.py 100.00% <0.00%> (ø)
... and 78 more

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All good now, thanks @OriolAbril and @aseyboldt ! Merging 🎉

@AlexAndorra AlexAndorra merged commit 1af9976 into pymc-devs:master Jul 5, 2020
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Thanks @aseyboldt!

@OriolAbril OriolAbril deleted the py36_followup branch July 5, 2020 13:29
gmingas added a commit to alan-turing-institute/pymc3 that referenced this pull request 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 <[email protected]>

Co-authored-by: Alexandre ANDORRA <[email protected]>

* Drop support for py3.6 (pymc-devs#3992)

* Drop support for py3.6

* Update RELEASE-NOTES.md

Co-authored-by: Colin <[email protected]>

Co-authored-by: Colin <[email protected]>

* 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 <[email protected]>

* 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 <[email protected]>

* Use mp_ctx forkserver on MacOS

* Add test for pickle with dill

Co-authored-by: Junpeng Lao <[email protected]>

* 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 <[email protected]>

* 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 <[email protected]>

Co-authored-by: Bill Engels <[email protected]>
Co-authored-by: Oriol Abril-Pla <[email protected]>
Co-authored-by: Osvaldo Martin <[email protected]>
Co-authored-by: Adrian Seyboldt <[email protected]>
Co-authored-by: Alexandre ANDORRA <[email protected]>
Co-authored-by: Colin <[email protected]>
Co-authored-by: Brandon T. Willard <[email protected]>
Co-authored-by: Junpeng Lao <[email protected]>
Co-authored-by: rpgoldman <[email protected]>
Co-authored-by: Robert P. Goldman <[email protected]>
Co-authored-by: Tirth Patel <[email protected]>
Co-authored-by: Brandon T. Willard <[email protected]>
@kyleabeauchamp kyleabeauchamp added this to the 3.9.3 milestone Jul 28, 2020
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4 participants