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Start allowing new numpy versions >=1.21.5 #708

Merged
merged 1 commit into from
Jan 5, 2022
Merged

Start allowing new numpy versions >=1.21.5 #708

merged 1 commit into from
Jan 5, 2022

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dwpaley
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@dwpaley dwpaley commented Jan 4, 2022

This reflects the resolution of #627 as discussed in several other issues
and PRs:

Leaving this "bibliography" here because the fix in numpy PR 20616 is
considered temporary; thus someday we may have to revisit this to fix the
underlying bug in boost::python.

Co-authored-by: Billy Poon bkpoon@lbl.gov

This reflects the resolution of #627 as discussed in several other issues
and PRs:

- boostorg/python#376
- numpy/numpy#20507
- numpy/numpy#20616

Leaving this "bibliography" here because the fix in numpy PR 20616 is
considered temporary; thus someday we may have to revisit this to fix the
underlying bug in boost::python.

Co-authored-by: Billy Poon <bkpoon@lbl.gov>
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bkpoon commented Jan 4, 2022

The nightly conda package builds are testing Python 3.10 and numpy 1.21.5 (current conda-forge pinnings). The tests of the nightly package are pulling in numpy 1.22 and that is working fine as well.

@dwpaley dwpaley merged commit 8b442d1 into master Jan 5, 2022
@dwpaley dwpaley deleted the unpin_numpy branch January 5, 2022 14:37
Trzs added a commit to JBlaschke/alcc-recipes that referenced this pull request Jan 6, 2022
Numpy has been updated to fix the issue with boost. For more details,
see cctbx/cctbx_project#708
Anthchirp added a commit to dials/dials that referenced this pull request Jan 13, 2022
as the underlying incompatibility issue was identified and worked
around. For more information see cctbx/cctbx_project#708.
Minimum version requirement set to the oldest currently supported
version according to NEP-29.
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2 participants