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TST: skip assert for mpl 3.1+ #26715

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Merged
merged 4 commits into from
Jun 8, 2019
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TomAugspurger
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@TomAugspurger TomAugspurger commented Jun 7, 2019

Closes #26714
xref #26716

@TomAugspurger TomAugspurger added CI Continuous Integration Visualization plotting labels Jun 7, 2019
@TomAugspurger TomAugspurger added this to the 0.25.0 milestone Jun 7, 2019
@TomAugspurger TomAugspurger added Testing pandas testing functions or related to the test suite and removed CI Continuous Integration labels Jun 7, 2019
@TomAugspurger TomAugspurger mentioned this pull request Jun 7, 2019
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I'm going offline for at least a few hours, if anyone wants to keep pushing stuff here then feel free.

1b011d2 is worth keeping (assuming it works for our oldest MPL)

The other two commits are just debugging. In https://travis-ci.org/pandas-dev/pandas/jobs/542971521#L3018 we see that purest ---collect-only pandas is segfaulting.

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Something is going wrong when we import feather: https://travis-ci.org/pandas-dev/pandas/jobs/542977519#L3052

I'm going to remove it from the env for now, just to get the CI green again.

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Also, faulthandler / pytest-faulthandler is very useful.

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Seems like tests are collecting. Merging on green.

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codecov bot commented Jun 8, 2019

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@@            Coverage Diff            @@
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=========================================
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Flag Coverage Δ
#multiple 90.37% <ø> (?)
#single 41.81% <ø> (?)

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codecov bot commented Jun 8, 2019

Codecov Report

❗ No coverage uploaded for pull request base (master@ef30df8). Click here to learn what that means.
The diff coverage is n/a.

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@@            Coverage Diff            @@
##             master   #26715   +/-   ##
=========================================
  Coverage          ?   91.77%           
=========================================
  Files             ?      174           
  Lines             ?    50703           
  Branches          ?        0           
=========================================
  Hits              ?    46535           
  Misses            ?     4168           
  Partials          ?        0
Flag Coverage Δ
#multiple 90.37% <ø> (?)
#single 41.83% <ø> (?)

Continue to review full report at Codecov.

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Δ = absolute <relative> (impact), ø = not affected, ? = missing data
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@TomAugspurger TomAugspurger merged commit 1cf1b96 into pandas-dev:master Jun 8, 2019
@TomAugspurger TomAugspurger deleted the 26714-ci branch June 8, 2019 04:22
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CI: matplotlib failures
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