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Add a quirk for google-cloud-bigquery #396

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merged 1 commit into from
Sep 29, 2022

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xylar
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@xylar xylar commented Sep 24, 2022

On conda-forge, the package google-cloud-bigquery is quite bloated because it contains all the extras. The pypi package google-cloud-bigquery is instead google-cloud-bigquery-core on conda-forge:

https://github.com/conda-forge/google-cloud-bigquery-feedstock/blob/main/recipe/meta.yaml#L70

On conda-forge, the package `google-cloud-bigquery` is quite
bloated because it contains all the extras.  The pypi package
`google-cloud-bigquery` is instead `google-cloud-bigquery-core`
on conda-forge:

https://github.com/conda-forge/google-cloud-bigquery-feedstock/blob/main/recipe/meta.yaml#L70
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codecov-commenter commented Sep 24, 2022

Codecov Report

Merging #396 (63b0231) into main (9c3242e) will increase coverage by 0.70%.
The diff coverage is 92.82%.

@@            Coverage Diff             @@
##             main     #396      +/-   ##
==========================================
+ Coverage   91.30%   92.01%   +0.70%     
==========================================
  Files          17       16       -1     
  Lines        1576     1703     +127     
==========================================
+ Hits         1439     1567     +128     
+ Misses        137      136       -1     
Flag Coverage Δ
unittests 92.01% <92.82%> (+0.70%) ⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files Coverage Δ
setup.py 0.00% <0.00%> (ø)
grayskull/base/github.py 72.83% <72.83%> (ø)
grayskull/license/discovery.py 94.87% <78.12%> (-2.28%) ⬇️
grayskull/strategy/abstract_strategy.py 83.33% <83.33%> (ø)
grayskull/__main__.py 95.60% <93.18%> (-2.55%) ⬇️
grayskull/base/factory.py 91.17% <93.33%> (+1.17%) ⬆️
grayskull/strategy/py_base.py 95.00% <95.00%> (ø)
grayskull/config.py 96.96% <96.96%> (ø)
grayskull/utils.py 98.12% <97.58%> (-1.88%) ⬇️
grayskull/strategy/pypi.py 97.68% <97.68%> (ø)
... and 7 more

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@marcelotrevisani marcelotrevisani merged commit 4e0a380 into conda:main Sep 29, 2022
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3 participants