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#16413 may have slowed down time_groupby_series_simple_cython (while speeding up other groupby ops)
time_groupby_series_simple_cython
$ asv continuous d5a681bfa~1 d5a681bfa -b groupby.groupby_multi.time_groupby_series_simple_cython
· Creating environments · Discovering benchmarks ·· Uninstalling from conda-py3.6-Cython-matplotlib-numexpr-numpy-openpyxl-pytables-pytest-scipy-sqlalchemy-xlrd-xlsxwriter-xlwt ·· Installing into conda-py3.6-Cython-matplotlib-numexpr-numpy-openpyxl-pytables-pytest-scipy-sqlalchemy-xlrd-xlsxwriter-xlwt.. · Running 2 total benchmarks (2 commits * 1 environments * 1 benchmarks) [ 0.00%] · For pandas commit hash d5a681bf: [ 0.00%] ·· Building for conda-py3.6-Cython-matplotlib-numexpr-numpy-openpyxl-pytables-pytest-scipy-sqlalchemy-xlrd-xlsxwriter-xlwt.......................................................................................... [ 0.00%] ·· Benchmarking conda-py3.6-Cython-matplotlib-numexpr-numpy-openpyxl-pytables-pytest-scipy-sqlalchemy-xlrd-xlsxwriter-xlwt [ 50.00%] ··· Running groupby.groupby_multi.time_groupby_series_simple_cython 5.04±0.09ms [ 50.00%] · For pandas commit hash 5fe042f5: [ 50.00%] ·· Building for conda-py3.6-Cython-matplotlib-numexpr-numpy-openpyxl-pytables-pytest-scipy-sqlalchemy-xlrd-xlsxwriter-xlwt.......................................................................................... [ 50.00%] ·· Benchmarking conda-py3.6-Cython-matplotlib-numexpr-numpy-openpyxl-pytables-pytest-scipy-sqlalchemy-xlrd-xlsxwriter-xlwt [100.00%] ··· Running groupby.groupby_multi.time_groupby_series_simple_cython 3.79±0.09ms before after ratio [5fe042f5] [d5a681bf] + 3.79±0.09ms 5.04±0.09ms 1.33 groupby.groupby_multi.time_groupby_series_simple_cython SOME BENCHMARKS HAVE CHANGED SIGNIFICANTLY.
The text was updated successfully, but these errors were encountered:
does this still showup?
Sorry, something went wrong.
@TomAugspurger Is this still useful to have open?
I don't see that benchmark anymore, so hard to say.
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#16413 may have slowed down
time_groupby_series_simple_cython
(while speeding up other groupby ops)The text was updated successfully, but these errors were encountered: