Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

CLN: remove sample_time attributes from benchmarks #26598

Merged
merged 1 commit into from
Jun 1, 2019

Conversation

pv
Copy link
Contributor

@pv pv commented May 31, 2019

Very minor benchmark cleanup now that I was on it...

These attributes appear to have been brought in by direct replacement of a
deprecated ASV attribute goal_time -> sample_time, but the two have
different semantics (the value sample_time=0.2 is 20x the default).
Increasing this from the default value is probably not necessary and
increases runtime (here 3min vs 17min for rolling.*), so it's better to restore it to defaults.

These appear to have been brought in by direct replacement of a
deprecated ASV attribute goal_time -> sample_time, but the two have
different semantics.  Increasing this from the default value is probably
not necessary and increases runtime, so it's better to restore it to
defaults.
@codecov
Copy link

codecov bot commented May 31, 2019

Codecov Report

Merging #26598 into master will decrease coverage by <.01%.
The diff coverage is n/a.

Impacted file tree graph

@@            Coverage Diff             @@
##           master   #26598      +/-   ##
==========================================
- Coverage   91.84%   91.84%   -0.01%     
==========================================
  Files         174      174              
  Lines       50644    50644              
==========================================
- Hits        46516    46512       -4     
- Misses       4128     4132       +4
Flag Coverage Δ
#multiple 90.37% <ø> (ø) ⬆️
#single 41.71% <ø> (-0.09%) ⬇️
Impacted Files Coverage Δ
pandas/io/gbq.py 78.94% <0%> (-10.53%) ⬇️
pandas/core/frame.py 97% <0%> (-0.12%) ⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 7f31865...dc51708. Read the comment docs.

1 similar comment
@codecov
Copy link

codecov bot commented May 31, 2019

Codecov Report

Merging #26598 into master will decrease coverage by <.01%.
The diff coverage is n/a.

Impacted file tree graph

@@            Coverage Diff             @@
##           master   #26598      +/-   ##
==========================================
- Coverage   91.84%   91.84%   -0.01%     
==========================================
  Files         174      174              
  Lines       50644    50644              
==========================================
- Hits        46516    46512       -4     
- Misses       4128     4132       +4
Flag Coverage Δ
#multiple 90.37% <ø> (ø) ⬆️
#single 41.71% <ø> (-0.09%) ⬇️
Impacted Files Coverage Δ
pandas/io/gbq.py 78.94% <0%> (-10.53%) ⬇️
pandas/core/frame.py 97% <0%> (-0.12%) ⬇️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 7f31865...dc51708. Read the comment docs.

@simonjayhawkins simonjayhawkins added the Benchmark Performance (ASV) benchmarks label May 31, 2019
@jreback jreback added this to the 0.25.0 milestone Jun 1, 2019
@jreback jreback merged commit 3fbe627 into pandas-dev:master Jun 1, 2019
@jreback
Copy link
Contributor

jreback commented Jun 1, 2019

thanks @pv

always welcome comments on the asv structure :->

vaibhavhrt pushed a commit to vaibhavhrt/pandas that referenced this pull request Jun 6, 2019
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Benchmark Performance (ASV) benchmarks
Projects
None yet
Development

Successfully merging this pull request may close these issues.

3 participants