markovmodel / PyEMMA

🚂 Python API for Emma's Markov Model Algorithms 🚂
http://pyemma.org
GNU Lesser General Public License v3.0
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[doc] use sphinx-issues to link to github #1386

Closed marscher closed 5 years ago

marscher commented 5 years ago

also fixed a future warning within AutoAutoSummary

[ci skip]

codecov[bot] commented 5 years ago

Codecov Report

Merging #1386 into devel will decrease coverage by 0.02%. The diff coverage is n/a.

Impacted file tree graph

@@            Coverage Diff             @@
##            devel    #1386      +/-   ##
==========================================
- Coverage   91.56%   91.54%   -0.03%     
==========================================
  Files         225      225              
  Lines       25450    25450              
==========================================
- Hits        23303    23297       -6     
- Misses       2147     2153       +6
Impacted Files Coverage Δ
...emma/_ext/variational/solvers/tests/test_direct.py 89.13% <0%> (-8.7%) :arrow_down:
pyemma/coordinates/data/util/traj_info_backends.py 91.54% <0%> (-0.94%) :arrow_down:

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 56cc72a...f9a8a09. Read the comment docs.

codecov[bot] commented 5 years ago

Codecov Report

Merging #1386 into devel will decrease coverage by <.01%. The diff coverage is n/a.

Impacted file tree graph

@@            Coverage Diff             @@
##            devel    #1386      +/-   ##
==========================================
- Coverage   91.56%   91.55%   -0.01%     
==========================================
  Files         225      225              
  Lines       25450    25450              
==========================================
- Hits        23303    23302       -1     
- Misses       2147     2148       +1
Impacted Files Coverage Δ
pyemma/coordinates/data/util/traj_info_backends.py 91.54% <0%> (-0.94%) :arrow_down:
pyemma/util/statistics.py 60.39% <0%> (+0.99%) :arrow_up:

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 56cc72a...f9a8a09. Read the comment docs.