markovmodel / PyEMMA

🚂 Python API for Emma's Markov Model Algorithms 🚂
http://pyemma.org
GNU Lesser General Public License v3.0
306 stars 119 forks source link

Fix tests, use deeptime double well discrete data. #1574

Closed clonker closed 1 year ago

clonker commented 1 year ago

Needs new deeptime release to be on conda-forge

codecov[bot] commented 1 year ago

Codecov Report

Merging #1574 (0383abf) into devel (00df5db) will decrease coverage by 0.00%. The diff coverage is 85.00%.

@@            Coverage Diff             @@
##            devel    #1574      +/-   ##
==========================================
- Coverage   91.94%   91.93%   -0.01%     
==========================================
  Files         229      229              
  Lines       26645    26691      +46     
==========================================
+ Hits        24498    24539      +41     
- Misses       2147     2152       +5     
Impacted Files Coverage Δ
pyemma/_base/progress/reporter/__init__.py 86.66% <40.00%> (-2.77%) :arrow_down:
pyemma/coordinates/tests/test_nystroem_tica.py 98.38% <100.00%> (ø)
pyemma/datasets/double_well_discrete.py 87.17% <100.00%> (+1.13%) :arrow_up:
pyemma/msm/tests/test_amm.py 95.21% <100.00%> (+0.04%) :arrow_up:
pyemma/msm/tests/test_bayesian_hmsm.py 99.54% <100.00%> (+<0.01%) :arrow_up:
pyemma/msm/tests/test_bayesian_msm.py 97.35% <100.00%> (ø)
pyemma/msm/tests/test_cktest.py 99.32% <100.00%> (+0.03%) :arrow_up:
pyemma/msm/tests/test_cmsm.py 96.99% <100.00%> (ø)
pyemma/msm/tests/test_hmsm.py 99.64% <100.00%> (ø)
pyemma/msm/tests/test_its.py 99.44% <100.00%> (ø)
... and 26 more

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