7cd15d13d91e2de78d53a5cdac661e63f64d59e8,prody/dynamics/adaptive.py,,calcStep,#Any#Any#Any#Any#Any#Any#Any#Any#,73
Before Change
if Fmin > Fmin_max:
Fmin = Fmin_max
overlaps = np.abs(np.dot(d, anm.getEigvecs()))
sorted_indices = overlaps.argsort()[::-1]
overlaps = overlaps[sorted_indices]
After Change
torf_Fmin[0] = True
if not np.all(torf_Fmin):
i = np .where(torf_Fmin)[0].max()
torf_Fmin[i+1] = True
selected_mode_indices = np.arange(anm.numModes())[torf_Fmin]
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances Project Name: prody/ProDy
Commit Name: 7cd15d13d91e2de78d53a5cdac661e63f64d59e8
Time: 2021-01-05
Author: shz66@pitt.edu
File Name: prody/dynamics/adaptive.py
Class Name:
Method Name: calcStep
Project Name: statsmodels/statsmodels
Commit Name: a1a0caf27341fd560101ae643bb7df1dc4dfcf46
Time: 2020-07-02
Author: kevin.k.sheppard@gmail.com
File Name: statsmodels/stats/tests/test_corrpsd.py
Class Name: Test_Factor
Method Name: test_corr_nearest_factor_sparse
Project Name: kymatio/kymatio
Commit Name: 82c6a31ddcd1ced474c5d6620b2053f9db600e5e
Time: 2020-02-18
Author: edouard.oyallon@ens.fr
File Name: examples/1d/plot_real_signal.py
Class Name:
Method Name: