06279f054fcfa03517b1bd51ef156a9182af146f,PyPi/utils/parameters.py,Parameter,__call__,#Parameter#Any#,13
Before Change
axis=1).ravel()
else:
idx = idx.astype(np.int)
assert idx.ndim == 1
idx = tuple(idx) if idx.size == self._n_updates.ndim else 0
self._n_updates[idx] += 1
After Change
def __call__(self, idx, **kwargs):
if not isinstance(idx, tuple):
idx = tuple(idx.ravel())
idx = idx if self._n_updates.size > 1 else 0
self._n_updates[idx] += 1
In pattern: SUPERPATTERN
Frequency: 4
Non-data size: 3
Instances
Project Name: AIRLab-POLIMI/mushroom
Commit Name: 06279f054fcfa03517b1bd51ef156a9182af146f
Time: 2017-06-16
Author: carlo.deramo@gmail.com
File Name: PyPi/utils/parameters.py
Class Name: Parameter
Method Name: __call__
Project Name: biolab/orange3
Commit Name: 3721aada353b474d5b5ce726fa65de4968fb6b5e
Time: 2013-06-02
Author: jure.zbontar@gmail.com
File Name: Orange/classification/logistic.py
Class Name:
Method Name:
Project Name: nilearn/nilearn
Commit Name: f2248a7b41dc0ab56486a5e9cab35afda227a4e9
Time: 2013-03-12
Author: abraham.alexandre@gmail.com
File Name: nisl/decomposition/tests/test_canica.py
Class Name:
Method Name: test_canica_square_img
Project Name: metric-learn/metric-learn
Commit Name: f407bacc796320196269a5254443bd705acca166
Time: 2019-05-24
Author: 31916524+wdevazelhes@users.noreply.github.com
File Name: metric_learn/itml.py
Class Name: _BaseITML
Method Name: _fit