21a6d7c02d8919ac29b5aa0af8992ba13f0a3ddb,prody/chromatin/cluster.py,,calcGNMDomains,#Any#Any#,190

Before Change


        labels.fill(np.nan)
        labels[mask] = labels_

        currlbl = labels_[np.argmax(~np.isnan(labels_))]

        for i, l in enumerate(labels):
            if np.isnan(l):
                labels[i] = currlbl
            elif currlbl != l:
                currlbl = l

After Change



    if hasattr(modes, "_model"):
        model = modes._model
        if isinstance(model, MaskedGNM):
            labels = model._extend(labels_, np.nan)
            currlbl = labels_[0]

            for i, l in enumerate(labels):
                if np.isnan(l):
                    labels[i] = currlbl
                elif currlbl != l:
                    currlbl = l

    return labels
    
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 7

Instances


Project Name: prody/ProDy
Commit Name: 21a6d7c02d8919ac29b5aa0af8992ba13f0a3ddb
Time: 2019-07-08
Author: shz66@pitt.edu
File Name: prody/chromatin/cluster.py
Class Name:
Method Name: calcGNMDomains


Project Name: IBM/adversarial-robustness-toolbox
Commit Name: e09f411ffe0feee5034f73581054cb2c52e24e1d
Time: 2019-07-18
Author: beat.buesser@ie.ibm.com
File Name: art/classifiers/scikitklearn.py
Class Name: ScikitlearnLogisticRegression
Method Name: class_gradient


Project Name: theislab/scanpy
Commit Name: b19b64c82c7f645f9abcd170994b52862f7091b8
Time: 2017-04-24
Author: f.alex.wolf@gmx.de
File Name: scanpy/tools/dpt.py
Class Name: DPT
Method Name: select_segment