b7c2f6e9ccd65a53d8ae9aa0d3ee287ce9c93019,librosa/feature.py,,logfsgram,#Any#Any#Any#Any#Any#,10

Before Change


            del magnitudes

            bins_per_octave = kwargs.get("bins_per_octave", 12)
            kwargs["tuning"] = estimate_tuning(pitches, bins_per_octave=bins_per_octave)

            del pitches

        else:

After Change



    // If we don"t have tuning already, grab it from S
    if "tuning" not in kwargs:
        kwargs["tuning"] = estimate_tuning(S=S,
                                           sr=sr, 
                                           bins_per_octave=kwargs.get("bins_per_octave", 12))

    // Build the CQ basis
    cq_basis = librosa.filters.logfrequency(sr, n_fft=n_fft, **kwargs)
    
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 5

Instances


Project Name: librosa/librosa
Commit Name: b7c2f6e9ccd65a53d8ae9aa0d3ee287ce9c93019
Time: 2014-02-07
Author: brm2132@columbia.edu
File Name: librosa/feature.py
Class Name:
Method Name: logfsgram


Project Name: librosa/librosa
Commit Name: b7c2f6e9ccd65a53d8ae9aa0d3ee287ce9c93019
Time: 2014-02-07
Author: brm2132@columbia.edu
File Name: librosa/feature.py
Class Name:
Method Name: chromagram


Project Name: librosa/librosa
Commit Name: 66390be905e2ea01d70917453abbae8bac555ec2
Time: 2014-06-25
Author: brm2132@columbia.edu
File Name: librosa/feature.py
Class Name:
Method Name: logfsgram