6d299633b04514c6b8c433e2aa3fc14d6a181bae,librosa/filters.py,,cq_to_chroma,#,678
Before Change
roll = int(np.round(roll * (n_chroma / 12.)))
// Apply the roll
cq_to_ch = np.roll(cq_to_ch, roll, axis=0)
return cq_to_ch.astype(np.float)
After Change
roll = int(np.round(roll * (n_chroma / 12.)))
// Apply the roll
cq_to_ch = np .roll(cq_to_ch, roll, axis=0).astype(float)
if window is not None:
cq_to_ch = scipy.signal.convolve(cq_to_ch,
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 2
Instances Project Name: librosa/librosa
Commit Name: 6d299633b04514c6b8c433e2aa3fc14d6a181bae
Time: 2015-03-10
Author: brian.mcfee@nyu.edu
File Name: librosa/filters.py
Class Name:
Method Name: cq_to_chroma
Project Name: librosa/librosa
Commit Name: 57d0b072e669ff285704c86420e02486fa60abe6
Time: 2014-06-24
Author: brm2132@columbia.edu
File Name: librosa/feature.py
Class Name:
Method Name: stack_memory
Project Name: librosa/librosa
Commit Name: e94287ad98872f823868844f9e411fe7a61b4277
Time: 2020-03-07
Author: chiefbean@buaa.edu.cn
File Name: librosa/feature/utils.py
Class Name:
Method Name: stack_memory