ed4b036702f46a57002b1fa946af84a9c822503e,librosa/filters.py,,,#,50

Before Change


from .core.time_frequency import fft_frequencies, mel_frequencies

// Dictionary of window function bandwidths
WINDOW_BANDWIDTHS = dict(hann=0.725)

__all__ = ["dct",
           "mel",
           "chroma",

After Change



// Dictionary of window function bandwidths

WINDOW_BANDWIDTHS = {"bart": 1.3334961334912805,
                     "barthann": 1.4560255965133932,
                     "bartlett": 1.3334961334912805,
                     "bkh": 2.0045975283585014,
                     "black": 1.7269681554262326,
                     "blackharr": 2.0045975283585014,
                     "blackman": 1.7269681554262326,
                     "blackmanharris": 2.0045975283585014,
                     "blk": 1.7269681554262326,
                     "bman": 1.7859588613860062,
                     "bmn": 1.7859588613860062,
                     "bohman": 1.7859588613860062,
                     "box": 1.0,
                     "boxcar": 1.0,
                     "brt": 1.3334961334912805,
                     "brthan": 1.4560255965133932,
                     "bth": 1.4560255965133932,
                     "cosine": 1.2337005350199792,
                     "flat": 2.7762255046484143,
                     "flattop": 2.7762255046484143,
                     "flt": 2.7762255046484143,
                     "halfcosine": 1.2337005350199792,
                     "ham": 1.3629455320350348,
                     "hamm": 1.3629455320350348,
                     "hamming": 1.3629455320350348,
                     "han": 1.50018310546875,
                     "hann": 1.50018310546875,
                     "hanning": 1.50018310546875,
                     "nut": 1.9763500280946082,
                     "nutl": 1.9763500280946082,
                     "nuttall": 1.9763500280946082,
                     "ones": 1.0,
                     "par": 1.9174603174603191,
                     "parz": 1.9174603174603191,
                     "parzen": 1.9174603174603191,
                     "rect": 1.0,
                     "rectangular": 1.0,
                     "tri": 1.3331706523555851,
                     "triang": 1.3331706523555851,
                     "triangle": 1.3331706523555851}


@cache(level=10)
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 4

Instances


Project Name: librosa/librosa
Commit Name: ed4b036702f46a57002b1fa946af84a9c822503e
Time: 2016-10-03
Author: brian.mcfee@nyu.edu
File Name: librosa/filters.py
Class Name:
Method Name:


Project Name: pandas-dev/pandas
Commit Name: 3391a348f3f7cd07a96c8e6a4b05e3e9f60c8567
Time: 2020-11-26
Author: fangchen.li@outlook.com
File Name: pandas/tests/groupby/test_categorical.py
Class Name:
Method Name:


Project Name: lmcinnes/umap
Commit Name: e3484057fd9ebc37ce546a65470a7ed26b7888e4
Time: 2018-06-19
Author: leland.mcinnes@gmail.com
File Name: examples/plot_fashion-mnist_example.py
Class Name:
Method Name: