6e6c12425a787d8c954ce5c31ceed59cdd531001,kraken/lib/ctc_decoder.py,,greedy_decoder,#,48

Before Change


        if start is None and dec[i] != 0 and (not (i > 0 and dec[i-1] == dec[i])):
            start = i
            code = dec[i]
        if start is not None and (dec[i-1] != dec[i]):
            x.append((code, start, i , val[start:i+1].max().data[-1]))
            start = None
    return x

def blank_threshold_decoder(outputs, threshold=0.5):
    

After Change


    classes = []
    for label, group in groupby(zip(np.arange(seq_len), labels, outputs[mask]), key=lambda x: x[1]):
        group = list(group)
        if label != 0:
            classes.append((label, group[0][0], group[-1][0], max(x[2] for x in group)))
    return classes

def blank_threshold_decoder(outputs, threshold=0.5):
    
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 5

Instances


Project Name: mittagessen/kraken
Commit Name: 6e6c12425a787d8c954ce5c31ceed59cdd531001
Time: 2018-05-20
Author: mittagessen@l.unchti.me
File Name: kraken/lib/ctc_decoder.py
Class Name:
Method Name: greedy_decoder


Project Name: has2k1/plotnine
Commit Name: 035083f62466d569f2fbc576c887cf770bc5b057
Time: 2019-09-24
Author: has2k1@gmail.com
File Name: plotnine/stats/stat_density.py
Class Name:
Method Name: compute_density


Project Name: UFAL-DSG/tgen
Commit Name: fb50688c503567c5db6207e45e2c5e2ee1ad33df
Time: 2014-08-25
Author: odusek@ufal.mff.cuni.cz
File Name: tgen/features.py
Class Name:
Method Name: depth