feature_transforms.py 文件源码

def parse_feature(feature):
    """ Parse feature string into
            (feature name, [1st order aggregates], [2nd order aggregates]).

        'Grammar':
        - feature name and aggregates are separated by dots, e.g. 'mfcc.entropy'
        - feature name is first and contains no dots
        - first order and second order aggregates are separated by one of 2 keywords:
            'corpus' or 'song'

        Ex.:
        >>> parse_features('loudness.mean.song.pdf.log')
        ('loudness', ['mean'], ['song', 'pdf', 'log'])
    """
    s = np.array(feature.split('.'))
    split_points = (s == 'corpus') | (s == 'song')
    split_points = np.nonzero(split_points)[0] if any(split_points) else [len(s)]
    return s[0], s[1:split_points[0]].tolist(), s[split_points[-1]:].tolist()