def parse_terp_file()

in tseval/evaluation/terp.py [0:0]

• 19 lines of code
• 4 McCabe index (conditional complexity)

def parse_terp_file(filepath):
    '''Parse the output terp.sum file.

    Format:
    ID             | Ins    | Del    | Sub    | Stem   | Syn    | Phrase | Shft   | WdSh   | NumEr    | NumWd    | TERp
    -------------------------------------------------------------------------------------------------------------------------------------------------
    [sys][doc][0]  |      0 |     11 |      4 |      0 |      0 |      0 |      2 |      3 |   17.000 |   19.000 |   89
    [sys][doc][1]  |      0 |     15 |      1 |      0 |      0 |      0 |      0 |      0 |   16.000 |   23.000 |   69
    '''
    with open(filepath, 'r') as f:
        line_id = 0
        features = []
        for line in f:
            m = re.match(r'\[sys\]\[doc\]\[(\d+)\] +\|(.*)', line)
            if m is None:
                continue
            assert line_id == int(m.groups()[0])
            line_id += 1
            features.append([float(val) for val in m.groups()[1].split('|')])
    return np.array(features)