4b674552c6755a5b154927b0cf86aa4812729ec4,examples/most_common_word_sense/prepare_data.py,,read_gs_file,#Any#,40

Before Change

        hypernym_vec1    (list(str)): words hypernyms vector
        label_vec1       (list(str)): labels of binary class 0/1
    
    file = codecs.open(gs_file_name, "rU", "utf-8")
    reader = csv.reader((line.replace("\0", "") for line in file))

    cntr1 = 0
    // 1. read csv file
    target_word_vec1 = []
    definition_vec1 = []
    hypernym_vec1 = []

    label_vec1 = []

    header_line_flag = True
    for line in reader:
        if line is not None:
            if header_line_flag:  // skip header line
                header_line_flag = False
                continue

            target_word_vec1.insert(cntr1, line[0].strip())
            definition_vec1.insert(cntr1, line[1])
            hypernym_vec1.insert(cntr1, line[2])
            label_vec1.insert(cntr1, line[3])
            cntr1 = cntr1 + 1

    file.close()

    return target_word_vec1, definition_vec1, hypernym_vec1, label_vec1

After Change

        hypernym_vec1    (list(str)): words hypernyms vector
        label_vec1       (list(str)): labels of binary class 0/1
    
    with open(gs_file_name, "rU", encoding="utf-8") as file:
        reader = csv.reader((line.replace("\0", "") for line in file))

        cntr1 = 0
        // 1. read csv file
        target_word_vec1 = []
        definition_vec1 = []
        hypernym_vec1 = []

        label_vec1 = []

        header_line_flag = True
        for line in reader:
            if line is not None:
                if header_line_flag:  // skip header line
                    header_line_flag = False
                    continue

                target_word_vec1.insert(cntr1, line[0].strip())
                definition_vec1.insert(cntr1, line[1])
                hypernym_vec1.insert(cntr1, line[2])
                label_vec1.insert(cntr1, line[3])
                cntr1 = cntr1 + 1

    return target_word_vec1, definition_vec1, hypernym_vec1, label_vec1


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