d9f6e28568406c162b79f582ae037a89a3118d26,prep_model.py,,post_process,#Any#Any#Any#Any#Any#Any#,67

Before Change

    
    with open(log_file_path, "r") as f:
        log_file_tail = f.read().splitlines()[log_line_num]
    top5_err = re.findall(r"\d+\.\d+", re.findall(r", err-top5=\d+\.\d+", log_file_tail)[0])[0].split(".")[1]

    sha1_value = calc_sha1(model_file_path)

    dst_model_file_name = "{}-{}-{}.{}".format(model_name, top5_err, sha1_value[:8], dst_model_file_ext)

After Change

        log_file_tail = f.read().splitlines()[log_line_num]
    err5_str = re.findall(r", err-top5=\d+\.\d+", log_file_tail)
    if len(err5_str) != 0:
        top5_err = re.findall(r"\d+\.\d+", err5_str[0])[0].split(".")[1]
    else:
        with open(log_file_path, "r") as f:
            log_file_tail = f.read().splitlines()[log_line_num - 1]
        err5_str = re.findall(r", err-top5=\d+\.\d+", log_file_tail)

Instances