How to use the pycm.pycm_util.rounder function in pycm

:type class_param : list
    :return: csv file data as str
    """
    result = "Class"
    classes.sort()
    for item in classes:
        result += ',"' + str(item) + '"'
    result += "\n"
    class_stat_keys = sorted(class_stat.keys())
    if isinstance(class_param, list):
        if set(class_param) <= set(class_stat_keys):
            class_stat_keys = class_param
    if len(class_stat_keys) < 1 or len(classes) < 1:
        return ""
    for key in class_stat_keys:
        row = [rounder(class_stat[key][i], digit) for i in classes]
        result += key + "," + ",".join(row)
        result += "\n"
    return result

return ""
    for i in class_stat_keys:
        background_color = DEFAULT_BACKGROUND_COLOR
        if i in recommended_list:
            background_color = RECOMMEND_BACKGROUND_COLOR
        result += '\n'
        result += '<a style="text-decoration:None;" href="'.format(
            background_color) + document_link + PARAMS_LINK[i] + '">' + str(i) + '</a>\n'
        for j in classes:
            if i in BENCHMARK_LIST:
                background_color = BENCHMARK_COLOR[i][class_stat[i][j]]
                result += ''.format(
                    background_color)
            else:
                result += ''
            result += rounder(class_stat[i][j], digit) + '\n'
        params_text = PARAMS_DESCRIPTION[i]
        if i not in CAPITALIZE_FILTER:
            params_text = params_text.capitalize()
        result += '' + \
                  params_text + '\n'
        result += "\n"
    result += "\n"
    return result

if len(overall_stat_keys) < 1:
        return ""
    for i in overall_stat_keys:
        background_color = DEFAULT_BACKGROUND_COLOR
        if i in recommended_list:
            background_color = RECOMMEND_BACKGROUND_COLOR
        result += '\n'
        result += '<a style="text-decoration:None;" href="'.format(
            background_color) + document_link + PARAMS_LINK[i] + '">' + str(i) + '</a>\n'
        if i in BENCHMARK_LIST:
            background_color = BENCHMARK_COLOR[i][overall_stat[i]]
            result += ''.format(
                background_color)
        else:
            result += ''
        result += rounder(overall_stat[i], digit) + '\n'
        result += "\n"
    result += "\n"
    return result

:param class_param : class parameters list for print, Example : ["TPR","TNR","AUC"]
    :type class_param : list
    :return: printable result as str
    """
    shift = max(map(len, PARAMS_DESCRIPTION.values())) + 5
    classes_len = len(classes)
    overall_stat_keys = sorted(overall_stat.keys())
    result = ""
    if isinstance(overall_param, list):
        if set(overall_param) <= set(overall_stat_keys):
            overall_stat_keys = sorted(overall_param)
    if len(overall_stat_keys) > 0:
        result = "Overall Statistics : " + "\n\n"
        for key in overall_stat_keys:
            result += key + " " * (shift - len(key) + 7) + \
                rounder(overall_stat[key], digit) + "\n"
    class_stat_keys = sorted(class_stat.keys())
    if isinstance(class_param, list):
        if set(class_param) <= set(class_stat_keys):
            class_stat_keys = sorted(class_param)
    classes.sort()
    if len(class_stat_keys) > 0 and len(classes) > 0:
        class_shift = max(
            max(map(lambda x: len(str(x)), classes)) + 5, digit + 6, 14)
        class_shift_format = "%-" + str(class_shift) + "s"
        result += "\nClass Statistics :\n\n"
        result += "Classes" + shift * " " + class_shift_format * \
            classes_len % tuple(map(str, classes)) + "\n"
        rounder_map = partial(rounder, digit=digit)
        for key in class_stat_keys:
            row = [class_stat[key][i] for i in classes]
            params_text = PARAMS_DESCRIPTION[key]