# Path: charset_normalizer/md.py
# @lru_cache(maxsize=2048)
# def mess_ratio(
#     decoded_sequence: str, maximum_threshold: float = 0.2, debug: bool = False
# ) -> float:
#     """
#     Compute a mess ratio given a decoded bytes sequence. The maximum threshold does stop the computation earlier.
#     """
# 
#     detectors = [
#         md_class() for md_class in MessDetectorPlugin.__subclasses__()
#     ]  # type: List[MessDetectorPlugin]
# 
#     length = len(decoded_sequence) + 1  # type: int
# 
#     mean_mess_ratio = 0.0  # type: float
# 
#     if length < 512:
#         intermediary_mean_mess_ratio_calc = 32  # type: int
#     elif length <= 1024:
#         intermediary_mean_mess_ratio_calc = 64
#     else:
#         intermediary_mean_mess_ratio_calc = 128
# 
#     for character, index in zip(decoded_sequence + "\n", range(length)):
#         for detector in detectors:
#             if detector.eligible(character):
#                 detector.feed(character)
# 
#         if (
#             index > 0 and index % intermediary_mean_mess_ratio_calc == 0
#         ) or index == length - 1:
#             mean_mess_ratio = sum(dt.ratio for dt in detectors)
# 
#             if mean_mess_ratio >= maximum_threshold:
#                 break
# 
#     if debug:
#         for dt in detectors:  # pragma: nocover
#             print(dt.__class__, dt.ratio)
# 
#     return round(mean_mess_ratio, 3)


import pytest
from charset_normalizer.md import mess_ratio


@pytest.mark.parametrize(
    "content, min_expected_ratio, max_expected_ratio",
    [
        ('典肇乎庚辰年十二月廿一，及己丑年二月十九，收各方語言二百五十，合逾七百萬目；二十大卷佔八成，單英文卷亦過二百萬。悉文乃天下有志共筆而成；有意助之，幾網路、隨纂作，大典茁焉。', 0., 0.),
        ('العقلية , التنويم المغناطيسي و / أو الاقتراح', 0., 0.),
        ("RadoZ تـــعــــديــل الـــتــــوقــيــــت مـــن قــبــل", 0., 0.),
        ("Cehennemin Sava■þ²s²'da kim?", 0.1, 0.5),
        ("´Á¥½³ø§i --  ±i®Ìºû, ³¯·Ø©v", 0.5, 1.),
        ("ïstanbul, T■rkiye'nin en kalabal»k, iktisadi ve k■lt■rel aÓ»dan en —nemli", 0.1, 0.5),
        ("<i>Parce que Óa, c'est la vÕritable histoire de la rencontre avec votre Tante Robin.</i>", 0.01, 0.5),
        ("""ØĢØŠØģØ§ØĶŲ ŲŲ ØĢŲ Ø§ŲŲØ§Øģ ŲŲŲ ŲØ§ ØģŲŲŲØŠØģØ§ØĶŲŲŲØ ØŊØđŲØ§ ŲØģŲØđ ØđŲ (ŲØąŲØŊŲ) ŲØ§ŲØŪØ§ØŠŲ""", 0.8, 2.0),
        ("""ÇáÚŞáíÉ , ÇáÊäæíã ÇáãÛäÇØíÓí æ / Ãæ ÇáÇŞÊÑÇÍ""", 0.8, 2.5),
        ("""hishamkoc@yahoo.com ุชุฑุฌูููุฉ ููุดูููุงู ุงููููููููุงูRadoZ ุชูููุนููููุฏูููู ุงููููุชูููููููููููููุช ููููู ูููุจููู""", 0.5, 2.0)

    ]
)
def test_mess_detection(content, min_expected_ratio, max_expected_ratio):

# Path: charset_normalizer/md.py
# @lru_cache(maxsize=2048)
# def mess_ratio(
#     decoded_sequence: str, maximum_threshold: float = 0.2, debug: bool = False
# ) -> float:
#     """
#     Compute a mess ratio given a decoded bytes sequence. The maximum threshold does stop the computation earlier.
#     """
# 
#     detectors = [
#         md_class() for md_class in MessDetectorPlugin.__subclasses__()
#     ]  # type: List[MessDetectorPlugin]
# 
#     length = len(decoded_sequence) + 1  # type: int
# 
#     mean_mess_ratio = 0.0  # type: float
# 
#     if length < 512:
#         intermediary_mean_mess_ratio_calc = 32  # type: int
#     elif length <= 1024:
#         intermediary_mean_mess_ratio_calc = 64
#     else:
#         intermediary_mean_mess_ratio_calc = 128
# 
#     for character, index in zip(decoded_sequence + "\n", range(length)):
#         for detector in detectors:
#             if detector.eligible(character):
#                 detector.feed(character)
# 
#         if (
#             index > 0 and index % intermediary_mean_mess_ratio_calc == 0
#         ) or index == length - 1:
#             mean_mess_ratio = sum(dt.ratio for dt in detectors)
# 
#             if mean_mess_ratio >= maximum_threshold:
#                 break
# 
#     if debug:
#         for dt in detectors:  # pragma: nocover
#             print(dt.__class__, dt.ratio)
# 
#     return round(mean_mess_ratio, 3)


# Path: tests/test_mess_detection.py
import pytest
from charset_normalizer.md import mess_ratio



@pytest.mark.parametrize(
    "content, min_expected_ratio, max_expected_ratio",
    [
        ('典肇乎庚辰年十二月廿一，及己丑年二月十九，收各方語言二百五十，合逾七百萬目；二十大卷佔八成，單英文卷亦過二百萬。悉文乃天下有志共筆而成；有意助之，幾網路、隨纂作，大典茁焉。', 0., 0.),
        ('العقلية , التنويم المغناطيسي و / أو الاقتراح', 0., 0.),
        ("RadoZ تـــعــــديــل الـــتــــوقــيــــت مـــن قــبــل", 0., 0.),
        ("Cehennemin Sava■þ²s²'da kim?", 0.1, 0.5),
        ("´Á¥½³ø§i --  ±i®Ìºû, ³¯·Ø©v", 0.5, 1.),
        ("ïstanbul, T■rkiye'nin en kalabal»k, iktisadi ve k■lt■rel aÓ»dan en —nemli", 0.1, 0.5),
        ("<i>Parce que Óa, c'est la vÕritable histoire de la rencontre avec votre Tante Robin.</i>", 0.01, 0.5),
        ("""ØĢØŠØģØ§ØĶŲ ŲŲ ØĢŲ Ø§ŲŲØ§Øģ ŲŲŲ ŲØ§ ØģŲŲŲØŠØģØ§ØĶŲŲŲØ ØŊØđŲØ§ ŲØģŲØđ ØđŲ (ŲØąŲØŊŲ) ŲØ§ŲØŪØ§ØŠŲ""", 0.8, 2.0),
        ("""ÇáÚŞáíÉ , ÇáÊäæíã ÇáãÛäÇØíÓí æ / Ãæ ÇáÇŞÊÑÇÍ""", 0.8, 2.5),
        ("""hishamkoc@yahoo.com ุชุฑุฌูููุฉ ููุดูููุงู ุงููููููููุงูRadoZ ุชูููุนููููุฏูููู ุงููููุชูููููููููููููุช ููููู ูููุจููู""", 0.5, 2.0)

    ]
)
def test_mess_detection(content, min_expected_ratio, max_expected_ratio):

    calculated_mess_ratio = mess_ratio(