CasperSecurity
from __future__ import annotations
import sys
from functools import lru_cache
from logging import getLogger
if sys.version_info >= (3, 8):
from typing import final
else:
try:
from typing_extensions import final
except ImportError:
def final(cls): # type: ignore[misc,no-untyped-def]
return cls
from .constant import (
COMMON_CJK_CHARACTERS,
COMMON_SAFE_ASCII_CHARACTERS,
TRACE,
UNICODE_SECONDARY_RANGE_KEYWORD,
_ACCENTUATED,
_ARABIC,
_ARABIC_ISOLATED_FORM,
_CJK,
_HANGUL,
_HIRAGANA,
_KATAKANA,
_LATIN,
_THAI,
)
from .utils import (
_character_flags,
is_emoticon,
is_punctuation,
is_separator,
is_symbol,
remove_accent,
unicode_range,
)
# Combined bitmask for CJK/Hangul/Katakana/Hiragana/Thai glyph detection.
_GLYPH_MASK: int = _CJK | _HANGUL | _KATAKANA | _HIRAGANA | _THAI
@final
class CharInfo:
"""Pre-computed character properties shared across all detectors."""
__slots__ = (
"character",
"printable",
"alpha",
"upper",
"lower",
"space",
"digit",
"is_ascii",
"case_variable",
"flags",
"accentuated",
"latin",
"is_cjk",
"is_arabic",
"is_glyph",
"punct",
"sym",
"range",
"sep",
"emoticon",
"safe",
"common_cjk",
)
character: str
printable: bool
alpha: bool
upper: bool
lower: bool
space: bool
digit: bool
is_ascii: bool
case_variable: bool
flags: int
accentuated: bool
latin: bool
is_cjk: bool
is_arabic: bool
is_glyph: bool
punct: bool
sym: bool
range: str | None
sep: bool
emoticon: bool
safe: bool
common_cjk: bool
def __init__(self, character: str) -> None:
"""Compute all properties for *character* (built once per codepoint,
every branch assigns every slot)."""
self.character = character
# ASCII fast-path: for characters with ord < 128, we can skip
# _character_flags() entirely and derive most properties from ord.
o: int = ord(character)
if o < 128:
self.is_ascii = True
self.accentuated = False
self.is_cjk = False
self.is_arabic = False
self.is_glyph = False
# ASCII alpha: a-z (97-122) or A-Z (65-90)
if 65 <= o <= 90:
# Uppercase ASCII letter
self.alpha = True
self.upper = True
self.lower = False
self.space = False
self.digit = False
self.printable = True
self.case_variable = True
self.flags = _LATIN
self.latin = True
self.punct = False
self.sym = False
elif 97 <= o <= 122:
# Lowercase ASCII letter
self.alpha = True
self.upper = False
self.lower = True
self.space = False
self.digit = False
self.printable = True
self.case_variable = True
self.flags = _LATIN
self.latin = True
self.punct = False
self.sym = False
elif 48 <= o <= 57:
# ASCII digit 0-9
self.alpha = False
self.upper = False
self.lower = False
self.space = False
self.digit = True
self.printable = True
self.case_variable = False
self.flags = 0
self.latin = False
self.punct = False
self.sym = False
elif o == 32 or (9 <= o <= 13):
# Space, tab, newline, etc.
self.alpha = False
self.upper = False
self.lower = False
self.space = True
self.digit = False
self.printable = o == 32
self.case_variable = False
self.flags = 0
self.latin = False
self.punct = False
self.sym = False
else:
# Other ASCII (punctuation, symbols, control chars)
self.printable = character.isprintable()
self.alpha = False
self.upper = False
self.lower = False
self.space = False
self.digit = False
self.case_variable = False
self.flags = 0
self.latin = False
self.punct = is_punctuation(character) if self.printable else False
self.sym = is_symbol(character) if self.printable else False
else:
# Non-ASCII path
self.is_ascii = False
self.printable = character.isprintable()
self.alpha = character.isalpha()
self.upper = character.isupper()
self.lower = character.islower()
self.space = character.isspace()
self.digit = character.isdigit()
self.case_variable = self.lower != self.upper
# Flag-based classification (single unicodedata.name() call, lru-cached)
flags: int
if self.alpha:
flags = _character_flags(character)
else:
flags = 0
self.flags = flags
self.accentuated = bool(flags & _ACCENTUATED)
self.latin = bool(flags & _LATIN)
self.is_cjk = bool(flags & _CJK)
self.is_arabic = bool(flags & _ARABIC)
self.is_glyph = bool(flags & _GLYPH_MASK)
# Eagerly compute punct and sym (avoids property dispatch overhead
# on 300K+ accesses in the hot loop).
self.punct = is_punctuation(character) if self.printable else False
self.sym = is_symbol(character) if self.printable else False
self.range = unicode_range(character)
self.sep = is_separator(character)
self.emoticon = is_emoticon(character)
self.safe = character in COMMON_SAFE_ASCII_CHARACTERS
self.common_cjk = character in COMMON_CJK_CHARACTERS
# Per-codepoint cache of CharInfo instances
# At most UTF-8 size allocated.
@lru_cache(maxsize=None)
def _char_info(character: str) -> CharInfo:
"""Build (once per codepoint) and cache the CharInfo for *character*."""
return CharInfo(character)
# ASCII table indexed by codepoint.
_ASCII_CHAR_INFO: list[CharInfo] = [
CharInfo(chr(_codepoint)) for _codepoint in range(128)
]
class MessDetectorPlugin:
"""
Base abstract class used for mess detection plugins.
All detectors MUST extend and implement given methods.
"""
__slots__ = ()
def feed_info(self, character: str, info: CharInfo) -> None:
"""
The main routine to be executed upon character.
Insert the logic in witch the text would be considered chaotic.
"""
raise NotImplementedError # Defensive:
def reset(self) -> None: # Defensive:
"""
Permit to reset the plugin to the initial state.
"""
raise NotImplementedError
@property
def ratio(self) -> float:
"""
Compute the chaos ratio based on what your feed() has seen.
Must NOT be lower than 0.; No restriction gt 0.
"""
raise NotImplementedError # Defensive:
@final
class TooManySymbolOrPunctuationPlugin(MessDetectorPlugin):
__slots__ = (
"_punctuation_count",
"_symbol_count",
"_character_count",
"_last_printable_char",
"_frenzy_symbol_in_word",
)
def __init__(self) -> None:
self._punctuation_count: int = 0
self._symbol_count: int = 0
self._character_count: int = 0
self._last_printable_char: str | None = None
self._frenzy_symbol_in_word: bool = False
def feed_info(self, character: str, info: CharInfo) -> None:
"""Optimized feed using pre-computed character info."""
self._character_count += 1
if character != self._last_printable_char and not info.safe:
if info.punct:
self._punctuation_count += 1
elif not info.digit and info.sym and not info.emoticon:
self._symbol_count += 2
self._last_printable_char = character
def reset(self) -> None: # Abstract
self._punctuation_count = 0
self._character_count = 0
self._symbol_count = 0
@property
def ratio(self) -> float:
if self._character_count == 0:
return 0.0
ratio_of_punctuation: float = (
self._punctuation_count + self._symbol_count
) / self._character_count
return ratio_of_punctuation if ratio_of_punctuation >= 0.3 else 0.0
@final
class TooManyAccentuatedPlugin(MessDetectorPlugin):
__slots__ = ("_character_count", "_accentuated_count")
def __init__(self) -> None:
self._character_count: int = 0
self._accentuated_count: int = 0
def feed_info(self, character: str, info: CharInfo) -> None:
"""Optimized feed using pre-computed character info."""
self._character_count += 1
if info.accentuated:
self._accentuated_count += 1
def reset(self) -> None: # Abstract
self._character_count = 0
self._accentuated_count = 0
@property
def ratio(self) -> float:
if self._character_count < 8:
return 0.0
ratio_of_accentuation: float = self._accentuated_count / self._character_count
return ratio_of_accentuation if ratio_of_accentuation >= 0.35 else 0.0
@final
class UnprintablePlugin(MessDetectorPlugin):
__slots__ = ("_unprintable_count", "_character_count")
def __init__(self) -> None:
self._unprintable_count: int = 0
self._character_count: int = 0
def feed_info(self, character: str, info: CharInfo) -> None:
"""Optimized feed using pre-computed character info."""
if (
not info.space
and not info.printable
and character != "\x1a"
and character != "\ufeff"
):
self._unprintable_count += 1
self._character_count += 1
def reset(self) -> None: # Abstract
self._unprintable_count = 0
@property
def ratio(self) -> float:
if self._character_count == 0: # Defensive:
return 0.0
return (self._unprintable_count * 8) / self._character_count
@final
class SuspiciousDuplicateAccentPlugin(MessDetectorPlugin):
__slots__ = (
"_successive_count",
"_character_count",
"_last_latin_character",
"_last_was_accentuated",
)
def __init__(self) -> None:
self._successive_count: int = 0
self._character_count: int = 0
self._last_latin_character: str | None = None
self._last_was_accentuated: bool = False
def feed_info(self, character: str, info: CharInfo) -> None:
"""Optimized feed using pre-computed character info."""
self._character_count += 1
if (
self._last_latin_character is not None
and info.accentuated
and self._last_was_accentuated
):
if info.upper and self._last_latin_character.isupper():
self._successive_count += 1
if remove_accent(character) == remove_accent(self._last_latin_character):
self._successive_count += 1
self._last_latin_character = character
self._last_was_accentuated = info.accentuated
def reset(self) -> None: # Abstract
self._successive_count = 0
self._character_count = 0
self._last_latin_character = None
self._last_was_accentuated = False
@property
def ratio(self) -> float:
if self._character_count == 0:
return 0.0
return (self._successive_count * 2) / self._character_count
@final
class SuspiciousRange(MessDetectorPlugin):
__slots__ = (
"_suspicious_successive_range_count",
"_character_count",
"_last_printable_seen",
"_last_printable_range",
)
def __init__(self) -> None:
self._suspicious_successive_range_count: int = 0
self._character_count: int = 0
self._last_printable_seen: str | None = None
self._last_printable_range: str | None = None
def feed_info(self, character: str, info: CharInfo) -> None:
"""Optimized feed using pre-computed character info."""
self._character_count += 1
if info.space or info.punct or info.safe:
self._last_printable_seen = None
self._last_printable_range = None
return
if self._last_printable_seen is None:
self._last_printable_seen = character
self._last_printable_range = info.range
return
unicode_range_a: str | None = self._last_printable_range
unicode_range_b: str | None = info.range
# Identical non-None ranges can never be suspicious.
if unicode_range_a != unicode_range_b or unicode_range_a is None:
if is_suspiciously_successive_range(unicode_range_a, unicode_range_b):
self._suspicious_successive_range_count += 1
self._last_printable_seen = character
self._last_printable_range = unicode_range_b
def reset(self) -> None: # Abstract
self._character_count = 0
self._suspicious_successive_range_count = 0
self._last_printable_seen = None
self._last_printable_range = None
@property
def ratio(self) -> float:
if self._character_count <= 13:
return 0.0
ratio_of_suspicious_range_usage: float = (
self._suspicious_successive_range_count * 2
) / self._character_count
return ratio_of_suspicious_range_usage
@final
class SuperWeirdWordPlugin(MessDetectorPlugin):
__slots__ = (
"_word_count",
"_bad_word_count",
"_foreign_long_count",
"_is_current_word_bad",
"_foreign_long_watch",
"_character_count",
"_bad_character_count",
"_buffer_length",
"_buffer_last_char",
"_buffer_last_char_accentuated",
"_buffer_accent_count",
"_buffer_glyph_count",
"_buffer_upper_count",
"_buffer_first_lower",
"_buffer_has_non_ascii",
)
def __init__(self) -> None:
self._word_count: int = 0
self._bad_word_count: int = 0
self._foreign_long_count: int = 0
self._is_current_word_bad: bool = False
self._foreign_long_watch: bool = False
self._character_count: int = 0
self._bad_character_count: int = 0
self._buffer_length: int = 0
self._buffer_last_char: str | None = None
self._buffer_last_char_accentuated: bool = False
self._buffer_accent_count: int = 0
self._buffer_glyph_count: int = 0
self._buffer_upper_count: int = 0
self._buffer_first_lower: bool = False
self._buffer_has_non_ascii: bool = False
def feed_info(self, character: str, info: CharInfo) -> None:
"""Optimized feed using pre-computed character info."""
if info.alpha:
if self._buffer_length == 0:
self._buffer_first_lower = info.lower
self._buffer_length += 1
self._buffer_last_char = character
if info.upper:
self._buffer_upper_count += 1
if not info.is_ascii:
self._buffer_has_non_ascii = True
self._buffer_last_char_accentuated = info.accentuated
if info.accentuated:
self._buffer_accent_count += 1
if (
not self._foreign_long_watch
and (not info.latin or info.accentuated)
and not info.is_glyph
):
self._foreign_long_watch = True
if info.is_glyph:
self._buffer_glyph_count += 1
return
if not self._buffer_length:
return
if info.space or info.punct or info.sep:
self._word_count += 1
buffer_length: int = self._buffer_length
self._character_count += buffer_length
if buffer_length >= 4:
if self._buffer_accent_count / buffer_length >= 0.5:
self._is_current_word_bad = True
elif (
self._buffer_last_char_accentuated
and self._buffer_last_char.isupper() # type: ignore[union-attr]
and self._buffer_upper_count != buffer_length
):
self._foreign_long_count += 1
self._is_current_word_bad = True
elif self._buffer_glyph_count == 1:
self._is_current_word_bad = True
self._foreign_long_count += 1
elif (
self._buffer_has_non_ascii
and self._buffer_first_lower
and self._buffer_upper_count == buffer_length - 1
):
# Inverse capitalization detector.
# No natural writing produces such words.
# see https://github.com/jawah/charset_normalizer/issues/731
self._foreign_long_count += 1
self._is_current_word_bad = True
if buffer_length >= 24 and self._foreign_long_watch:
probable_camel_cased: bool = (
self._buffer_upper_count > 0
and self._buffer_upper_count / buffer_length <= 0.3
)
if not probable_camel_cased:
self._foreign_long_count += 1
self._is_current_word_bad = True
if self._is_current_word_bad:
self._bad_word_count += 1
self._bad_character_count += buffer_length
self._is_current_word_bad = False
self._foreign_long_watch = False
self._buffer_length = 0
self._buffer_last_char = None
self._buffer_last_char_accentuated = False
self._buffer_accent_count = 0
self._buffer_glyph_count = 0
self._buffer_upper_count = 0
self._buffer_first_lower = False
self._buffer_has_non_ascii = False
elif (
character not in {"<", ">", "-", "=", "~", "|", "_"}
and not info.digit
and info.sym
):
self._is_current_word_bad = True
self._buffer_length += 1
self._buffer_last_char = character
self._buffer_last_char_accentuated = False
def reset(self) -> None: # Abstract
self._buffer_length = 0
self._buffer_last_char = None
self._buffer_last_char_accentuated = False
self._is_current_word_bad = False
self._foreign_long_watch = False
self._bad_word_count = 0
self._word_count = 0
self._character_count = 0
self._bad_character_count = 0
self._foreign_long_count = 0
self._buffer_accent_count = 0
self._buffer_glyph_count = 0
self._buffer_upper_count = 0
self._buffer_first_lower = False
self._buffer_has_non_ascii = False
@property
def ratio(self) -> float:
if self._word_count <= 10 and self._foreign_long_count == 0:
return 0.0
return self._bad_character_count / self._character_count
@final
class CjkUncommonPlugin(MessDetectorPlugin):
"""
Detect messy CJK text that probably means nothing.
"""
__slots__ = ("_character_count", "_uncommon_count")
def __init__(self) -> None:
self._character_count: int = 0
self._uncommon_count: int = 0
def feed_info(self, character: str, info: CharInfo) -> None:
"""Optimized feed using pre-computed character info."""
self._character_count += 1
if not info.common_cjk:
self._uncommon_count += 1
def reset(self) -> None: # Abstract
self._character_count = 0
self._uncommon_count = 0
@property
def ratio(self) -> float:
if self._character_count < 8:
return 0.0
uncommon_form_usage: float = self._uncommon_count / self._character_count
# we can be pretty sure it's garbage when uncommon characters are widely
# used. otherwise it could just be traditional chinese for example.
return uncommon_form_usage / 10 if uncommon_form_usage > 0.5 else 0.0
@final
class ArchaicUpperLowerPlugin(MessDetectorPlugin):
__slots__ = (
"_buf",
"_character_count_since_last_sep",
"_successive_upper_lower_count",
"_successive_upper_lower_count_final",
"_character_count",
"_last_alpha_seen",
"_last_alpha_seen_upper",
"_last_alpha_seen_lower",
"_current_ascii_only",
)
def __init__(self) -> None:
self._buf: bool = False
self._character_count_since_last_sep: int = 0
self._successive_upper_lower_count: int = 0
self._successive_upper_lower_count_final: int = 0
self._character_count: int = 0
self._last_alpha_seen: str | None = None
self._last_alpha_seen_upper: bool = False
self._last_alpha_seen_lower: bool = False
self._current_ascii_only: bool = True
def feed_info(self, character: str, info: CharInfo) -> None:
"""Optimized feed using pre-computed character info."""
is_concerned: bool = info.alpha and info.case_variable
chunk_sep: bool = not is_concerned
if chunk_sep and self._character_count_since_last_sep > 0:
if (
self._character_count_since_last_sep <= 64
and not info.digit
and not self._current_ascii_only
):
self._successive_upper_lower_count_final += (
self._successive_upper_lower_count
)
self._successive_upper_lower_count = 0
self._character_count_since_last_sep = 0
self._last_alpha_seen = None
self._buf = False
self._character_count += 1
self._current_ascii_only = True
return
if self._current_ascii_only and not info.is_ascii:
self._current_ascii_only = False
if self._last_alpha_seen is not None:
if (info.upper and self._last_alpha_seen_lower) or (
info.lower and self._last_alpha_seen_upper
):
if self._buf:
self._successive_upper_lower_count += 2
self._buf = False
else:
self._buf = True
else:
self._buf = False
self._character_count += 1
self._character_count_since_last_sep += 1
self._last_alpha_seen = character
self._last_alpha_seen_upper = info.upper
self._last_alpha_seen_lower = info.lower
def reset(self) -> None: # Abstract
self._character_count = 0
self._character_count_since_last_sep = 0
self._successive_upper_lower_count = 0
self._successive_upper_lower_count_final = 0
self._last_alpha_seen = None
self._last_alpha_seen_upper = False
self._last_alpha_seen_lower = False
self._buf = False
self._current_ascii_only = True
@property
def ratio(self) -> float:
if self._character_count == 0: # Defensive:
return 0.0
return self._successive_upper_lower_count_final / self._character_count
@final
class ArabicIsolatedFormPlugin(MessDetectorPlugin):
__slots__ = ("_character_count", "_isolated_form_count")
def __init__(self) -> None:
self._character_count: int = 0
self._isolated_form_count: int = 0
def reset(self) -> None: # Abstract
self._character_count = 0
self._isolated_form_count = 0
def feed_info(self, character: str, info: CharInfo) -> None:
"""Optimized feed using pre-computed character info."""
self._character_count += 1
if info.flags & _ARABIC_ISOLATED_FORM:
self._isolated_form_count += 1
@property
def ratio(self) -> float:
if self._character_count < 8:
return 0.0
isolated_form_usage: float = self._isolated_form_count / self._character_count
return isolated_form_usage
@lru_cache(maxsize=1024)
def is_suspiciously_successive_range(
unicode_range_a: str | None, unicode_range_b: str | None
) -> bool:
"""
Determine if two Unicode range seen next to each other can be considered as suspicious.
"""
if unicode_range_a is None or unicode_range_b is None:
return True
if unicode_range_a == unicode_range_b:
return False
if "Latin" in unicode_range_a and "Latin" in unicode_range_b:
return False
if "Emoticons" in unicode_range_a or "Emoticons" in unicode_range_b:
return False
# Latin characters can be accompanied with a combining diacritical mark
# eg. Vietnamese.
if ("Latin" in unicode_range_a or "Latin" in unicode_range_b) and (
"Combining" in unicode_range_a or "Combining" in unicode_range_b
):
return False
keywords_range_a, keywords_range_b = (
unicode_range_a.split(" "),
unicode_range_b.split(" "),
)
for el in keywords_range_a:
if el in UNICODE_SECONDARY_RANGE_KEYWORD:
continue
if el in keywords_range_b:
return False
# Japanese Exception
range_a_jp_chars, range_b_jp_chars = (
unicode_range_a
in (
"Hiragana",
"Katakana",
),
unicode_range_b in ("Hiragana", "Katakana"),
)
if (range_a_jp_chars or range_b_jp_chars) and (
"CJK" in unicode_range_a or "CJK" in unicode_range_b
):
return False
if range_a_jp_chars and range_b_jp_chars:
return False
if "Hangul" in unicode_range_a or "Hangul" in unicode_range_b:
if "CJK" in unicode_range_a or "CJK" in unicode_range_b:
return False
if unicode_range_a == "Basic Latin" or unicode_range_b == "Basic Latin":
return False
# Chinese/Japanese use dedicated range for punctuation and/or separators.
if ("CJK" in unicode_range_a or "CJK" in unicode_range_b) or (
unicode_range_a in ["Katakana", "Hiragana"]
and unicode_range_b in ["Katakana", "Hiragana"]
):
if "Punctuation" in unicode_range_a or "Punctuation" in unicode_range_b:
return False
if "Forms" in unicode_range_a or "Forms" in unicode_range_b:
return False
if unicode_range_a == "Basic Latin" or unicode_range_b == "Basic Latin":
return False
return True
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.
"""
seq_len: int = len(decoded_sequence)
if seq_len < 511:
step: int = 32
elif seq_len < 1024:
step = 64
else:
step = 128
# str.isascii() is O(1) (the flag lives in the str header). Six of the
# nine detectors provably keep a 0.0 ratio on ASCII-only input and are
# therefore not fed at all.
is_pure_ascii: bool = decoded_sequence.isascii()
# Cached per-codepoint character properties (see CharInfo). ASCII
# characters resolve through the immutable import-time table; anything
# else goes through the lru_cache-backed slow path.
ascii_info = _ASCII_CHAR_INFO
char_info = _char_info
mean_mess_ratio: float
info: CharInfo
# Create each detector as a named local variable (unrolled from the generic loop).
# This eliminates per-character iteration over the detector list and
# per-character eligible() virtual dispatch, while keeping every plugin class
# intact and fully readable.
d_sp: TooManySymbolOrPunctuationPlugin = TooManySymbolOrPunctuationPlugin()
d_ta: TooManyAccentuatedPlugin = TooManyAccentuatedPlugin()
d_up: UnprintablePlugin = UnprintablePlugin()
d_sda: SuspiciousDuplicateAccentPlugin = SuspiciousDuplicateAccentPlugin()
d_sr: SuspiciousRange = SuspiciousRange()
d_sw: SuperWeirdWordPlugin = SuperWeirdWordPlugin()
d_cu: CjkUncommonPlugin = CjkUncommonPlugin()
d_au: ArchaicUpperLowerPlugin = ArchaicUpperLowerPlugin()
d_ai: ArabicIsolatedFormPlugin = ArabicIsolatedFormPlugin()
# Local references for feed_info methods called in the hot loop.
d_sp_feed = d_sp.feed_info
d_ta_feed = d_ta.feed_info
d_up_feed = d_up.feed_info
d_sda_feed = d_sda.feed_info
d_sr_feed = d_sr.feed_info
d_sw_feed = d_sw.feed_info
d_cu_feed = d_cu.feed_info
d_au_feed = d_au.feed_info
d_ai_feed = d_ai.feed_info
for block_start in range(0, seq_len, step):
for character in decoded_sequence[block_start : block_start + step]:
# Character properties computed once per distinct codepoint
# (shared across all plugins and all mess_ratio calls).
# ord() doubles as the ASCII table index and, unlike
# str.isascii(), lowers to a mypyc primitive.
codepoint: int = ord(character)
if codepoint < 128:
info = ascii_info[codepoint]
else:
info = char_info(character)
# Detectors with eligible() == always True
d_up_feed(character, info)
d_sw_feed(character, info)
if is_pure_ascii:
# The six remaining detectors provably stay at 0.0 (see above).
if info.printable:
d_sp_feed(character, info)
continue
d_au_feed(character, info)
# Detectors with eligible() == isprintable
if info.printable:
d_sp_feed(character, info)
d_sr_feed(character, info)
# Detectors with eligible() == isalpha
if info.alpha:
d_ta_feed(character, info)
# SuspiciousDuplicateAccent: isalpha() and is_latin()
if info.latin:
d_sda_feed(character, info)
# CjkUncommon: is_cjk()
if info.is_cjk:
d_cu_feed(character, info)
# ArabicIsolatedForm: is_arabic()
if info.is_arabic:
d_ai_feed(character, info)
mean_mess_ratio = (
d_sp.ratio
+ d_ta.ratio
+ d_up.ratio
+ d_sda.ratio
+ d_sr.ratio
+ d_sw.ratio
+ d_cu.ratio
+ d_au.ratio
+ d_ai.ratio
)
if mean_mess_ratio >= maximum_threshold:
break
else:
# Flush last word buffer in SuperWeirdWordPlugin via trailing newline.
nl_info = ascii_info[10] # "\n"
d_sw_feed("\n", nl_info)
if not is_pure_ascii:
d_au_feed("\n", nl_info)
d_up_feed("\n", nl_info)
mean_mess_ratio = (
d_sp.ratio
+ d_ta.ratio
+ d_up.ratio
+ d_sda.ratio
+ d_sr.ratio
+ d_sw.ratio
+ d_cu.ratio
+ d_au.ratio
+ d_ai.ratio
)
if debug: # Defensive:
logger = getLogger("charset_normalizer")
logger.log(
TRACE,
"Mess-detector extended-analysis start. "
f"intermediary_mean_mess_ratio_calc={step} mean_mess_ratio={mean_mess_ratio} "
f"maximum_threshold={maximum_threshold}",
)
if seq_len > 16:
logger.log(TRACE, f"Starting with: {decoded_sequence[:16]}")
logger.log(TRACE, f"Ending with: {decoded_sequence[-16::]}")
for dt in [d_sp, d_ta, d_up, d_sda, d_sr, d_sw, d_cu, d_au, d_ai]:
logger.log(TRACE, f"{dt.__class__}: {dt.ratio}")
return round(mean_mess_ratio, 3)