745 lines
22 KiB
Python
745 lines
22 KiB
Python
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from __future__ import annotations
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import sys
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from functools import lru_cache
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from logging import getLogger
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if sys.version_info >= (3, 8):
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from typing import final
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else:
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try:
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from typing_extensions import final
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except ImportError:
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def final(cls): # type: ignore[misc,no-untyped-def]
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return cls
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from .constant import (
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COMMON_SAFE_ASCII_CHARACTERS,
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TRACE,
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UNICODE_SECONDARY_RANGE_KEYWORD,
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_ACCENTUATED,
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_CJK,
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_HANGUL,
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_HIRAGANA,
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_KATAKANA,
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_LATIN,
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_THAI,
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)
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from .utils import (
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_character_flags,
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is_accentuated,
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is_arabic,
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is_arabic_isolated_form,
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is_case_variable,
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is_cjk,
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is_emoticon,
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is_latin,
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is_punctuation,
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is_separator,
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is_symbol,
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is_unprintable,
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remove_accent,
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unicode_range,
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is_cjk_uncommon,
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)
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# Combined bitmask for CJK/Hangul/Katakana/Hiragana/Thai glyph detection.
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_GLYPH_MASK: int = _CJK | _HANGUL | _KATAKANA | _HIRAGANA | _THAI
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class MessDetectorPlugin:
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"""
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Base abstract class used for mess detection plugins.
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All detectors MUST extend and implement given methods.
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"""
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__slots__ = ()
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def eligible(self, character: str) -> bool:
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"""
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Determine if given character should be fed in.
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"""
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raise NotImplementedError # pragma: nocover
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def feed(self, character: str) -> None:
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"""
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The main routine to be executed upon character.
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Insert the logic in witch the text would be considered chaotic.
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"""
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raise NotImplementedError # pragma: nocover
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def reset(self) -> None: # pragma: no cover
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"""
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Permit to reset the plugin to the initial state.
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"""
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raise NotImplementedError
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@property
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def ratio(self) -> float:
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"""
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Compute the chaos ratio based on what your feed() has seen.
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Must NOT be lower than 0.; No restriction gt 0.
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"""
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raise NotImplementedError # pragma: nocover
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@final
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class TooManySymbolOrPunctuationPlugin(MessDetectorPlugin):
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__slots__ = (
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"_punctuation_count",
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"_symbol_count",
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"_character_count",
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"_last_printable_char",
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"_frenzy_symbol_in_word",
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)
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def __init__(self) -> None:
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self._punctuation_count: int = 0
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self._symbol_count: int = 0
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self._character_count: int = 0
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self._last_printable_char: str | None = None
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self._frenzy_symbol_in_word: bool = False
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def eligible(self, character: str) -> bool:
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return character.isprintable()
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def feed(self, character: str) -> None:
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self._character_count += 1
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if (
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character != self._last_printable_char
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and character not in COMMON_SAFE_ASCII_CHARACTERS
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):
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if is_punctuation(character):
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self._punctuation_count += 1
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elif (
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not character.isdigit()
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and is_symbol(character)
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and not is_emoticon(character)
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):
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self._symbol_count += 2
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self._last_printable_char = character
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def reset(self) -> None: # Abstract
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self._punctuation_count = 0
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self._character_count = 0
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self._symbol_count = 0
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@property
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def ratio(self) -> float:
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if self._character_count == 0:
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return 0.0
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ratio_of_punctuation: float = (
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self._punctuation_count + self._symbol_count
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) / self._character_count
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return ratio_of_punctuation if ratio_of_punctuation >= 0.3 else 0.0
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@final
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class TooManyAccentuatedPlugin(MessDetectorPlugin):
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__slots__ = ("_character_count", "_accentuated_count")
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def __init__(self) -> None:
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self._character_count: int = 0
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self._accentuated_count: int = 0
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def eligible(self, character: str) -> bool:
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return character.isalpha()
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def feed(self, character: str) -> None:
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self._character_count += 1
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if is_accentuated(character):
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self._accentuated_count += 1
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def reset(self) -> None: # Abstract
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self._character_count = 0
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self._accentuated_count = 0
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@property
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def ratio(self) -> float:
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if self._character_count < 8:
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return 0.0
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ratio_of_accentuation: float = self._accentuated_count / self._character_count
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return ratio_of_accentuation if ratio_of_accentuation >= 0.35 else 0.0
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@final
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class UnprintablePlugin(MessDetectorPlugin):
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__slots__ = ("_unprintable_count", "_character_count")
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def __init__(self) -> None:
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self._unprintable_count: int = 0
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self._character_count: int = 0
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def eligible(self, character: str) -> bool:
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return True
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def feed(self, character: str) -> None:
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if is_unprintable(character):
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self._unprintable_count += 1
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self._character_count += 1
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def reset(self) -> None: # Abstract
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self._unprintable_count = 0
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@property
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def ratio(self) -> float:
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if self._character_count == 0:
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return 0.0
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return (self._unprintable_count * 8) / self._character_count
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@final
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class SuspiciousDuplicateAccentPlugin(MessDetectorPlugin):
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__slots__ = (
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"_successive_count",
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"_character_count",
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"_last_latin_character",
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"_last_was_accentuated",
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)
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def __init__(self) -> None:
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self._successive_count: int = 0
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self._character_count: int = 0
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self._last_latin_character: str | None = None
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self._last_was_accentuated: bool = False
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def eligible(self, character: str) -> bool:
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return character.isalpha() and is_latin(character)
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def feed(self, character: str) -> None:
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self._character_count += 1
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current_accentuated: bool = is_accentuated(character)
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if (
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self._last_latin_character is not None
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and current_accentuated
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and self._last_was_accentuated
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):
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if character.isupper() and self._last_latin_character.isupper():
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self._successive_count += 1
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# Worse if its the same char duplicated with different accent.
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if remove_accent(character) == remove_accent(self._last_latin_character):
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self._successive_count += 1
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self._last_latin_character = character
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self._last_was_accentuated = current_accentuated
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def reset(self) -> None: # Abstract
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self._successive_count = 0
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self._character_count = 0
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self._last_latin_character = None
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self._last_was_accentuated = False
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@property
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def ratio(self) -> float:
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if self._character_count == 0:
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return 0.0
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return (self._successive_count * 2) / self._character_count
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@final
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class SuspiciousRange(MessDetectorPlugin):
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__slots__ = (
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"_suspicious_successive_range_count",
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"_character_count",
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"_last_printable_seen",
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"_last_printable_range",
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)
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def __init__(self) -> None:
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self._suspicious_successive_range_count: int = 0
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self._character_count: int = 0
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self._last_printable_seen: str | None = None
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self._last_printable_range: str | None = None
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def eligible(self, character: str) -> bool:
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return character.isprintable()
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def feed(self, character: str) -> None:
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self._character_count += 1
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if (
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character.isspace()
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or is_punctuation(character)
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or character in COMMON_SAFE_ASCII_CHARACTERS
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):
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self._last_printable_seen = None
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self._last_printable_range = None
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return
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if self._last_printable_seen is None:
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self._last_printable_seen = character
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self._last_printable_range = unicode_range(character)
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return
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unicode_range_a: str | None = self._last_printable_range
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unicode_range_b: str | None = unicode_range(character)
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if is_suspiciously_successive_range(unicode_range_a, unicode_range_b):
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self._suspicious_successive_range_count += 1
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self._last_printable_seen = character
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self._last_printable_range = unicode_range_b
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def reset(self) -> None: # Abstract
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self._character_count = 0
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self._suspicious_successive_range_count = 0
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self._last_printable_seen = None
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self._last_printable_range = None
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@property
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def ratio(self) -> float:
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if self._character_count <= 13:
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return 0.0
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ratio_of_suspicious_range_usage: float = (
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self._suspicious_successive_range_count * 2
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) / self._character_count
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return ratio_of_suspicious_range_usage
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@final
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class SuperWeirdWordPlugin(MessDetectorPlugin):
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__slots__ = (
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"_word_count",
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"_bad_word_count",
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"_foreign_long_count",
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"_is_current_word_bad",
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"_foreign_long_watch",
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"_character_count",
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"_bad_character_count",
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"_buffer_length",
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"_buffer_last_char",
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"_buffer_last_char_accentuated",
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"_buffer_accent_count",
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"_buffer_glyph_count",
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"_buffer_upper_count",
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)
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def __init__(self) -> None:
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self._word_count: int = 0
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self._bad_word_count: int = 0
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self._foreign_long_count: int = 0
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self._is_current_word_bad: bool = False
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self._foreign_long_watch: bool = False
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self._character_count: int = 0
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self._bad_character_count: int = 0
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self._buffer_length: int = 0
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self._buffer_last_char: str | None = None
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self._buffer_last_char_accentuated: bool = False
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self._buffer_accent_count: int = 0
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self._buffer_glyph_count: int = 0
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self._buffer_upper_count: int = 0
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def eligible(self, character: str) -> bool:
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return True
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def feed(self, character: str) -> None:
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if character.isalpha():
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self._buffer_length += 1
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self._buffer_last_char = character
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if character.isupper():
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self._buffer_upper_count += 1
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flags: int = _character_flags(character)
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char_accentuated: bool = bool(flags & _ACCENTUATED)
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self._buffer_last_char_accentuated = char_accentuated
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if char_accentuated:
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self._buffer_accent_count += 1
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if (
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not self._foreign_long_watch
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and (not (flags & _LATIN) or char_accentuated)
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and not (flags & _GLYPH_MASK)
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):
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self._foreign_long_watch = True
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if flags & _GLYPH_MASK:
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self._buffer_glyph_count += 1
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return
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if not self._buffer_length:
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return
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if (
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character.isspace() or is_punctuation(character) or is_separator(character)
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) and self._buffer_length:
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self._word_count += 1
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buffer_length: int = self._buffer_length
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self._character_count += buffer_length
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if buffer_length >= 4:
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if self._buffer_accent_count / buffer_length >= 0.5:
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self._is_current_word_bad = True
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# Word/Buffer ending with an upper case accentuated letter are so rare,
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# that we will consider them all as suspicious. Same weight as foreign_long suspicious.
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elif (
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self._buffer_last_char_accentuated
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and self._buffer_last_char.isupper() # type: ignore[union-attr]
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and self._buffer_upper_count != buffer_length
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):
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self._foreign_long_count += 1
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self._is_current_word_bad = True
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elif self._buffer_glyph_count == 1:
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self._is_current_word_bad = True
|
||
|
|
self._foreign_long_count += 1
|
||
|
|
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
|
||
|
|
elif (
|
||
|
|
character not in {"<", ">", "-", "=", "~", "|", "_"}
|
||
|
|
and not character.isdigit()
|
||
|
|
and is_symbol(character)
|
||
|
|
):
|
||
|
|
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
|
||
|
|
|
||
|
|
@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 eligible(self, character: str) -> bool:
|
||
|
|
return is_cjk(character)
|
||
|
|
|
||
|
|
def feed(self, character: str) -> None:
|
||
|
|
self._character_count += 1
|
||
|
|
|
||
|
|
if is_cjk_uncommon(character):
|
||
|
|
self._uncommon_count += 1
|
||
|
|
return
|
||
|
|
|
||
|
|
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",
|
||
|
|
"_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._current_ascii_only: bool = True
|
||
|
|
|
||
|
|
def eligible(self, character: str) -> bool:
|
||
|
|
return True
|
||
|
|
|
||
|
|
def feed(self, character: str) -> None:
|
||
|
|
is_concerned: bool = character.isalpha() and is_case_variable(character)
|
||
|
|
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 character.isdigit()
|
||
|
|
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 character.isascii():
|
||
|
|
self._current_ascii_only = False
|
||
|
|
|
||
|
|
if self._last_alpha_seen is not None:
|
||
|
|
if (character.isupper() and self._last_alpha_seen.islower()) or (
|
||
|
|
character.islower() and self._last_alpha_seen.isupper()
|
||
|
|
):
|
||
|
|
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
|
||
|
|
|
||
|
|
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._buf = False
|
||
|
|
self._current_ascii_only = True
|
||
|
|
|
||
|
|
@property
|
||
|
|
def ratio(self) -> float:
|
||
|
|
if self._character_count == 0:
|
||
|
|
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 eligible(self, character: str) -> bool:
|
||
|
|
return is_arabic(character)
|
||
|
|
|
||
|
|
def feed(self, character: str) -> None:
|
||
|
|
self._character_count += 1
|
||
|
|
|
||
|
|
if is_arabic_isolated_form(character):
|
||
|
|
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
|
||
|
|
|
||
|
|
|
||
|
|
# import time messdetector plugins detection(...)
|
||
|
|
_DETECTOR_CLASSES: tuple[type[MessDetectorPlugin], ...] = tuple(
|
||
|
|
md_class for md_class in MessDetectorPlugin.__subclasses__()
|
||
|
|
)
|
||
|
|
|
||
|
|
|
||
|
|
@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: list[MessDetectorPlugin] = [md_class() for md_class in _DETECTOR_CLASSES]
|
||
|
|
|
||
|
|
mean_mess_ratio: float
|
||
|
|
seq_len: int = len(decoded_sequence)
|
||
|
|
|
||
|
|
if seq_len < 511:
|
||
|
|
step: int = 32
|
||
|
|
elif seq_len < 1024:
|
||
|
|
step = 64
|
||
|
|
else:
|
||
|
|
step = 128
|
||
|
|
|
||
|
|
for block_start in range(0, seq_len, step):
|
||
|
|
for character in decoded_sequence[block_start : block_start + step]:
|
||
|
|
for detector in detectors:
|
||
|
|
if detector.eligible(character):
|
||
|
|
detector.feed(character)
|
||
|
|
|
||
|
|
mean_mess_ratio = sum(dt.ratio for dt in detectors)
|
||
|
|
|
||
|
|
if mean_mess_ratio >= maximum_threshold:
|
||
|
|
break
|
||
|
|
else:
|
||
|
|
# Flush last word buffer in SuperWeirdWordPlugin via trailing newline.
|
||
|
|
for detector in detectors:
|
||
|
|
if detector.eligible("\n"):
|
||
|
|
detector.feed("\n")
|
||
|
|
mean_mess_ratio = sum(dt.ratio for dt in detectors)
|
||
|
|
|
||
|
|
if debug:
|
||
|
|
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 detectors:
|
||
|
|
logger.log(TRACE, f"{dt.__class__}: {dt.ratio}")
|
||
|
|
|
||
|
|
return round(mean_mess_ratio, 3)
|