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Определение специфических рекомендаций (матрица профилей §8):
1. Ж/д слой (закрыт мёртвый railway ×2.5 у РАС):
- /api/v1/water/{case_id} отдаёт railway=rail как LineString
(без service/industrial/military веток), кэш общий v2;
- railway_warning «перекрыть/проверить немедленно» по профилям;
- SearchMap: Polyline слой ж/д (тёмно-красный), счётчики 💧/🚂.
2. cant_swim → профиль не_умеет_плавать (water ×3.0, без изменения
радиуса, critical_warning «обследовать водоёмы НЕМЕДЛЕННО»):
- раньше чекбокс влиял только на текст, в скоринге был пробел;
- derive в analyze._derive_profiles — работает и для closed_cases.
3. unmodeled_profiles: ДЦП/слабое зрение/слух — честная пометка
«вне поведенческой модели» с пояснением (vector_tasks B12:
профили без аналога не выдавать за учтённые); блок на фронте
в карточке здоровья.
Площадь воды: сферический эксцесс, проверен на квадрате 53° (744017 м²
vs 743272 точного). Тесты: 202 passed (новый test_cant_swim_profile).
123 lines
3.5 KiB
Python
123 lines
3.5 KiB
Python
"""
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pygments.lexers.special
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~~~~~~~~~~~~~~~~~~~~~~~
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Special lexers.
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:copyright: Copyright 2006-present by the Pygments team, see AUTHORS.
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:license: BSD, see LICENSE for details.
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"""
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import ast
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from pygments.lexer import Lexer, line_re
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from pygments.token import Token, Error, Text, Generic
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from pygments.util import get_choice_opt
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__all__ = ['TextLexer', 'OutputLexer', 'RawTokenLexer']
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class TextLexer(Lexer):
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"""
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"Null" lexer, doesn't highlight anything.
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"""
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name = 'Text only'
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aliases = ['text']
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filenames = ['*.txt']
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mimetypes = ['text/plain']
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url = ""
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version_added = ''
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priority = 0.01
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def get_tokens_unprocessed(self, text):
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yield 0, Text, text
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def analyse_text(text):
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return TextLexer.priority
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class OutputLexer(Lexer):
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"""
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Simple lexer that highlights everything as ``Token.Generic.Output``.
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"""
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name = 'Text output'
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aliases = ['output']
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url = ""
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version_added = '2.10'
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_example = "output/output"
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def get_tokens_unprocessed(self, text):
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yield 0, Generic.Output, text
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_ttype_cache = {}
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class RawTokenLexer(Lexer):
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"""
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Recreate a token stream formatted with the `RawTokenFormatter`.
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Additional options accepted:
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`compress`
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If set to ``"gz"`` or ``"bz2"``, decompress the token stream with
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the given compression algorithm before lexing (default: ``""``).
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"""
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name = 'Raw token data'
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aliases = []
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filenames = []
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mimetypes = ['application/x-pygments-tokens']
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url = 'https://pygments.org/docs/formatters/#RawTokenFormatter'
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version_added = ''
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def __init__(self, **options):
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self.compress = get_choice_opt(options, 'compress',
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['', 'none', 'gz', 'bz2'], '')
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Lexer.__init__(self, **options)
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def get_tokens(self, text):
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if self.compress:
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if isinstance(text, str):
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text = text.encode('latin1')
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try:
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if self.compress == 'gz':
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import gzip
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text = gzip.decompress(text)
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elif self.compress == 'bz2':
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import bz2
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text = bz2.decompress(text)
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except OSError:
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yield Error, text.decode('latin1')
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if isinstance(text, bytes):
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text = text.decode('latin1')
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# do not call Lexer.get_tokens() because stripping is not optional.
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text = text.strip('\n') + '\n'
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for i, t, v in self.get_tokens_unprocessed(text):
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yield t, v
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def get_tokens_unprocessed(self, text):
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length = 0
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for match in line_re.finditer(text):
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try:
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ttypestr, val = match.group().rstrip().split('\t', 1)
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ttype = _ttype_cache.get(ttypestr)
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if not ttype:
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ttype = Token
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ttypes = ttypestr.split('.')[1:]
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for ttype_ in ttypes:
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if not ttype_ or not ttype_[0].isupper():
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raise ValueError('malformed token name')
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ttype = getattr(ttype, ttype_)
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_ttype_cache[ttypestr] = ttype
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val = ast.literal_eval(val)
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if not isinstance(val, str):
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raise ValueError('expected str')
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except (SyntaxError, ValueError):
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val = match.group()
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ttype = Error
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yield length, ttype, val
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length += len(val)
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