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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).
77 lines
3.2 KiB
Python
77 lines
3.2 KiB
Python
"""
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pygments.lexers.ezhil
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~~~~~~~~~~~~~~~~~~~~~
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Pygments lexers for Ezhil language.
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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 re
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from pygments.lexer import RegexLexer, include, words
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from pygments.token import Keyword, Comment, Name, String, Number, \
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Punctuation, Operator, Whitespace
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__all__ = ['EzhilLexer']
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class EzhilLexer(RegexLexer):
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"""
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Lexer for Ezhil, a Tamil script-based programming language.
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"""
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name = 'Ezhil'
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url = 'http://ezhillang.org'
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aliases = ['ezhil']
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filenames = ['*.n']
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mimetypes = ['text/x-ezhil']
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version_added = '2.1'
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# Refer to tamil.utf8.tamil_letters from open-tamil for a stricter version of this.
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# This much simpler version is close enough, and includes combining marks.
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_TALETTERS = '[a-zA-Z_]|[\u0b80-\u0bff]'
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tokens = {
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'root': [
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include('keywords'),
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(r'#.*$', Comment.Single),
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(r'[@+/*,^\-%]|[!<>=]=?|&&?|\|\|?', Operator),
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('இல்', Operator.Word),
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(words(('assert', 'max', 'min',
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'நீளம்', 'சரம்_இடமாற்று', 'சரம்_கண்டுபிடி',
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'பட்டியல்', 'பின்இணை', 'வரிசைப்படுத்து',
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'எடு', 'தலைகீழ்', 'நீட்டிக்க', 'நுழைக்க', 'வை',
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'கோப்பை_திற', 'கோப்பை_எழுது', 'கோப்பை_மூடு',
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'pi', 'sin', 'cos', 'tan', 'sqrt', 'hypot', 'pow',
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'exp', 'log', 'log10', 'exit',
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), suffix=r'\b'), Name.Builtin),
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(r'(True|False)\b', Keyword.Constant),
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(r'[^\S\n]+', Whitespace),
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include('identifier'),
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include('literal'),
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(r'[(){}\[\]:;.]', Punctuation),
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],
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'keywords': [
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('பதிப்பி|தேர்ந்தெடு|தேர்வு|ஏதேனில்|ஆனால்|இல்லைஆனால்|இல்லை|ஆக|ஒவ்வொன்றாக|இல்|வரை|செய்|முடியேனில்|பின்கொடு|முடி|நிரல்பாகம்|தொடர்|நிறுத்து|நிரல்பாகம்', Keyword),
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],
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'identifier': [
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('(?:'+_TALETTERS+')(?:[0-9]|'+_TALETTERS+')*', Name),
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],
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'literal': [
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(r'".*?"', String),
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(r'\d+((\.\d*)?[eE][+-]?\d+|\.\d*)', Number.Float),
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(r'\d+', Number.Integer),
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]
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}
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def analyse_text(text):
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"""This language uses Tamil-script. We'll assume that if there's a
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decent amount of Tamil-characters, it's this language. This assumption
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is obviously horribly off if someone uses string literals in tamil
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in another language."""
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if len(re.findall(r'[\u0b80-\u0bff]', text)) > 10:
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return 0.25
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def __init__(self, **options):
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super().__init__(**options)
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self.encoding = options.get('encoding', 'utf-8')
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