Dj LUdZddlmZddlZddlmZddlmZdZded<e e d d Z d ed <e d ddge ddZ d ed<GddeZ ejddGddZedddZejdGddZy)z+Detection pipeline stages and shared types.) annotationsN)field) TypedDictgffffff?floatDETERMINISTIC_CONFIDENCEbytes HIGH_BYTES ASCII_TEXT_BYTESc:eZdZUdZded<ded<ded<ded<y) DetectionDictzDictionary representation of a detection result. Returned by :func:`chardet.detect`, :func:`chardet.detect_all`, and :attr:`chardet.UniversalDetector.result`. str | Noneencodingr confidencelanguage mime_typeN)__name__ __module__ __qualname____doc____annotations__W/root/workspace/ytshorts/venv/lib/python3.12/site-packages/chardet/pipeline/__init__.pyrrs! rrT)frozenslotscFeZdZUdZded<ded<ded<dZded<d d Zy) DetectionResultzA single encoding detection result. Frozen dataclass holding the encoding name, confidence score, and optional language identifier returned by the detection pipeline. rrrrrNrc`|j|j|j|jdS)zConvert this result to a plain dict. :returns: A dict with ``'encoding'``, ``'confidence'``, ``'language'``, and ``'mime_type'`` keys. rrrrr&)selfs r to_dictzDetectionResult.to_dict2s*  //    r)returnr)rrrrrrr(rrr r$r$%s*  Iz   rr$g)rrr)r"cteZdZUdZeeZded<dZded<eeZ ded <eeZ ded <y) PipelineContexta)Per-run mutable state for a single pipeline invocation. Created once at the start of ``run_pipeline()`` and threaded through the call chain via function parameters. Each concurrent ``detect()`` call gets its own context, eliminating the need for module-level mutable caches. )default_factoryz!dict[str, tuple[float, int, int]]analysis_cacheNz int | Nonenon_ascii_countzdict[str, float] mb_scores mb_coverage) rrrrrdictr-rr.r/r0rrr r+r+DsC9>d8SN5S"&OZ&"'"=I=$)$$?K!?rr+)r __future__r dataclassesrtypingrrrr ranger rr dataclassr$ _NONE_RESULTr+rrr r8s1" #'%&%e,- E-  tT FE$4E FG%G I d$/  0 6tL T" @ @# @r