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""" pygments.lexers.special ~~~~~~~~~~~~~~~~~~~~~~~ Special lexers. :copyright: Copyright 2006-2022 by the Pygments team, see AUTHORS. :license: BSD, see LICENSE for details. """ import ast from pygments.lexer import Lexer, line_re from pygments.token import Token, Error, Text, Generic from pygments.util import get_choice_opt __all__ = ['TextLexer', 'OutputLexer', 'RawTokenLexer'] class TextLexer(Lexer): """ "Null" lexer, doesn't highlight anything. """ name = 'Text only' aliases = ['text'] filenames = ['*.txt'] mimetypes = ['text/plain'] priority = 0.01 def get_tokens_unprocessed(self, text): yield 0, Text, text def analyse_text(text): return TextLexer.priority class OutputLexer(Lexer): """ Simple lexer that highlights everything as ``Token.Generic.Output``. .. versionadded:: 2.10 """ name = 'Text output' aliases = ['output'] def get_tokens_unprocessed(self, text): yield 0, Generic.Output, text _ttype_cache = {} class RawTokenLexer(Lexer): """ Recreate a token stream formatted with the `RawTokenFormatter`. Additional options accepted: `compress` If set to ``"gz"`` or ``"bz2"``, decompress the token stream with the given compression algorithm before lexing (default: ``""``). """ name = 'Raw token data' aliases = [] filenames = [] mimetypes = ['application/x-pygments-tokens'] def __init__(self, **options): self.compress = get_choice_opt(options, 'compress', ['', 'none', 'gz', 'bz2'], '') Lexer.__init__(self, **options) def get_tokens(self, text): if self.compress: if isinstance(text, str): text = text.encode('latin1') try: if self.compress == 'gz': import gzip text = gzip.decompress(text) elif self.compress == 'bz2': import bz2 text = bz2.decompress(text) except OSError: yield Error, text.decode('latin1') if isinstance(text, bytes): text = text.decode('latin1') # do not call Lexer.get_tokens() because stripping is not optional. text = text.strip('\n') + '\n' for i, t, v in self.get_tokens_unprocessed(text): yield t, v def get_tokens_unprocessed(self, text): length = 0 for match in line_re.finditer(text): try: ttypestr, val = match.group().rstrip().split('\t', 1) ttype = _ttype_cache.get(ttypestr) if not ttype: ttype = Token ttypes = ttypestr.split('.')[1:] for ttype_ in ttypes: if not ttype_ or not ttype_[0].isupper(): raise ValueError('malformed token name') ttype = getattr(ttype, ttype_) _ttype_cache[ttypestr] = ttype val = ast.literal_eval(val) if not isinstance(val, str): raise ValueError('expected str') except (SyntaxError, ValueError): val = match.group() ttype = Error yield length, ttype, val length += len(val)