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119 lines
3.4 KiB
Python
119 lines
3.4 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 2006-2022 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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import re
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from pygments.lexer import Lexer
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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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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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.. versionadded:: 2.10
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"""
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name = 'Text output'
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aliases = ['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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line_re = re.compile('.*?\n')
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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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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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