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"""
pygments.lexers.special
~~~~~~~~~~~~~~~~~~~~~~~
Special lexers.
:copyright: Copyright 2006-2021 by the Pygments team, see AUTHORS.
:license: BSD, see LICENSE for details.
"""
import ast
import re
from pygments.lexer import Lexer
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 = {}
line_re = re.compile('.*?\n')
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)
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