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codekingpro/portable-devtools

sourceHugging Faceupdated 5mo agoView on Hugging Face
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special.py123 linesDownload Raw Back to lexers
1"""2    pygments.lexers.special3    ~~~~~~~~~~~~~~~~~~~~~~~4 5    Special lexers.6 7    :copyright: Copyright 2006-present by the Pygments team, see AUTHORS.8    :license: BSD, see LICENSE for details.9"""10 11import ast12 13from pygments.lexer import Lexer, line_re14from pygments.token import Token, Error, Text, Generic15from pygments.util import get_choice_opt16 17 18__all__ = ['TextLexer', 'OutputLexer', 'RawTokenLexer']19 20 21class TextLexer(Lexer):22    """23    "Null" lexer, doesn't highlight anything.24    """25    name = 'Text only'26    aliases = ['text']27    filenames = ['*.txt']28    mimetypes = ['text/plain']29    url = ""30    version_added = ''31 32    priority = 0.0133 34    def get_tokens_unprocessed(self, text):35        yield 0, Text, text36 37    def analyse_text(text):38        return TextLexer.priority39 40 41class OutputLexer(Lexer):42    """43    Simple lexer that highlights everything as ``Token.Generic.Output``.44    """45    name = 'Text output'46    aliases = ['output']47    url = ""48    version_added = '2.10'49    _example = "output/output"50 51    def get_tokens_unprocessed(self, text):52        yield 0, Generic.Output, text53 54 55_ttype_cache = {}56 57 58class RawTokenLexer(Lexer):59    """60    Recreate a token stream formatted with the `RawTokenFormatter`.61 62    Additional options accepted:63 64    `compress`65        If set to ``"gz"`` or ``"bz2"``, decompress the token stream with66        the given compression algorithm before lexing (default: ``""``).67    """68    name = 'Raw token data'69    aliases = []70    filenames = []71    mimetypes = ['application/x-pygments-tokens']72    url = 'https://pygments.org/docs/formatters/#RawTokenFormatter'73    version_added = ''74 75    def __init__(self, **options):76        self.compress = get_choice_opt(options, 'compress',77                                       ['', 'none', 'gz', 'bz2'], '')78        Lexer.__init__(self, **options)79 80    def get_tokens(self, text):81        if self.compress:82            if isinstance(text, str):83                text = text.encode('latin1')84            try:85                if self.compress == 'gz':86                    import gzip87                    text = gzip.decompress(text)88                elif self.compress == 'bz2':89                    import bz290                    text = bz2.decompress(text)91            except OSError:92                yield Error, text.decode('latin1')93        if isinstance(text, bytes):94            text = text.decode('latin1')95 96        # do not call Lexer.get_tokens() because stripping is not optional.97        text = text.strip('\n') + '\n'98        for i, t, v in self.get_tokens_unprocessed(text):99            yield t, v100 101    def get_tokens_unprocessed(self, text):102        length = 0103        for match in line_re.finditer(text):104            try:105                ttypestr, val = match.group().rstrip().split('\t', 1)106                ttype = _ttype_cache.get(ttypestr)107                if not ttype:108                    ttype = Token109                    ttypes = ttypestr.split('.')[1:]110                    for ttype_ in ttypes:111                        if not ttype_ or not ttype_[0].isupper():112                            raise ValueError('malformed token name')113                        ttype = getattr(ttype, ttype_)114                    _ttype_cache[ttypestr] = ttype115                val = ast.literal_eval(val)116                if not isinstance(val, str):117                    raise ValueError('expected str')118            except (SyntaxError, ValueError):119                val = match.group()120                ttype = Error121            yield length, ttype, val122            length += len(val)123 
codekingpro/portable-devtools · Team Ai