Python token.string方法代码示例

# 需要导入模块: import token [as 别名]
# 或者: from token import string [as 别名]
def __repr__(self):
        annotated_type = '%d (%s)' % (self.type, tok_name[self.type])
        return ('TokenInfo(type=%s, string=%r, start=%r, end=%r, line=%r)' %
                self._replace(type=annotated_type)) 

# 需要导入模块: import token [as 别名]
# 或者: from token import string [as 别名]
def exact_type(self):
        if self.type == OP and self.string in EXACT_TOKEN_TYPES:
            return EXACT_TOKEN_TYPES[self.string]
        else:
            return self.type 

# 需要导入模块: import token [as 别名]
# 或者: from token import string [as 别名]
def tokenize(readline):
    """
    The tokenize() generator requires one argment, readline, which
    must be a callable object which provides the same interface as the
    readline() method of built-in file objects.  Each call to the function
    should return one line of input as bytes.  Alternately, readline
    can be a callable function terminating with StopIteration:
        readline = open(myfile, 'rb').__next__  # Example of alternate readline

    The generator produces 5-tuples with these members: the token type; the
    token string; a 2-tuple (srow, scol) of ints specifying the row and
    column where the token begins in the source; a 2-tuple (erow, ecol) of
    ints specifying the row and column where the token ends in the source;
    and the line on which the token was found.  The line passed is the
    logical line; continuation lines are included.

    The first token sequence will always be an ENCODING token
    which tells you which encoding was used to decode the bytes stream.
    """
    # This import is here to avoid problems when the itertools module is not
    # built yet and tokenize is imported.
    from itertools import chain, repeat
    encoding, consumed = detect_encoding(readline)
    rl_gen = iter(readline, b"")
    empty = repeat(b"")
    return _tokenize(chain(consumed, rl_gen, empty).__next__, encoding) 

# 需要导入模块: import token [as 别名]
# 或者: from token import string [as 别名]
def _all_string_prefixes():
    # The valid string prefixes. Only contain the lower case versions,
    #  and don't contain any permuations (include 'fr', but not
    #  'rf'). The various permutations will be generated.
    _valid_string_prefixes = ['b', 'r', 'u', 'f', 'br', 'fr']
    # if we add binary f-strings, add: ['fb', 'fbr']
    result = set([''])
    for prefix in _valid_string_prefixes:
        for t in _itertools.permutations(prefix):
            # create a list with upper and lower versions of each
            #  character
            for u in _itertools.product(*[(c, c.upper()) for c in t]):
                result.add(''.join(u))
    return result 

# 需要导入模块: import token [as 别名]
# 或者: from token import string [as 别名]
def _compile(expr):
    return re.compile(expr, re.UNICODE)

# Note that since _all_string_prefixes includes the empty string,
#  StringPrefix can be the empty string (making it optional). 

# 需要导入模块: import token [as 别名]
# 或者: from token import string [as 别名]
def tokenize(readline):
    """
    The tokenize() generator requires one argument, readline, which
    must be a callable object which provides the same interface as the
    readline() method of built-in file objects.  Each call to the function
    should return one line of input as bytes.  Alternatively, readline
    can be a callable function terminating with StopIteration:
        readline = open(myfile, 'rb').__next__  # Example of alternate readline

    The generator produces 5-tuples with these members: the token type; the
    token string; a 2-tuple (srow, scol) of ints specifying the row and
    column where the token begins in the source; a 2-tuple (erow, ecol) of
    ints specifying the row and column where the token ends in the source;
    and the line on which the token was found.  The line passed is the
    logical line; continuation lines are included.

    The first token sequence will always be an ENCODING token
    which tells you which encoding was used to decode the bytes stream.
    """
    # This import is here to avoid problems when the itertools module is not
    # built yet and tokenize is imported.
    from itertools import chain, repeat
    encoding, consumed = detect_encoding(readline)
    rl_gen = iter(readline, b"")
    empty = repeat(b"")
    return _tokenize(chain(consumed, rl_gen, empty).__next__, encoding) 

# 需要导入模块: import token [as 别名]
# 或者: from token import string [as 别名]
def _all_string_prefixes():
    # The valid string prefixes. Only contain the lower case versions,
    #  and don't contain any permuations (include 'fr', but not
    #  'rf'). The various permutations will be generated.
    _valid_string_prefixes = ['b', 'r', 'u', 'f', 'br', 'fr']
    # if we add binary f-strings, add: ['fb', 'fbr']
    result = {''}
    for prefix in _valid_string_prefixes:
        for t in _itertools.permutations(prefix):
            # create a list with upper and lower versions of each
            #  character
            for u in _itertools.product(*[(c, c.upper()) for c in t]):
                result.add(''.join(u))
    return result