


"""simple docstring"""



def     __lowerCAmelCase		(		lowercase    :    str		,				lowercase    :    str					)      ->		bool:


    """simple docstring"""





    snake_case       : Union[str, Any]    =       len(lowercase					) + 1
    snake_case       : int    =       len(lowercase					) + 1

    # dp is a 2d matrix where dp[i][j] denotes whether prefix string of
    # length i of input_string matches with prefix string of length j of
    # given pattern.
    # "dp" stands for dynamic programming.
    snake_case       : Any    =       [[0 for i in range(lowercase					)] for j in range(lowercase					)]

    # since string of zero length match pattern of zero length
    snake_case       : List[Any]    =       1

    # since pattern of zero length will never match with string of non-zero length
    for i in range(1		,				lowercase					):
        snake_case       : List[Any]    =       0

    # since string of zero length will match with pattern where there
    # is at least one * alternatively
    for j in range(1		,				lowercase					):
        snake_case       : Union[str, Any]    =       dp[0][j - 2] if pattern[j - 1] == "*" else 0

    # now using bottom-up approach to find for all remaining lengths
    for i in range(1		,				lowercase					):
        for j in range(1		,				lowercase					):
            if input_string[i - 1] == pattern[j - 1] or pattern[j - 1] == ".":
                snake_case       : Optional[int]    =       dp[i - 1][j - 1]

            elif pattern[j - 1] == "*":
                if dp[i][j - 2] == 1:
                    snake_case       : Dict    =       1
                elif pattern[j - 2] in (input_string[i - 1], "."):
                    snake_case       : int    =       dp[i - 1][j]
                else:
                    snake_case       : int    =       0
            else:
                snake_case       : Optional[Any]    =       0

    return bool(dp[-1][-1]					)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  # inputing the strings
  # input_string = input("input a string :")
  # pattern = input("input a pattern :")

  __snake_case       =       """aab"""
  __snake_case       =       """c*a*b"""

  # using function to check whether given string matches the given pattern
  if match_pattern(input_string, pattern):
    print(F'''{input_string} matches the given pattern {pattern}''')
  else:
    print(F'''{input_string} does not match with the given pattern {pattern}''')









"""simple docstring"""



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__snake_case       =       {
    """configuration_time_series_transformer""": [
        """TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """TimeSeriesTransformerConfig""",
    ],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __snake_case       =       [
      """TIME_SERIES_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """TimeSeriesTransformerForPrediction""",
      """TimeSeriesTransformerModel""",
      """TimeSeriesTransformerPreTrainedModel""",
  ]


if TYPE_CHECKING:
  from .configuration_time_series_transformer import (
      TIME_SERIES_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
      TimeSeriesTransformerConfig,
  )

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_time_series_transformer import (
        TIME_SERIES_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        TimeSeriesTransformerForPrediction,
        TimeSeriesTransformerModel,
        TimeSeriesTransformerPreTrainedModel,
    )

else:
  import sys

  __snake_case       =       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





