def 			UpperCamelCase_							(      _UpperCAmelCase						:   str					)					->					int:


       """simple docstring"""







       _UpperCAmelCase  :						Optional[int]							   =					len(_UpperCamelCase					)
       _UpperCAmelCase  :						Optional[Any]							   =					[0] * length
       _UpperCAmelCase  :						List[Any]							   =					[[False for i in range(_UpperCamelCase					)] for j in range(_UpperCamelCase					)]
       for i, c in enumerate(_UpperCamelCase					):
              _UpperCAmelCase  :						Union[str, Any]							   =					i
              for j in range(i + 1					):
                     if c == string[j] and (i - j < 2 or is_palindromic[j + 1][i - 1]):
                            _UpperCAmelCase  :						Optional[int]							   =					True
                            _UpperCAmelCase  :						int							   =					min(_UpperCamelCase    ,			0 if j == 0 else (cut[j - 1] + 1)					)
              _UpperCAmelCase  :						str							   =					mincut
       return cut[length - 1]


if __name__ == "__main__":
  __SCREAMING_SNAKE_CASE :  List[str]  =						input("""Enter the string: """).strip()
  __SCREAMING_SNAKE_CASE :  List[str]  =						find_minimum_partitions(s)
  print(F'Minimum number of partitions required for the \'{s}\' is {ans}')


'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


__SCREAMING_SNAKE_CASE :  Union[str, Any]  =						{
    """configuration_gptsan_japanese""": ["""GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTSanJapaneseConfig"""],
    """tokenization_gptsan_japanese""": ["""GPTSanJapaneseTokenizer"""],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __SCREAMING_SNAKE_CASE :  Optional[int]  =						[
      """GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """GPTSanJapaneseForConditionalGeneration""",
      """GPTSanJapaneseModel""",
      """GPTSanJapanesePreTrainedModel""",
  ]
  __SCREAMING_SNAKE_CASE :  Union[str, Any]  =						[
      """GPTSanJapaneseTokenizer""",
  ]


if TYPE_CHECKING:
  from .configuration_gptsan_japanese import GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTSanJapaneseConfig
  from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_gptsan_japanese import (
        GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
        GPTSanJapaneseForConditionalGeneration,
        GPTSanJapaneseModel,
        GPTSanJapanesePreTrainedModel,
    )
    from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer


else:
  import sys

  __SCREAMING_SNAKE_CASE :  Union[str, Any]  =						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

