

from ...configuration_utils import PretrainedConfig
from ...utils import logging


__a						:Union[str, Any]            = logging.get_logger(__name__)

__a						:Dict            = {
    "uw-madison/yoso-4096": "https://huggingface.co/uw-madison/yoso-4096/resolve/main/config.json",
    # See all YOSO models at https://huggingface.co/models?filter=yoso
}

class      _a				( SCREAMING_SNAKE_CASE__							):




      """simple docstring"""

      _lowerCamelCase					: Any					=					'yoso'





      def __init__(      self       :							str	, UpperCAmelCase       :							List[Any]=50265	, UpperCAmelCase       :							Optional[Any]=768	, UpperCAmelCase       :							str=12	, UpperCAmelCase       :							str=12	, UpperCAmelCase       :							List[Any]=3072	, UpperCAmelCase       :							List[Any]="gelu"	, UpperCAmelCase       :							List[Any]=0.1	, UpperCAmelCase       :							Optional[int]=0.1	, UpperCAmelCase       :							Optional[Any]=4096	, UpperCAmelCase       :							Optional[Any]=1	, UpperCAmelCase       :							List[Any]=0.02	, UpperCAmelCase       :							str=1E-12	, UpperCAmelCase       :							Dict="absolute"	, UpperCAmelCase       :							List[Any]=True	, UpperCAmelCase       :							str=9	, UpperCAmelCase       :							Dict=64	, UpperCAmelCase       :							Dict=None	, UpperCAmelCase       :							Optional[Any]=True	, UpperCAmelCase       :							Optional[int]=True	, UpperCAmelCase       :							Union[str, Any]=1	, UpperCAmelCase       :							Optional[Any]=0	, UpperCAmelCase       :							Dict=2	, **UpperCAmelCase       :							Optional[Any]	, ):
            super().__init__(pad_token_id=UpperCAmelCase	, bos_token_id=UpperCAmelCase	, eos_token_id=UpperCAmelCase	, **UpperCAmelCase  )

            A_	     =							vocab_size
            A_	     =							max_position_embeddings
            A_	     =							hidden_size
            A_	     =							num_hidden_layers
            A_	     =							num_attention_heads
            A_	     =							intermediate_size
            A_	     =							hidden_act
            A_	     =							hidden_dropout_prob
            A_	     =							attention_probs_dropout_prob
            A_	     =							initializer_range
            A_	     =							type_vocab_size
            A_	     =							layer_norm_eps
            A_	     =							position_embedding_type
            A_	     =							use_expectation
            A_	     =							hash_code_len
            A_	     =							num_hash
            A_	     =							conv_window
            A_	     =							use_fast_hash
            A_	     =							lsh_backward


def 			__snake_case	(   __UpperCamelCase  :   str						):



      """simple docstring"""

      A_	     =							len(__UpperCamelCase						)
      A_	     =							[0] * length
      A_	     =							[[False for i in range(__UpperCamelCase						)] for j in range(__UpperCamelCase						)]
      for i, c in enumerate(__UpperCamelCase						):
            A_	     =							i
            for j in range(i + 1						):
                  if c == string[j] and (i - j < 2 or is_palindromic[j + 1][i - 1]):
                        A_	     =							True
                        A_	     =							min(__UpperCamelCase							,0 if j == 0 else (cut[j - 1] + 1)						)
            A_	     =							mincut
      return cut[length - 1]


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