



"""simple docstring"""






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


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

_lowercase					:					int 		=		{
    "bert-base-uncased": "https://huggingface.co/bert-base-uncased/resolve/main/config.json",
    # QDQBERT models can be loaded from any BERT checkpoint, available at https://huggingface.co/models?filter=bert
}

class 			__SCREAMING_SNAKE_CASE      ( lowerCAmelCase_  ):


					'''simple docstring'''





					_a       =				'qdqbert'



					def __init__(			self				:    Optional[int],    lowerCamelCase				:    Tuple=3_0522,    lowerCamelCase				:    str=768,    lowerCamelCase				:    List[str]=12,    lowerCamelCase				:    int=12,    lowerCamelCase				:    Optional[int]=3072,    lowerCamelCase				:    List[Any]="gelu",    lowerCamelCase				:    Dict=0.1,    lowerCamelCase				:    Union[str, Any]=0.1,    lowerCamelCase				:    str=512,    lowerCamelCase				:    str=2,    lowerCamelCase				:    List[Any]=0.02,    lowerCamelCase				:    Optional[Any]=1E-12,    lowerCamelCase				:    List[Any]=True,    lowerCamelCase				:    str=1,    lowerCamelCase				:    Any=0,    lowerCamelCase				:    List[str]=2,    **lowerCamelCase				:    List[Any],    )->   List[str]:
								super().__init__(pad_token_id=lowerCamelCase,    bos_token_id=lowerCamelCase,    eos_token_id=lowerCamelCase,    **lowerCamelCase	)

								lowerCamelCase__						:						Tuple						      =vocab_size
								lowerCamelCase__						:						Any						      =max_position_embeddings
								lowerCamelCase__						:						Dict						      =hidden_size
								lowerCamelCase__						:						Union[str, Any]						      =num_hidden_layers
								lowerCamelCase__						:						int						      =num_attention_heads
								lowerCamelCase__						:						Optional[Any]						      =intermediate_size
								lowerCamelCase__						:						Optional[int]						      =hidden_act
								lowerCamelCase__						:						List[str]						      =hidden_dropout_prob
								lowerCamelCase__						:						List[str]						      =attention_probs_dropout_prob
								lowerCamelCase__						:						Optional[int]						      =initializer_range
								lowerCamelCase__						:						Union[str, Any]						      =type_vocab_size
								lowerCamelCase__						:						Union[str, Any]						      =layer_norm_eps
								lowerCamelCase__						:						Union[str, Any]						      =use_cache





def  UpperCAmelCase__(    lowerCamelCase_	):



			"""simple docstring"""





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


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

