


"""simple docstring"""






from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_openai import OpenAIGPTTokenizer


lowercase  		=			logging.get_logger(__name__)

lowercase  		=			{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

lowercase  		=			{
    """vocab_file""": {"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/vocab.json"""},
    """merges_file""": {"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/merges.txt"""},
    """tokenizer_file""": {"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/tokenizer.json"""},
}

lowercase  		=			{
    """openai-gpt""": 512,
}


class 			SCREAMING_SNAKE_CASE_  (   _lowercase):




							'''simple docstring'''





							__magic_name__					:     Any				  =  VOCAB_FILES_NAMES
							__magic_name__					:     List[str]				  =  PRETRAINED_VOCAB_FILES_MAP
							__magic_name__					:     List[Any]				  =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__magic_name__					:     Tuple				  =  ['''input_ids''', '''attention_mask''']
							__magic_name__					:     Optional[int]				  =  OpenAIGPTTokenizer




							def __init__(						self	,					lowerCamelCase__=None	,					lowerCamelCase__=None	,					lowerCamelCase__=None	,					lowerCamelCase__="<unk>"	,					**lowerCamelCase__)   ->	str:







								'''simple docstring'''




								super().__init__(lowerCamelCase__	,					lowerCamelCase__	,					tokenizer_file=lowerCamelCase__	,					unk_token=lowerCamelCase__	,					**lowerCamelCase__)




							@property
							def        UpperCAmelCase (						self)   ->	Tuple:







								'''simple docstring'''




								return True







							def        UpperCAmelCase (						self	,					lowerCamelCase__	,					lowerCamelCase__ = None)   ->	Tuple[str]:







								'''simple docstring'''




								snake_case__  :						Any		=      self._tokenizer.model.save(lowerCamelCase__	,					name=lowerCamelCase__)
								return tuple(lowerCamelCase__)









def 			__SCREAMING_SNAKE_CASE		(		UpperCamelCase		:      str	)     ->	int:



	"""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							     =       input('Enter the string: ').strip()
			_A							     =       find_minimum_partitions(s)
			print(f'Minimum number of partitions required for the \'{s}\' is {ans}')