




from typing import Optional, Tuple

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


lowercase_			:       Optional[int]						       =				logging.get_logger(__name__)

lowercase_			:       Union[str, Any]						       =				{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

lowercase_			:       Optional[int]						       =				{
    '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_			:       List[str]						       =				{
    'openai-gpt': 5_12,
}






class 					__lowerCAmelCase				( a__				):
			snake_case_   :				Union[str, Any]				  =  VOCAB_FILES_NAMES
			snake_case_   :				int				  =  PRETRAINED_VOCAB_FILES_MAP
			snake_case_   :				Optional[int]				  =  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			snake_case_   :				Optional[int]				  =  ["input_ids", "attention_mask"]
			snake_case_   :				Tuple				  =  OpenAIGPTTokenizer







			def __init__( self					:    List[Any]					,					snake_case__					:    Optional[Any]=None					,					snake_case__					:    Optional[Any]=None					,					snake_case__					:    Tuple=None					,					snake_case__					:    List[str]="<unk>"					,					**snake_case__					:    str   ):




									"""simple docstring"""


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







			@property
			def UpperCamelCase    ( self					:    int   ):




									"""simple docstring"""


									return True







			def UpperCamelCase    ( self					:    int					,					snake_case__					:    Tuple					,					snake_case__					:    int = None   ):




									"""simple docstring"""


									_UpperCAmelCase									=  self._tokenizer.model.save(SCREAMING_SNAKE_CASE_					,					name=SCREAMING_SNAKE_CASE_   )
									return tuple(SCREAMING_SNAKE_CASE_   )








from math import exp


def 							__SCREAMING_SNAKE_CASE						(    snake_case_		):

						'''simple docstring'''


						return 8 * x - 2 * exp(-x		)


def 							__SCREAMING_SNAKE_CASE						(    snake_case_			,					snake_case_			,					snake_case_		):

						'''simple docstring'''


						_UpperCAmelCase									=  lower_bound
						_UpperCAmelCase									=  upper_bound
						for _ in range(0			,					snake_case_		):
												_UpperCAmelCase							,				_UpperCAmelCase									=  xa, xa - (f(snake_case_		) * (xa - xa)) / (f(snake_case_		) - f(snake_case_		))
						return xa


if __name__ == "__main__":
				print(f"""Example: {secant_method(1, 3, 2)}""")




