



from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


lowerCamelCase__			= logging.get_logger(__name__)

lowerCamelCase__			= {
    """camembert-base""": """https://huggingface.co/camembert-base/resolve/main/config.json""",
    """umberto-commoncrawl-cased-v1""": (
        """https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1/resolve/main/config.json"""
    ),
    """umberto-wikipedia-uncased-v1""": (
        """https://huggingface.co/Musixmatch/umberto-wikipedia-uncased-v1/resolve/main/config.json"""
    ),
}






class    SCREAMING_SNAKE_CASE			(							lowerCamelCase__					):
							__lowerCamelCase	:	Optional[Any]    ='camembert'





							def __init__(   self		:		Union[str, Any]      ,				__lowercase		:		List[str]=30522      ,				__lowercase		:		List[str]=768      ,				__lowercase		:		Union[str, Any]=12      ,				__lowercase		:		List[str]=12      ,				__lowercase		:		str=3072      ,				__lowercase		:		Optional[int]="gelu"      ,				__lowercase		:		List[Any]=0.1      ,				__lowercase		:		List[Any]=0.1      ,				__lowercase		:		List[str]=512      ,				__lowercase		:		Optional[Any]=2      ,				__lowercase		:		Tuple=0.02      ,				__lowercase		:		List[str]=1E-12      ,				__lowercase		:		int=1      ,				__lowercase		:		List[str]=0      ,				__lowercase		:		int=2      ,				__lowercase		:		str="absolute"      ,				__lowercase		:		Optional[Any]=True      ,				__lowercase		:		Any=None      ,				**__lowercase		:		Tuple      ,				):

											'''simple docstring'''
											super().__init__(pad_token_id=__lowercase      ,				bos_token_id=__lowercase      ,				eos_token_id=__lowercase      ,				**__lowercase	)

											__a       =		vocab_size
											__a       =		hidden_size
											__a       =		num_hidden_layers
											__a       =		num_attention_heads
											__a       =		hidden_act
											__a       =		intermediate_size
											__a       =		hidden_dropout_prob
											__a       =		attention_probs_dropout_prob
											__a       =		max_position_embeddings
											__a       =		type_vocab_size
											__a       =		initializer_range
											__a       =		layer_norm_eps
											__a       =		position_embedding_type
											__a       =		use_cache
											__a       =		classifier_dropout






class    SCREAMING_SNAKE_CASE			(							lowerCamelCase__					):





							@property
							def 						UpperCamelCase_					(   self		:		str	):

											'''simple docstring'''
											if self.task == "multiple-choice":
															__a       =		{0: """batch""", 1: """choice""", 2: """sequence"""}
											else:
															__a       =		{0: """batch""", 1: """sequence"""}
											return OrderedDict(
											    [
											        ("""input_ids""", dynamic_axis),
											        ("""attention_mask""", dynamic_axis),
											    ]	)





def   lowerCAmelCase__						(							_SCREAMING_SNAKE_CASE       :			int = 3				,     _SCREAMING_SNAKE_CASE       :			int = 7				,     _SCREAMING_SNAKE_CASE       :			int = 100_0000    ):
				"""simple docstring"""







				__a       =		0
				__a       =		1

				for current_denominator in range(1				,     limit + 1    ):
								__a       =		current_denominator * numerator // denominator
								if current_denominator % denominator == 0:
												current_numerator -= 1
								if current_numerator * max_denominator > current_denominator * max_numerator:
												__a       =		current_numerator
												__a       =		current_denominator
				return max_numerator


if __name__ == "__main__":
						print(solution(numerator=3, denominator=7, limit=100_0000))
