

'''simple docstring'''





from collections import OrderedDict
from typing import Mapping

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


UpperCamelCase_							=					logging.get_logger(__name__)

UpperCamelCase_							=					{
    """google/bigbird-roberta-base""": """https://huggingface.co/google/bigbird-roberta-base/resolve/main/config.json""",
    """google/bigbird-roberta-large""": """https://huggingface.co/google/bigbird-roberta-large/resolve/main/config.json""",
    """google/bigbird-base-trivia-itc""": """https://huggingface.co/google/bigbird-base-trivia-itc/resolve/main/config.json""",
    # See all BigBird models at https://huggingface.co/models?filter=big_bird
}





class 		__SCREAMING_SNAKE_CASE       ( lowercase__			):
				lowerCamelCase_							=						'big_bird'







				def __init__(					self    :		Union[str, Any]		,				UpperCAmelCase__    :		Dict=50358		,				UpperCAmelCase__    :		str=768		,				UpperCAmelCase__    :		List[Any]=12		,				UpperCAmelCase__    :		Dict=12		,				UpperCAmelCase__    :		str=3072		,				UpperCAmelCase__    :		Dict="gelu_new"		,				UpperCAmelCase__    :		Union[str, Any]=0.1		,				UpperCAmelCase__    :		Dict=0.1		,				UpperCAmelCase__    :		Union[str, Any]=4096		,				UpperCAmelCase__    :		Any=2		,				UpperCAmelCase__    :		Union[str, Any]=0.02		,				UpperCAmelCase__    :		Any=1E-12		,				UpperCAmelCase__    :		List[str]=True		,				UpperCAmelCase__    :		List[Any]=0		,				UpperCAmelCase__    :		Tuple=1		,				UpperCAmelCase__    :		str=2		,				UpperCAmelCase__    :		Optional[Any]=66		,				UpperCAmelCase__    :		str="block_sparse"		,				UpperCAmelCase__    :		Optional[Any]=True		,				UpperCAmelCase__    :		List[Any]=False		,				UpperCAmelCase__    :		Tuple=64		,				UpperCAmelCase__    :		Tuple=3		,				UpperCAmelCase__    :		Tuple=None		,				**UpperCAmelCase__    :		Dict		,				):
										'''simple docstring'''
										super().__init__(
										    pad_token_id=UpperCAmelCase__		,				bos_token_id=UpperCAmelCase__		,				eos_token_id=UpperCAmelCase__		,				sep_token_id=UpperCAmelCase__		,				**UpperCAmelCase__		,				)

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

										lowercase   :       Dict								=rescale_embeddings
										lowercase   :       List[Any]								=attention_type
										lowercase   :       Optional[int]								=use_bias
										lowercase   :       str								=block_size
										lowercase   :       Dict								=num_random_blocks
										lowercase   :       List[Any]								=classifier_dropout





class 		__SCREAMING_SNAKE_CASE       ( lowercase__			):







				@property
				def    lowerCamelCase_  (					self    :		str      ):
										'''simple docstring'''
										if self.task == "multiple-choice":
																lowercase   :       str								={0: '''batch''', 1: '''choice''', 2: '''sequence'''}
										else:
																lowercase   :       List[Any]								={0: '''batch''', 1: '''sequence'''}
										return OrderedDict(
										    [
										        ('''input_ids''', dynamic_axis),
										        ('''attention_mask''', dynamic_axis),
										    ]      )








'''simple docstring'''





def 							_lowerCAmelCase (      __magic_name__	:    int = 1000000	)							->     int:
						lowercase   :       Dict								=set(range(3      ,   __magic_name__      ,   2	)	)
						primes.add(2	)
						for p in range(3      ,   __magic_name__      ,   2	):
												if p not in primes:
																		continue
												primes.difference_update(set(range(p * p      ,   __magic_name__      ,   __magic_name__	)	)	)

						lowercase   :       List[Any]								=[float(__magic_name__	) for n in range(limit + 1	)]

						for p in primes:
												for n in range(__magic_name__      ,   limit + 1      ,   __magic_name__	):
																		phi[n] *= 1 - 1 / p

						return int(sum(phi[2:]	)	)


if __name__ == "__main__":
							print(f'''{solution() = }''')





