


from collections import OrderedDict
from typing import Mapping

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


snake_case__  				=			logging.get_logger(__name__)

snake_case__  				=			{
    'squeezebert/squeezebert-uncased': (
        'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/config.json'
    ),
    'squeezebert/squeezebert-mnli': 'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/config.json',
    'squeezebert/squeezebert-mnli-headless': (
        'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/config.json'
    ),
}



class      snake_case__	(   _A	):
				__lowerCAmelCase		=   SQUEEZEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
				__lowerCAmelCase		=   '''squeezebert'''
				def __init__(	self  ,   _UpperCAmelCase=3_0522  ,   _UpperCAmelCase=768  ,   _UpperCAmelCase=12  ,   _UpperCAmelCase=12  ,   _UpperCAmelCase=3072  ,   _UpperCAmelCase="gelu"  ,   _UpperCAmelCase=0.1  ,   _UpperCAmelCase=0.1  ,   _UpperCAmelCase=512  ,   _UpperCAmelCase=2  ,   _UpperCAmelCase=0.02  ,   _UpperCAmelCase=1E-1_2  ,   _UpperCAmelCase=0  ,   _UpperCAmelCase=768  ,   _UpperCAmelCase=4  ,   _UpperCAmelCase=4  ,   _UpperCAmelCase=4  ,   _UpperCAmelCase=1  ,   _UpperCAmelCase=4  ,   _UpperCAmelCase=4  ,   **_UpperCAmelCase  ,   ):




										"""simple docstring"""




										super().__init__(pad_token_id=_UpperCAmelCase  ,   **_UpperCAmelCase   )

										__magic_name__					:				str				=   vocab_size
										__magic_name__					:				List[Any]				=   hidden_size
										__magic_name__					:				Tuple				=   num_hidden_layers
										__magic_name__					:				Any				=   num_attention_heads
										__magic_name__					:				Optional[int]				=   hidden_act
										__magic_name__					:				Tuple				=   intermediate_size
										__magic_name__					:				Union[str, Any]				=   hidden_dropout_prob
										__magic_name__					:				int				=   attention_probs_dropout_prob
										__magic_name__					:				str				=   max_position_embeddings
										__magic_name__					:				int				=   type_vocab_size
										__magic_name__					:				Union[str, Any]				=   initializer_range
										__magic_name__					:				List[Any]				=   layer_norm_eps
										__magic_name__					:				Union[str, Any]				=   embedding_size
										__magic_name__					:				Dict				=   q_groups
										__magic_name__					:				List[Any]				=   k_groups
										__magic_name__					:				Union[str, Any]				=   v_groups
										__magic_name__					:				List[Any]				=   post_attention_groups
										__magic_name__					:				Dict				=   intermediate_groups
										__magic_name__					:				Union[str, Any]				=   output_groups






class      snake_case__	(   _A	):
				@property
				def 			UpperCamelCase_    (	self   ):




										"""simple docstring"""




										if self.task == "multiple-choice":
																__magic_name__					:				Dict				=   {0: 'batch', 1: 'choice', 2: 'sequence'}
										else:
																__magic_name__					:				Union[str, Any]				=   {0: 'batch', 1: 'sequence'}
										return OrderedDict(
										    [
										        ('input_ids', dynamic_axis),
										        ('attention_mask', dynamic_axis),
										        ('token_type_ids', dynamic_axis),
										    ]   )






import math
def 			__SCREAMING_SNAKE_CASE							(					lowercase__	:int					)							->	list:
						if n <= 0:
												raise ValueError('Only positive integers have prime factors'					)
						__magic_name__					:				Union[str, Any]				=   []
						while n % 2 == 0:
												pf.append(2					)
												__magic_name__					:				Union[str, Any]				=   int(n / 2					)
						for i in range(3   ,    int(math.sqrt(lowercase__					)					) + 1   ,    2					):
												while n % i == 0:
																		pf.append(lowercase__					)
																		__magic_name__					:				List[str]				=   int(n / i					)
						if n > 2:
												pf.append(lowercase__					)
						return pf
def 			__SCREAMING_SNAKE_CASE							(					lowercase__	:int					)							->	int:
						if n <= 0:
												raise ValueError('Only positive numbers are accepted'					)
						__magic_name__					:				Union[str, Any]				=   1
						__magic_name__					:				Tuple				=   1
						while n % 2 == 0:
												temp += 1
												__magic_name__					:				Any				=   int(n / 2					)
						div *= temp
						for i in range(3   ,    int(math.sqrt(lowercase__					)					) + 1   ,    2					):
												__magic_name__					:				List[Any]				=   1
												while n % i == 0:
																		temp += 1
																		__magic_name__					:				Any				=   int(n / i					)
												div *= temp
						if n > 1:
												div *= 2
						return div
def 			__SCREAMING_SNAKE_CASE							(					lowercase__	:int					)							->	int:
						if n <= 0:
												raise ValueError('Only positive numbers are accepted'					)
						__magic_name__					:				int				=   1
						__magic_name__					:				List[str]				=   1
						while n % 2 == 0:
												temp += 1
												__magic_name__					:				List[Any]				=   int(n / 2					)
						if temp > 1:
												s *= (2**temp - 1) / (2 - 1)
						for i in range(3   ,    int(math.sqrt(lowercase__					)					) + 1   ,    2					):
												__magic_name__					:				int				=   1
												while n % i == 0:
																		temp += 1
																		__magic_name__					:				Optional[Any]				=   int(n / i					)
												if temp > 1:
																		s *= (i**temp - 1) / (i - 1)
						return int(lowercase__					)
def 			__SCREAMING_SNAKE_CASE							(					lowercase__	:int					)							->	int:
						__magic_name__					:				Dict				=   n
						for x in set(prime_factors(lowercase__					)					):
												s *= (x - 1) / x
						return int(lowercase__					)


if __name__ == "__main__":
			import doctest

			doctest.testmod()


