
from collections import OrderedDict
from typing import Mapping

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


_lowerCamelCase	:    Any          =      logging.get_logger(__name__)

_lowerCamelCase	:    int          =      {
    '''distilbert-base-uncased''': '''https://huggingface.co/distilbert-base-uncased/resolve/main/config.json''',
    '''distilbert-base-uncased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-cased''': '''https://huggingface.co/distilbert-base-cased/resolve/main/config.json''',
    '''distilbert-base-cased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-german-cased''': '''https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json''',
    '''distilbert-base-multilingual-cased''': (
        '''https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json'''
    ),
    '''distilbert-base-uncased-finetuned-sst-2-english''': (
        '''https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json'''
    ),
}




class        SCREAMING_SNAKE_CASE__					(     UpperCAmelCase ):





	'''simple docstring'''



	_UpperCAmelCase	:		int          = "distilbert"
	_UpperCAmelCase	:		Union[str, Any]          = {
	    "hidden_size": "dim",
	    "num_attention_heads": "n_heads",
	    "num_hidden_layers": "n_layers",
	}



	def __init__(  self     :   Union[str, Any]      ,  lowercase     :   Optional[int]=30_522      ,  lowercase     :   int=512      ,  lowercase     :   Any=False      ,  lowercase     :   str=6      ,  lowercase     :   List[str]=12      ,  lowercase     :   Union[str, Any]=768      ,  lowercase     :   Union[str, Any]=4 * 768      ,  lowercase     :   Dict=0.1      ,  lowercase     :   Tuple=0.1      ,  lowercase     :   Tuple="gelu"      ,  lowercase     :   int=0.02      ,  lowercase     :   Union[str, Any]=0.1      ,  lowercase     :   int=0.2      ,  lowercase     :   Dict=0      ,  **lowercase     :   str      ,  ):


				'''simple docstring'''


				_snake_case          =      vocab_size
				_snake_case          =      max_position_embeddings
				_snake_case          =      sinusoidal_pos_embds
				_snake_case          =      n_layers
				_snake_case          =      n_heads
				_snake_case          =      dim
				_snake_case          =      hidden_dim
				_snake_case          =      dropout
				_snake_case          =      attention_dropout
				_snake_case          =      activation
				_snake_case          =      initializer_range
				_snake_case          =      qa_dropout
				_snake_case          =      seq_classif_dropout
				super().__init__(**lowercase      ,  pad_token_id=lowercase     )




class        SCREAMING_SNAKE_CASE__					(     UpperCAmelCase ):





	'''simple docstring'''



	@property
	def 			A							(  self     :   Dict     ):


				'''simple docstring'''


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

from functools import lru_cache






@lru_cache
def 	a_		(	__lowercase       :     int			)			->  int:
			if num < 0:
						raise ValueError('Number should not be negative.'			)

			return 1 if num in (0, 1) else num * factorial(num - 1			)


if __name__ == "__main__":
			import doctest

			doctest.testmod()