
from collections import OrderedDict
from typing import Mapping

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


__A				=logging.get_logger(__name__)

__A				={
    '''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     (      snake_case_						):
	lowerCAmelCase__         = 'distilbert'
	lowerCAmelCase__         = {
	    'hidden_size': 'dim',
	    'num_attention_heads': 'n_heads',
	    'num_hidden_layers': 'n_layers',
	}



	def __init__(    self						,  lowercase=30522						,  lowercase=512						,  lowercase=False						,  lowercase=6						,  lowercase=12						,  lowercase=768						,  lowercase=4 * 768						,  lowercase=0.1						,  lowercase=0.1						,  lowercase="gelu"						,  lowercase=0.0_2						,  lowercase=0.1						,  lowercase=0.2						,  lowercase=0						,  **lowercase						,  )				->       List[Any]:
					lowerCamelCase_						=			vocab_size
					lowerCamelCase_						=			max_position_embeddings
					lowerCamelCase_						=			sinusoidal_pos_embds
					lowerCamelCase_						=			n_layers
					lowerCamelCase_						=			n_heads
					lowerCamelCase_						=			dim
					lowerCamelCase_						=			hidden_dim
					lowerCamelCase_						=			dropout
					lowerCamelCase_						=			attention_dropout
					lowerCamelCase_						=			activation
					lowerCamelCase_						=			initializer_range
					lowerCamelCase_						=			qa_dropout
					lowerCamelCase_						=			seq_classif_dropout
					super().__init__(**lowercase						,  pad_token_id=lowercase )




class     _SCREAMING_SNAKE_CASE     (      snake_case_						):



	@property
	def     SCREAMING_SNAKE_CASE_(    self )				->       Mapping[str, Mapping[int, str]]:
					if self.task == "multiple-choice":
									lowerCamelCase_						=			{0: "batch", 1: "choice", 2: "sequence"}
					else:
									lowerCamelCase_						=			{0: "batch", 1: "sequence"}
					return OrderedDict(
					    [
					        ("input_ids", dynamic_axis),
					        ("attention_mask", dynamic_axis),
					    ] )








"""simple docstring"""






import math







def      _snake_case			(				lowercase__		):
				return math.sqrt(lowercase__		) * math.sqrt(lowercase__		) == num







def      _snake_case			(				lowercase__		):
				_lowerCamelCase     :			Optional[int]    =    0
				_lowerCamelCase     :			List[Any]    =    n
				while left <= right:
								_lowerCamelCase     :			str    =    (left + right) // 2
								if mid**2 == n:
												return True
								elif mid**2 > n:
												_lowerCamelCase     :			str    =    mid - 1
								else:
												_lowerCamelCase     :			Optional[int]    =    mid + 1
				return False


if __name__ == "__main__":
			import doctest

			doctest.testmod()