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_           =				{
    '''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 			__magic_name__	(		_lowercase     ):





   """simple docstring"""




   lowerCAmelCase   :     str	      = '''distilbert'''
   lowerCAmelCase   :     List[str]	      = {
       '''hidden_size''': '''dim''',
       '''num_attention_heads''': '''n_heads''',
       '''num_hidden_layers''': '''n_layers''',
   }



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



    """simple docstring"""



    _UpperCamelCase:  Union[str, Any]    						=			vocab_size
    _UpperCamelCase:  Optional[int]    						=			max_position_embeddings
    _UpperCamelCase:  Union[str, Any]    						=			sinusoidal_pos_embds
    _UpperCamelCase:  Any    						=			n_layers
    _UpperCamelCase:  Optional[int]    						=			n_heads
    _UpperCamelCase:  Optional[Any]    						=			dim
    _UpperCamelCase:  int    						=			hidden_dim
    _UpperCamelCase:  List[Any]    						=			dropout
    _UpperCamelCase:  Tuple    						=			attention_dropout
    _UpperCamelCase:  List[str]    						=			activation
    _UpperCamelCase:  List[str]    						=			initializer_range
    _UpperCamelCase:  Union[str, Any]    						=			qa_dropout
    _UpperCamelCase:  Optional[Any]    						=			seq_classif_dropout
    super().__init__(**_snake_case		,	pad_token_id=_snake_case				)




class 			__magic_name__	(		_lowercase     ):





   """simple docstring"""




   @property
   def 	lowerCAmelCase    (						self       :	List[Any]				):



    """simple docstring"""



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

"""simple docstring"""





import operator
def 				A_  (__a					, __a = False					, __a = None					):

					'''simple docstring'''





					A_								=    operator.lt if reverse else operator.gt
					A_								=    solution or []

					if not arr:
										return solution

					A_								=    [arr.pop(0					)]
					for i, item in enumerate(__a					):
										if _operator(__a					, sublist[-1]					):
															sublist.append(__a					)
															arr.pop(__a					)

    #  merging sublist into solution list
					if not solution:
										solution.extend(__a					)
					else:
										while sublist:
															A_								=    sublist.pop(0					)
															for i, xx in enumerate(__a					):
																				if not _operator(__a					, __a					):
																									solution.insert(__a					, __a					)
																									break
															else:
																				solution.append(__a					)

					strand_sort(__a					, __a					, __a					)
					return solution


if __name__ == "__main__":
		assert strand_sort([4, 3, 5, 1, 2]) == [1, 2, 3, 4, 5]
		assert strand_sort([4, 3, 5, 1, 2], reverse=True) == [5, 4, 3, 2, 1]




