






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   lowerCamelCase      (_snake_case			):







		'''simple docstring'''



		_snake_case    :    Optional[Any]       						=  '''distilbert'''
		_snake_case    :    Dict       						=  {
		    '''hidden_size''': '''dim''',
		    '''num_attention_heads''': '''n_heads''',
		    '''num_hidden_layers''': '''n_layers''',
		}



		def __init__(							self				,		_UpperCamelCase=3_0_5_2_2				,		_UpperCamelCase=5_1_2				,		_UpperCamelCase=False				,		_UpperCamelCase=6				,		_UpperCamelCase=1_2				,		_UpperCamelCase=7_6_8				,		_UpperCamelCase=4 * 7_6_8				,		_UpperCamelCase=0.1				,		_UpperCamelCase=0.1				,		_UpperCamelCase="gelu"				,		_UpperCamelCase=0.02				,		_UpperCamelCase=0.1				,		_UpperCamelCase=0.2				,		_UpperCamelCase=0				,		**_UpperCamelCase				,		)	->							Any:
							UpperCAmelCase_    :      Union[str, Any]            =						vocab_size
							UpperCAmelCase_    :      Optional[int]            =						max_position_embeddings
							UpperCAmelCase_    :      Tuple            =						sinusoidal_pos_embds
							UpperCAmelCase_    :      Tuple            =						n_layers
							UpperCAmelCase_    :      Optional[int]            =						n_heads
							UpperCAmelCase_    :      Optional[int]            =						dim
							UpperCAmelCase_    :      str            =						hidden_dim
							UpperCAmelCase_    :      Tuple            =						dropout
							UpperCAmelCase_    :      Optional[int]            =						attention_dropout
							UpperCAmelCase_    :      Optional[Any]            =						activation
							UpperCAmelCase_    :      int            =						initializer_range
							UpperCAmelCase_    :      Tuple            =						qa_dropout
							UpperCAmelCase_    :      List[str]            =						seq_classif_dropout
							super().__init__(**_UpperCamelCase				,		pad_token_id=_UpperCamelCase   )





class   lowerCamelCase      (_snake_case			):







		'''simple docstring'''



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














def      lowercase__      (     __snake_case    :							Dict  ):


					'''simple docstring'''


					if not head:
										return True
					# split the list to two parts
					UpperCAmelCase_       ,  UpperCAmelCase_    :      Any            =						head.next, head
					while fast and fast.next:
										UpperCAmelCase_    :      str            =						fast.next.next
										UpperCAmelCase_    :      Union[str, Any]            =						slow.next
					UpperCAmelCase_    :      int            =						slow.next
					UpperCAmelCase_    :      List[Any]            =						None  # Don't forget here! But forget still works!
					# reverse the second part
					UpperCAmelCase_    :      Tuple            =						None
					while second:
										UpperCAmelCase_    :      int            =						second.next
										UpperCAmelCase_    :      Any            =						node
										UpperCAmelCase_    :      Optional[Any]            =						second
										UpperCAmelCase_    :      Tuple            =						nxt
					# compare two parts
					# second part has the same or one less node
					while node:
										if node.val != head.val:
															return False
										UpperCAmelCase_    :      Optional[Any]            =						node.next
										UpperCAmelCase_    :      Dict            =						head.next
					return True




def      lowercase__      (     __snake_case    :							Union[str, Any]  ):


					'''simple docstring'''


					if not head or not head.next:
										return True

					# 1. Get the midpoint (slow)
					UpperCAmelCase_    :      Any            =						head
					while fast and fast.next:
										UpperCAmelCase_       ,  UpperCAmelCase_    :      Tuple            =						fast.next.next, slow.next

					# 2. Push the second half into the stack
					UpperCAmelCase_    :      List[str]            =						[slow.val]
					while slow.next:
										UpperCAmelCase_    :      List[str]            =						slow.next
										stack.append(slow.val  )

					# 3. Comparison
					while stack:
										if stack.pop() != cur.val:
															return False
										UpperCAmelCase_    :      int            =						cur.next

					return True






def      lowercase__      (     __snake_case    :							Dict  ):


					'''simple docstring'''


					if not head or not head.next:
										return True
					UpperCAmelCase_    :      Tuple            =						{}
					UpperCAmelCase_    :      int            =						0
					while head:
										if head.val in d:
															d[head.val].append(__snake_case  )
										else:
															UpperCAmelCase_    :      List[Any]            =						[pos]
										UpperCAmelCase_    :      Any            =						head.next
										pos += 1
					UpperCAmelCase_    :      Dict            =						pos - 1
					UpperCAmelCase_    :      Optional[int]            =						0
					for v in d.values():
										if len(__snake_case  ) % 2 != 0:
															middle += 1
										else:
															UpperCAmelCase_    :      int            =						0
															for i in range(0     ,       len(__snake_case  )  ):
																				if v[i] + v[len(__snake_case  ) - 1 - step] != checksum:
																									return False
																				step += 1
										if middle > 1:
															return False
					return True






