





def 			lowerCamelCase_		(					lowerCAmelCase:		Optional[int]			,							lowerCAmelCase:		Optional[int]			,							lowerCAmelCase:		int			,							lowerCAmelCase:		List[Any] )->						int:
  if start == end:
    return start if lst[start] > item else start + 1
  if start > end:
    return start

  _snake_case      : Any														=		(start + end) // 2
  if lst[mid] < item:
    return binary_search(lowerCAmelCase			,							lowerCAmelCase			,							mid + 1			,							lowerCAmelCase )
  elif lst[mid] > item:
    return binary_search(lowerCAmelCase			,							lowerCAmelCase			,							lowerCAmelCase			,							mid - 1 )
  else:
    return mid


def 			lowerCamelCase_		(					lowerCAmelCase:		Tuple )->						Tuple:
  _snake_case      : Optional[Any]														=		len(lowerCAmelCase )

  for index in range(1			,							lowerCAmelCase ):
    _snake_case      : int														=		lst[index]
    _snake_case      : Tuple														=		binary_search(lowerCAmelCase			,							lowerCAmelCase			,							0			,							index - 1 )
    _snake_case      : List[str]														=		lst[:pos] + [value] + lst[pos:index] + lst[index + 1 :]

  return lst


def 			lowerCamelCase_		(					lowerCAmelCase:		Union[str, Any]			,							lowerCAmelCase:		List[Any] )->						Optional[int]:
  if not left:
    return right

  if not right:
    return left

  if left[0] < right[0]:
    return [left[0], *merge(left[1:]			,							lowerCAmelCase )]

  return [right[0], *merge(lowerCAmelCase			,							right[1:] )]


def 			lowerCamelCase_		(					lowerCAmelCase:		Any )->						Dict:
  _snake_case      : Tuple														=		len(lowerCAmelCase )
  _snake_case							,    _snake_case      : int														=		[], []
  _snake_case      : Any														=		[lst[0]]
  _snake_case      : Optional[int]														=		[]
  _snake_case      : int														=		1
  while i < length:
    if lst[i] < lst[i - 1]:
      runs.append(lowerCAmelCase )
      _snake_case      : Any														=		[lst[i]]
    else:
      new_run.append(lst[i] )
    i += 1
  runs.append(lowerCAmelCase )

  for run in runs:
    sorted_runs.append(insertion_sort(lowerCAmelCase ) )
  for run in sorted_runs:
    _snake_case      : Optional[Any]														=		merge(lowerCAmelCase			,							lowerCAmelCase )

  return sorted_array


def 			lowerCamelCase_		(					)->						List[Any]:
  _snake_case      : Dict														=		[5, 9, 10, 3, -4, 5, 1_78, 92, 46, -18, 0, 7]
  _snake_case      : Optional[int]														=		tim_sort(lowerCAmelCase )
  print(lowerCAmelCase )


if __name__ == "__main__":
      main()











from collections import OrderedDict
from typing import Mapping

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


lowerCAmelCase_        =			logging.get_logger(__name__)

lowerCAmelCase_        =			{
    """google/mobilebert-uncased""": """https://huggingface.co/google/mobilebert-uncased/resolve/main/config.json"""
}



class 				_lowerCAmelCase			(	UpperCAmelCase_							):


  '''simple docstring'''
  a_							:				List[Any]					    =MOBILEBERT_PRETRAINED_CONFIG_ARCHIVE_MAP
  a_							:				Union[str, Any]					    ="""mobilebert"""







  def __init__(					self					:    int					, UpperCamelCase					:    int=3_05_22					, UpperCamelCase					:    Any=5_12					, UpperCamelCase					:    Any=24					, UpperCamelCase					:    List[str]=4					, UpperCamelCase					:    Any=5_12					, UpperCamelCase					:    str="relu"					, UpperCamelCase					:    Dict=0.0					, UpperCamelCase					:    int=0.1					, UpperCamelCase					:    Optional[Any]=5_12					, UpperCamelCase					:    str=2					, UpperCamelCase					:    Tuple=0.02					, UpperCamelCase					:    Union[str, Any]=1e-1_2					, UpperCamelCase					:    Optional[Any]=0					, UpperCamelCase					:    Union[str, Any]=1_28					, UpperCamelCase					:    Tuple=True					, UpperCamelCase					:    int=True					, UpperCamelCase					:    List[Any]=1_28					, UpperCamelCase					:    Dict=False					, UpperCamelCase					:    List[str]=True					, UpperCamelCase					:    Optional[Any]=4					, UpperCamelCase					:    int="no_norm"					, UpperCamelCase					:    Tuple=True					, UpperCamelCase					:    str=None					, **UpperCamelCase					:    str					, ):


    '''simple docstring'''





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

    _snake_case      : Union[str, Any]														=		vocab_size
    _snake_case      : Any														=		hidden_size
    _snake_case      : Tuple														=		num_hidden_layers
    _snake_case      : Any														=		num_attention_heads
    _snake_case      : Optional[Any]														=		hidden_act
    _snake_case      : List[Any]														=		intermediate_size
    _snake_case      : List[Any]														=		hidden_dropout_prob
    _snake_case      : Optional[int]														=		attention_probs_dropout_prob
    _snake_case      : int														=		max_position_embeddings
    _snake_case      : Optional[int]														=		type_vocab_size
    _snake_case      : Any														=		initializer_range
    _snake_case      : Optional[int]														=		layer_norm_eps
    _snake_case      : Tuple														=		embedding_size
    _snake_case      : int														=		trigram_input
    _snake_case      : Optional[int]														=		use_bottleneck
    _snake_case      : List[Any]														=		intra_bottleneck_size
    _snake_case      : Any														=		use_bottleneck_attention
    _snake_case      : str														=		key_query_shared_bottleneck
    _snake_case      : List[str]														=		num_feedforward_networks
    _snake_case      : int														=		normalization_type
    _snake_case      : str														=		classifier_activation

    if self.use_bottleneck:
      _snake_case      : Any														=		intra_bottleneck_size
    else:
      _snake_case      : Union[str, Any]														=		hidden_size

    _snake_case      : Dict														=		classifier_dropout




class 				_lowerCAmelCase			(	UpperCAmelCase_							):


  '''simple docstring'''







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


    '''simple docstring'''





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




