






"""simple docstring"""


def      snake_case    (A_ :Any      ,     A_ :Optional[Any]      ,     A_ :List[str]      ,     A_ :str ):







  '''simple docstring'''

  if start == end:
    return start if lst[start] > item else start + 1
  if start > end:
    return start

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




def      snake_case    (A_ :str ):







  '''simple docstring'''

  a	:     Dict							=  len(A_ )

  for index in range(1      ,     A_ ):
    a	:     Union[str, Any]							=  lst[index]
    a	:     Dict							=  binary_search(A_      ,     A_      ,     0      ,     index - 1 )
    a	:     str							=  lst[:pos] + [value] + lst[pos:index] + lst[index + 1 :]

  return lst




def      snake_case    (A_ :Any      ,     A_ :str ):







  '''simple docstring'''

  if not left:
    return right

  if not right:
    return left

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

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




def      snake_case    (A_ :Any ):







  '''simple docstring'''

  a	:     List[str]							=  len(A_ )
  a,	a	:     List[str]							=  [], []
  a	:     List[str]							=  [lst[0]]
  a	:     List[Any]							=  []
  a	:     Optional[Any]							=  1
  while i < length:
    if lst[i] < lst[i - 1]:
      runs.append(A_ )
      a	:     Optional[Any]							=  [lst[i]]
    else:
      new_run.append(lst[i] )
    i += 1
  runs.append(A_ )

  for run in runs:
    sorted_runs.append(insertion_sort(A_ ) )
  for run in sorted_runs:
    a	:     List[Any]							=  merge(A_      ,     A_ )

  return sorted_array




def      snake_case    ():







  '''simple docstring'''

  a	:     str							=  [5, 9, 1_0, 3, -4, 5, 1_7_8, 9_2, 4_6, -1_8, 0, 7]
  a	:     Any							=  tim_sort(A_ )
  print(A_ )


if __name__ == "__main__":
   main()












"""simple docstring"""


from collections import OrderedDict
from typing import Mapping

from packaging import version

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


_UpperCamelCase							:       Optional[Any]       					=		logging.get_logger(__name__)

_UpperCamelCase							:       int       					=		{
    'apple/mobilevitv2-1.0': 'https://huggingface.co/apple/mobilevitv2-1.0/resolve/main/config.json',
}






class 		snake_case    (    UpperCAmelCase			):
    __magic_name__       	=	'''mobilevitv2'''





    def __init__(				self      :   Any							,						A      :   Any=3							,						A      :   Any=2_5_6							,						A      :   Optional[int]=2							,						A      :   str=2.0							,						A      :   Union[str, Any]="swish"							,						A      :   str=3							,						A      :   Tuple=3_2							,						A      :   Optional[int]=0.1							,						A      :   str=0.02							,						A      :   int=1E-5							,						A      :   List[Any]=5_1_2							,						A      :   str=[6, 1_2, 1_8]							,						A      :   Any=0.1							,						A      :   Union[str, Any]=2_5_5							,						A      :   Optional[Any]=[2, 4, 3]							,						A      :   List[Any]=[1_2_8, 1_9_2, 2_5_6]							,						A      :   Tuple=1.0							,						A      :   Union[str, Any]=2							,						A      :   List[Any]=0.0							,						A      :   int=0.0							,						**A      :   Optional[Any]							,						):


      '''simple docstring'''




      super().__init__(**A     )

      a	:     Optional[Any]							=  num_channels
      a	:     List[Any]							=  image_size
      a	:     Tuple							=  patch_size
      a	:     Optional[Any]							=  expand_ratio
      a	:     Any							=  hidden_act
      a	:     Dict							=  conv_kernel_size
      a	:     Optional[int]							=  output_stride
      a	:     Optional[Any]							=  initializer_range
      a	:     Tuple							=  layer_norm_eps
      a	:     Optional[int]							=  n_attn_blocks
      a	:     Tuple							=  base_attn_unit_dims
      a	:     List[str]							=  width_multiplier
      a	:     Dict							=  ffn_multiplier
      a	:     Dict							=  ffn_dropout
      a	:     Optional[int]							=  attn_dropout
      a	:     Tuple							=  classifier_dropout_prob

      # decode head attributes for semantic segmentation
      a	:     str							=  aspp_out_channels
      a	:     List[Any]							=  atrous_rates
      a	:     Optional[int]							=  aspp_dropout_prob
      a	:     Optional[Any]							=  semantic_loss_ignore_index






class 		snake_case    (    UpperCAmelCase			):
    __magic_name__       	=	version.parse('''1.11'''			)





    @property
    def 							lowerCamelCase__ (				self      :   List[str]     ):


      '''simple docstring'''




      return OrderedDict([('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'})]     )





    @property
    def 							lowerCamelCase__ (				self      :   int     ):


      '''simple docstring'''




      if self.task == "image-classification":
        return OrderedDict([('logits', {0: 'batch'})]     )
      else:
        return OrderedDict([('last_hidden_state', {0: 'batch'}), ('pooler_output', {0: 'batch'})]     )





    @property
    def 							lowerCamelCase__ (				self      :   Union[str, Any]     ):


      '''simple docstring'''




      return 1E-4




