


'''simple docstring'''






def 						_A					(lowerCAmelCase__	:Any					,    lowerCAmelCase__	:Optional[Any]					,    lowerCAmelCase__	:List[str]					,    lowerCAmelCase__	:str		) ->	Optional[int]:




     '''simple docstring'''



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

     _a         =				(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 						_A					(lowerCAmelCase__	:str		) ->	str:




     '''simple docstring'''



     _a         =				len(A_		)

     for index in range(1					,    A_		):
          _a         =				lst[index]
          _a         =				binary_search(A_					,    A_					,    0					,    index - 1		)
          _a         =				lst[:pos] + [value] + lst[pos:index] + lst[index + 1 :]

     return lst






def 						_A					(lowerCAmelCase__	:Any					,    lowerCAmelCase__	:str		) ->	Union[str, Any]:




     '''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 						_A					(lowerCAmelCase__	:Any		) ->	int:




     '''simple docstring'''



     _a         =				len(A_		)
     _a         =				[], []
     _a         =				[lst[0]]
     _a         =				[]
     _a         =				1
     while i < length:
          if lst[i] < lst[i - 1]:
               runs.append(A_		)
               _a         =				[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         =				merge(A_					,    A_		)

     return sorted_array






def 						_A					() ->	Optional[int]:




     '''simple docstring'''



     _a         =				[5, 9, 10, 3, -4, 5, 1_78, 92, 46, -18, 0, 7]
     _a         =				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




