





"""simple docstring"""





from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


lowercase__				:Optional[int]				   =       logging.get_logger(__name__)

lowercase__				:List[Any]				   =       {
    'shi-labs/dinat-mini-in1k-224': 'https://huggingface.co/shi-labs/dinat-mini-in1k-224/resolve/main/config.json',
    # See all Dinat models at https://huggingface.co/models?filter=dinat
}




class 							snake_case							(			__UpperCAmelCase      ,  __UpperCAmelCase ):

						'''simple docstring'''



						_A     :       List[Any]         =       'dinat'

						_A     :       int         =       {
						    'num_attention_heads': 'num_heads',
						    'num_hidden_layers': 'num_layers',
						}

						def __init__(							self       :      str						,				__lowercase       :      Any=4						,				__lowercase       :      Tuple=3						,				__lowercase       :      str=64						,				__lowercase       :      Any=[3, 4, 6, 5]						,				__lowercase       :      Union[str, Any]=[2, 4, 8, 16]						,				__lowercase       :      int=7						,				__lowercase       :      Union[str, Any]=[[1, 8, 1], [1, 4, 1, 4], [1, 2, 1, 2, 1, 2], [1, 1, 1, 1, 1]]						,				__lowercase       :      Dict=3.0						,				__lowercase       :      Any=True						,				__lowercase       :      Optional[Any]=0.0						,				__lowercase       :      Tuple=0.0						,				__lowercase       :      Any=0.1						,				__lowercase       :      Tuple="gelu"						,				__lowercase       :      List[str]=0.0_2						,				__lowercase       :      int=1e-5						,				__lowercase       :      Any=0.0						,				__lowercase       :      List[str]=None						,				__lowercase       :      List[str]=None						,				**__lowercase       :      Any						,				):


								'''simple docstring'''




								super().__init__(**__lowercase )

								__UpperCAmelCase    :						Tuple       =						patch_size
								__UpperCAmelCase    :						Union[str, Any]       =						num_channels
								__UpperCAmelCase    :						Optional[Any]       =						embed_dim
								__UpperCAmelCase    :						str       =						depths
								__UpperCAmelCase    :						str       =						len(__lowercase )
								__UpperCAmelCase    :						List[Any]       =						num_heads
								__UpperCAmelCase    :						Optional[int]       =						kernel_size
								__UpperCAmelCase    :						Optional[Any]       =						dilations
								__UpperCAmelCase    :						List[str]       =						mlp_ratio
								__UpperCAmelCase    :						Any       =						qkv_bias
								__UpperCAmelCase    :						Optional[Any]       =						hidden_dropout_prob
								__UpperCAmelCase    :						Union[str, Any]       =						attention_probs_dropout_prob
								__UpperCAmelCase    :						Optional[Any]       =						drop_path_rate
								__UpperCAmelCase    :						List[Any]       =						hidden_act
								__UpperCAmelCase    :						List[Any]       =						layer_norm_eps
								__UpperCAmelCase    :						Optional[Any]       =						initializer_range
								# we set the hidden_size attribute in order to make Dinat work with VisionEncoderDecoderModel
								# this indicates the channel dimension after the last stage of the model
								__UpperCAmelCase    :						Tuple       =						int(embed_dim * 2 ** (len(__lowercase ) - 1) )
								__UpperCAmelCase    :						Union[str, Any]       =						layer_scale_init_value
								__UpperCAmelCase    :						Optional[int]       =						['''stem'''] + [f'''stage{idx}''' for idx in range(1						,				len(__lowercase ) + 1 )]
								__UpperCAmelCase    :						Any       =						get_aligned_output_features_output_indices(
								    out_features=__lowercase						,				out_indices=__lowercase						,				stage_names=self.stage_names )






"""simple docstring"""





from __future__ import annotations

from collections.abc import Callable
from typing import Any, Generic, TypeVar

lowercase__				:int				   =       TypeVar('T')




class 							snake_case							(			Generic[T] ):

      '''simple docstring'''



      def __init__(							self       :      Optional[Any]						,				__lowercase       :      list[T]						,				__lowercase       :      Callable[[T, T], T] ):


        '''simple docstring'''




        __UpperCAmelCase    :						Any | T       =						None

        __UpperCAmelCase    :						int       =						len(__lowercase )
        __UpperCAmelCase    :						list[T]       =						[any_type for _ in range(self.N )] + arr
        __UpperCAmelCase    :						List[Any]       =						fnc
        self.build()

      def       A_					(							self       :      str ):


        '''simple docstring'''




        for p in range(self.N - 1						,				0						,				-1 ):
          __UpperCAmelCase    :						Any       =						self.fn(self.st[p * 2]						,				self.st[p * 2 + 1] )

      def       A_					(							self       :      Union[str, Any]						,				__lowercase       :      int						,				__lowercase       :      T ):


        '''simple docstring'''




        p += self.N
        __UpperCAmelCase    :						Tuple       =						v
        while p > 1:
          __UpperCAmelCase    :						Union[str, Any]       =						p // 2
          __UpperCAmelCase    :						Any       =						self.fn(self.st[p * 2]						,				self.st[p * 2 + 1] )







      def       A_					(							self       :      str						,				__lowercase       :      int						,				__lowercase       :      int ):  # noqa: E741


        '''simple docstring'''




        __UpperCAmelCase       ,     __UpperCAmelCase    :						int       =						l + self.N, r + self.N

        __UpperCAmelCase    :						T | None       =						None
        while l <= r:
          if l % 2 == 1:
            __UpperCAmelCase    :						Any       =						self.st[l] if res is None else self.fn(__lowercase						,				self.st[l] )
          if r % 2 == 0:
            __UpperCAmelCase    :						Any       =						self.st[r] if res is None else self.fn(__lowercase						,				self.st[r] )
          __UpperCAmelCase       ,     __UpperCAmelCase    :						Any       =						(l + 1) // 2, (r - 1) // 2
        return res


if __name__ == "__main__":
  from functools import reduce

  lowercase__				:Any				   =       [1, 1_0, -2, 9, -3, 8, 4, -7, 5, 6, 1_1, -1_2]

  lowercase__				:List[Any]				   =       {
      0: 7,
      1: 2,
      2: 6,
      3: -1_4,
      4: 5,
      5: 4,
      6: 7,
      7: -1_0,
      8: 9,
      9: 1_0,
      1_0: 1_2,
      1_1: 1,
  }

  lowercase__				:List[str]				   =       SegmentTree(test_array, min)
  lowercase__				:List[str]				   =       SegmentTree(test_array, max)
  lowercase__				:Tuple				   =       SegmentTree(test_array, lambda a, b: a + b)


  def       lowerCamelCase_       (   )						->None:





    """simple docstring"""


    for i in range(len(UpperCAmelCase_  )  ):
      for j in range(UpperCAmelCase_  ,			len(UpperCAmelCase_  )  ):
        __UpperCAmelCase    :						Optional[Any]       =						reduce(UpperCAmelCase_  ,			test_array[i : j + 1]  )
        __UpperCAmelCase    :						Optional[int]       =						reduce(UpperCAmelCase_  ,			test_array[i : j + 1]  )
        __UpperCAmelCase    :						Union[str, Any]       =						reduce(lambda UpperCAmelCase_  ,			UpperCAmelCase_  : a + b  ,			test_array[i : j + 1]  )
        assert min_range == min_segment_tree.query(UpperCAmelCase_  ,			UpperCAmelCase_  )
        assert max_range == max_segment_tree.query(UpperCAmelCase_  ,			UpperCAmelCase_  )
        assert sum_range == sum_segment_tree.query(UpperCAmelCase_  ,			UpperCAmelCase_  )

  test_all_segments()

  for index, value in test_updates.items():
    lowercase__				:Optional[Any]				   =       value
    min_segment_tree.update(index, value)
    max_segment_tree.update(index, value)
    sum_segment_tree.update(index, value)
    test_all_segments()