

"""simple docstring"""


import copy
from collections import OrderedDict
from typing import Dict, Mapping

from packaging import version

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


UpperCAmelCase													=logging.get_logger(__name__)

UpperCAmelCase													={
    "facebook/detr-resnet-50": "https://huggingface.co/facebook/detr-resnet-50/resolve/main/config.json",
    # See all DETR models at https://huggingface.co/models?filter=detr
}





class lowerCamelCase__   (				SCREAMING_SNAKE_CASE    ):



    '''simple docstring'''




    _lowerCamelCase					=   '''detr'''
    _lowerCamelCase					=   ['''past_key_values''']
    _lowerCamelCase					=   {
        '''hidden_size''': '''d_model''',
        '''num_attention_heads''': '''encoder_attention_heads''',
    }




    def __init__( self ,lowerCamelCase_=True ,lowerCamelCase_=None ,lowerCamelCase_=3 ,lowerCamelCase_=1_0_0 ,lowerCamelCase_=6 ,lowerCamelCase_=2_0_4_8 ,lowerCamelCase_=8 ,lowerCamelCase_=6 ,lowerCamelCase_=2_0_4_8 ,lowerCamelCase_=8 ,lowerCamelCase_=0.0 ,lowerCamelCase_=0.0 ,lowerCamelCase_=True ,lowerCamelCase_="relu" ,lowerCamelCase_=2_5_6 ,lowerCamelCase_=0.1 ,lowerCamelCase_=0.0 ,lowerCamelCase_=0.0 ,lowerCamelCase_=0.02 ,lowerCamelCase_=1.0 ,lowerCamelCase_=False ,lowerCamelCase_="sine" ,lowerCamelCase_="resnet50" ,lowerCamelCase_=True ,lowerCamelCase_=False ,lowerCamelCase_=1 ,lowerCamelCase_=5 ,lowerCamelCase_=2 ,lowerCamelCase_=1 ,lowerCamelCase_=1 ,lowerCamelCase_=5 ,lowerCamelCase_=2 ,lowerCamelCase_=0.1 ,**lowerCamelCase_ ,)    ->      Dict:
          if backbone_config is not None and use_timm_backbone:
                raise ValueError("""You can't specify both `backbone_config` and `use_timm_backbone`."""    )

          if not use_timm_backbone:
                if backbone_config is None:
                      logger.info("""`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."""    )
                      A				  =		CONFIG_MAPPING["""resnet"""](out_features=["""stage4"""]    )
                elif isinstance(lowerCamelCase_ ,lowerCamelCase_    ):
                      A				  =		backbone_config.get("""model_type"""    )
                      A				  =		CONFIG_MAPPING[backbone_model_type]
                      A				  =		config_class.from_dict(lowerCamelCase_    )
                # set timm attributes to None
                A  ,			A  ,			A				  =		None, None, None

          A				  =		use_timm_backbone
          A				  =		backbone_config
          A				  =		num_channels
          A				  =		num_queries
          A				  =		d_model
          A				  =		encoder_ffn_dim
          A				  =		encoder_layers
          A				  =		encoder_attention_heads
          A				  =		decoder_ffn_dim
          A				  =		decoder_layers
          A				  =		decoder_attention_heads
          A				  =		dropout
          A				  =		attention_dropout
          A				  =		activation_dropout
          A				  =		activation_function
          A				  =		init_std
          A				  =		init_xavier_std
          A				  =		encoder_layerdrop
          A				  =		decoder_layerdrop
          A				  =		encoder_layers
          A				  =		auxiliary_loss
          A				  =		position_embedding_type
          A				  =		backbone
          A				  =		use_pretrained_backbone
          A				  =		dilation
          # Hungarian matcher
          A				  =		class_cost
          A				  =		bbox_cost
          A				  =		giou_cost
          # Loss coefficients
          A				  =		mask_loss_coefficient
          A				  =		dice_loss_coefficient
          A				  =		bbox_loss_coefficient
          A				  =		giou_loss_coefficient
          A				  =		eos_coefficient
          super().__init__(is_encoder_decoder=lowerCamelCase_ ,**lowerCamelCase_    )




    @property
    def UpperCamelCase__		( self    )    ->      int:
          return self.encoder_attention_heads




    @property
    def UpperCamelCase__		( self    )    ->      int:
          return self.d_model




    @classmethod
    def UpperCamelCase__		( cls ,lowerCamelCase_ ,**lowerCamelCase_    )    ->      Union[str, Any]:
          return cls(backbone_config=lowerCamelCase_ ,**lowerCamelCase_    )




    def UpperCamelCase__		( self    )    ->      Dict[str, any]:
          A				  =		copy.deepcopy(self.__dict__    )
          if output["backbone_config"] is not None:
                A				  =		self.backbone_config.to_dict()
          A				  =		self.__class__.model_type
          return output





class lowerCamelCase__   (				SCREAMING_SNAKE_CASE    ):



    '''simple docstring'''




    _lowerCamelCase					=   version.parse('''1.11'''    )




    @property
    def UpperCamelCase__		( self    )    ->      Mapping[str, Mapping[int, str]]:
          return OrderedDict(
              [
                  ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
                  ("""pixel_mask""", {0: """batch"""}),
              ]    )




    @property
    def UpperCamelCase__		( self    )    ->      float:
          return 1E-5




    @property
    def UpperCamelCase__		( self    )    ->      int:
          return 1_2







"""simple docstring"""


def   _A					(	_a	:						Optional[int]     ,   _a	:						str				):



      """simple docstring"""






      A				  =		0
      A				  =		len(_a				) - 1

      while left <= right:
            # avoid divided by 0 during interpolation
            if sorted_collection[left] == sorted_collection[right]:
                  if sorted_collection[left] == item:
                        return left
                  else:
                        return None

            A				  =		left + ((item - sorted_collection[left]) * (right - left)) // (
                sorted_collection[right] - sorted_collection[left]
            )

            # out of range check
            if point < 0 or point >= len(_a				):
                  return None

            A				  =		sorted_collection[point]
            if current_item == item:
                  return point
            else:
                  if point < left:
                        A				  =		left
                        A				  =		point
                  elif point > right:
                        A				  =		right
                        A				  =		point
                  else:
                        if item < current_item:
                              A				  =		point - 1
                        else:
                              A				  =		point + 1
      return None



def   _A					(	_a	:						Any     ,   _a	:						List[str]     ,   _a	:						Dict     ,   _a	:						List[str]				):



      """simple docstring"""






      if sorted_collection[left] == sorted_collection[right]:
            if sorted_collection[left] == item:
                  return left
            else:
                  return None

      A				  =		left + ((item - sorted_collection[left]) * (right - left)) // (
          sorted_collection[right] - sorted_collection[left]
      )

      # out of range check
      if point < 0 or point >= len(_a				):
            return None

      if sorted_collection[point] == item:
            return point
      elif point < left:
            return interpolation_search_by_recursion(_a     ,   _a     ,   _a     ,   _a				)
      elif point > right:
            return interpolation_search_by_recursion(_a     ,   _a     ,   _a     ,   _a				)
      else:
            if sorted_collection[point] > item:
                  return interpolation_search_by_recursion(
                      _a     ,   _a     ,   _a     ,   point - 1				)
            else:
                  return interpolation_search_by_recursion(
                      _a     ,   _a     ,   point + 1     ,   _a				)



def   _A					(	_a	:						List[Any]				):



      """simple docstring"""






      if collection != sorted(_a				):
            raise ValueError("""Collection must be ascending sorted"""				)
      return True


if __name__ == "__main__":
  import sys
  UpperCAmelCase													=0
  if debug == 1:
    UpperCAmelCase													=[10, 30, 40, 45, 50, 66, 77, 93]
    try:
      __assert_sorted(collection)
    except ValueError:
      sys.exit("Sequence must be ascending sorted to apply interpolation search")
    UpperCAmelCase													=67

  UpperCAmelCase													=interpolation_search(collection, target)
  if result is not None:
    print(f"""{target} found at positions: {result}""")
  else:
    print("Not found")




