


'''simple docstring'''






import copy

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


__A   :    List[str]											= logging.get_logger(__name__)

__A   :    List[str]											= {
    "ut/deta": "https://huggingface.co/ut/deta/resolve/main/config.json",
}






class   __snake_case			(  _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase  					=   'deta'
    lowercase  					=   {
        'hidden_size': 'd_model',
        'num_attention_heads': 'encoder_attention_heads',
    }

    def __init__(  self       :    Dict       ,		lowerCamelCase       :    str=None       ,		lowerCamelCase       :    int=9_00       ,		lowerCamelCase       :    Optional[Any]=20_48       ,		lowerCamelCase       :    str=6       ,		lowerCamelCase       :    str=20_48       ,		lowerCamelCase       :    int=8       ,		lowerCamelCase       :    Dict=6       ,		lowerCamelCase       :    Dict=10_24       ,		lowerCamelCase       :    Optional[int]=8       ,		lowerCamelCase       :    str=0.0       ,		lowerCamelCase       :    int=True       ,		lowerCamelCase       :    Dict="relu"       ,		lowerCamelCase       :    List[Any]=2_56       ,		lowerCamelCase       :    Optional[Any]=0.1       ,		lowerCamelCase       :    Dict=0.0       ,		lowerCamelCase       :    Optional[Any]=0.0       ,		lowerCamelCase       :    Tuple=0.02       ,		lowerCamelCase       :    Tuple=1.0       ,		lowerCamelCase       :    str=True       ,		lowerCamelCase       :    Dict=False       ,		lowerCamelCase       :    Optional[int]="sine"       ,		lowerCamelCase       :    List[Any]=5       ,		lowerCamelCase       :    Any=4       ,		lowerCamelCase       :    List[Any]=4       ,		lowerCamelCase       :    Optional[int]=True       ,		lowerCamelCase       :    Any=3_00       ,		lowerCamelCase       :    Optional[Any]=True       ,		lowerCamelCase       :    List[Any]=True       ,		lowerCamelCase       :    List[Any]=1       ,		lowerCamelCase       :    Dict=5       ,		lowerCamelCase       :    Any=2       ,		lowerCamelCase       :    Dict=1       ,		lowerCamelCase       :    List[str]=1       ,		lowerCamelCase       :    Tuple=5       ,		lowerCamelCase       :    List[str]=2       ,		lowerCamelCase       :    str=0.1       ,		lowerCamelCase       :    Optional[int]=0.25       ,		**lowerCamelCase       :    Tuple       ,		)  ->    Any:
      if backbone_config is None:
        logger.info("""`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."""						)
        lowerCAmelCase_     : Any     =  CONFIG_MAPPING["""resnet"""](out_features=["""stage2""", """stage3""", """stage4"""]						)
      else:
        if isinstance(lowerCamelCase       ,		lowerCamelCase						):
          lowerCAmelCase_     : Union[str, Any]     =  backbone_config.pop("""model_type"""						)
          lowerCAmelCase_     : Any     =  CONFIG_MAPPING[backbone_model_type]
          lowerCAmelCase_     : List[Any]     =  config_class.from_dict(lowerCamelCase						)

      lowerCAmelCase_     : int     =  backbone_config
      lowerCAmelCase_     : str     =  num_queries
      lowerCAmelCase_     : Any     =  max_position_embeddings
      lowerCAmelCase_     : int     =  d_model
      lowerCAmelCase_     : Optional[Any]     =  encoder_ffn_dim
      lowerCAmelCase_     : Optional[int]     =  encoder_layers
      lowerCAmelCase_     : Dict     =  encoder_attention_heads
      lowerCAmelCase_     : Optional[Any]     =  decoder_ffn_dim
      lowerCAmelCase_     : Tuple     =  decoder_layers
      lowerCAmelCase_     : Union[str, Any]     =  decoder_attention_heads
      lowerCAmelCase_     : str     =  dropout
      lowerCAmelCase_     : List[Any]     =  attention_dropout
      lowerCAmelCase_     : Union[str, Any]     =  activation_dropout
      lowerCAmelCase_     : Optional[Any]     =  activation_function
      lowerCAmelCase_     : Any     =  init_std
      lowerCAmelCase_     : List[Any]     =  init_xavier_std
      lowerCAmelCase_     : Dict     =  encoder_layerdrop
      lowerCAmelCase_     : Dict     =  auxiliary_loss
      lowerCAmelCase_     : Any     =  position_embedding_type
      # deformable attributes
      lowerCAmelCase_     : Union[str, Any]     =  num_feature_levels
      lowerCAmelCase_     : Union[str, Any]     =  encoder_n_points
      lowerCAmelCase_     : Dict     =  decoder_n_points
      lowerCAmelCase_     : List[str]     =  two_stage
      lowerCAmelCase_     : Union[str, Any]     =  two_stage_num_proposals
      lowerCAmelCase_     : Dict     =  with_box_refine
      lowerCAmelCase_     : Tuple     =  assign_first_stage
      if two_stage is True and with_box_refine is False:
        raise ValueError("""If two_stage is True, with_box_refine must be True."""						)
      # Hungarian matcher
      lowerCAmelCase_     : Any     =  class_cost
      lowerCAmelCase_     : int     =  bbox_cost
      lowerCAmelCase_     : Tuple     =  giou_cost
      # Loss coefficients
      lowerCAmelCase_     : Dict     =  mask_loss_coefficient
      lowerCAmelCase_     : Optional[Any]     =  dice_loss_coefficient
      lowerCAmelCase_     : List[str]     =  bbox_loss_coefficient
      lowerCAmelCase_     : List[Any]     =  giou_loss_coefficient
      lowerCAmelCase_     : Any     =  eos_coefficient
      lowerCAmelCase_     : int     =  focal_alpha
      super().__init__(is_encoder_decoder=lowerCamelCase       ,		**lowerCamelCase						)

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

    @property
    def __lowercase  (  self       :    List[Any]						)  ->    int:
      return self.d_model





    def __lowercase  (  self       :    Any						)  ->    Optional[Any]:
      lowerCAmelCase_     : Optional[int]     =  copy.deepcopy(self.__dict__						)
      lowerCAmelCase_     : List[str]     =  self.backbone_config.to_dict()
      lowerCAmelCase_     : List[Any]     =  self.__class__.model_type
      return output







'''simple docstring'''






from __future__ import annotations

# This is the precision for this function which can be altered.
# It is recommended for users to keep this number greater than or equal to 10.
__A   :    Tuple											= 10







def 							UpperCamelCase_     (       A__   :  int				,       A__   :  int				,       A__   :  list[int]				,       A__   :  int   ):
  '''simple docstring'''





  for i in range(A__				,       A__   ):
    if array[i] == target:
      return i
  return -1







def 							UpperCamelCase_     (       A__   :  list[int]				,       A__   :  int   ):
  '''simple docstring'''





  lowerCAmelCase_     : Optional[int]     =  0
  lowerCAmelCase_     : Union[str, Any]     =  len(A__   )
  while left <= right:
    if right - left < precision:
      return lin_search(A__				,       A__				,       A__				,       A__   )

    lowerCAmelCase_     : Dict     =  (left + right) // 3 + 1
    lowerCAmelCase_     : List[Any]     =  2 * (left + right) // 3 + 1

    if array[one_third] == target:
      return one_third
    elif array[two_third] == target:
      return two_third

    elif target < array[one_third]:
      lowerCAmelCase_     : List[str]     =  one_third - 1
    elif array[two_third] < target:
      lowerCAmelCase_     : Tuple     =  two_third + 1

    else:
      lowerCAmelCase_     : Tuple     =  one_third + 1
      lowerCAmelCase_     : Any     =  two_third - 1
  else:
    return -1







def 							UpperCamelCase_     (       A__   :  int				,       A__   :  int				,       A__   :  list[int]				,       A__   :  int   ):
  '''simple docstring'''





  if left < right:
    if right - left < precision:
      return lin_search(A__				,       A__				,       A__				,       A__   )
    lowerCAmelCase_     : Dict     =  (left + right) // 3 + 1
    lowerCAmelCase_     : Dict     =  2 * (left + right) // 3 + 1

    if array[one_third] == target:
      return one_third
    elif array[two_third] == target:
      return two_third

    elif target < array[one_third]:
      return rec_ternary_search(A__				,       one_third - 1				,       A__				,       A__   )
    elif array[two_third] < target:
      return rec_ternary_search(two_third + 1				,       A__				,       A__				,       A__   )
    else:
      return rec_ternary_search(one_third + 1				,       two_third - 1				,       A__				,       A__   )
  else:
    return -1


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  __A   :    List[Any]											= input("Enter numbers separated by comma:\n").strip()
  __A   :    Union[str, Any]											= [int(item.strip()) for item in user_input.split(",")]
  assert collection == sorted(collection), F"List must be ordered.\n{collection}."
  __A   :    List[Any]											= int(input("Enter the number to be found in the list:\n").strip())
  __A   :    str											= ite_ternary_search(collection, target)
  __A   :    Dict											= rec_ternary_search(0, len(collection) - 1, collection, target)
  if resulta != -1:
    print(F'''Iterative search: {target} found at positions: {resulta}''')
    print(F'''Recursive search: {target} found at positions: {resulta}''')
  else:
    print("Not found")



