





'''simple docstring'''




import copy

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


__SCREAMING_SNAKE_CASE     :List[Any]       =				logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE     :Dict       =				{
    '''ut/deta''': '''https://huggingface.co/ut/deta/resolve/main/config.json''',
}







class   A_	(  lowerCAmelCase_			):
 _lowerCamelCase  : str           =							"""deta"""
 _lowerCamelCase  : List[str]           =							{
     """hidden_size""": """d_model""",
     """num_attention_heads""": """encoder_attention_heads""",
 }




 def __init__(					self       :    Optional[Any]	,			snake_case_       :    Dict=None	,			snake_case_       :    int=9_0_0	,			snake_case_       :    Tuple=2_0_4_8	,			snake_case_       :    Union[str, Any]=6	,			snake_case_       :    Tuple=2_0_4_8	,			snake_case_       :    int=8	,			snake_case_       :    str=6	,			snake_case_       :    int=1_0_2_4	,			snake_case_       :    str=8	,			snake_case_       :    Tuple=0.0	,			snake_case_       :    int=True	,			snake_case_       :    str="relu"	,			snake_case_       :    Optional[int]=2_5_6	,			snake_case_       :    int=0.1	,			snake_case_       :    int=0.0	,			snake_case_       :    Dict=0.0	,			snake_case_       :    List[Any]=0.0_2	,			snake_case_       :    Optional[int]=1.0	,			snake_case_       :    Tuple=True	,			snake_case_       :    Dict=False	,			snake_case_       :    Any="sine"	,			snake_case_       :    int=5	,			snake_case_       :    Union[str, Any]=4	,			snake_case_       :    List[Any]=4	,			snake_case_       :    Optional[int]=True	,			snake_case_       :    Optional[Any]=3_0_0	,			snake_case_       :    str=True	,			snake_case_       :    Optional[Any]=True	,			snake_case_       :    Dict=1	,			snake_case_       :    Optional[int]=5	,			snake_case_       :    str=2	,			snake_case_       :    int=1	,			snake_case_       :    Union[str, Any]=1	,			snake_case_       :    Dict=5	,			snake_case_       :    Union[str, Any]=2	,			snake_case_       :    Optional[Any]=0.1	,			snake_case_       :    Optional[int]=0.2_5	,			**snake_case_       :    Optional[Any]	,			):
      if backbone_config is None:
           logger.info("`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone."    )
           _UpperCAmelCase     							=   CONFIG_MAPPING["resnet"](out_features=["stage2", "stage3", "stage4"]    )
      else:
           if isinstance(snake_case_	,			snake_case_    ):
                _UpperCAmelCase     							=   backbone_config.pop("model_type"    )
                _UpperCAmelCase     							=   CONFIG_MAPPING[backbone_model_type]
                _UpperCAmelCase     							=   config_class.from_dict(snake_case_    )

      _UpperCAmelCase     							=   backbone_config
      _UpperCAmelCase     							=   num_queries
      _UpperCAmelCase     							=   max_position_embeddings
      _UpperCAmelCase     							=   d_model
      _UpperCAmelCase     							=   encoder_ffn_dim
      _UpperCAmelCase     							=   encoder_layers
      _UpperCAmelCase     							=   encoder_attention_heads
      _UpperCAmelCase     							=   decoder_ffn_dim
      _UpperCAmelCase     							=   decoder_layers
      _UpperCAmelCase     							=   decoder_attention_heads
      _UpperCAmelCase     							=   dropout
      _UpperCAmelCase     							=   attention_dropout
      _UpperCAmelCase     							=   activation_dropout
      _UpperCAmelCase     							=   activation_function
      _UpperCAmelCase     							=   init_std
      _UpperCAmelCase     							=   init_xavier_std
      _UpperCAmelCase     							=   encoder_layerdrop
      _UpperCAmelCase     							=   auxiliary_loss
      _UpperCAmelCase     							=   position_embedding_type
      # deformable attributes
      _UpperCAmelCase     							=   num_feature_levels
      _UpperCAmelCase     							=   encoder_n_points
      _UpperCAmelCase     							=   decoder_n_points
      _UpperCAmelCase     							=   two_stage
      _UpperCAmelCase     							=   two_stage_num_proposals
      _UpperCAmelCase     							=   with_box_refine
      _UpperCAmelCase     							=   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
      _UpperCAmelCase     							=   class_cost
      _UpperCAmelCase     							=   bbox_cost
      _UpperCAmelCase     							=   giou_cost
      # Loss coefficients
      _UpperCAmelCase     							=   mask_loss_coefficient
      _UpperCAmelCase     							=   dice_loss_coefficient
      _UpperCAmelCase     							=   bbox_loss_coefficient
      _UpperCAmelCase     							=   giou_loss_coefficient
      _UpperCAmelCase     							=   eos_coefficient
      _UpperCAmelCase     							=   focal_alpha
      super().__init__(is_encoder_decoder=snake_case_	,			**snake_case_    )




 @property
 def      lowercase	(					self       :    List[Any]    ):
      return self.encoder_attention_heads




 @property
 def      lowercase	(					self       :    Dict    ):
      return self.d_model




 def      lowercase	(					self       :    List[Any]    ):
      _UpperCAmelCase     							=   copy.deepcopy(self.__dict__    )
      _UpperCAmelCase     							=   self.backbone_config.to_dict()
      _UpperCAmelCase     							=   self.__class__.model_type
      return output











'''simple docstring'''




from __future__ import annotations

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

__SCREAMING_SNAKE_CASE     :Optional[int]       =				TypeVar('''T''')







class   A_	(  Generic[T]			):




 def __init__(					self       :    List[Any]	,			snake_case_       :    list[T]	,			snake_case_       :    Callable[[T, T], T]    ):
      _UpperCAmelCase     							=   None

      _UpperCAmelCase     							=   len(snake_case_    )
      _UpperCAmelCase     							=   [any_type for _ in range(self.N    )] + arr
      _UpperCAmelCase     							=   fnc
      self.build()




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




 def      lowercase	(					self       :    Optional[Any]	,			snake_case_       :    int	,			snake_case_       :    T    ):
      p += self.N
      _UpperCAmelCase     							=   v
      while p > 1:
           _UpperCAmelCase     							=   p // 2
           _UpperCAmelCase     							=   self.fn(self.st[p * 2]	,			self.st[p * 2 + 1]    )




 def      lowercase	(					self       :    Any	,			snake_case_       :    int	,			snake_case_       :    int    ):  # noqa: E741
      _UpperCAmelCase							,  _UpperCAmelCase     							=   l + self.N, r + self.N

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


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

  __SCREAMING_SNAKE_CASE     :Union[str, Any]       =				[1, 10, -2, 9, -3, 8, 4, -7, 5, 6, 11, -12]

  __SCREAMING_SNAKE_CASE     :List[str]       =				{
      0: 7,
      1: 2,
      2: 6,
      3: -14,
      4: 5,
      5: 4,
      6: 7,
      7: -10,
      8: 9,
      9: 10,
      10: 12,
      11: 1,
  }

  __SCREAMING_SNAKE_CASE     :Any       =				SegmentTree(test_array, min)
  __SCREAMING_SNAKE_CASE     :Any       =				SegmentTree(test_array, max)
  __SCREAMING_SNAKE_CASE     :Any       =				SegmentTree(test_array, lambda a, b: a + b)
  def 	UpperCAmelCase_							(					)		->       None:


       '''simple docstring'''



       for i in range(len(__lowercase       )       ):
            for j in range(__lowercase			,     len(__lowercase       )       ):
                 _UpperCAmelCase     							=   reduce(__lowercase			,     test_array[i : j + 1]       )
                 _UpperCAmelCase     							=   reduce(__lowercase			,     test_array[i : j + 1]       )
                 _UpperCAmelCase     							=   reduce(lambda __lowercase			,     __lowercase       : a + b			,     test_array[i : j + 1]       )
                 assert min_range == min_segment_tree.query(__lowercase			,     __lowercase       )
                 assert max_range == max_segment_tree.query(__lowercase			,     __lowercase       )
                 assert sum_range == sum_segment_tree.query(__lowercase			,     __lowercase       )

  test_all_segments()

  for index, value in test_updates.items():
    __SCREAMING_SNAKE_CASE     :str       =				value
    min_segment_tree.update(index, value)
    max_segment_tree.update(index, value)
    sum_segment_tree.update(index, value)
    test_all_segments()




