




import copy
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
from ..auto import CONFIG_MAPPING


A_		:     Dict        =     logging.get_logger(__name__)

A_		:     Any        =     {
    '''microsoft/conditional-detr-resnet-50''': (
        '''https://huggingface.co/microsoft/conditional-detr-resnet-50/resolve/main/config.json'''
    ),
}



class 		_lowercase		(       __SCREAMING_SNAKE_CASE	):
   _UpperCAmelCase     	=			'''conditional_detr'''
   _UpperCAmelCase     	=			['''past_key_values''']
   _UpperCAmelCase     	=			{
       '''hidden_size''': '''d_model''',
       '''num_attention_heads''': '''encoder_attention_heads''',
   }

   def __init__(      self			:       Union[str, Any]							,   __lowerCAmelCase			:       Any=True							,   __lowerCAmelCase			:       Tuple=None							,   __lowerCAmelCase			:       Union[str, Any]=3							,   __lowerCAmelCase			:       Dict=300							,   __lowerCAmelCase			:       Tuple=6							,   __lowerCAmelCase			:       Union[str, Any]=2048							,   __lowerCAmelCase			:       List[Any]=8							,   __lowerCAmelCase			:       List[str]=6							,   __lowerCAmelCase			:       int=2048							,   __lowerCAmelCase			:       Any=8							,   __lowerCAmelCase			:       Any=0.0							,   __lowerCAmelCase			:       Any=0.0							,   __lowerCAmelCase			:       List[str]=True							,   __lowerCAmelCase			:       Dict="relu"							,   __lowerCAmelCase			:       int=256							,   __lowerCAmelCase			:       Union[str, Any]=0.1							,   __lowerCAmelCase			:       Dict=0.0							,   __lowerCAmelCase			:       Tuple=0.0							,   __lowerCAmelCase			:       Any=0.0_2							,   __lowerCAmelCase			:       Union[str, Any]=1.0							,   __lowerCAmelCase			:       List[Any]=False							,   __lowerCAmelCase			:       Optional[Any]="sine"							,   __lowerCAmelCase			:       List[Any]="resnet50"							,   __lowerCAmelCase			:       str=True							,   __lowerCAmelCase			:       Optional[int]=False							,   __lowerCAmelCase			:       Optional[Any]=2							,   __lowerCAmelCase			:       Optional[Any]=5							,   __lowerCAmelCase			:       int=2							,   __lowerCAmelCase			:       int=1							,   __lowerCAmelCase			:       Dict=1							,   __lowerCAmelCase			:       Tuple=2							,   __lowerCAmelCase			:       Union[str, Any]=5							,   __lowerCAmelCase			:       Any=2							,   __lowerCAmelCase			:       Optional[Any]=0.2_5							,   **__lowerCAmelCase			:       List[Any]							,   )       ->				Tuple:


    """simple docstring"""






    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(__snake_case							,   __snake_case							):
      a						=		backbone_config.get("model_type"							)
      a						=		CONFIG_MAPPING[backbone_model_type]
      a						=		config_class.from_dict(__snake_case							)

    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						=		cls_loss_coefficient
    a						=		bbox_loss_coefficient
    a						=		giou_loss_coefficient
    a						=		focal_alpha
    super().__init__(is_encoder_decoder=__snake_case							,   **__snake_case							)

   @property
   def 		A							(      self			:       List[str]							)       ->				Optional[int]:


    """simple docstring"""






    return self.encoder_attention_heads

   @property
   def 		A							(      self			:       int							)       ->				Optional[int]:


    """simple docstring"""






    return self.d_model




   def 		A							(      self			:       List[Any]							)       ->				List[Any]:


    """simple docstring"""






    a						=		copy.deepcopy(self.__dict__							)
    if self.backbone_config is not None:
     a						=		self.backbone_config.to_dict()
    a						=		self.__class__.model_type
    return output



class 		_lowercase		(       __SCREAMING_SNAKE_CASE	):
   _UpperCAmelCase     	=			version.parse('''1.11'''	)

   @property
   def 		A							(      self			:       List[str]							)       ->				Tuple:


    """simple docstring"""






    return OrderedDict(
        [
            ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
            ("pixel_mask", {0: "batch"}),
        ]							)

   @property
   def 		A							(      self			:       Any							)       ->				Any:


    """simple docstring"""






    return 1E-5




   @property
   def 		A							(      self			:       Any							)       ->				Optional[int]:


    """simple docstring"""






    return 12






from __future__ import annotations

from collections.abc import Iterable, Iterator
from dataclasses import dataclass

A_		:     List[str]        =     (3, 9, -11, 0, 7, 5, 1, -1)
A_		:     Optional[int]        =     (4, 6, 2, 0, 8, 10, 3, -2)



@dataclass
class 		_lowercase		:
   _UpperCAmelCase     	=			42
   _UpperCAmelCase     	=			42



class 		_lowercase		:

   def __init__(      self			:       List[Any]							,   __lowerCAmelCase			:       Iterable[int]							)       ->				None:


    """simple docstring"""






    a						=		None
    for i in sorted(__lowerCAmelCase							,   reverse=__lowerCAmelCase							):
     a						=		Node(__lowerCAmelCase							,   self.head							)

   def __iter__(      self			:       Union[str, Any]							)       ->				Iterator[int]:


    """simple docstring"""






    a						=		self.head
    while node:
     yield node.data
     a						=		node.next_node

   def __len__(      self			:       Tuple							)       ->				int:


    """simple docstring"""






    return sum(1 for _ in self							)




   def __str__(      self			:       Union[str, Any]							)       ->				str:


    """simple docstring"""






    return " -> ".join([str(__lowerCAmelCase							) for node in self]							)


def 	UpperCAmelCase__      (      UpperCAmelCase__ :SortedLinkedList ,					UpperCAmelCase__ :SortedLinkedList					):






 '''simple docstring'''

 return SortedLinkedList(list(UpperCAmelCase__					) + list(UpperCAmelCase__					)					)


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     A_		:     Optional[Any]        =     SortedLinkedList
     print(merge_lists(SSL(test_data_odd), SSL(test_data_even)))

