
"""simple docstring"""


import copy
from typing import Dict, Optional

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


__A       						=       logging.get_logger(__name__)

__A       						=       {
    'shi-labs/oneformer_ade20k_swin_tiny': (
        'https://huggingface.co/shi-labs/oneformer_ade20k_swin_tiny/blob/main/config.json'
    ),
    # See all OneFormer models at https://huggingface.co/models?filter=oneformer
}







class 		lowerCamelCase__					(					__magic_name__				):





			'''simple docstring'''
			lowerCamelCase  					=		'''oneformer'''
			lowerCamelCase  					=		{'''hidden_size''': '''hidden_dim'''}



			def __init__(							self     ,     __UpperCAmelCase = None     ,     __UpperCAmelCase = 2_55     ,     __UpperCAmelCase = 1_50     ,     __UpperCAmelCase = 0.1     ,     __UpperCAmelCase = 2.0     ,     __UpperCAmelCase = 5.0     ,     __UpperCAmelCase = 5.0     ,     __UpperCAmelCase = 0.5     ,     __UpperCAmelCase = 0.0_7     ,     __UpperCAmelCase = 1_25_44     ,     __UpperCAmelCase = 3.0     ,     __UpperCAmelCase = 0.7_5     ,     __UpperCAmelCase = 0.0_2     ,     __UpperCAmelCase = 1.0     ,     __UpperCAmelCase = 1e-05     ,     __UpperCAmelCase = False     ,     __UpperCAmelCase = True     ,     __UpperCAmelCase = True     ,     __UpperCAmelCase = [4, 8, 16, 32]     ,     __UpperCAmelCase = 77     ,     __UpperCAmelCase = 2_56     ,     __UpperCAmelCase = 77     ,     __UpperCAmelCase = 6     ,     __UpperCAmelCase = 4_94_08     ,     __UpperCAmelCase = 2     ,     __UpperCAmelCase = 16     ,     __UpperCAmelCase = 2_56     ,     __UpperCAmelCase = 2_56     ,     __UpperCAmelCase = 2_56     ,     __UpperCAmelCase = 10_24     ,     __UpperCAmelCase = "GN"     ,     __UpperCAmelCase = 6     ,     __UpperCAmelCase = 10     ,     __UpperCAmelCase = True     ,     __UpperCAmelCase = 8     ,     __UpperCAmelCase = 0.1     ,     __UpperCAmelCase = 20_48     ,     __UpperCAmelCase = False     ,     __UpperCAmelCase = False     ,     __UpperCAmelCase = 2     ,     __UpperCAmelCase = 4     ,     **__UpperCAmelCase     ,     ) ->     Tuple:
				if backbone_config is None:
					logger.info("""`backbone_config` is unset. Initializing the config with the default `Swin` backbone."""  )
					_lowerCAmelCase								=CONFIG_MAPPING["""swin"""](
					    image_size=2_24     ,     in_channels=3     ,     patch_size=4     ,     embed_dim=96     ,     depths=[2, 2, 6, 2]     ,     num_heads=[3, 6, 12, 24]     ,     window_size=7     ,     drop_path_rate=0.3     ,     use_absolute_embeddings=__UpperCAmelCase     ,     out_features=["""stage1""", """stage2""", """stage3""", """stage4"""]     ,     )
				elif isinstance(__UpperCAmelCase     ,     __UpperCAmelCase  ):
					_lowerCAmelCase								=backbone_config.get("""model_type"""  )
					_lowerCAmelCase								=CONFIG_MAPPING[backbone_model_type]
					_lowerCAmelCase								=config_class.from_dict(__UpperCAmelCase  )

				_lowerCAmelCase								=backbone_config

				_lowerCAmelCase								=ignore_value
				_lowerCAmelCase								=num_queries
				_lowerCAmelCase								=no_object_weight
				_lowerCAmelCase								=class_weight
				_lowerCAmelCase								=mask_weight
				_lowerCAmelCase								=dice_weight
				_lowerCAmelCase								=contrastive_weight
				_lowerCAmelCase								=contrastive_temperature
				_lowerCAmelCase								=train_num_points
				_lowerCAmelCase								=oversample_ratio
				_lowerCAmelCase								=importance_sample_ratio
				_lowerCAmelCase								=init_std
				_lowerCAmelCase								=init_xavier_std
				_lowerCAmelCase								=layer_norm_eps
				_lowerCAmelCase								=is_training
				_lowerCAmelCase								=use_auxiliary_loss
				_lowerCAmelCase								=output_auxiliary_logits
				_lowerCAmelCase								=strides
				_lowerCAmelCase								=task_seq_len
				_lowerCAmelCase								=text_encoder_width
				_lowerCAmelCase								=text_encoder_context_length
				_lowerCAmelCase								=text_encoder_num_layers
				_lowerCAmelCase								=text_encoder_vocab_size
				_lowerCAmelCase								=text_encoder_proj_layers
				_lowerCAmelCase								=text_encoder_n_ctx
				_lowerCAmelCase								=conv_dim
				_lowerCAmelCase								=mask_dim
				_lowerCAmelCase								=hidden_dim
				_lowerCAmelCase								=encoder_feedforward_dim
				_lowerCAmelCase								=norm
				_lowerCAmelCase								=encoder_layers
				_lowerCAmelCase								=decoder_layers
				_lowerCAmelCase								=use_task_norm
				_lowerCAmelCase								=num_attention_heads
				_lowerCAmelCase								=dropout
				_lowerCAmelCase								=dim_feedforward
				_lowerCAmelCase								=pre_norm
				_lowerCAmelCase								=enforce_input_proj
				_lowerCAmelCase								=query_dec_layers
				_lowerCAmelCase								=common_stride
				_lowerCAmelCase								=decoder_layers

				super().__init__(**__UpperCAmelCase  )



			def 					_lowerCAmelCase		(							self  ) ->     Dict[str, any]:
				_lowerCAmelCase								=copy.deepcopy(self.__dict__  )
				_lowerCAmelCase								=self.backbone_config.to_dict()
				_lowerCAmelCase								=self.__class__.model_type
				return output











"""simple docstring"""







from __future__ import annotations

from typing import Generic, TypeVar

_UpperCamelCase     			=  TypeVar("""T""")







class 					lowerCamelCase__					(       Generic[T] ):






    def __init__( self	,A					):
          UpperCAmelCase							=       data  # Assign data
          UpperCAmelCase							=       None  # Initialize next as null
          UpperCAmelCase							=       None  # Initialize prev as null







class 					lowerCamelCase__					(       Generic[T] ):






    def __init__( self					):
          UpperCAmelCase							=       None






    def 				_UpperCamelCase							( self	,A					):
          if self.head is None:
                UpperCAmelCase							=       Node(A					)
          else:
                UpperCAmelCase							=       Node(A					)
                UpperCAmelCase							=       new_node
                UpperCAmelCase							=       self.head
                UpperCAmelCase							=       None
                UpperCAmelCase							=       new_node






    def 				_UpperCamelCase							( self					):
          if self.head is None:
                return None
          else:
                assert self.head is not None
                UpperCAmelCase							=       self.head.data
                UpperCAmelCase							=       self.head.next
                if self.head is not None:
                      UpperCAmelCase							=       None
                return temp






    def 				_UpperCamelCase							( self					):
          return self.head.data if self.head is not None else None






    def __len__( self					):
          UpperCAmelCase							=       self.head
          UpperCAmelCase							=       0
          while temp is not None:
                count += 1
                UpperCAmelCase							=       temp.next
          return count






    def 				_UpperCamelCase							( self					):
          return self.head is None






    def 				_UpperCamelCase							( self					):
          print("""stack elements are:"""					)
          UpperCAmelCase							=       self.head
          while temp is not None:
                print(temp.data	,end="""->"""					)
                UpperCAmelCase							=       temp.next


# Code execution starts here
if __name__ == "__main__":
  # Start with the empty stack
  _UpperCamelCase     			=  Stack()

  # Insert 4 at the beginning. So stack becomes 4->None
  print("""Stack operations using Doubly LinkedList""")
  stack.push(4)

  # Insert 5 at the beginning. So stack becomes 4->5->None
  stack.push(5)

  # Insert 6 at the beginning. So stack becomes 4->5->6->None
  stack.push(6)

  # Insert 7 at the beginning. So stack becomes 4->5->6->7->None
  stack.push(7)

  # Print the stack
  stack.print_stack()

  # Print the top element
  print("""\nTop element is """, stack.top())

  # Print the stack size
  print("""Size of the stack is """, len(stack))

  # pop the top element
  stack.pop()

  # pop the top element
  stack.pop()

  # two elements have now been popped off
  stack.print_stack()

  # Print True if the stack is empty else False
  print("""\nstack is empty:""", stack.is_empty())



