code: 
  """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 A_			(lowercase__   ):
  
  
  
  
    '''simple docstring'''
    SCREAMING_SNAKE_CASE__    :		int						  =	"""oneformer"""
    SCREAMING_SNAKE_CASE__    :		List[str]						  =	{"""hidden_size""": """hidden_dim"""}
  
  
  
  
  
  
  
    def __init__(	self       ,     lowercase_ = None       ,     lowercase_ = 255       ,     lowercase_ = 150       ,     lowercase_ = 0.1       ,     lowercase_ = 2.0       ,     lowercase_ = 5.0       ,     lowercase_ = 5.0       ,     lowercase_ = 0.5       ,     lowercase_ = 0.07       ,     lowercase_ = 1_2544       ,     lowercase_ = 3.0       ,     lowercase_ = 0.75       ,     lowercase_ = 0.02       ,     lowercase_ = 1.0       ,     lowercase_ = 1E-0_5       ,     lowercase_ = False       ,     lowercase_ = True       ,     lowercase_ = True       ,     lowercase_ = [4, 8, 16, 32]       ,     lowercase_ = 77       ,     lowercase_ = 256       ,     lowercase_ = 77       ,     lowercase_ = 6       ,     lowercase_ = 4_9408       ,     lowercase_ = 2       ,     lowercase_ = 16       ,     lowercase_ = 256       ,     lowercase_ = 256       ,     lowercase_ = 256       ,     lowercase_ = 1024       ,     lowercase_ = "GN"       ,     lowercase_ = 6       ,     lowercase_ = 10       ,     lowercase_ = True       ,     lowercase_ = 8       ,     lowercase_ = 0.1       ,     lowercase_ = 2048       ,     lowercase_ = False       ,     lowercase_ = False       ,     lowercase_ = 2       ,     lowercase_ = 4       ,     **lowercase_       ,     ):
       if backbone_config is None:
          logger.info("`backbone_config` is unset. Initializing the config with the default `Swin` backbone."						)
          UpperCAmelCase_      :      List[Any]      =					CONFIG_MAPPING["swin"](
              image_size=224       ,     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=lowercase_       ,     out_features=["stage1", "stage2", "stage3", "stage4"]       ,     )
       elif isinstance(lowercase_       ,     lowercase_						):
          UpperCAmelCase_      :      Tuple      =					backbone_config.get("model_type"						)
          UpperCAmelCase_      :      Any      =					CONFIG_MAPPING[backbone_model_type]
          UpperCAmelCase_      :      int      =					config_class.from_dict(lowercase_						)
  
       UpperCAmelCase_      :      Optional[Any]      =					backbone_config
  
       UpperCAmelCase_      :      Optional[int]      =					ignore_value
       UpperCAmelCase_      :      Any      =					num_queries
       UpperCAmelCase_      :      int      =					no_object_weight
       UpperCAmelCase_      :      Dict      =					class_weight
       UpperCAmelCase_      :      str      =					mask_weight
       UpperCAmelCase_      :      Union[str, Any]      =					dice_weight
       UpperCAmelCase_      :      int      =					contrastive_weight
       UpperCAmelCase_      :      Any      =					contrastive_temperature
       UpperCAmelCase_      :      int      =					train_num_points
       UpperCAmelCase_      :      Optional[Any]      =					oversample_ratio
       UpperCAmelCase_      :      List[Any]      =					importance_sample_ratio
       UpperCAmelCase_      :      Optional[int]      =					init_std
       UpperCAmelCase_      :      str      =					init_xavier_std
       UpperCAmelCase_      :      Optional[int]      =					layer_norm_eps
       UpperCAmelCase_      :      List[str]      =					is_training
       UpperCAmelCase_      :      List[str]      =					use_auxiliary_loss
       UpperCAmelCase_      :      Optional[int]      =					output_auxiliary_logits
       UpperCAmelCase_      :      int      =					strides
       UpperCAmelCase_      :      Union[str, Any]      =					task_seq_len
       UpperCAmelCase_      :      int      =					text_encoder_width
       UpperCAmelCase_      :      Any      =					text_encoder_context_length
       UpperCAmelCase_      :      Dict      =					text_encoder_num_layers
       UpperCAmelCase_      :      Dict      =					text_encoder_vocab_size
       UpperCAmelCase_      :      List[str]      =					text_encoder_proj_layers
       UpperCAmelCase_      :      Union[str, Any]      =					text_encoder_n_ctx
       UpperCAmelCase_      :      str      =					conv_dim
       UpperCAmelCase_      :      str      =					mask_dim
       UpperCAmelCase_      :      Tuple      =					hidden_dim
       UpperCAmelCase_      :      Optional[Any]      =					encoder_feedforward_dim
       UpperCAmelCase_      :      Tuple      =					norm
       UpperCAmelCase_      :      Union[str, Any]      =					encoder_layers
       UpperCAmelCase_      :      Tuple      =					decoder_layers
       UpperCAmelCase_      :      Tuple      =					use_task_norm
       UpperCAmelCase_      :      Optional[Any]      =					num_attention_heads
       UpperCAmelCase_      :      Union[str, Any]      =					dropout
       UpperCAmelCase_      :      List[Any]      =					dim_feedforward
       UpperCAmelCase_      :      Optional[Any]      =					pre_norm
       UpperCAmelCase_      :      int      =					enforce_input_proj
       UpperCAmelCase_      :      str      =					query_dec_layers
       UpperCAmelCase_      :      Optional[Any]      =					common_stride
       UpperCAmelCase_      :      int      =					decoder_layers
  
       super().__init__(**lowercase_						)
  
  
  
  
  
  
  
    def  UpperCamelCase__      (	self						):
       UpperCAmelCase_      :      Dict      =					copy.deepcopy(self.__dict__						)
       UpperCAmelCase_      :      Optional[Any]      =					self.backbone_config.to_dict()
       UpperCAmelCase_      :      Dict      =					self.__class__.model_type
       return output
  
  
  
style_context: 
  """simple docstring"""
  
  
  
  
  
  from hashlib import mda, shaaaa
  
  _a	 =							(shaaaa, mda)
  
  
  class A_			:
  
  
  
  
    '''simple docstring'''
  
  
  
  
  
  
  
    def __init__(	self       ,     lowercase_ = 8						):
  
       """simple docstring"""
       UpperCAmelCase_      :      List[str]      =					0B0
       UpperCAmelCase_      :      Union[str, Any]      =					size
  
  
  
  
  
  
  
    def  UpperCamelCase__      (	self       ,     lowercase_						):
  
       """simple docstring"""
       UpperCAmelCase_      :      Union[str, Any]      =					self.hash_(lowercase_						)
       self.bitarray |= h
  
  
  
  
  
  
  
    def  UpperCamelCase__      (	self       ,     lowercase_						):
  
       """simple docstring"""
       UpperCAmelCase_      :      Optional[int]      =					self.hash_(lowercase_						)
       return (h & self.bitarray) == h
  
  
  
  
  
  
  
    def __contains__(	self       ,     lowercase_						):
  
       """simple docstring"""
       return self.exists(lowercase_						)
  
  
  
  
  
  
  
    def  UpperCamelCase__      (	self       ,     lowercase_						):
  
       """simple docstring"""
       UpperCAmelCase_      :      str      =					bin(lowercase_						)[2:]
       return res.zfill(self.size						)
  
  
  
  
  
  
  
    @property
    def  UpperCamelCase__      (	self						):
  
       """simple docstring"""
       return self.format_bin(self.bitarray						)
  
  
  
  
  
  
  
    def  UpperCamelCase__      (	self       ,     lowercase_						):
  
       """simple docstring"""
       UpperCAmelCase_      :      List[str]      =					0B0
       for func in HASH_FUNCTIONS:
          UpperCAmelCase_      :      str      =					(
              int.from_bytes(func(value.encode()						).digest()       ,     "little"						) % self.size
          )
          res |= 2**position
       return res
  
  
  
  
  
  
  
    def  UpperCamelCase__      (	self       ,     lowercase_						):
  
       """simple docstring"""
       return self.format_bin(self.hash_(lowercase_						)						)
  
  
  
  
  
  
  
    @property
    def  UpperCamelCase__      (	self						):
  
       """simple docstring"""
       UpperCAmelCase_      :      Optional[Any]      =					bin(self.bitarray						).count("1"						)
       return (n_ones / self.size) ** len(lowercase_						)
  
  
  