code: 
  
  
  
  import copy
  from typing import Dict, Optional
  
  from ...configuration_utils import PretrainedConfig
  from ...utils import logging
  from ..auto import CONFIG_MAPPING
  
  
  __UpperCAmelCase      = logging.get_logger(__name__)
  
  __UpperCAmelCase      = {
      '''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_	(						a__							):
         UpperCAmelCase__       :      str       =						"oneformer"
         UpperCAmelCase__       :      Union[str, Any]       =						{"hidden_size": "hidden_dim"}
         def __init__(    self,    SCREAMING_SNAKE_CASE_ = None,    SCREAMING_SNAKE_CASE_ = 255,    SCREAMING_SNAKE_CASE_ = 150,    SCREAMING_SNAKE_CASE_ = 0.1,    SCREAMING_SNAKE_CASE_ = 2.0,    SCREAMING_SNAKE_CASE_ = 5.0,    SCREAMING_SNAKE_CASE_ = 5.0,    SCREAMING_SNAKE_CASE_ = 0.5,    SCREAMING_SNAKE_CASE_ = 0.07,    SCREAMING_SNAKE_CASE_ = 1_2544,    SCREAMING_SNAKE_CASE_ = 3.0,    SCREAMING_SNAKE_CASE_ = 0.75,    SCREAMING_SNAKE_CASE_ = 0.02,    SCREAMING_SNAKE_CASE_ = 1.0,    SCREAMING_SNAKE_CASE_ = 1e-05,    SCREAMING_SNAKE_CASE_ = False,    SCREAMING_SNAKE_CASE_ = True,    SCREAMING_SNAKE_CASE_ = True,    SCREAMING_SNAKE_CASE_ = [4, 8, 16, 32],    SCREAMING_SNAKE_CASE_ = 77,    SCREAMING_SNAKE_CASE_ = 256,    SCREAMING_SNAKE_CASE_ = 77,    SCREAMING_SNAKE_CASE_ = 6,    SCREAMING_SNAKE_CASE_ = 4_9408,    SCREAMING_SNAKE_CASE_ = 2,    SCREAMING_SNAKE_CASE_ = 16,    SCREAMING_SNAKE_CASE_ = 256,    SCREAMING_SNAKE_CASE_ = 256,    SCREAMING_SNAKE_CASE_ = 256,    SCREAMING_SNAKE_CASE_ = 1024,    SCREAMING_SNAKE_CASE_ = "GN",    SCREAMING_SNAKE_CASE_ = 6,    SCREAMING_SNAKE_CASE_ = 10,    SCREAMING_SNAKE_CASE_ = True,    SCREAMING_SNAKE_CASE_ = 8,    SCREAMING_SNAKE_CASE_ = 0.1,    SCREAMING_SNAKE_CASE_ = 2048,    SCREAMING_SNAKE_CASE_ = False,    SCREAMING_SNAKE_CASE_ = False,    SCREAMING_SNAKE_CASE_ = 2,    SCREAMING_SNAKE_CASE_ = 4,    **SCREAMING_SNAKE_CASE_,    )  ->	Optional[int]:
            if backbone_config is None:
               logger.info('`backbone_config` is unset. Initializing the config with the default `Swin` backbone.' )
               UpperCamelCase					:						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=SCREAMING_SNAKE_CASE_,    out_features=['stage1', 'stage2', 'stage3', 'stage4'],    )
            elif isinstance(SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_ ):
               UpperCamelCase					:						str					=			backbone_config.get('model_type' )
               UpperCamelCase					:						str					=			CONFIG_MAPPING[backbone_model_type]
               UpperCamelCase					:						List[str]					=			config_class.from_dict(SCREAMING_SNAKE_CASE_ )
  
            UpperCamelCase					:						Dict					=			backbone_config
  
            UpperCamelCase					:						List[Any]					=			ignore_value
            UpperCamelCase					:						List[str]					=			num_queries
            UpperCamelCase					:						Any					=			no_object_weight
            UpperCamelCase					:						Optional[int]					=			class_weight
            UpperCamelCase					:						Dict					=			mask_weight
            UpperCamelCase					:						Dict					=			dice_weight
            UpperCamelCase					:						List[str]					=			contrastive_weight
            UpperCamelCase					:						str					=			contrastive_temperature
            UpperCamelCase					:						List[str]					=			train_num_points
            UpperCamelCase					:						List[Any]					=			oversample_ratio
            UpperCamelCase					:						str					=			importance_sample_ratio
            UpperCamelCase					:						Union[str, Any]					=			init_std
            UpperCamelCase					:						Optional[Any]					=			init_xavier_std
            UpperCamelCase					:						Any					=			layer_norm_eps
            UpperCamelCase					:						Optional[int]					=			is_training
            UpperCamelCase					:						List[Any]					=			use_auxiliary_loss
            UpperCamelCase					:						List[str]					=			output_auxiliary_logits
            UpperCamelCase					:						List[str]					=			strides
            UpperCamelCase					:						List[Any]					=			task_seq_len
            UpperCamelCase					:						Optional[Any]					=			text_encoder_width
            UpperCamelCase					:						Optional[Any]					=			text_encoder_context_length
            UpperCamelCase					:						Optional[Any]					=			text_encoder_num_layers
            UpperCamelCase					:						Optional[Any]					=			text_encoder_vocab_size
            UpperCamelCase					:						List[str]					=			text_encoder_proj_layers
            UpperCamelCase					:						List[Any]					=			text_encoder_n_ctx
            UpperCamelCase					:						List[Any]					=			conv_dim
            UpperCamelCase					:						List[Any]					=			mask_dim
            UpperCamelCase					:						int					=			hidden_dim
            UpperCamelCase					:						Optional[Any]					=			encoder_feedforward_dim
            UpperCamelCase					:						Optional[int]					=			norm
            UpperCamelCase					:						Dict					=			encoder_layers
            UpperCamelCase					:						Tuple					=			decoder_layers
            UpperCamelCase					:						str					=			use_task_norm
            UpperCamelCase					:						Tuple					=			num_attention_heads
            UpperCamelCase					:						Any					=			dropout
            UpperCamelCase					:						Tuple					=			dim_feedforward
            UpperCamelCase					:						List[Any]					=			pre_norm
            UpperCamelCase					:						str					=			enforce_input_proj
            UpperCamelCase					:						str					=			query_dec_layers
            UpperCamelCase					:						Union[str, Any]					=			common_stride
            UpperCamelCase					:						Optional[int]					=			decoder_layers
  
            super().__init__(**SCREAMING_SNAKE_CASE_ )
  
  
  
  
  
  
         def       snake_case_ (    self )  ->	Dict[str, any]:
            UpperCamelCase					:						Tuple					=			copy.deepcopy(self.__dict__ )
            UpperCamelCase					:						Dict					=			self.backbone_config.to_dict()
            UpperCamelCase					:						List[str]					=			self.__class__.model_type
            return output
  
  
  
  
style_context: 
  
  
  
  from __future__ import annotations
  
  import random
  
  from matplotlib import animation
  from matplotlib import pyplot as plt
  
  # Frame rate of the animation
  __UpperCAmelCase      = 20
  
  # Time between time steps in seconds
  __UpperCAmelCase      = INTERVAL / 1_000
  
  
  
  class        lowerCAmelCase_	:
         def __init__(    self,    SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_ = 1.0,    SCREAMING_SNAKE_CASE_ = 1.0,    SCREAMING_SNAKE_CASE_ = "blue",    )  ->	None:
            UpperCamelCase					:						int					=			position_x
            UpperCamelCase					:						List[Any]					=			position_y
            UpperCamelCase					:						Tuple					=			velocity_x
            UpperCamelCase					:						Optional[Any]					=			velocity_y
            UpperCamelCase					:						Optional[Any]					=			mass
            UpperCamelCase					:						Union[str, Any]					=			size
            UpperCamelCase					:						Any					=			color
         @property
         def       snake_case_ (    self )  ->	tuple[float, float]:
            return self.position_x, self.position_y
         @property
         def       snake_case_ (    self )  ->	tuple[float, float]:
            return self.velocity_x, self.velocity_y
         def       snake_case_ (    self,    SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_ )  ->	None:
            self.velocity_x += force_x * delta_time
            self.velocity_y += force_y * delta_time
  
  
  
  
  
  
         def       snake_case_ (    self,    SCREAMING_SNAKE_CASE_ )  ->	None:
            self.position_x += self.velocity_x * delta_time
            self.position_y += self.velocity_y * delta_time
  
  
  
  
  
  
  class        lowerCAmelCase_	:
         def __init__(    self,    SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_ = 1.0,    SCREAMING_SNAKE_CASE_ = 1.0,    SCREAMING_SNAKE_CASE_ = 0.0,    )  ->	None:
            UpperCamelCase					:						Tuple					=			bodies
            UpperCamelCase					:						Tuple					=			gravitation_constant
            UpperCamelCase					:						Any					=			time_factor
            UpperCamelCase					:						Any					=			softening_factor
         def __len__(    self )  ->	int:
            return len(self.bodies )
  
  
  
  
  
  
         def       snake_case_ (    self,    SCREAMING_SNAKE_CASE_ )  ->	None:
            for bodya in self.bodies:
               UpperCamelCase					:						Optional[Any]					=			0.0
               UpperCamelCase					:						str					=			0.0
               for bodya in self.bodies:
                  if bodya != bodya:
                     UpperCamelCase					:						List[str]					=			bodya.position_x - bodya.position_x
                     UpperCamelCase					:						Union[str, Any]					=			bodya.position_y - bodya.position_y
  
                     # Calculation of the distance using Pythagoras's theorem
                     # Extra factor due to the softening technique
                     UpperCamelCase					:						Dict					=			(dif_x**2 + dif_y**2 + self.softening_factor) ** (
                         1 / 2
                     )
  
                     # Newton's law of universal gravitation.
                     force_x += (
                         self.gravitation_constant * bodya.mass * dif_x / distance**3
                     )
                     force_y += (
                         self.gravitation_constant * bodya.mass * dif_y / distance**3
                     )
  
              # Update the body's velocity once all the force components have been added
               bodya.update_velocity(SCREAMING_SNAKE_CASE_,    SCREAMING_SNAKE_CASE_,    delta_time * self.time_factor )
  
            # Update the positions only after all the velocities have been updated
            for body in self.bodies:
               body.update_position(delta_time * self.time_factor )
  
  
  
  
  
  
  def 	UpperCamelCase			(     snake_case__ :					BodySystem ,  snake_case__ :					float ,  snake_case__ :					list[plt.Circle]			)			->  None:
     body_system.update_system(snake_case__			)
  
     # Update the positions of the patches
     for patch, body in zip(snake_case__ ,  body_system.bodies			):
        UpperCamelCase					:						List[str]					=			(body.position_x, body.position_y)
  def 	UpperCamelCase			(     snake_case__ :					str ,  snake_case__ :					BodySystem ,  snake_case__ :					float = -1 ,  snake_case__ :					float = 1 ,  snake_case__ :					float = -1 ,  snake_case__ :					float = 1 ,  )			->  None:
     UpperCamelCase					:						Dict					=			plt.figure()
     fig.canvas.set_window_title(snake_case__			)
     UpperCamelCase					:						Any					=			plt.axes(
         xlim=(x_start, x_end) ,  ylim=(y_start, y_end)			)  # Set section to be plotted
     plt.gca().set_aspect('equal'			)  # Fix aspect ratio
  
     # Each body is drawn as a patch by the plt-function
     UpperCamelCase					:						List[Any]					=			[
         plt.Circle((body.position_x, body.position_y) ,  body.size ,  fc=body.color			)
         for body in body_system.bodies
     ]
  
     for patch in patches:
        ax.add_patch(snake_case__			)
  
     # Function called at each step of the animation
     def update(snake_case__ :					int			) -> list[plt.Circle]:
        update_step(snake_case__ ,  snake_case__ ,  snake_case__			)
        return patches
  
     UpperCamelCase					:						Dict					=			animation.FuncAnimation(  # noqa: F841
         snake_case__ ,  snake_case__ ,  interval=snake_case__ ,  blit=snake_case__			)
  
     plt.show()
  def 	UpperCamelCase			(     )			->  BodySystem:
     UpperCamelCase					:						str					=			0.9700436
     UpperCamelCase					:						Optional[Any]					=			-0.24308753
     UpperCamelCase					:						Optional[int]					=			0.466203685
     UpperCamelCase					:						int					=			0.43236573
  
     UpperCamelCase					:						int					=			[
         Body(snake_case__ ,  snake_case__ ,  snake_case__ ,  snake_case__ ,  size=0.2 ,  color='red'			),
         Body(-position_x ,  -position_y ,  snake_case__ ,  snake_case__ ,  size=0.2 ,  color='green'			),
         Body(0 ,  0 ,  -2 * velocity_x ,  -2 * velocity_y ,  size=0.2 ,  color='blue'			),
     ]
     return BodySystem(snake_case__ ,  time_factor=3			)
  def 	UpperCamelCase			(     )			->  BodySystem:
     UpperCamelCase					:						str					=			7.3_476E22
     UpperCamelCase					:						str					=			5.972E24
     UpperCamelCase					:						Union[str, Any]					=			1022
     UpperCamelCase					:						Optional[Any]					=			384399000
     UpperCamelCase					:						str					=			6.674E-11
  
     # Calculation of the respective velocities so that total impulse is zero,
     # i.e. the two bodies together don't move
     UpperCamelCase					:						int					=			earth_mass * velocity_dif / (earth_mass + moon_mass)
     UpperCamelCase					:						str					=			moon_velocity - velocity_dif
  
     UpperCamelCase					:						Optional[int]					=			Body(-earth_moon_distance ,  0 ,  0 ,  snake_case__ ,  snake_case__ ,  10000000 ,  'grey'			)
     UpperCamelCase					:						Dict					=			Body(0 ,  0 ,  0 ,  snake_case__ ,  snake_case__ ,  50000000 ,  'blue'			)
     return BodySystem([earth, moon] ,  snake_case__ ,  time_factor=1000000			)
  def 	UpperCamelCase			(     )			->  BodySystem:
     UpperCamelCase					:						int					=			[]
     for _ in range(10			):
        UpperCamelCase					:						Optional[int]					=			random.uniform(-0.5 ,  0.5			)
        UpperCamelCase					:						Union[str, Any]					=			random.uniform(-0.5 ,  0.5			)
  
        # Bodies are created pairwise with opposite velocities so that the
        # total impulse remains zero
        bodies.append(
            Body(
                random.uniform(-0.5 ,  0.5			) ,  random.uniform(-0.5 ,  0.5			) ,  snake_case__ ,  snake_case__ ,  size=0.05 ,  )			)
        bodies.append(
            Body(
                random.uniform(-0.5 ,  0.5			) ,  random.uniform(-0.5 ,  0.5			) ,  -velocity_x ,  -velocity_y ,  size=0.05 ,  )			)
     return BodySystem(snake_case__ ,  0.01 ,  10 ,  0.1			)
  
  
  if __name__ == "__main__":
      plot('''Figure-8 solution to the 3-body-problem''', example_a(), -2, 2, -2, 2)
      plot(
          '''Moon\'s orbit around the earth''',
          example_a(),
          -430_000_000,
          430_000_000,
          -430_000_000,
          430_000_000,
      )
      plot('''Random system with many bodies''', example_a(), -1.5, 1.5, -1.5, 1.5)
  
  
  
  