






'''simple docstring'''





import copy
from typing import Dict, Optional

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


__A				:				Optional[Any]					=		logging.get_logger(__name__)

__A				:				str					=		{
    """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 					lowercase							(				_lowerCamelCase   ):


    '''simple docstring'''

    lowerCAmelCase__   					=				"oneformer"
    lowerCAmelCase__   					=				{"hidden_size": "hidden_dim"}

    def __init__(       self  :  Tuple					,  __lowerCamelCase  :  Optional[Dict] = None					,  __lowerCamelCase  :  int = 255					,  __lowerCamelCase  :  int = 150					,  __lowerCamelCase  :  int = 0.1					,  __lowerCamelCase  :  float = 2.0					,  __lowerCamelCase  :  float = 5.0					,  __lowerCamelCase  :  float = 5.0					,  __lowerCamelCase  :  float = 0.5					,  __lowerCamelCase  :  float = 0.0_7					,  __lowerCamelCase  :  int = 12544					,  __lowerCamelCase  :  float = 3.0					,  __lowerCamelCase  :  float = 0.7_5					,  __lowerCamelCase  :  float = 0.0_2					,  __lowerCamelCase  :  float = 1.0					,  __lowerCamelCase  :  float = 1E-05					,  __lowerCamelCase  :  bool = False					,  __lowerCamelCase  :  bool = True					,  __lowerCamelCase  :  bool = True					,  __lowerCamelCase  :  Optional[list] = [4, 8, 16, 32]					,  __lowerCamelCase  :  int = 77					,  __lowerCamelCase  :  int = 256					,  __lowerCamelCase  :  int = 77					,  __lowerCamelCase  :  int = 6					,  __lowerCamelCase  :  int = 49408					,  __lowerCamelCase  :  int = 2					,  __lowerCamelCase  :  int = 16					,  __lowerCamelCase  :  int = 256					,  __lowerCamelCase  :  int = 256					,  __lowerCamelCase  :  int = 256					,  __lowerCamelCase  :  int = 1024					,  __lowerCamelCase  :  str = "GN"					,  __lowerCamelCase  :  int = 6					,  __lowerCamelCase  :  int = 10					,  __lowerCamelCase  :  bool = True					,  __lowerCamelCase  :  int = 8					,  __lowerCamelCase  :  float = 0.1					,  __lowerCamelCase  :  int = 2048					,  __lowerCamelCase  :  bool = False					,  __lowerCamelCase  :  bool = False					,  __lowerCamelCase  :  int = 2					,  __lowerCamelCase  :  int = 4					,  **__lowerCamelCase  :  Tuple					,  )				->				Optional[Any]:

     '''simple docstring'''




     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=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=__lowerCamelCase					,  out_features=["stage1", "stage2", "stage3", "stage4"]					,  )
     elif isinstance(__lowerCamelCase					,  __lowerCamelCase  ):
      lowerCamelCase__	=  backbone_config.get("model_type"  )
      lowerCamelCase__	=  CONFIG_MAPPING[backbone_model_type]
      lowerCamelCase__	=  config_class.from_dict(__lowerCamelCase  )

     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__(**__lowerCamelCase  )




    def  a__					(       self  :  List[str]  )				->				Dict[str, any]:

     '''simple docstring'''




     lowerCamelCase__	=  copy.deepcopy(self.__dict__  )
     lowerCamelCase__	=  self.backbone_config.to_dict()
     lowerCamelCase__	=  self.__class__.model_type
     return output









'''simple docstring'''





from math import cos, sin






def  lowerCamelCase_  (     lowercase__):
 lowerCamelCase__	=  float(lowercase__)
 return [[scaling_factor * int(x == y) for x in range(2)] for y in range(2)]






def  lowerCamelCase_  (     lowercase__):
 lowerCamelCase__	,						lowerCamelCase__	=  cos(lowercase__), sin(lowercase__)
 return [[c, -s], [s, c]]






def  lowerCamelCase_  (     lowercase__):
 lowerCamelCase__	,						lowerCamelCase__	=  cos(lowercase__), sin(lowercase__)
 lowerCamelCase__	=  c * s
 return [[c * c, cs], [cs, s * s]]






def  lowerCamelCase_  (     lowercase__):
 lowerCamelCase__	,						lowerCamelCase__	=  cos(lowercase__), sin(lowercase__)
 lowerCamelCase__	=  c * s
 return [[2 * c - 1, 2 * cs], [2 * cs, 2 * s - 1]]


print(F"""    {scaling(5) = }""")
print(F"""  {rotation(45) = }""")
print(F"""{projection(45) = }""")
print(F"""{reflection(45) = }""")

