


'''simple docstring'''

import copy
from typing import Dict, Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING
from ..detr import DetrConfig
from ..swin import SwinConfig


a_						:       Any      			=				{
    """facebook/maskformer-swin-base-ade""": (
        """https://huggingface.co/facebook/maskformer-swin-base-ade/blob/main/config.json"""
    )
    # See all MaskFormer models at https://huggingface.co/models?filter=maskformer
}

a_						:       List[str]      			=				logging.get_logger(__name__)





class   snake_case					(					lowercase    ):





  """simple docstring"""




  _lowerCamelCase						=						'maskformer'
  _lowerCamelCase						=						{'hidden_size': 'mask_feature_size'}
  _lowerCamelCase						=						['resnet', 'swin']
  _lowerCamelCase						=						['detr']






  def __init__(					self    ,						UpperCamelCase = 256    ,						UpperCamelCase = 256    ,						UpperCamelCase = 0.1    ,						UpperCamelCase = False    ,						UpperCamelCase = None    ,						UpperCamelCase = None    ,						UpperCamelCase = 0.02    ,						UpperCamelCase = 1.0    ,						UpperCamelCase = 1.0    ,						UpperCamelCase = 1.0    ,						UpperCamelCase = 20.0    ,						UpperCamelCase = None    ,						**UpperCamelCase    ,						):







   """simple docstring"""







   if backbone_config is None:
    # fall back to https://huggingface.co/microsoft/swin-base-patch4-window12-384-in22k
    lowerCamelCase_  				=						SwinConfig(
        image_size=384    ,						in_channels=3    ,						patch_size=4    ,						embed_dim=128    ,						depths=[2, 2, 18, 2]    ,						num_heads=[4, 8, 16, 32]    ,						window_size=12    ,						drop_path_rate=0.3    ,						out_features=["stage1", "stage2", "stage3", "stage4"]    ,						)

   if isinstance(UpperCamelCase    ,						UpperCamelCase  ):
    lowerCamelCase_  				=						backbone_config.pop("model_type"  )
    lowerCamelCase_  				=						CONFIG_MAPPING[backbone_model_type]
    lowerCamelCase_  				=						config_class.from_dict(UpperCamelCase  )

   # verify that the backbone is supported
   if backbone_config.model_type not in self.backbones_supported:
    logger.warning_once(
        f'''Backbone {backbone_config.model_type} is not a supported model and may not be compatible with MaskFormer. '''
        f'''Supported model types: {",".join(self.backbones_supported  )}'''  )

   if decoder_config is None:
    # fall back to https://huggingface.co/facebook/detr-resnet-50
    lowerCamelCase_  				=						DetrConfig()
   else:
    # verify that the decoder is supported
    lowerCamelCase_  				=						(
        decoder_config.pop("model_type"  ) if isinstance(UpperCamelCase    ,						UpperCamelCase  ) else decoder_config.model_type
    )
    if decoder_type not in self.decoders_supported:
     raise ValueError(
         f'''Transformer Decoder {decoder_type} not supported, please use one of'''
         f''' {",".join(self.decoders_supported  )}'''  )
    if isinstance(UpperCamelCase    ,						UpperCamelCase  ):
     lowerCamelCase_  				=						CONFIG_MAPPING[decoder_type]
     lowerCamelCase_  				=						config_class.from_dict(UpperCamelCase  )

   lowerCamelCase_  				=						backbone_config
   lowerCamelCase_  				=						decoder_config
   # main feature dimension for the model
   lowerCamelCase_  				=						fpn_feature_size
   lowerCamelCase_  				=						mask_feature_size
   # initializer
   lowerCamelCase_  				=						init_std
   lowerCamelCase_  				=						init_xavier_std
   # Hungarian matcher && loss
   lowerCamelCase_  				=						cross_entropy_weight
   lowerCamelCase_  				=						dice_weight
   lowerCamelCase_  				=						mask_weight
   lowerCamelCase_  				=						use_auxiliary_loss
   lowerCamelCase_  				=						no_object_weight
   lowerCamelCase_  				=						output_auxiliary_logits

   lowerCamelCase_  				=						self.decoder_config.encoder_attention_heads
   lowerCamelCase_  				=						self.decoder_config.num_hidden_layers
   super().__init__(**UpperCamelCase  )






  @classmethod
  def 						snake_case	(					cls    ,						UpperCamelCase    ,						UpperCamelCase    ,						**UpperCamelCase  ):







   """simple docstring"""
   return cls(
       backbone_config=UpperCamelCase    ,						decoder_config=UpperCamelCase    ,						**UpperCamelCase    ,						)







  def 						snake_case	(					self  ):







   """simple docstring"""
   lowerCamelCase_  				=						copy.deepcopy(self.__dict__  )
   lowerCamelCase_  				=						self.backbone_config.to_dict()
   lowerCamelCase_  				=						self.decoder_config.to_dict()
   lowerCamelCase_  				=						self.__class__.model_type
   return output







'''simple docstring'''

def __snake_case      (   UpperCAmelCase_		:		int = 100	):
 lowerCamelCase_  				=						n * (n + 1) * (2 * n + 1) / 6
 lowerCamelCase_  				=						(n * (n + 1) / 2) ** 2
 return int(square_of_sum - sum_of_squares	)


if __name__ == "__main__":
     print(f'''{solution() = }''')



