




'''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_      :		List[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_      :		int							      =       logging.get_logger(__name__)


class   __UpperCamelCase       ( SCREAMING_SNAKE_CASE__				):
       lowercase	:    Optional[Any]      						="maskformer"
       lowercase	:    Any      						={"hidden_size": "mask_feature_size"}
       lowercase	:    Optional[Any]      						=["resnet", "swin"]
       lowercase	:    str      						=["detr"]






       def __init__(							self,		lowerCAmelCase = 256,		lowerCAmelCase = 256,		lowerCAmelCase = 0.1,		lowerCAmelCase = False,		lowerCAmelCase = None,		lowerCAmelCase = None,		lowerCAmelCase = 0.0_2,		lowerCAmelCase = 1.0,		lowerCAmelCase = 1.0,		lowerCAmelCase = 1.0,		lowerCAmelCase = 2_0.0,		lowerCAmelCase = None,		**lowerCAmelCase,		):



              """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(lowerCamelCase__,		lowerCamelCase__  ):
                     lowerCamelCase_							=backbone_config.pop('''model_type'''  )
                     lowerCamelCase_							=CONFIG_MAPPING[backbone_model_type]
                     lowerCamelCase_							=config_class.from_dict(lowerCamelCase__  )

              # 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(lowerCamelCase__,		lowerCamelCase__  ) 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(lowerCamelCase__,		lowerCamelCase__  ):
                            lowerCamelCase_							=CONFIG_MAPPING[decoder_type]
                            lowerCamelCase_							=config_class.from_dict(lowerCamelCase__  )

              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__(**lowerCamelCase__  )






       @classmethod
       def      lowercase__     (							cls,		lowerCAmelCase,		lowerCAmelCase,		**lowerCAmelCase  ):



              """simple docstring"""







              return cls(
                  backbone_config=lowerCamelCase__,		decoder_config=lowerCamelCase__,		**lowerCamelCase__,		)






       def      lowercase__     (							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









def 	__UpperCamelCase	(  _lowerCAmelCase		)       ->  list:



    """simple docstring"""






    return [
        txt[:a] + txt[a].upper() + txt[a + 1 :]
        for a in range(len(_lowerCAmelCase		)		)
        if txt[a].isalpha()
    ]


if __name__ == "__main__":
     __import__("""doctest""").testmod()


