
"""simple docstring"""




import copy
from typing import Dict, List, Optional

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


UpperCAmelCase__   :					Any												=				{
    """facebook/mask2former-swin-small-coco-instance""": (
        """https://huggingface.co/facebook/mask2former-swin-small-coco-instance/blob/main/config.json"""
    )
    # See all Mask2Former models at https://huggingface.co/models?filter=mask2former
}

UpperCAmelCase__   :					Union[str, Any]												=				logging.get_logger(__name__)



class 			lowerCAmelCase_		(UpperCamelCase_						):


    """simple docstring"""



    __UpperCamelCase   :		List[Any]       =     '''mask2former'''
    __UpperCamelCase   :		List[str]       =     ['''swin''']
    __UpperCamelCase   :		str       =     {'''hidden_size''': '''hidden_dim'''}



    def __init__(self     , SCREAMING_SNAKE_CASE__ = None     , SCREAMING_SNAKE_CASE__ = 2_56     , SCREAMING_SNAKE_CASE__ = 2_56     , SCREAMING_SNAKE_CASE__ = 2_56     , SCREAMING_SNAKE_CASE__ = 10_24     , SCREAMING_SNAKE_CASE__ = "relu"     , SCREAMING_SNAKE_CASE__ = 6     , SCREAMING_SNAKE_CASE__ = 10     , SCREAMING_SNAKE_CASE__ = 8     , SCREAMING_SNAKE_CASE__ = 0.0     , SCREAMING_SNAKE_CASE__ = 20_48     , SCREAMING_SNAKE_CASE__ = False     , SCREAMING_SNAKE_CASE__ = False     , SCREAMING_SNAKE_CASE__ = 4     , SCREAMING_SNAKE_CASE__ = 2_55     , SCREAMING_SNAKE_CASE__ = 1_00     , SCREAMING_SNAKE_CASE__ = 0.1     , SCREAMING_SNAKE_CASE__ = 2.0     , SCREAMING_SNAKE_CASE__ = 5.0     , SCREAMING_SNAKE_CASE__ = 5.0     , SCREAMING_SNAKE_CASE__ = 1_25_44     , SCREAMING_SNAKE_CASE__ = 3.0     , SCREAMING_SNAKE_CASE__ = 0.75     , SCREAMING_SNAKE_CASE__ = 0.02     , SCREAMING_SNAKE_CASE__ = 1.0     , SCREAMING_SNAKE_CASE__ = True     , SCREAMING_SNAKE_CASE__ = [4, 8, 16, 32]     , SCREAMING_SNAKE_CASE__ = None     , **SCREAMING_SNAKE_CASE__     , )      ->	List[str]:



           """simple docstring"""




           if backbone_config is None:
                  logger.info("""`backbone_config` is `None`. Initializing the config with the default `Swin` backbone."""					)
                  SCREAMING_SNAKE_CASE__		: List[Any]     =     CONFIG_MAPPING["swin"](
                      image_size=2_24     , in_channels=3     , patch_size=4     , embed_dim=96     , depths=[2, 2, 18, 2]     , num_heads=[3, 6, 12, 24]     , window_size=7     , drop_path_rate=0.3     , use_absolute_embeddings=__A     , out_features=["""stage1""", """stage2""", """stage3""", """stage4"""]     , )

           if isinstance(__A     , __A					):
                  SCREAMING_SNAKE_CASE__		: Tuple     =     backbone_config.pop("""model_type"""					)
                  SCREAMING_SNAKE_CASE__		: Optional[int]     =     CONFIG_MAPPING[backbone_model_type]
                  SCREAMING_SNAKE_CASE__		: Optional[int]     =     config_class.from_dict(__A					)

           # 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 Mask2Former. '''
                      F'''Supported model types: {','.join(self.backbones_supported					)}'''					)

           SCREAMING_SNAKE_CASE__		: Any     =     backbone_config
           SCREAMING_SNAKE_CASE__		: Dict     =     feature_size
           SCREAMING_SNAKE_CASE__		: List[str]     =     mask_feature_size
           SCREAMING_SNAKE_CASE__		: Any     =     hidden_dim
           SCREAMING_SNAKE_CASE__		: Tuple     =     encoder_feedforward_dim
           SCREAMING_SNAKE_CASE__		: Tuple     =     activation_function
           SCREAMING_SNAKE_CASE__		: int     =     encoder_layers
           SCREAMING_SNAKE_CASE__		: Any     =     decoder_layers
           SCREAMING_SNAKE_CASE__		: Tuple     =     num_attention_heads
           SCREAMING_SNAKE_CASE__		: Optional[int]     =     dropout
           SCREAMING_SNAKE_CASE__		: Tuple     =     dim_feedforward
           SCREAMING_SNAKE_CASE__		: List[Any]     =     pre_norm
           SCREAMING_SNAKE_CASE__		: List[str]     =     enforce_input_projection
           SCREAMING_SNAKE_CASE__		: List[str]     =     common_stride
           SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     ignore_value
           SCREAMING_SNAKE_CASE__		: Union[str, Any]     =     num_queries
           SCREAMING_SNAKE_CASE__		: int     =     no_object_weight
           SCREAMING_SNAKE_CASE__		: Dict     =     class_weight
           SCREAMING_SNAKE_CASE__		: List[Any]     =     mask_weight
           SCREAMING_SNAKE_CASE__		: str     =     dice_weight
           SCREAMING_SNAKE_CASE__		: Optional[int]     =     train_num_points
           SCREAMING_SNAKE_CASE__		: List[str]     =     oversample_ratio
           SCREAMING_SNAKE_CASE__		: Dict     =     importance_sample_ratio
           SCREAMING_SNAKE_CASE__		: int     =     init_std
           SCREAMING_SNAKE_CASE__		: Dict     =     init_xavier_std
           SCREAMING_SNAKE_CASE__		: Tuple     =     use_auxiliary_loss
           SCREAMING_SNAKE_CASE__		: Optional[Any]     =     feature_strides
           SCREAMING_SNAKE_CASE__		: Tuple     =     output_auxiliary_logits
           SCREAMING_SNAKE_CASE__		: str     =     decoder_layers

           super().__init__(**__A					)



    @classmethod
    def 			__magic_name__					(cls     , SCREAMING_SNAKE_CASE__     , **SCREAMING_SNAKE_CASE__					)      ->	Optional[Any]:



           """simple docstring"""




           return cls(
               backbone_config=__A     , **__A     , )



    def 			__magic_name__					(self					)      ->	Tuple:



           """simple docstring"""




           SCREAMING_SNAKE_CASE__		: Dict     =     copy.deepcopy(self.__dict__					)
           SCREAMING_SNAKE_CASE__		: int     =     self.backbone_config.to_dict()
           SCREAMING_SNAKE_CASE__		: Any     =     self.__class__.model_type
           return output






"""simple docstring"""




import baseaa

def lowercase_						(     _snake_case		):
							return baseaa.baaencode(string.encode("""utf-8"""		)		)

def lowercase_						(     _snake_case		):
							return baseaa.baadecode(_snake_case		).decode("""utf-8"""		)


if __name__ == "__main__":
					UpperCAmelCase__   :					Dict												=				'Hello World!'
					UpperCAmelCase__   :					Tuple												=				baseaa_encode(test)
					print(encoded)

					UpperCAmelCase__   :					Tuple												=				baseaa_decode(encoded)
					print(decoded)




