


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


__snake_case            =   {
    "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
}

__snake_case            =   logging.get_logger(__name__)




class    UpperCAmelCase					(       __snake_case    ):
			lowercase						= """maskformer"""
			lowercase						= {"""hidden_size""": """mask_feature_size"""}
			lowercase						= ["""resnet""", """swin"""]
			lowercase						= ["""detr"""]




			def __init__(						self							:		Tuple       ,       __magic_name__							:		int = 2_5_6       ,       __magic_name__							:		int = 2_5_6       ,       __magic_name__							:		float = 0.1       ,       __magic_name__							:		bool = False       ,       __magic_name__							:		Optional[Dict] = None       ,       __magic_name__							:		Optional[Dict] = None       ,       __magic_name__							:		float = 0.02       ,       __magic_name__							:		float = 1.0       ,       __magic_name__							:		float = 1.0       ,       __magic_name__							:		float = 1.0       ,       __magic_name__							:		float = 20.0       ,       __magic_name__							:		Optional[bool] = None       ,       **__magic_name__							:		Optional[Any]       ,       ):







						"""simple docstring"""







						if backbone_config is None:
									# fall back to https://huggingface.co/microsoft/swin-base-patch4-window12-384-in22k
									UpperCamelCase         =					SwinConfig(
									    image_size=3_8_4       ,       in_channels=3       ,       patch_size=4       ,       embed_dim=1_2_8       ,       depths=[2, 2, 1_8, 2]       ,       num_heads=[4, 8, 1_6, 3_2]       ,       window_size=1_2       ,       drop_path_rate=0.3       ,       out_features=["""stage1""", """stage2""", """stage3""", """stage4"""]       ,       )

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

						# 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
									UpperCamelCase         =					DetrConfig()
						else:
									# verify that the decoder is supported
									UpperCamelCase         =					(
									    decoder_config.pop("""model_type"""						) if isinstance(__magic_name__       ,       __magic_name__						) 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(__magic_name__       ,       __magic_name__						):
												UpperCamelCase         =					CONFIG_MAPPING[decoder_type]
												UpperCamelCase         =					config_class.from_dict(__magic_name__						)

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

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




			@classmethod
			def   lowerCamelCase_					(						cls							:		List[Any]       ,       __magic_name__							:		PretrainedConfig       ,       __magic_name__							:		PretrainedConfig       ,       **__magic_name__							:		Optional[Any]						):







						"""simple docstring"""







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





			def   lowerCamelCase_					(						self							:		List[str]						):







						"""simple docstring"""







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








def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		int	):





			"""simple docstring"""




			UpperCamelCase         =					int(SCREAMING_SNAKE_CASE_	)
			if decimal in (0, 1):  # Exit cases for the recursion
						return str(SCREAMING_SNAKE_CASE_	)
			UpperCamelCase  ,  UpperCamelCase         =					divmod(SCREAMING_SNAKE_CASE_       ,  2	)
			return binary_recursive(SCREAMING_SNAKE_CASE_	) + str(SCREAMING_SNAKE_CASE_	)






def 							_lowercase    (		SCREAMING_SNAKE_CASE_   :		str	):





			"""simple docstring"""




			UpperCamelCase         =					str(SCREAMING_SNAKE_CASE_	).strip()
			if not number:
						raise ValueError("""No input value was provided"""	)
			UpperCamelCase         =					"""-""" if number.startswith("""-"""	) else """"""
			UpperCamelCase         =					number.lstrip("""-"""	)
			if not number.isnumeric():
						raise ValueError("""Input value is not an integer"""	)
			return f'{negative}0b{binary_recursive(int(SCREAMING_SNAKE_CASE_	)	)}'


if __name__ == "__main__":
			from doctest import testmod

			testmod()




