





import copy
from typing import Dict, List, Optional

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


UpperCAmelCase__						:			List[str]									={
    '''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__						:			Dict									=logging.get_logger(__name__)

class       __A     (						a    ):
				__A      =				"""mask2former"""
				__A      =				["""swin"""]
				__A      =				{"""hidden_size""": """hidden_dim"""}


				def __init__(		self   , UpperCAmelCase_ = None   , UpperCAmelCase_ = 256   , UpperCAmelCase_ = 256   , UpperCAmelCase_ = 256   , UpperCAmelCase_ = 1024   , UpperCAmelCase_ = "relu"   , UpperCAmelCase_ = 6   , UpperCAmelCase_ = 10   , UpperCAmelCase_ = 8   , UpperCAmelCase_ = 0.0   , UpperCAmelCase_ = 2048   , UpperCAmelCase_ = False   , UpperCAmelCase_ = False   , UpperCAmelCase_ = 4   , UpperCAmelCase_ = 255   , UpperCAmelCase_ = 100   , UpperCAmelCase_ = 0.1   , UpperCAmelCase_ = 2.0   , UpperCAmelCase_ = 5.0   , UpperCAmelCase_ = 5.0   , UpperCAmelCase_ = 12544   , UpperCAmelCase_ = 3.0   , UpperCAmelCase_ = 0.7_5   , UpperCAmelCase_ = 0.0_2   , UpperCAmelCase_ = 1.0   , UpperCAmelCase_ = True   , UpperCAmelCase_ = [4, 8, 16, 32]   , UpperCAmelCase_ = None   , **UpperCAmelCase_   , ):
								if backbone_config is None:
												logger.info("""`backbone_config` is `None`. 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, 18, 2]   , num_heads=[3, 6, 12, 24]   , window_size=7   , drop_path_rate=0.3   , use_absolute_embeddings=UpperCAmelCase_   , 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 Mask2Former. """
												    f"""Supported model types: {",".join(self.backbones_supported							)}"""							)

								lowerCamelCase	 =backbone_config
								lowerCamelCase	 =feature_size
								lowerCamelCase	 =mask_feature_size
								lowerCamelCase	 =hidden_dim
								lowerCamelCase	 =encoder_feedforward_dim
								lowerCamelCase	 =activation_function
								lowerCamelCase	 =encoder_layers
								lowerCamelCase	 =decoder_layers
								lowerCamelCase	 =num_attention_heads
								lowerCamelCase	 =dropout
								lowerCamelCase	 =dim_feedforward
								lowerCamelCase	 =pre_norm
								lowerCamelCase	 =enforce_input_projection
								lowerCamelCase	 =common_stride
								lowerCamelCase	 =ignore_value
								lowerCamelCase	 =num_queries
								lowerCamelCase	 =no_object_weight
								lowerCamelCase	 =class_weight
								lowerCamelCase	 =mask_weight
								lowerCamelCase	 =dice_weight
								lowerCamelCase	 =train_num_points
								lowerCamelCase	 =oversample_ratio
								lowerCamelCase	 =importance_sample_ratio
								lowerCamelCase	 =init_std
								lowerCamelCase	 =init_xavier_std
								lowerCamelCase	 =use_auxiliary_loss
								lowerCamelCase	 =feature_strides
								lowerCamelCase	 =output_auxiliary_logits
								lowerCamelCase	 =decoder_layers

								super().__init__(**UpperCAmelCase_							)


				@classmethod
				def _snake_case       (		cls   , UpperCAmelCase_   , **UpperCAmelCase_							):
								return cls(
								    backbone_config=UpperCAmelCase_   , **UpperCAmelCase_   , )


				def _snake_case       (		self							):
								lowerCamelCase	 =copy.deepcopy(self.__dict__							)
								lowerCamelCase	 =self.backbone_config.to_dict()
								lowerCamelCase	 =self.__class__.model_type
								return output












def      _lowercase					(						_UpperCAmelCase			,      _UpperCAmelCase				)						->  list[str]:
				return [sentence[i : i + ngram_size] for i in range(len(_UpperCAmelCase				) - ngram_size + 1				)]


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

							testmod()





