
"""simple docstring"""


import copy
from typing import Dict, Optional

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


__A       						=       logging.get_logger(__name__)

__A       						=       {
    'shi-labs/oneformer_ade20k_swin_tiny': (
        'https://huggingface.co/shi-labs/oneformer_ade20k_swin_tiny/blob/main/config.json'
    ),
    # See all OneFormer models at https://huggingface.co/models?filter=oneformer
}







class 		lowerCamelCase__					(					__magic_name__				):





			'''simple docstring'''
			lowerCamelCase  					=		'''oneformer'''
			lowerCamelCase  					=		{'''hidden_size''': '''hidden_dim'''}



			def __init__(							self     ,     __UpperCAmelCase = None     ,     __UpperCAmelCase = 2_55     ,     __UpperCAmelCase = 1_50     ,     __UpperCAmelCase = 0.1     ,     __UpperCAmelCase = 2.0     ,     __UpperCAmelCase = 5.0     ,     __UpperCAmelCase = 5.0     ,     __UpperCAmelCase = 0.5     ,     __UpperCAmelCase = 0.0_7     ,     __UpperCAmelCase = 1_25_44     ,     __UpperCAmelCase = 3.0     ,     __UpperCAmelCase = 0.7_5     ,     __UpperCAmelCase = 0.0_2     ,     __UpperCAmelCase = 1.0     ,     __UpperCAmelCase = 1e-05     ,     __UpperCAmelCase = False     ,     __UpperCAmelCase = True     ,     __UpperCAmelCase = True     ,     __UpperCAmelCase = [4, 8, 16, 32]     ,     __UpperCAmelCase = 77     ,     __UpperCAmelCase = 2_56     ,     __UpperCAmelCase = 77     ,     __UpperCAmelCase = 6     ,     __UpperCAmelCase = 4_94_08     ,     __UpperCAmelCase = 2     ,     __UpperCAmelCase = 16     ,     __UpperCAmelCase = 2_56     ,     __UpperCAmelCase = 2_56     ,     __UpperCAmelCase = 2_56     ,     __UpperCAmelCase = 10_24     ,     __UpperCAmelCase = "GN"     ,     __UpperCAmelCase = 6     ,     __UpperCAmelCase = 10     ,     __UpperCAmelCase = True     ,     __UpperCAmelCase = 8     ,     __UpperCAmelCase = 0.1     ,     __UpperCAmelCase = 20_48     ,     __UpperCAmelCase = False     ,     __UpperCAmelCase = False     ,     __UpperCAmelCase = 2     ,     __UpperCAmelCase = 4     ,     **__UpperCAmelCase     ,     ) ->     Tuple:
				if backbone_config is None:
					logger.info("""`backbone_config` is unset. Initializing the config with the default `Swin` backbone."""  )
					_lowerCAmelCase								=CONFIG_MAPPING["""swin"""](
					    image_size=2_24     ,     in_channels=3     ,     patch_size=4     ,     embed_dim=96     ,     depths=[2, 2, 6, 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"""]     ,     )
				elif isinstance(__UpperCAmelCase     ,     __UpperCAmelCase  ):
					_lowerCAmelCase								=backbone_config.get("""model_type"""  )
					_lowerCAmelCase								=CONFIG_MAPPING[backbone_model_type]
					_lowerCAmelCase								=config_class.from_dict(__UpperCAmelCase  )

				_lowerCAmelCase								=backbone_config

				_lowerCAmelCase								=ignore_value
				_lowerCAmelCase								=num_queries
				_lowerCAmelCase								=no_object_weight
				_lowerCAmelCase								=class_weight
				_lowerCAmelCase								=mask_weight
				_lowerCAmelCase								=dice_weight
				_lowerCAmelCase								=contrastive_weight
				_lowerCAmelCase								=contrastive_temperature
				_lowerCAmelCase								=train_num_points
				_lowerCAmelCase								=oversample_ratio
				_lowerCAmelCase								=importance_sample_ratio
				_lowerCAmelCase								=init_std
				_lowerCAmelCase								=init_xavier_std
				_lowerCAmelCase								=layer_norm_eps
				_lowerCAmelCase								=is_training
				_lowerCAmelCase								=use_auxiliary_loss
				_lowerCAmelCase								=output_auxiliary_logits
				_lowerCAmelCase								=strides
				_lowerCAmelCase								=task_seq_len
				_lowerCAmelCase								=text_encoder_width
				_lowerCAmelCase								=text_encoder_context_length
				_lowerCAmelCase								=text_encoder_num_layers
				_lowerCAmelCase								=text_encoder_vocab_size
				_lowerCAmelCase								=text_encoder_proj_layers
				_lowerCAmelCase								=text_encoder_n_ctx
				_lowerCAmelCase								=conv_dim
				_lowerCAmelCase								=mask_dim
				_lowerCAmelCase								=hidden_dim
				_lowerCAmelCase								=encoder_feedforward_dim
				_lowerCAmelCase								=norm
				_lowerCAmelCase								=encoder_layers
				_lowerCAmelCase								=decoder_layers
				_lowerCAmelCase								=use_task_norm
				_lowerCAmelCase								=num_attention_heads
				_lowerCAmelCase								=dropout
				_lowerCAmelCase								=dim_feedforward
				_lowerCAmelCase								=pre_norm
				_lowerCAmelCase								=enforce_input_proj
				_lowerCAmelCase								=query_dec_layers
				_lowerCAmelCase								=common_stride
				_lowerCAmelCase								=decoder_layers

				super().__init__(**__UpperCAmelCase  )



			def 					_lowerCAmelCase		(							self  ) ->     Dict[str, any]:
				_lowerCAmelCase								=copy.deepcopy(self.__dict__  )
				_lowerCAmelCase								=self.backbone_config.to_dict()
				_lowerCAmelCase								=self.__class__.model_type
				return output





"""simple docstring"""


import enum
import inspect
import warnings
from functools import wraps
from typing import Callable, Optional

from .logging import get_logger


__A       						=       set()
__A       						=       get_logger(__name__)



def     _lowerCamelCase(__UpperCamelCase = None       )				-> Optional[Any]:

	def decorator(__UpperCamelCase       ):
		global _emitted_deprecation_warnings

		if inspect.isclass(__UpperCamelCase       ):
			_lowerCAmelCase								=deprecated_class_or_function.__init__
			_lowerCAmelCase								=deprecated_class_or_function.__name__
		else:
			_lowerCAmelCase								=deprecated_class_or_function
			_lowerCAmelCase								=deprecated_function.__name__
			# Support deprecating __init__ class method: class name instead
			_lowerCAmelCase								=name if name != """__init__""" else deprecated_function.__qualname__.split("""."""       )[-2]

		_lowerCAmelCase								=(
		    F'''{name} is deprecated and will be removed in the next major version of datasets.''' + F''' {help_message}'''
		    if help_message
		    else """"""
		)

		@wraps(__UpperCamelCase       )
		def wrapper(*__UpperCamelCase    , **__UpperCamelCase       ):
			_lowerCAmelCase								=hash(__UpperCamelCase       )
			if func_hash not in _emitted_deprecation_warnings:
				warnings.warn(__UpperCamelCase    , category=__UpperCamelCase    , stacklevel=2       )
				_emitted_deprecation_warnings.add(__UpperCamelCase       )
			return deprecated_function(*__UpperCamelCase    , **__UpperCamelCase       )

		_lowerCAmelCase								="""deprecated"""

		if inspect.isclass(__UpperCamelCase       ):
			_lowerCAmelCase								=wrapper
			return deprecated_class_or_function
		else:
			return wrapper

	return decorator







class 		lowerCamelCase__					(					enum.EnumMeta				):





			'''simple docstring'''



			def __getattribute__(							cls     ,     __UpperCAmelCase  ) ->     Optional[int]:
				_lowerCAmelCase								=super().__getattribute__(__UpperCAmelCase  )
				if isinstance(__UpperCAmelCase     ,     enum.Enum  ) and obj._on_access:
					obj._on_access()
				return obj



			def __getitem__(							cls     ,     __UpperCAmelCase  ) ->     List[str]:
				_lowerCAmelCase								=super().__getitem__(__UpperCAmelCase  )
				if member._on_access:
					member._on_access()
				return member



			def __call__(							cls     ,     __UpperCAmelCase     ,     __UpperCAmelCase=None     ,     *, __UpperCAmelCase=None     ,     __UpperCAmelCase=None     ,     __UpperCAmelCase=None     ,     __UpperCAmelCase=1  ) ->     Optional[Any]:
				_lowerCAmelCase								=super().__call__(__UpperCAmelCase     ,     __UpperCAmelCase     ,     module=__UpperCAmelCase     ,     qualname=__UpperCAmelCase     ,     type=__UpperCAmelCase     ,     start=__UpperCAmelCase  )
				if isinstance(__UpperCAmelCase     ,     enum.Enum  ) and obj._on_access:
					obj._on_access()
				return obj







class 		lowerCamelCase__					(					enum.Enum ,	metaclass=__magic_name__				):





			'''simple docstring'''



			def __new__(							cls     ,     __UpperCAmelCase  ) ->     Optional[int]:
				_lowerCAmelCase								=object.__new__(cls  )
				_lowerCAmelCase								=value
				_lowerCAmelCase								=member.deprecate
				return member



			@property
			def 					_lowerCAmelCase		(							self  ) ->     List[Any]:
				return ""



			def 					_lowerCAmelCase		(							self  ) ->     Tuple:
				_lowerCAmelCase								=f''' {self.help_message}''' if self.help_message else """"""
				warnings.warn(
				    f'''\'{self.__objclass__.__name__}\' is deprecated and will be removed in the next major version of datasets.'''
				    + help_message     ,     __UpperCAmelCase     ,     stacklevel=3     ,     )



