
import copy

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


lowercase__		:str   =    logging.get_logger(__name__)







class 				lowercase		(					SCREAMING_SNAKE_CASE__		):
							lowercase_       :       Union[str, Any]       					='''upernet'''




							def __init__(				self   ,A__=None   ,A__=5_1_2   ,A__=0.02   ,A__=[1, 2, 3, 6]   ,A__=True   ,A__=0.4   ,A__=3_8_4   ,A__=2_5_6   ,A__=1   ,A__=False   ,A__=2_5_5   ,**A__   ,):
												super().__init__(**A__)

												if backbone_config is None:
																	logger.info('''`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.''')
																	lowercase							=						CONFIG_MAPPING['''resnet'''](out_features=['''stage1''', '''stage2''', '''stage3''', '''stage4'''])
												elif isinstance(A__   ,A__):
																	lowercase							=						backbone_config.get('''model_type''')
																	lowercase							=						CONFIG_MAPPING[backbone_model_type]
																	lowercase							=						config_class.from_dict(A__)

												lowercase							=						backbone_config
												lowercase							=						hidden_size
												lowercase							=						initializer_range
												lowercase							=						pool_scales
												lowercase							=						use_auxiliary_head
												lowercase							=						auxiliary_loss_weight
												lowercase							=						auxiliary_in_channels
												lowercase							=						auxiliary_channels
												lowercase							=						auxiliary_num_convs
												lowercase							=						auxiliary_concat_input
												lowercase							=						loss_ignore_index





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






"""simple docstring"""





from collections import namedtuple

_a		       =							namedtuple('from_to', 'from_ to')

_a		       =							{
    'cubicmeter': from_to(1, 1),
    'litre': from_to(0.001, 1_000),
    'kilolitre': from_to(1, 1),
    'gallon': from_to(0.0_0454, 264.172),
    'cubicyard': from_to(0.7_6455, 1.3_0795),
    'cubicfoot': from_to(0.028, 35.3147),
    'cup': from_to(0.0_0023_6588, 4226.75),
}







def 	__a     (		__lowerCamelCase,		__lowerCamelCase,		__lowerCamelCase  ):
   if from_type not in METRIC_CONVERSION:
      raise ValueError(
          f"""Invalid 'from_type' value: {from_type!r}  Supported values are:\n"""
          + ", ".join(__lowerCamelCase  )  )
   if to_type not in METRIC_CONVERSION:
      raise ValueError(
          f"""Invalid 'to_type' value: {to_type!r}.  Supported values are:\n"""
          + ", ".join(__lowerCamelCase  )  )
   return value * METRIC_CONVERSION[from_type].from_ * METRIC_CONVERSION[to_type].to


if __name__ == "__main__":
    import doctest

    doctest.testmod()


