



'''simple docstring'''





import copy

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


_UpperCamelCase											=		logging.get_logger(__name__)






class    lowerCamelCase_       (							SCREAMING_SNAKE_CASE_	):
  """simple docstring"""




  a_				   ="""upernet"""




  def __init__(					self :      Any     ,      _a :      Dict=None     ,      _a :      Dict=512     ,      _a :      int=0.02     ,      _a :      List[str]=[1, 2, 3, 6]     ,      _a :      int=True     ,      _a :      Optional[Any]=0.4     ,      _a :      List[str]=384     ,      _a :      List[Any]=256     ,      _a :      Any=1     ,      _a :      Union[str, Any]=False     ,      _a :      Optional[Any]=255     ,      **_a :      Union[str, Any]     ,      )   ->   List[str]:
    super().__init__(**_a  )

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

    __lowerCamelCase			:			Dict       			=					backbone_config
    __lowerCamelCase			:			str       			=					hidden_size
    __lowerCamelCase			:			List[Any]       			=					initializer_range
    __lowerCamelCase			:			Optional[int]       			=					pool_scales
    __lowerCamelCase			:			int       			=					use_auxiliary_head
    __lowerCamelCase			:			Any       			=					auxiliary_loss_weight
    __lowerCamelCase			:			List[str]       			=					auxiliary_in_channels
    __lowerCamelCase			:			List[Any]       			=					auxiliary_channels
    __lowerCamelCase			:			Optional[Any]       			=					auxiliary_num_convs
    __lowerCamelCase			:			List[Any]       			=					auxiliary_concat_input
    __lowerCamelCase			:			int       			=					loss_ignore_index




  def 		_lowercase	(					self :      Tuple  )   ->   List[str]:
    __lowerCamelCase			:			str       			=					copy.deepcopy(self.__dict__  )
    __lowerCamelCase			:			List[str]       			=					self.backbone_config.to_dict()
    __lowerCamelCase			:			List[Any]       			=					self.__class__.model_type
    return output











'''simple docstring'''





from __future__ import annotations

_UpperCamelCase											=		10

def 			a_	(				_lowerCAmelCase			) -> list[int]:
  __lowerCamelCase			:			str       			=					1
  __lowerCamelCase			:			Union[str, Any]       			=					max(_lowerCAmelCase			)
  while placement <= max_digit:
    # declare and initialize empty buckets
    __lowerCamelCase			:			list[list]       			=					[[] for _ in range(_lowerCAmelCase			)]
    # split list_of_ints between the buckets
    for i in list_of_ints:
      __lowerCamelCase			:			List[str]       			=					int((i / placement) % RADIX			)
      buckets[tmp].append(_lowerCAmelCase			)
    # put each buckets' contents into list_of_ints
    __lowerCamelCase			:			Dict       			=					0
    for b in range(_lowerCAmelCase			):
      for i in buckets[b]:
        __lowerCamelCase			:			List[str]       			=					i
        a += 1
        # move to next
    placement *= RADIX
  return list_of_ints


if __name__ == "__main__":
   import doctest

   doctest.testmod()






