

from __future__ import annotations
def 					a				(      A__     :       list[int]					)   ->				list[int]:





      """simple docstring"""



      if not list_of_ints:
            return []

      if min(A__					) < 0:
            raise ValueError('All numbers must be positive'					)

      _lowercase     	=max(len(bin(A__					)[2:]					) for x in list_of_ints					)
      return _msd_radix_sort(A__				,       A__					)
def 					a				(      A__     :       list[int]				,       A__     :       int					)   ->				list[int]:





      """simple docstring"""



      if bit_position == 0 or len(A__					) in [0, 1]:
            return list_of_ints

      _lowercase     	=[]
      _lowercase     	=[]
      # Split numbers based on bit at bit_position from the right
      for number in list_of_ints:
            if (number >> (bit_position - 1)) & 1:
                  # number has a one at bit bit_position
                  ones.append(A__					)
            else:
                  # number has a zero at bit bit_position
                  zeros.append(A__					)

    # recursively split both lists further
      _lowercase     	=_msd_radix_sort(A__				,       bit_position - 1					)
      _lowercase     	=_msd_radix_sort(A__				,       bit_position - 1					)

      # recombine lists
      _lowercase     	=zeros
      res.extend(A__					)

      return res
def 					a				(      A__     :       list[int]					)   ->				Tuple:





      """simple docstring"""



      _lowercase     	=len(A__					)
      if not list_of_ints or length == 1:
            return

      if min(A__					) < 0:
            raise ValueError('All numbers must be positive'					)

      _lowercase     	=max(len(bin(A__					)[2:]					) for x in list_of_ints					)
      _msd_radix_sort_inplace(A__				,       A__				,       0				,       A__					)
def 					a				(      A__     :       list[int]				,       A__     :       int				,       A__     :       int				,       A__     :       int					)   ->				List[Any]:





      """simple docstring"""



      if bit_position == 0 or end_index - begin_index <= 1:
            return

      bit_position -= 1

      _lowercase     	=begin_index
      _lowercase     	=end_index - 1
      while i <= j:
            _lowercase     	=False
            if not (list_of_ints[i] >> bit_position) & 1:
                  # found zero at the beginning
                  i += 1
                  _lowercase     	=True
            if (list_of_ints[j] >> bit_position) & 1:
                  # found one at the end
                  j -= 1
                  _lowercase     	=True

            if changed:
                  continue

            _lowercase	,	_lowercase     	=list_of_ints[j], list_of_ints[i]
            j -= 1
            if j != i:
                  i += 1

      _msd_radix_sort_inplace(A__				,       A__				,       A__				,       A__					)
      _msd_radix_sort_inplace(A__				,       A__				,       A__				,       A__					)


if __name__ == "__main__":
  import doctest

  doctest.testmod()



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowercase_     =       {
    'configuration_oneformer': ['ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'OneFormerConfig'],
    'processing_oneformer': ['OneFormerProcessor'],
}

try:
  if not is_vision_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_     =       ['OneFormerImageProcessor']

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_     =       [
      'ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
      'OneFormerForUniversalSegmentation',
      'OneFormerModel',
      'OneFormerPreTrainedModel',
  ]

if TYPE_CHECKING:
  from .configuration_oneformer import ONEFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, OneFormerConfig
  from .processing_oneformer import OneFormerProcessor

  try:
    if not is_vision_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .image_processing_oneformer import OneFormerImageProcessor
  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_oneformer import (
        ONEFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        OneFormerForUniversalSegmentation,
        OneFormerModel,
        OneFormerPreTrainedModel,
    )


else:
  import sys

  lowercase_     =       _LazyModule(__name__, globals()['__file__'], _import_structure)


