





'''simple docstring'''

from __future__ import annotations

a        =						10

def 						__magic_name__       (							__UpperCAmelCase      )						->					list[int]:

   '''simple docstring'''







   __SCREAMING_SNAKE_CASE      							=       1
   __SCREAMING_SNAKE_CASE      							=       max(__UpperCAmelCase      )
   while placement <= max_digit:
      # declare and initialize empty buckets
      __SCREAMING_SNAKE_CASE      							=       [[] for _ in range(__UpperCAmelCase      )]
      # split list_of_ints between the buckets
      for i in list_of_ints:
         __SCREAMING_SNAKE_CASE      							=       int((i / placement) % RADIX      )
         buckets[tmp].append(__UpperCAmelCase      )
      # put each buckets' contents into list_of_ints
      __SCREAMING_SNAKE_CASE      							=       0
      for b in range(__UpperCAmelCase      ):
         for i in buckets[b]:
            __SCREAMING_SNAKE_CASE      							=       i
            a += 1
        # move to next
      placement *= RADIX
   return list_of_ints


if __name__ == "__main__":
    import doctest

    doctest.testmod()












'''simple docstring'''

from ...utils import (
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_torch_available,
    is_transformers_available,
)


try:
    if not (is_transformers_available() and is_torch_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
    from .multicontrolnet import MultiControlNetModel
    from .pipeline_controlnet import StableDiffusionControlNetPipeline
    from .pipeline_controlnet_imgaimg import StableDiffusionControlNetImgaImgPipeline
    from .pipeline_controlnet_inpaint import StableDiffusionControlNetInpaintPipeline


if is_transformers_available() and is_flax_available():
    from .pipeline_flax_controlnet import FlaxStableDiffusionControlNetPipeline





