


import unittest

import numpy as np
import torch

from diffusers import VersatileDiffusionImageVariationPipeline
from diffusers.utils.testing_utils import load_image, require_torch_gpu, slow, torch_device


__UpperCAmelCase : Dict 			=				False



class    UpperCAmelCase_	(							unittest.TestCase):
       '''simple docstring'''
       pass




@slow
@require_torch_gpu
class    UpperCAmelCase_	(							unittest.TestCase):
       '''simple docstring'''






       def  _lowercase   (     self						):




              """simple docstring"""




              UpperCamelCase    :	Dict   	=		VersatileDiffusionImageVariationPipeline.from_pretrained('''shi-labs/versatile-diffusion'''						)
              pipe.to(__SCREAMING_SNAKE_CASE						)
              pipe.set_progress_bar_config(disable=__SCREAMING_SNAKE_CASE						)

              UpperCamelCase    :	Union[str, Any]   	=		load_image(
                  '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/versatile_diffusion/benz.jpg'''						)
              UpperCamelCase    :	str   	=		torch.manual_seed(0						)
              UpperCamelCase    :	Union[str, Any]   	=		pipe(
                  image=__SCREAMING_SNAKE_CASE ,					generator=__SCREAMING_SNAKE_CASE ,					guidance_scale=7.5 ,					num_inference_steps=50 ,					output_type='''numpy''' ,					).images

              UpperCamelCase    :	List[Any]   	=		image[0, 253:256, 253:256, -1]

              assert image.shape == (1, 512, 512, 3)
              UpperCamelCase    :	Dict   	=		np.array([0.0_441, 0.0_469, 0.0_507, 0.0_575, 0.0_632, 0.0_650, 0.0_865, 0.0_909, 0.0_945]						)

              assert np.abs(image_slice.flatten() - expected_slice						).max() < 1e-2





from __future__ import annotations


def      a	(							SCREAMING_SNAKE_CASE_      :		list[int]       ):






       """simple docstring"""





       if len(SCREAMING_SNAKE_CASE_       ) == 0:
              return array

       UpperCamelCase	, UpperCamelCase    :	Union[str, Any]   	=		min(SCREAMING_SNAKE_CASE_       ), max(SCREAMING_SNAKE_CASE_       )

       # Compute the variables
       UpperCamelCase    :	Union[str, Any]   	=		_max - _min + 1
       UpperCamelCase	, UpperCamelCase    :	Optional[Any]   	=		[0] * holes_range, [0] * holes_range

       # Make the sorting.
       for i in array:
              UpperCamelCase    :	Optional[int]   	=		i - _min
              UpperCamelCase    :	Any   	=		i
              holes_repeat[index] += 1

       # Makes the array back by replacing the numbers.
       UpperCamelCase    :	str   	=		0
       for i in range(SCREAMING_SNAKE_CASE_       ):
              while holes_repeat[i] > 0:
                     UpperCamelCase    :	List[Any]   	=		holes[i]
                     index += 1
                     holes_repeat[i] -= 1

    # Returns the sorted array.
       return array


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  __UpperCAmelCase : Any 			=				input("Enter numbers separated by comma:\n")
  __UpperCAmelCase : int 			=				[int(x) for x in user_input.split(",")]
  print(pigeon_sort(unsorted))

