code: 
  
  
  """simple docstring"""
  
  
  
  
  
  
  
  import unittest
  
  import torch
  
  from diffusers import DDIMScheduler, TextToVideoZeroPipeline
  from diffusers.utils import load_pt, require_torch_gpu, slow
  
  from ..test_pipelines_common import assert_mean_pixel_difference
  
  
  
  
  
  
  @slow
  @require_torch_gpu
  class    __A       ( unittest.TestCase    ):
  
  
  
  
  
  
   """simple docstring"""
  
  
  
  
   def    SCREAMING_SNAKE_CASE							(	self		)      ->  List[Any]:
       a					='''runwayml/stable-diffusion-v1-5'''
       a					=TextToVideoZeroPipeline.from_pretrained(__A				,					torch_dtype=torch.floataa		).to('''cuda'''		)
       a					=DDIMScheduler.from_config(pipe.scheduler.config		)
       a					=torch.Generator(device='''cuda'''		).manual_seed(0		)
  
       a					='''A bear is playing a guitar on Times Square'''
       a					=pipe(prompt=__A				,					generator=__A		).images
  
       a					=load_pt(
           '''https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/text-to-video/A bear is playing a guitar on Times Square.pt'''		)
  
       assert_mean_pixel_difference(__A				,					__A		)
style_context: 
  
  
  """simple docstring"""
  
  
  
  
  
  
  
  from __future__ import annotations
  
  from random import randrange
  def _A		(		lowercase	):
  
  
  
  
  
  
  
      """simple docstring"""
      if len(lowercase	) < 2:
          return collection
      a					=randrange(len(lowercase	)	)  # Use random element as pivot
      a					=collection[pivot_index]
      a					=[]  # All elements greater than pivot
      a					=[]  # All elements less than or equal to pivot
  
      for element in collection[:pivot_index]:
          (greater if element > pivot else lesser).append(lowercase	)
  
      for element in collection[pivot_index + 1 :]:
          (greater if element > pivot else lesser).append(lowercase	)
  
      return [*quick_sort(lowercase	), pivot, *quick_sort(lowercase	)]
  
  
  if __name__ == "__main__":
         lowerCamelCase_     :     Union[str, Any]    		=						input("""Enter numbers separated by a comma:\n""").strip()
         lowerCamelCase_     :     Union[str, Any]    		=						[int(item) for item in user_input.split(""",""")]
         print(quick_sort(unsorted))