



"""simple docstring"""
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     =			False
class 					a	(  unittest.TestCase       ):
  pass







@slow
@require_torch_gpu
class 					a	(  unittest.TestCase       ):



  def 	lowerCamelCase__       (						self :					Union[str, Any]		)     ->					Union[str, Any]:


     '''simple docstring'''




     SCREAMING_SNAKE_CASE_: Optional[Any]     			=VersatileDiffusionImageVariationPipeline.from_pretrained("""shi-labs/versatile-diffusion"""		)
     pipe.to(lowerCAmelCase		)
     pipe.set_progress_bar_config(disable=lowerCAmelCase		)

     SCREAMING_SNAKE_CASE_: str     			=load_image(
         """https://huggingface.co/datasets/hf-internal-testing/diffusers-images/resolve/main/versatile_diffusion/benz.jpg"""		)
     SCREAMING_SNAKE_CASE_: Optional[int]     			=torch.manual_seed(0		)
     SCREAMING_SNAKE_CASE_: Dict     			=pipe(
         image=lowerCAmelCase       ,		generator=lowerCAmelCase       ,		guidance_scale=7.5       ,		num_inference_steps=50       ,		output_type="""numpy"""       ,		).images

     SCREAMING_SNAKE_CASE_: int     			=image[0, 253:256, 253:256, -1]

     assert image.shape == (1, 512, 512, 3)
     SCREAMING_SNAKE_CASE_: Tuple     			=np.array([0.0_4_4_1, 0.0_4_6_9, 0.0_5_0_7, 0.0_5_7_5, 0.0_6_3_2, 0.0_6_5_0, 0.0_8_6_5, 0.0_9_0_9, 0.0_9_4_5]		)

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








"""simple docstring"""
def      __magic_name__				(							lowercase ):
   SCREAMING_SNAKE_CASE_: int     			=False
   while is_sorted is False:  # Until all the indices are traversed keep looping
      SCREAMING_SNAKE_CASE_: Tuple     			=True
      for i in range(0							,			len(lowercase ) - 1							,			2 ):  # iterating over all even indices
         if input_list[i] > input_list[i + 1]:
            SCREAMING_SNAKE_CASE_			,		SCREAMING_SNAKE_CASE_: Optional[int]     			=input_list[i + 1], input_list[i]
            # swapping if elements not in order
            SCREAMING_SNAKE_CASE_: Tuple     			=False

      for i in range(1							,			len(lowercase ) - 1							,			2 ):  # iterating over all odd indices
         if input_list[i] > input_list[i + 1]:
            SCREAMING_SNAKE_CASE_			,		SCREAMING_SNAKE_CASE_: str     			=input_list[i + 1], input_list[i]
            # swapping if elements not in order
            SCREAMING_SNAKE_CASE_: str     			=False
   return input_list


if __name__ == "__main__":
   print("""Enter list to be sorted""")
   _UpperCAmelCase     =			[int(x) for x in input().split()]
   # inputing elements of the list in one line
   _UpperCAmelCase     =			odd_even_sort(input_list)
   print("""The sorted list is""")
   print(sorted_list)



