






"""simple docstring"""



import random
import unittest

import torch

from diffusers import IFImgaImgPipeline
from diffusers.utils import floats_tensor
from diffusers.utils.import_utils import is_xformers_available
from diffusers.utils.testing_utils import skip_mps, torch_device

from ..pipeline_params import (
    TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS,
    TEXT_GUIDED_IMAGE_VARIATION_PARAMS,
)
from ..test_pipelines_common import PipelineTesterMixin
from . import IFPipelineTesterMixin




@skip_mps
class        lowerCAmelCase__       (  __magic_name__				,		__magic_name__				,		unittest.TestCase					):
   SCREAMING_SNAKE_CASE_					      =IFImgaImgPipeline
   SCREAMING_SNAKE_CASE_					      =TEXT_GUIDED_IMAGE_VARIATION_PARAMS - {'''width''', '''height'''}
   SCREAMING_SNAKE_CASE_					      =TEXT_GUIDED_IMAGE_VARIATION_BATCH_PARAMS
   SCREAMING_SNAKE_CASE_					      =PipelineTesterMixin.required_optional_params - {'''latents'''}
   def 	__a				(						self	:     Union[str, Any]				):


        '''simple docstring'''
        return self._get_dummy_components()
   def 	__a				(						self	:     List[str]				,       snake_case__	:     Union[str, Any]				,       snake_case__	:     Dict=0				):


        '''simple docstring'''
        if str(snake_case__				).startswith("mps"				):
             UpperCAmelCase__		:  str				=				torch.manual_seed(snake_case__				)
        else:
             UpperCAmelCase__		:  List[Any]				=				torch.Generator(device=snake_case__				).manual_seed(snake_case__				)

        UpperCAmelCase__		:  str				=				floats_tensor((1, 3, 3_2, 3_2)				,       rng=random.Random(snake_case__				)				).to(snake_case__				)

        UpperCAmelCase__		:  List[Any]				=				{
            "prompt": "A painting of a squirrel eating a burger",
            "image": image,
            "generator": generator,
            "num_inference_steps": 2,
            "output_type": "numpy",
        }

        return inputs
   def 	__a				(						self	:     int				):


        '''simple docstring'''
        self._test_save_load_optional_components()
   @unittest.skipIf(
       torch_device != "cuda" or not is_xformers_available()				,       reason="XFormers attention is only available with CUDA and `xformers` installed"				,       )
   def 	__a				(						self	:     str				):


        '''simple docstring'''
        self._test_xformers_attention_forwardGenerator_pass(expected_max_diff=1e-3				)
   @unittest.skipIf(torch_device != "cuda"				,       reason="float16 requires CUDA"				)
   def 	__a				(						self	:     List[str]				):


        '''simple docstring'''
        # Due to non-determinism in save load of the hf-internal-testing/tiny-random-t5 text encoder
        super().test_save_load_floataa(expected_max_diff=1e-1				)
   @unittest.skipIf(torch_device != "cuda"				,       reason="float16 requires CUDA"				)
   def 	__a				(						self	:     Tuple				):


        '''simple docstring'''
        super().test_floataa_inference(expected_max_diff=1e-1				)
   def 	__a				(						self	:     Optional[int]				):


        '''simple docstring'''
        self._test_attention_slicing_forward_pass(expected_max_diff=1e-2				)
   def 	__a				(						self	:     Optional[Any]				):


        '''simple docstring'''
        self._test_save_load_local()




   def 	__a				(						self	:     Any				):


        '''simple docstring'''
        self._test_inference_batch_single_identical(
            expected_max_diff=1e-2				,       )










"""simple docstring"""



def      SCREAMING_SNAKE_CASE__    (   snake_case    :      list       , snake_case    :      int       , snake_case    :      int							)->						None:






     '''simple docstring'''



     if right <= left:
          return
     UpperCAmelCase__		:  str				=				left
     UpperCAmelCase__		:  List[str]				=				right
     UpperCAmelCase__		:  List[Any]				=				sorting[left]
     while i <= b:
          if sorting[i] < pivot:
               UpperCAmelCase__				,							UpperCAmelCase__		:  List[str]				=				sorting[i], sorting[a]
               a += 1
               i += 1
          elif sorting[i] > pivot:
               UpperCAmelCase__				,							UpperCAmelCase__		:  Optional[int]				=				sorting[i], sorting[b]
               b -= 1
          else:
               i += 1
     quick_sort_apartition(snake_case       , snake_case       , a - 1							)
     quick_sort_apartition(snake_case       , b + 1       , snake_case							)


def      SCREAMING_SNAKE_CASE__    (   snake_case    :      list       , snake_case    :      int       , snake_case    :      int							)->						None:






     '''simple docstring'''



     if left < right:
          UpperCAmelCase__		:  int				=				lomuto_partition(snake_case       , snake_case       , snake_case							)
          quick_sort_lomuto_partition(snake_case       , snake_case       , pivot_index - 1							)
          quick_sort_lomuto_partition(snake_case       , pivot_index + 1       , snake_case							)


def      SCREAMING_SNAKE_CASE__    (   snake_case    :      list       , snake_case    :      int       , snake_case    :      int							)->						int:






     '''simple docstring'''



     UpperCAmelCase__		:  Union[str, Any]				=				sorting[right]
     UpperCAmelCase__		:  Optional[Any]				=				left
     for i in range(snake_case       , snake_case							):
          if sorting[i] < pivot:
               UpperCAmelCase__				,							UpperCAmelCase__		:  List[Any]				=				sorting[i], sorting[store_index]
               store_index += 1
     UpperCAmelCase__				,							UpperCAmelCase__		:  List[Any]				=				sorting[store_index], sorting[right]
     return store_index


def      SCREAMING_SNAKE_CASE__    (   snake_case    :      list							)->						list:






     '''simple docstring'''



     if len(snake_case							) <= 1:
          return sorting
     return (
         three_way_radix_quicksort([i for i in sorting if i < sorting[0]]							)
         + [i for i in sorting if i == sorting[0]]
         + three_way_radix_quicksort([i for i in sorting if i > sorting[0]]							)
     )


if __name__ == "__main__":
 import doctest

 doctest.testmod(verbose=True)

 _lowerCAmelCase     :     Optional[int]            =	input("""Enter numbers separated by a comma:\n""").strip()
 _lowerCAmelCase     :     str            =	[int(item) for item in user_input.split(""",""")]
 quick_sort_apartition(unsorted, 0, len(unsorted) - 1)
 print(unsorted)


