



"""simple docstring"""
import random
import unittest

import torch

from diffusers import IFInpaintingPipeline
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_INPAINTING_BATCH_PARAMS,
    TEXT_GUIDED_IMAGE_INPAINTING_PARAMS,
)
from ..test_pipelines_common import PipelineTesterMixin
from . import IFPipelineTesterMixin
@skip_mps
class 					a	(  _UpperCamelCase	,      _UpperCamelCase	,      unittest.TestCase       ):
		UpperCamelCase	:				List[Any]     						=					IFInpaintingPipeline
		UpperCamelCase	:				List[Any]     						=					TEXT_GUIDED_IMAGE_INPAINTING_PARAMS - {'width', 'height'}
		UpperCamelCase	:				Dict     						=					TEXT_GUIDED_IMAGE_INPAINTING_BATCH_PARAMS
		UpperCamelCase	:				Any     						=					PipelineTesterMixin.required_optional_params - {'latents'}



		def 	lowerCamelCase__       (						self :					Tuple		)     ->					Dict:


					'''simple docstring'''




					return self._get_dummy_components()



		def 	lowerCamelCase__       (						self :					str       ,		lowerCAmelCase :					Dict       ,		lowerCAmelCase :					List[Any]=0		)     ->					int:


					'''simple docstring'''




					if str(lowerCAmelCase		).startswith("""mps"""		):
								SCREAMING_SNAKE_CASE_: Tuple     			=torch.manual_seed(lowerCAmelCase		)
					else:
								SCREAMING_SNAKE_CASE_: Dict     			=torch.Generator(device=lowerCAmelCase		).manual_seed(lowerCAmelCase		)

					SCREAMING_SNAKE_CASE_: Optional[int]     			=floats_tensor((1, 3, 32, 32)       ,		rng=random.Random(lowerCAmelCase		)		).to(lowerCAmelCase		)
					SCREAMING_SNAKE_CASE_: List[str]     			=floats_tensor((1, 3, 32, 32)       ,		rng=random.Random(lowerCAmelCase		)		).to(lowerCAmelCase		)

					SCREAMING_SNAKE_CASE_: Any     			={
					    "prompt": "A painting of a squirrel eating a burger",
					    "image": image,
					    "mask_image": mask_image,
					    "generator": generator,
					    "num_inference_steps": 2,
					    "output_type": "numpy",
					}

					return inputs



		@unittest.skipIf(
		    torch_device != """cuda""" or not is_xformers_available()       ,		reason="""XFormers attention is only available with CUDA and `xformers` installed"""       ,		)
		def 	lowerCamelCase__       (						self :					Dict		)     ->					str:


					'''simple docstring'''




					self._test_xformers_attention_forwardGenerator_pass(expected_max_diff=1E-3		)



		def 	lowerCamelCase__       (						self :					Tuple		)     ->					int:


					'''simple docstring'''




					self._test_save_load_optional_components()



		@unittest.skipIf(torch_device != """cuda"""       ,		reason="""float16 requires CUDA"""		)
		def 	lowerCamelCase__       (						self :					Optional[Any]		)     ->					Optional[int]:


					'''simple docstring'''




					super().test_save_load_floataa(expected_max_diff=1E-1		)



		def 	lowerCamelCase__       (						self :					Any		)     ->					List[Any]:


					'''simple docstring'''




					self._test_attention_slicing_forward_pass(expected_max_diff=1E-2		)



		def 	lowerCamelCase__       (						self :					Optional[int]		)     ->					List[Any]:


					'''simple docstring'''




					self._test_save_load_local()





		def 	lowerCamelCase__       (						self :					List[Any]		)     ->					List[Any]:


					'''simple docstring'''




					self._test_inference_batch_single_identical(
					    expected_max_diff=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)



