





from multiprocessing import Lock, Pipe, Process

# lock used to ensure that two processes do not access a pipe at the same time
UpperCamelCase__   : Optional[int]					  = Lock()




def    A_(			A				,      A				,      A				,      A				,      A				,      A				,      A   ):
	global process_lock

	# we perform n swaps since after n swaps we know we are sorted
	# we *could* stop early if we are sorted already, but it takes as long to
	# find out we are sorted as it does to sort the list with this algorithm
	for i in range(0				,      10   ):
		if (i + position) % 2 == 0 and r_send is not None:
			# send your value to your right neighbor
			process_lock.acquire()
			r_send[1].send(A   )
			process_lock.release()

			# receive your right neighbor's value
			process_lock.acquire()
			UpperCAmelCase_								=     rr_cv[0].recv()
			process_lock.release()

			# take the lower value since you are on the left
			UpperCAmelCase_								=     min(A				,      A   )
		elif (i + position) % 2 != 0 and l_send is not None:
			# send your value to your left neighbor
			process_lock.acquire()
			l_send[1].send(A   )
			process_lock.release()

			# receive your left neighbor's value
			process_lock.acquire()
			UpperCAmelCase_								=     lr_cv[0].recv()
			process_lock.release()

			# take the higher value since you are on the right
			UpperCAmelCase_								=     max(A				,      A   )
    # after all swaps are performed, send the values back to main
	result_pipe[1].send(A   )




def    A_(			A   ):
	UpperCAmelCase_								=     []
	UpperCAmelCase_								=     []
	# initialize the list of pipes where the values will be retrieved
	for _ in arr:
		result_pipe.append(Pipe()   )
	# creates the processes
	# the first and last process only have one neighbor so they are made outside
	# of the loop
	UpperCAmelCase_								=     Pipe()
	UpperCAmelCase_								=     Pipe()
	process_array_.append(
	    Process(
	        target=A				,      args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])				,      )   )
	UpperCAmelCase_								=     temp_rs
	UpperCAmelCase_								=     temp_rr

	for i in range(1				,      len(A   ) - 1   ):
		UpperCAmelCase_								=     Pipe()
		UpperCAmelCase_								=     Pipe()
		process_array_.append(
		    Process(
		        target=A				,      args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i])				,      )   )
		UpperCAmelCase_								=     temp_rs
		UpperCAmelCase_								=     temp_rr

	process_array_.append(
	    Process(
	        target=A				,      args=(
	            len(A   ) - 1,
	            arr[len(A   ) - 1],
	            temp_ls,
	            None,
	            temp_lr,
	            None,
	            result_pipe[len(A   ) - 1],
	        )				,      )   )

	# start the processes
	for p in process_array_:
		p.start()

	# wait for the processes to end and write their values to the list
	for p in range(0				,      len(A   )   ):
		UpperCAmelCase_								=     result_pipe[p][0].recv()
		process_array_[p].join()
	return arr




def    A_(			):
	UpperCAmelCase_								=     list(range(10				,      0				,      -1   )   )
	print("""Initial List"""   )
	print(*A   )
	UpperCAmelCase_								=     odd_even_transposition(A   )
	print("""Sorted List\n"""   )
	print(*A   )


if __name__ == "__main__":
				main()









from dataclasses import dataclass
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import (
    BaseOutput,
    OptionalDependencyNotAvailable,
    is_flax_available,
    is_k_diffusion_available,
    is_k_diffusion_version,
    is_onnx_available,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)







@dataclass
class   _UpperCamelCase  (       A_  ):







					'''simple docstring'''

					lowerCamelCase     :     Union[List[PIL.Image.Image], np.ndarray]
					lowerCamelCase     :     Optional[List[bool]]


try:
				if not (is_transformers_available() and is_torch_available()):
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
				from .pipeline_cycle_diffusion import CycleDiffusionPipeline
				from .pipeline_stable_diffusion import StableDiffusionPipeline
				from .pipeline_stable_diffusion_attend_and_excite import StableDiffusionAttendAndExcitePipeline
				from .pipeline_stable_diffusion_imgaimg import StableDiffusionImgaImgPipeline
				from .pipeline_stable_diffusion_inpaint import StableDiffusionInpaintPipeline
				from .pipeline_stable_diffusion_inpaint_legacy import StableDiffusionInpaintPipelineLegacy
				from .pipeline_stable_diffusion_instruct_pixapix import StableDiffusionInstructPixaPixPipeline
				from .pipeline_stable_diffusion_latent_upscale import StableDiffusionLatentUpscalePipeline
				from .pipeline_stable_diffusion_ldmad import StableDiffusionLDMaDPipeline
				from .pipeline_stable_diffusion_model_editing import StableDiffusionModelEditingPipeline
				from .pipeline_stable_diffusion_panorama import StableDiffusionPanoramaPipeline
				from .pipeline_stable_diffusion_paradigms import StableDiffusionParadigmsPipeline
				from .pipeline_stable_diffusion_sag import StableDiffusionSAGPipeline
				from .pipeline_stable_diffusion_upscale import StableDiffusionUpscalePipeline
				from .pipeline_stable_unclip import StableUnCLIPPipeline
				from .pipeline_stable_unclip_imgaimg import StableUnCLIPImgaImgPipeline
				from .safety_checker import StableDiffusionSafetyChecker
				from .stable_unclip_image_normalizer import StableUnCLIPImageNormalizer

try:
				if not (is_transformers_available() and is_torch_available() and is_transformers_version(""">=""", """4.25.0""")):
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				from ...utils.dummy_torch_and_transformers_objects import StableDiffusionImageVariationPipeline
else:
				from .pipeline_stable_diffusion_image_variation import StableDiffusionImageVariationPipeline


try:
				if not (is_transformers_available() and is_torch_available() and is_transformers_version(""">=""", """4.26.0""")):
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				from ...utils.dummy_torch_and_transformers_objects import (
				    StableDiffusionDepthaImgPipeline,
				    StableDiffusionDiffEditPipeline,
				    StableDiffusionPixaPixZeroPipeline,
				)
else:
				from .pipeline_stable_diffusion_depthaimg import StableDiffusionDepthaImgPipeline
				from .pipeline_stable_diffusion_diffedit import StableDiffusionDiffEditPipeline
				from .pipeline_stable_diffusion_pixapix_zero import StableDiffusionPixaPixZeroPipeline


try:
				if not (
				    is_torch_available()
				    and is_transformers_available()
				    and is_k_diffusion_available()
				    and is_k_diffusion_version(""">=""", """0.0.12""")
				):
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				from ...utils.dummy_torch_and_transformers_and_k_diffusion_objects import *  # noqa F403
else:
				from .pipeline_stable_diffusion_k_diffusion import StableDiffusionKDiffusionPipeline

try:
				if not (is_transformers_available() and is_onnx_available()):
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				from ...utils.dummy_onnx_objects import *  # noqa F403
else:
				from .pipeline_onnx_stable_diffusion import OnnxStableDiffusionPipeline, StableDiffusionOnnxPipeline
				from .pipeline_onnx_stable_diffusion_imgaimg import OnnxStableDiffusionImgaImgPipeline
				from .pipeline_onnx_stable_diffusion_inpaint import OnnxStableDiffusionInpaintPipeline
				from .pipeline_onnx_stable_diffusion_inpaint_legacy import OnnxStableDiffusionInpaintPipelineLegacy
				from .pipeline_onnx_stable_diffusion_upscale import OnnxStableDiffusionUpscalePipeline

if is_transformers_available() and is_flax_available():
				import flax







				@flax.struct.dataclass
				class   _UpperCamelCase  (       A_  ):







									'''simple docstring'''

									lowerCamelCase     :     np.ndarray
									lowerCamelCase     :     List[bool]


				from ...schedulers.scheduling_pndm_flax import PNDMSchedulerState
				from .pipeline_flax_stable_diffusion import FlaxStableDiffusionPipeline
				from .pipeline_flax_stable_diffusion_imgaimg import FlaxStableDiffusionImgaImgPipeline
				from .pipeline_flax_stable_diffusion_inpaint import FlaxStableDiffusionInpaintPipeline
				from .safety_checker_flax import FlaxStableDiffusionSafetyChecker


