




'''simple docstring'''




from multiprocessing import Lock, Pipe, Process

# lock used to ensure that two processes do not access a pipe at the same time
lowercase__   :				str      =   Lock()






def 	_lowerCAmelCase      (  __snake_case  :			Dict			,							__snake_case  :			Union[str, Any]			,							__snake_case  :			int			,							__snake_case  :			List[Any]			,							__snake_case  :			Optional[Any]			,							__snake_case  :			Any			,							__snake_case  :			int      )					->					Union[str, Any]:
     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(__snake_case      )
               process_lock.release()

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

               # take the lower value since you are on the left
               __A						:			Union[str, Any]								=	min(__snake_case			,							__snake_case      )
          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(__snake_case      )
               process_lock.release()

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

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






def 	_lowerCAmelCase      (  __snake_case  :			Union[str, Any]      )					->					Any:
     __A						:			int								=	[]
     __A						:			Tuple								=	[]
     # 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
     __A						:			Dict								=	Pipe()
     __A						:			Optional[int]								=	Pipe()
     process_array_.append(
         Process(
             target=__snake_case			,							args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])			,							)      )
     __A						:			Any								=	temp_rs
     __A						:			List[Any]								=	temp_rr

     for i in range(1			,							len(__snake_case      ) - 1      ):
          __A						:			Optional[Any]								=	Pipe()
          __A						:			int								=	Pipe()
          process_array_.append(
              Process(
                  target=__snake_case			,							args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i])			,							)      )
          __A						:			str								=	temp_rs
          __A						:			List[Any]								=	temp_rr

     process_array_.append(
         Process(
             target=__snake_case			,							args=(
                 len(__snake_case      ) - 1,
                 arr[len(__snake_case      ) - 1],
                 temp_ls,
                 None,
                 temp_lr,
                 None,
                 result_pipe[len(__snake_case      ) - 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(__snake_case      )      ):
          __A						:			Tuple								=	result_pipe[p][0].recv()
          process_array_[p].join()
     return arr






def 	_lowerCAmelCase      (  )					->					List[str]:
     __A						:			Optional[int]								=	list(range(10			,							0			,							-1      )      )
     print('Initial List'      )
     print(*__snake_case      )
     __A						:			Union[str, Any]								=	odd_even_transposition(__snake_case      )
     print('Sorted List\n'      )
     print(*__snake_case      )


if __name__ == "__main__":
  main()






'''simple docstring'''




from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
  if not (is_transformers_available() and is_torch_available()):
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  from ...utils.dummy_torch_and_transformers_objects import ShapEPipeline
else:
  from .camera import create_pan_cameras
  from .pipeline_shap_e import ShapEPipeline
  from .pipeline_shap_e_img2img import ShapEImgaImgPipeline
  from .renderer import (
      BoundingBoxVolume,
      ImportanceRaySampler,
      MLPNeRFModelOutput,
      MLPNeRSTFModel,
      ShapEParamsProjModel,
      ShapERenderer,
      StratifiedRaySampler,
      VoidNeRFModel,
  )