



'''simple docstring'''
from typing import List

import numpy as np






def A__    (     UpperCAmelCase_							):
						_UpperCamelCase					:		Optional[Any] 				=   {key: len(UpperCAmelCase_							) for key, value in gen_kwargs.items() if isinstance(UpperCAmelCase_  ,  UpperCAmelCase_							)}
						if len(set(lists_lengths.values()							)							) > 1:
												raise RuntimeError(
												    (
												        'Sharding is ambiguous for this dataset: '
												        + 'we found several data sources lists of different lengths, and we don\'t know over which list we should parallelize:\n'
												        + '\n'.join(f'\t- key {key} has length {length}' for key, length in lists_lengths.items()							)
												        + '\nTo fix this, check the \'gen_kwargs\' and make sure to use lists only for data sources, '
												        + 'and use tuples otherwise. In the end there should only be one single list, or several lists with the same length.'
												    )							)
						_UpperCamelCase					:		Union[str, Any] 				=   max(lists_lengths.values()  ,  default=0							)
						return max(1  ,  UpperCAmelCase_							)






def A__    (     UpperCAmelCase_  ,  UpperCAmelCase_							):
						_UpperCamelCase					:		Dict 				=   []
						for group_idx in range(UpperCAmelCase_							):
												_UpperCamelCase					:		Tuple 				=   num_shards // max_num_jobs + (group_idx < (num_shards % max_num_jobs))
												if num_shards_to_add == 0:
																		break
												_UpperCamelCase					:		Union[str, Any] 				=   shards_indices_per_group[-1].stop if shards_indices_per_group else 0
												_UpperCamelCase					:		Union[str, Any] 				=   range(UpperCAmelCase_  ,  start + num_shards_to_add							)
												shards_indices_per_group.append(UpperCAmelCase_							)
						return shards_indices_per_group






def A__    (     UpperCAmelCase_  ,  UpperCAmelCase_							):
						_UpperCamelCase					:		List[str] 				=   _number_of_shards_in_gen_kwargs(UpperCAmelCase_							)
						if num_shards == 1:
												return [dict(UpperCAmelCase_							)]
						else:
												_UpperCamelCase					:		str 				=   _distribute_shards(num_shards=UpperCAmelCase_  ,  max_num_jobs=UpperCAmelCase_							)
												return [
												    {
												        key: [value[shard_idx] for shard_idx in shard_indices_per_group[group_idx]]
												        if isinstance(UpperCAmelCase_  ,  UpperCAmelCase_							)
												        else value
												        for key, value in gen_kwargs.items()
												    }
												    for group_idx in range(len(UpperCAmelCase_							)							)
												]






def A__    (     UpperCAmelCase_							):
						return {
						    key: [value for gen_kwargs in gen_kwargs_list for value in gen_kwargs[key]]
						    if isinstance(gen_kwargs_list[0][key]  ,  UpperCAmelCase_							)
						    else gen_kwargs_list[0][key]
						    for key in gen_kwargs_list[0]
						}






def A__    (     UpperCAmelCase_  ,  UpperCAmelCase_							):
						_UpperCamelCase					:		Optional[Any] 				=   {len(UpperCAmelCase_							) for value in gen_kwargs.values() if isinstance(UpperCAmelCase_  ,  UpperCAmelCase_							)}
						_UpperCamelCase					:		Tuple 				=   {}
						for size in list_sizes:
												_UpperCamelCase					:		str 				=   list(range(UpperCAmelCase_							)							)
												rng.shuffle(indices_per_size[size]							)
						# Now let's copy the gen_kwargs and shuffle the lists based on their sizes
						_UpperCamelCase					:		Tuple 				=   dict(UpperCAmelCase_							)
						for key, value in shuffled_kwargs.items():
												if isinstance(UpperCAmelCase_  ,  UpperCAmelCase_							):
																		_UpperCamelCase					:		Tuple 				=   [value[i] for i in indices_per_size[len(UpperCAmelCase_							)]]
						return shuffled_kwargs









"""simple docstring"""





from multiprocessing import Lock, Pipe, Process

# lock used to ensure that two processes do not access a pipe at the same time
__A											=		Lock()
def  __A   (_SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE			)					->List[Any]:





  """simple docstring"""


  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(_SCREAMING_SNAKE_CASE			)
      process_lock.release()

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

      # take the lower value since you are on the left
      lowerCAmelCase__			:Tuple											=							min(_SCREAMING_SNAKE_CASE     ,   _SCREAMING_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(_SCREAMING_SNAKE_CASE			)
      process_lock.release()

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

      # take the higher value since you are on the right
      lowerCAmelCase__			:Optional[int]											=							max(_SCREAMING_SNAKE_CASE     ,   _SCREAMING_SNAKE_CASE			)
    # after all swaps are performed, send the values back to main
  result_pipe[1].send(_SCREAMING_SNAKE_CASE			)
def  __A   (_SCREAMING_SNAKE_CASE			)					->Optional[int]:





  """simple docstring"""


  lowerCAmelCase__			:str											=							[]
  lowerCAmelCase__			:Optional[Any]											=							[]
  # 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
  lowerCAmelCase__			:List[str]											=							Pipe()
  lowerCAmelCase__			:List[Any]											=							Pipe()
  process_array_.append(
      Process(
          target=_SCREAMING_SNAKE_CASE     ,   args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])     ,   )			)
  lowerCAmelCase__			:Dict											=							temp_rs
  lowerCAmelCase__			:Optional[Any]											=							temp_rr

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

  process_array_.append(
      Process(
          target=_SCREAMING_SNAKE_CASE     ,   args=(
              len(_SCREAMING_SNAKE_CASE			) - 1,
              arr[len(_SCREAMING_SNAKE_CASE			) - 1],
              temp_ls,
              None,
              temp_lr,
              None,
              result_pipe[len(_SCREAMING_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(_SCREAMING_SNAKE_CASE			)			):
    lowerCAmelCase__			:str											=							result_pipe[p][0].recv()
    process_array_[p].join()
  return arr
def  __A   ()					->List[Any]:





  """simple docstring"""


  lowerCAmelCase__			:Union[str, Any]											=							list(range(10     ,   0     ,   -1			)			)
  print('Initial List'			)
  print(*_SCREAMING_SNAKE_CASE			)
  lowerCAmelCase__			:List[str]											=							odd_even_transposition(_SCREAMING_SNAKE_CASE			)
  print('Sorted List\n'			)
  print(*_SCREAMING_SNAKE_CASE			)


if __name__ == "__main__":
  main()
