




from multiprocessing import Lock, Pipe, Process

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







def        lowerCAmelCase_			(  snake_case_,snake_case_,snake_case_,snake_case_,snake_case_,snake_case_,snake_case_  ):
      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							:  Dict    =		rr_cv[0].recv()
                  process_lock.release()

                  # take the lower value since you are on the left
                  _A							:  int    =		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[Any]    =		lr_cv[0].recv()
                  process_lock.release()

                  # take the higher value since you are on the right
                  _A							:  List[Any]    =		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_  ):
      _A							:  Union[str, Any]    =		[]
      _A							:  List[str]    =		[]
      # 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							:  List[Any]    =		Pipe()
      _A							:  Any    =		Pipe()
      process_array_.append(
          Process(
              target=snake_case_,args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0]),)  )
      _A							:  Tuple    =		temp_rs
      _A							:  str    =		temp_rr

      for i in range(1,len(snake_case_  ) - 1  ):
            _A							:  Union[str, Any]    =		Pipe()
            _A							:  Union[str, Any]    =		Pipe()
            process_array_.append(
                Process(
                    target=snake_case_,args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i]),)  )
            _A							:  int    =		temp_rs
            _A							:  Union[str, 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							:  Optional[int]    =		result_pipe[p][0].recv()
            process_array_[p].join()
      return arr







def        lowerCAmelCase_			(  ):
      _A							:  int    =		list(range(10,0,-1  )  )
      print("""Initial List"""  )
      print(*snake_case_  )
      _A							:  Tuple    =		odd_even_transposition(snake_case_  )
      print("""Sorted List\n"""  )
      print(*snake_case_  )


if __name__ == "__main__":
  main()







from unittest import TestCase

from datasets import Sequence, Value
from datasets.arrow_dataset import Dataset







class 		lowercase							(     UpperCamelCase__	):

     def       a__			(						self       )		->							Optional[int]:
           return [
               {"col_1": 3, "col_2": "a"},
               {"col_1": 2, "col_2": "b"},
               {"col_1": 1, "col_2": "c"},
               {"col_1": 0, "col_2": "d"},
           ]

     def       a__			(						self       )		->							Optional[int]:
           _A							:  Union[str, Any]    =		{"""col_1""": [3, 2, 1, 0], """col_2""": ["""a""", """b""", """c""", """d"""]}
           return Dataset.from_dict(_a       )

     def       a__			(						self       )		->							Any:
           _A							:  str    =		self._create_example_records()
           _A							:  List[Any]    =		Dataset.from_list(_a       )
           self.assertListEqual(dset.column_names	,  ["""col_1""", """col_2"""]       )
           for i, r in enumerate(_a       ):
                 self.assertDictEqual(_a	,  example_records[i]       )

     def       a__			(						self       )		->							List[str]:
           _A							:  Dict    =		self._create_example_records()
           _A							:  List[str]    =		Dataset.from_list(_a       )
           _A							:  str    =		Dataset.from_dict({k: [r[k] for r in example_records] for k in example_records[0]}       )
           self.assertEqual(dset.info	,  dset_from_dict.info       )

     def       a__			(						self       )		->							str:  # checks what happens with missing columns
           _A							:  List[str]    =		[{"""col_1""": 1}, {"""col_2""": """x"""}]
           _A							:  List[str]    =		Dataset.from_list(_a       )
           self.assertDictEqual(dset[0]	,  {"""col_1""": 1}       )
           self.assertDictEqual(dset[1]	,  {"""col_1""": None}       )  # NB: first record is used for columns

     def       a__			(						self       )		->							Dict:  # checks if the type can be inferred from the second record
           _A							:  List[Any]    =		[{"""col_1""": []}, {"""col_1""": [1, 2]}]
           _A							:  str    =		Dataset.from_list(_a       )
           self.assertEqual(dset.info.features["""col_1"""]	,  Sequence(Value("""int64"""       )       )       )



     def       a__			(						self       )		->							Dict:
           _A							:  List[str]    =		Dataset.from_list([]       )
           self.assertEqual(len(_a       )	,  0       )
           self.assertListEqual(dset.column_names	,  []       )

