import pytest

from datasets.parallel import ParallelBackendConfig, parallel_backend
from datasets.utils.py_utils import map_nested

from .utils import require_dill_gt_0_3_2, require_joblibspark, require_not_windows







def     _a				(      lowercase__  :			Tuple ):  # picklable for multiprocessing







     '''simple docstring'''


     return i + 1







@require_dill_gt_0_3_2
@require_joblibspark
@require_not_windows
def     _a				(      ):







     '''simple docstring'''


     with parallel_backend('spark' ):
          assert ParallelBackendConfig.backend_name == "spark"

     SCREAMING_SNAKE_CASE__				:				int			=		[1, 2, 3]
     with pytest.raises(lowercase__ ):
          with parallel_backend('unsupported backend' ):
               map_nested(lowercase__     ,  lowercase__     ,  num_proc=2 )

     with pytest.raises(lowercase__ ):
          with parallel_backend('unsupported backend' ):
               map_nested(lowercase__     ,  lowercase__     ,  num_proc=-1 )







@require_dill_gt_0_3_2
@require_joblibspark
@require_not_windows
@pytest.mark.parametrize('num_proc'     ,  [2, -1] )
def     _a				(      lowercase__  :			Union[str, Any] ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				List[str]			=		[1, 2]
     SCREAMING_SNAKE_CASE__				:				Any			=		{'a': 1, 'b': 2}
     SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		{'a': [1, 2], 'b': [3, 4]}
     SCREAMING_SNAKE_CASE__				:				Optional[int]			=		{'a': {'1': 1}, 'b': 2}
     SCREAMING_SNAKE_CASE__				:				List[str]			=		{'a': 1, 'b': 2, 'c': 3, 'd': 4}
     SCREAMING_SNAKE_CASE__				:				List[str]			=		[2, 3]
     SCREAMING_SNAKE_CASE__				:				Dict			=		{'a': 2, 'b': 3}
     SCREAMING_SNAKE_CASE__				:				List[Any]			=		{'a': [2, 3], 'b': [4, 5]}
     SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		{'a': {'1': 2}, 'b': 3}
     SCREAMING_SNAKE_CASE__				:				int			=		{'a': 2, 'b': 3, 'c': 4, 'd': 5}

     with parallel_backend('spark' ):
          assert map_nested(lowercase__     ,  lowercase__     ,  num_proc=lowercase__ ) == expected_map_nested_sa
          assert map_nested(lowercase__     ,  lowercase__     ,  num_proc=lowercase__ ) == expected_map_nested_sa
          assert map_nested(lowercase__     ,  lowercase__     ,  num_proc=lowercase__ ) == expected_map_nested_sa
          assert map_nested(lowercase__     ,  lowercase__     ,  num_proc=lowercase__ ) == expected_map_nested_sa
          assert map_nested(lowercase__     ,  lowercase__     ,  num_proc=lowercase__ ) == expected_map_nested_sa




class       snake_case					(      UpperCamelCase_						):
  pass




class       snake_case					(      UpperCamelCase_						):
  pass




class       snake_case					:




  def __init__(      self     :	Union[str, Any]				)->       Tuple:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				int			=		[
           [],
           [],
           [],
       ]




  def 	__lowercase(      self     :	int     , a_     :	int     , a_     :	int				)->       None:




       """simple docstring"""
       try:
            if len(self.queues[priority]				) >= 100:
                 raise OverflowError('Maximum queue size is 100'				)
            self.queues[priority].append(a_				)
       except IndexError:
            raise ValueError('Valid priorities are 0, 1, and 2'				)




  def 	__lowercase(      self     :	int				)->       int:




       """simple docstring"""
       for queue in self.queues:
            if queue:
                 return queue.pop(0				)
       raise UnderFlowError('All queues are empty'				)




  def __str__(      self     :	Any				)->       str:




       """simple docstring"""
       return "\n".join(F'''Priority {i}: {q}''' for i, q in enumerate(self.queues				)				)




class       snake_case					:




  def __init__(      self     :	Union[str, Any]				)->       Dict:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		[]




  def 	__lowercase(      self     :	List[str]     , a_     :	int				)->       None:




       """simple docstring"""
       if len(self.queue				) == 100:
            raise OverFlowError('Maximum queue size is 100'				)
       self.queue.append(a_				)




  def 	__lowercase(      self     :	int				)->       int:




       """simple docstring"""
       if not self.queue:
            raise UnderFlowError('The queue is empty'				)
       else:
            SCREAMING_SNAKE_CASE__				:				Optional[int]			=		min(self.queue				)
            self.queue.remove(a_				)
            return data




  def __str__(      self     :	List[str]				)->       str:




       """simple docstring"""
       return str(self.queue				)







def     _a				(      ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				int			=		FixedPriorityQueue()
     fpq.enqueue(0     ,  10 )
     fpq.enqueue(1     ,  70 )
     fpq.enqueue(0     ,  1_00 )
     fpq.enqueue(2     ,  1 )
     fpq.enqueue(2     ,  5 )
     fpq.enqueue(1     ,  7 )
     fpq.enqueue(2     ,  4 )
     fpq.enqueue(1     ,  64 )
     fpq.enqueue(0     ,  1_28 )
     print(lowercase__ )
     print(fpq.dequeue() )
     print(fpq.dequeue() )
     print(fpq.dequeue() )
     print(fpq.dequeue() )
     print(fpq.dequeue() )
     print(lowercase__ )
     print(fpq.dequeue() )
     print(fpq.dequeue() )
     print(fpq.dequeue() )
     print(fpq.dequeue() )
     print(fpq.dequeue() )







def     _a				(      ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				Dict			=		ElementPriorityQueue()
     epq.enqueue(10 )
     epq.enqueue(70 )
     epq.enqueue(1_00 )
     epq.enqueue(1 )
     epq.enqueue(5 )
     epq.enqueue(7 )
     epq.enqueue(4 )
     epq.enqueue(64 )
     epq.enqueue(1_28 )
     print(lowercase__ )
     print(epq.dequeue() )
     print(epq.dequeue() )
     print(epq.dequeue() )
     print(epq.dequeue() )
     print(epq.dequeue() )
     print(lowercase__ )
     print(epq.dequeue() )
     print(epq.dequeue() )
     print(epq.dequeue() )
     print(epq.dequeue() )
     print(epq.dequeue() )


if __name__ == "__main__":
      fixed_priority_queue()
      element_priority_queue()



