





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    __lowerCamelCase					(							__a   :Optional[Any]    )		->				str:  # picklable for multiprocessing






		"""simple docstring"""

		return i + 1







@require_dill_gt_0_3_2
@require_joblibspark
@require_not_windows
def    __lowerCamelCase					(							)		->				Dict:






		"""simple docstring"""

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

		A__        =   [1, 2, 3]
		with pytest.raises(__a    ):
				with parallel_backend("""unsupported backend"""    ):
						map_nested(__a    ,     __a    ,     num_proc=2    )

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







@require_dill_gt_0_3_2
@require_joblibspark
@require_not_windows
@pytest.mark.parametrize("""num_proc"""    ,     [2, -1]    )
def    __lowerCamelCase					(							__a   :str    )		->				Tuple:






		"""simple docstring"""

		A__        =   [1, 2]
		A__        =   {"""a""": 1, """b""": 2}
		A__        =   {"""a""": [1, 2], """b""": [3, 4]}
		A__        =   {"""a""": {"""1""": 1}, """b""": 2}
		A__        =   {"""a""": 1, """b""": 2, """c""": 3, """d""": 4}
		A__        =   [2, 3]
		A__        =   {"""a""": 2, """b""": 3}
		A__        =   {"""a""": [2, 3], """b""": [4, 5]}
		A__        =   {"""a""": {"""1""": 2}, """b""": 3}
		A__        =   {"""a""": 2, """b""": 3, """c""": 4, """d""": 5}

		with parallel_backend("""spark"""    ):
				assert map_nested(__a    ,     __a    ,     num_proc=__a    ) == expected_map_nested_sa
				assert map_nested(__a    ,     __a    ,     num_proc=__a    ) == expected_map_nested_sa
				assert map_nested(__a    ,     __a    ,     num_proc=__a    ) == expected_map_nested_sa
				assert map_nested(__a    ,     __a    ,     num_proc=__a    ) == expected_map_nested_sa
				assert map_nested(__a    ,     __a    ,     num_proc=__a    ) == expected_map_nested_sa










class   A			(SCREAMING_SNAKE_CASE    ):
			'''simple docstring'''




			pass


class   A			(SCREAMING_SNAKE_CASE    ):
			'''simple docstring'''




			pass


class   A			:
			'''simple docstring'''




			def __init__(			self   :    List[Any]   )	->	str:







					"""simple docstring"""






					A__        =   [
					    [],
					    [],
					    [],
					]






			def    a_       (			self   :    Dict							,	__lowerCAmelCase   :    int							,	__lowerCAmelCase   :    int   )	->	None:







					"""simple docstring"""






					try:
							if len(self.queues[priority]   ) >= 1_00:
									raise OverflowError("""Maximum queue size is 100"""   )
							self.queues[priority].append(__lowerCAmelCase   )
					except IndexError:
							raise ValueError("""Valid priorities are 0, 1, and 2"""   )






			def    a_       (			self   :    Optional[Any]   )	->	int:







					"""simple docstring"""






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







			def __str__(			self   :    Tuple   )	->	str:







					"""simple docstring"""






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


class   A			:
			'''simple docstring'''




			def __init__(			self   :    int   )	->	str:







					"""simple docstring"""






					A__        =   []






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







					"""simple docstring"""






					if len(self.queue   ) == 1_00:
							raise OverFlowError("""Maximum queue size is 100"""   )
					self.queue.append(__lowerCAmelCase   )






			def    a_       (			self   :    List[str]   )	->	int:







					"""simple docstring"""






					if not self.queue:
							raise UnderFlowError("""The queue is empty"""   )
					else:
							A__        =   min(self.queue   )
							self.queue.remove(__lowerCAmelCase   )
							return data







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







					"""simple docstring"""






					return str(self.queue   )







def    __lowerCamelCase					(							)		->				Optional[Any]:






		"""simple docstring"""

		A__        =   FixedPriorityQueue()
		fpq.enqueue(0    ,     1_0    )
		fpq.enqueue(1    ,     7_0    )
		fpq.enqueue(0    ,     1_0_0    )
		fpq.enqueue(2    ,     1    )
		fpq.enqueue(2    ,     5    )
		fpq.enqueue(1    ,     7    )
		fpq.enqueue(2    ,     4    )
		fpq.enqueue(1    ,     6_4    )
		fpq.enqueue(0    ,     1_2_8    )
		print(__a    )
		print(fpq.dequeue()    )
		print(fpq.dequeue()    )
		print(fpq.dequeue()    )
		print(fpq.dequeue()    )
		print(fpq.dequeue()    )
		print(__a    )
		print(fpq.dequeue()    )
		print(fpq.dequeue()    )
		print(fpq.dequeue()    )
		print(fpq.dequeue()    )
		print(fpq.dequeue()    )







def    __lowerCamelCase					(							)		->				int:






		"""simple docstring"""

		A__        =   ElementPriorityQueue()
		epq.enqueue(1_0    )
		epq.enqueue(7_0    )
		epq.enqueue(1_0_0    )
		epq.enqueue(1    )
		epq.enqueue(5    )
		epq.enqueue(7    )
		epq.enqueue(4    )
		epq.enqueue(6_4    )
		epq.enqueue(1_2_8    )
		print(__a    )
		print(epq.dequeue()    )
		print(epq.dequeue()    )
		print(epq.dequeue()    )
		print(epq.dequeue()    )
		print(epq.dequeue()    )
		print(__a    )
		print(epq.dequeue()    )
		print(epq.dequeue()    )
		print(epq.dequeue()    )
		print(epq.dequeue()    )
		print(epq.dequeue()    )


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



