



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    (							__UpperCamelCase       )    ->   Optional[int]:  # picklable for multiprocessing
			return i + 1


@require_dill_gt_0_3_2
@require_joblibspark
@require_not_windows
def A    (							)    ->   Tuple:
			with parallel_backend('spark'       ):
						assert ParallelBackendConfig.backend_name == "spark"

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

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






@require_dill_gt_0_3_2
@require_joblibspark
@require_not_windows
@pytest.mark.parametrize('num_proc'			,						[2, -1]       )
def A    (							__UpperCamelCase       )    ->   Optional[Any]:
			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(__UpperCamelCase			,						__UpperCamelCase			,						num_proc=__UpperCamelCase       ) == expected_map_nested_sa
						assert map_nested(__UpperCamelCase			,						__UpperCamelCase			,						num_proc=__UpperCamelCase       ) == expected_map_nested_sa
						assert map_nested(__UpperCamelCase			,						__UpperCamelCase			,						num_proc=__UpperCamelCase       ) == expected_map_nested_sa
						assert map_nested(__UpperCamelCase			,						__UpperCamelCase			,						num_proc=__UpperCamelCase       ) == expected_map_nested_sa
						assert map_nested(__UpperCamelCase			,						__UpperCamelCase			,						num_proc=__UpperCamelCase       ) == expected_map_nested_sa






from __future__ import annotations
def 							SCREAMING_SNAKE_CASE_	(					UpperCAmelCase_	:     list[int | float]			,							UpperCAmelCase_	:     int			,							UpperCAmelCase_	:     int				)			->						int | float:
       if len(UpperCAmelCase_				) == 0:
              raise ValueError('''find_max() arg is an empty sequence'''				)
       if (
           left >= len(UpperCAmelCase_				)
           or left < -len(UpperCAmelCase_				)
           or right >= len(UpperCAmelCase_				)
           or right < -len(UpperCAmelCase_				)
       ):
              raise IndexError('''list index out of range'''				)
       if left == right:
              return nums[left]
       SCREAMING_SNAKE_CASE_							:				Optional[int]		=(left + right) >> 1  # the middle
       SCREAMING_SNAKE_CASE_							:				Dict		=find_max(UpperCAmelCase_			,							UpperCAmelCase_			,							UpperCAmelCase_				)  # find max in range[left, mid]
       SCREAMING_SNAKE_CASE_							:				Dict		=find_max(UpperCAmelCase_			,							mid + 1			,							UpperCAmelCase_				)  # find max in range[mid + 1, right]

       return left_max if left_max >= right_max else right_max


if __name__ == "__main__":
 import doctest

 doctest.testmod(verbose=True)
