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 ):  # picklable for multiprocessing
      return i + 1


@require_dill_gt_0_3_2
@require_joblibspark
@require_not_windows
def    a__       (						):
      with parallel_backend("spark" ):
            assert ParallelBackendConfig.backend_name == "spark"

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


class      lowerCamelCase    :
  """simple docstring"""







  def __init__(							self       :				Union[str, Any]     ,   __magic_name__       :				str     ,   __magic_name__       :				str      )     ->		Dict:
        SCREAMING_SNAKE_CASE_   ,       SCREAMING_SNAKE_CASE_      =     text, pattern
        SCREAMING_SNAKE_CASE_   ,       SCREAMING_SNAKE_CASE_      =     len(__magic_name__      ), len(__magic_name__      )







  def       __A   (							self       :				List[str]     ,   __magic_name__       :				str      )     ->		int:

        for i in range(self.patLen - 1     ,   -1     ,   -1      ):
              if char == self.pattern[i]:
                    return i
        return -1







  def       __A   (							self       :				Dict     ,   __magic_name__       :				int      )     ->		int:

        for i in range(self.patLen - 1     ,   -1     ,   -1      ):
              if self.pattern[i] != self.text[current_pos + i]:
                    return current_pos + i
        return -1







  def       __A   (							self       :				Tuple      )     ->		list[int]:
        # searches pattern in text and returns index positions
        SCREAMING_SNAKE_CASE_      =     []
        for i in range(self.textLen - self.patLen + 1      ):
              SCREAMING_SNAKE_CASE_      =     self.mismatch_in_text(__magic_name__      )
              if mismatch_index == -1:
                    positions.append(__magic_name__      )
              else:
                    SCREAMING_SNAKE_CASE_      =     self.match_in_pattern(self.text[mismatch_index]      )
                    SCREAMING_SNAKE_CASE_      =     (
                        mismatch_index - match_index
                    )  # shifting index lgtm [py/multiple-definition]
        return positions



A   :     Dict       =				"ABAABA"
A   :     Union[str, Any]       =				"AB"
A   :     str       =				BoyerMooreSearch(text, pattern)
A   :     Tuple       =				bms.bad_character_heuristic()

if len(positions) == 0:
      print("No match found")
else:
      print("Pattern found in following positions: ")
      print(positions)


