






from __future__ import annotations

from collections.abc import Callable
from typing import Any, Generic, TypeVar

__a      :       Any				  =   TypeVar("T")


class       __lowercase      (	Generic[T]  ):







     '''simple docstring'''




     def __init__(				self       :			List[str] ,	UpperCamelCase_       :			list[T] ,	UpperCamelCase_       :			Callable[[T, T], T]				):


         """simple docstring"""



         __A         =	None

         __A         =	len(UpperCamelCase_				)
         __A         =	[any_type for _ in range(self.N				)] + arr
         __A         =	fnc
         self.build()




     def 		lowerCAmelCase_     (				self       :			Tuple				):


         """simple docstring"""



         for p in range(self.N - 1 ,	0 ,	-1				):
             __A         =	self.fn(self.st[p * 2] ,	self.st[p * 2 + 1]				)




     def 		lowerCAmelCase_     (				self       :			Optional[Any] ,	UpperCamelCase_       :			int ,	UpperCamelCase_       :			T				):


         """simple docstring"""



         p += self.N
         __A         =	v
         while p > 1:
             __A         =	p // 2
             __A         =	self.fn(self.st[p * 2] ,	self.st[p * 2 + 1]				)





     def 		lowerCAmelCase_     (				self       :			Optional[Any] ,	UpperCamelCase_       :			int ,	UpperCamelCase_       :			int				):  # noqa: E741


         """simple docstring"""



         __A    ,	__A         =	l + self.N, r + self.N

         __A         =	None
         while l <= r:
             if l % 2 == 1:
                 __A         =	self.st[l] if res is None else self.fn(UpperCamelCase_ ,	self.st[l]				)
             if r % 2 == 0:
                 __A         =	self.st[r] if res is None else self.fn(UpperCamelCase_ ,	self.st[r]				)
             __A    ,	__A         =	(l + 1) // 2, (r - 1) // 2
         return res


if __name__ == "__main__":
  from functools import reduce

  __a      :       str				  =   [1, 10, -2, 9, -3, 8, 4, -7, 5, 6, 11, -12]

  __a      :       Dict				  =   {
      0: 7,
      1: 2,
      2: 6,
      3: -14,
      4: 5,
      5: 4,
      6: 7,
      7: -10,
      8: 9,
      9: 10,
      10: 12,
      11: 1,
  }

  __a      :       Tuple				  =   SegmentTree(test_array, min)
  __a      :       List[str]				  =   SegmentTree(test_array, max)
  __a      :       Optional[Any]				  =   SegmentTree(test_array, lambda a, b: a + b)



  def 			_SCREAMING_SNAKE_CASE						( )						->      None:





      """simple docstring"""

      for i in range(len(__lowercase    )    ):
          for j in range(__lowercase			,				len(__lowercase    )    ):
              __A         =	reduce(__lowercase			,				test_array[i : j + 1]    )
              __A         =	reduce(__lowercase			,				test_array[i : j + 1]    )
              __A         =	reduce(lambda __lowercase			,				__lowercase    : a + b			,				test_array[i : j + 1]    )
              assert min_range == min_segment_tree.query(__lowercase			,				__lowercase    )
              assert max_range == max_segment_tree.query(__lowercase			,				__lowercase    )
              assert sum_range == sum_segment_tree.query(__lowercase			,				__lowercase    )

  test_all_segments()

  for index, value in test_updates.items():
    __a      :       str				  =   value
    min_segment_tree.update(index, value)
    max_segment_tree.update(index, value)
    sum_segment_tree.update(index, value)
    test_all_segments()












import os

import pytest

from datasets import (
    get_dataset_config_info,
    get_dataset_config_names,
    get_dataset_infos,
    get_dataset_split_names,
    inspect_dataset,
    inspect_metric,
)


__a      :       List[str]				  =   pytest.mark.integration



@pytest.mark.parametrize("""path"""			,				["""paws""", """csv"""]    )
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			List[Any]			,				__lowercase   :			Optional[int]    )						->      Tuple:





    """simple docstring"""

    inspect_dataset(__lowercase			,				__lowercase    )
    __A         =	path + """.py"""
    assert script_name in os.listdir(__lowercase    )
    assert "__pycache__" not in os.listdir(__lowercase    )



@pytest.mark.filterwarnings("""ignore:inspect_metric is deprecated:FutureWarning"""    )
@pytest.mark.filterwarnings("""ignore:metric_module_factory is deprecated:FutureWarning"""    )
@pytest.mark.parametrize("""path"""			,				["""accuracy"""]    )
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Optional[int]			,				__lowercase   :			Tuple    )						->      Any:





    """simple docstring"""

    inspect_metric(__lowercase			,				__lowercase    )
    __A         =	path + """.py"""
    assert script_name in os.listdir(__lowercase    )
    assert "__pycache__" not in os.listdir(__lowercase    )



@pytest.mark.parametrize(
    """path, config_name, expected_splits"""			,				[
        ("""squad""", """plain_text""", ["""train""", """validation"""]),
        ("""dalle-mini/wit""", """dalle-mini--wit""", ["""train"""]),
        ("""paws""", """labeled_final""", ["""train""", """test""", """validation"""]),
    ]			,				)
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Dict			,				__lowercase   :			Optional[int]			,				__lowercase   :			List[Any]    )						->      Optional[Any]:





    """simple docstring"""

    __A         =	get_dataset_config_info(__lowercase			,				config_name=__lowercase    )
    assert info.config_name == config_name
    assert list(info.splits.keys()    ) == expected_splits



@pytest.mark.parametrize(
    """path, config_name, expected_exception"""			,				[
        ("""paws""", None, ValueError),
    ]			,				)
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			List[Any]			,				__lowercase   :			int			,				__lowercase   :			List[str]    )						->      int:





    """simple docstring"""

    with pytest.raises(__lowercase    ):
        get_dataset_config_info(__lowercase			,				config_name=__lowercase    )



@pytest.mark.parametrize(
    """path, expected"""			,				[
        ("""squad""", """plain_text"""),
        ("""acronym_identification""", """default"""),
        ("""lhoestq/squad""", """plain_text"""),
        ("""lhoestq/test""", """default"""),
        ("""lhoestq/demo1""", """lhoestq--demo1"""),
        ("""dalle-mini/wit""", """dalle-mini--wit"""),
    ]			,				)
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Tuple			,				__lowercase   :			Optional[Any]    )						->      Any:





    """simple docstring"""

    __A         =	get_dataset_config_names(__lowercase    )
    assert expected in config_names



@pytest.mark.parametrize(
    """path, expected_configs, expected_splits_in_first_config"""			,				[
        ("""squad""", ["""plain_text"""], ["""train""", """validation"""]),
        ("""dalle-mini/wit""", ["""dalle-mini--wit"""], ["""train"""]),
        ("""paws""", ["""labeled_final""", """labeled_swap""", """unlabeled_final"""], ["""train""", """test""", """validation"""]),
    ]			,				)
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			int			,				__lowercase   :			Tuple			,				__lowercase   :			List[Any]    )						->      List[str]:





    """simple docstring"""

    __A         =	get_dataset_infos(__lowercase    )
    assert list(infos.keys()    ) == expected_configs
    __A         =	expected_configs[0]
    assert expected_config in infos
    __A         =	infos[expected_config]
    assert info.config_name == expected_config
    assert list(info.splits.keys()    ) == expected_splits_in_first_config



@pytest.mark.parametrize(
    """path, expected_config, expected_splits"""			,				[
        ("""squad""", """plain_text""", ["""train""", """validation"""]),
        ("""dalle-mini/wit""", """dalle-mini--wit""", ["""train"""]),
        ("""paws""", """labeled_final""", ["""train""", """test""", """validation"""]),
    ]			,				)
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			Optional[int]			,				__lowercase   :			str			,				__lowercase   :			Union[str, Any]    )						->      Dict:





    """simple docstring"""

    __A         =	get_dataset_infos(__lowercase    )
    assert expected_config in infos
    __A         =	infos[expected_config]
    assert info.config_name == expected_config
    assert list(info.splits.keys()    ) == expected_splits






@pytest.mark.parametrize(
    """path, config_name, expected_exception"""			,				[
        ("""paws""", None, ValueError),
    ]			,				)
def 			_SCREAMING_SNAKE_CASE						( __lowercase   :			List[str]			,				__lowercase   :			Optional[int]			,				__lowercase   :			Tuple    )						->      Union[str, Any]:





    """simple docstring"""

    with pytest.raises(__lowercase    ):
        get_dataset_split_names(__lowercase			,				config_name=__lowercase    )




