


from __future__ import annotations

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

A			:						Optional[int]        =  TypeVar('T')



class 				A       (			Generic[T]				):
					'''simple docstring'''






					def __init__(self       :		int ,   _UpperCAmelCase       :		list[T] ,   _UpperCAmelCase       :		Callable[[T, T], T]						)		->  None:




							"""simple docstring"""


							lowercase__	     =						None

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

					def     lowerCamelCase__	(self       :		Dict						)		->  None:




							"""simple docstring"""


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

					def     lowerCamelCase__	(self       :		Optional[Any] ,   _UpperCAmelCase       :		int ,   _UpperCAmelCase       :		T						)		->  None:




							"""simple docstring"""


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


					def     lowerCamelCase__	(self       :		Any ,   _UpperCAmelCase       :		int ,   _UpperCAmelCase       :		int						)		->  T | None:  # noqa: E741




							"""simple docstring"""


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

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


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

	A			:						str        =  [1, 1_0, -2, 9, -3, 8, 4, -7, 5, 6, 1_1, -1_2]

	A			:						List[Any]        =  {
	    0: 7,
	    1: 2,
	    2: 6,
	    3: -1_4,
	    4: 5,
	    5: 4,
	    6: 7,
	    7: -1_0,
	    8: 9,
	    9: 1_0,
	    1_0: 1_2,
	    1_1: 1,
	}

	A			:						Optional[int]        =  SegmentTree(test_array, min)
	A			:						Tuple        =  SegmentTree(test_array, max)
	A			:						Union[str, Any]        =  SegmentTree(test_array, lambda a, b: a + b)






	def 					UpperCamelCase   (      )  ->    None:
			"""simple docstring"""




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

	test_all_segments()

	for index, value in test_updates.items():
		A			:						Optional[Any]        =  value
		min_segment_tree.update(index, value)
		max_segment_tree.update(index, value)
		sum_segment_tree.update(index, value)
		test_all_segments()





from typing import Optional

from .. import Features, NamedSplit
from ..packaged_modules.text.text import Text
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader



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






					def __init__(self       :		Any ,   _UpperCAmelCase       :		NestedDataStructureLike[PathLike] ,   _UpperCAmelCase       :		Optional[NamedSplit] = None ,   _UpperCAmelCase       :		Optional[Features] = None ,   _UpperCAmelCase       :		str = None ,   _UpperCAmelCase       :		bool = False ,   _UpperCAmelCase       :		bool = False ,   _UpperCAmelCase       :		Optional[int] = None ,   **_UpperCAmelCase       :		Optional[int] ,   )		->  List[str]:




							"""simple docstring"""


							super().__init__(
							    _UpperCAmelCase ,   split=_UpperCAmelCase ,   features=_UpperCAmelCase ,   cache_dir=_UpperCAmelCase ,   keep_in_memory=_UpperCAmelCase ,   streaming=_UpperCAmelCase ,   num_proc=_UpperCAmelCase ,   **_UpperCAmelCase ,   )
							lowercase__	     =						path_or_paths if isinstance(_UpperCAmelCase ,   _UpperCAmelCase						) else {self.split: path_or_paths}
							lowercase__	     =						Text(
							    cache_dir=_UpperCAmelCase ,   data_files=_UpperCAmelCase ,   features=_UpperCAmelCase ,   **_UpperCAmelCase ,   )


					def     lowerCamelCase__	(self       :		Tuple						)		->  Any:




							"""simple docstring"""


							if self.streaming:
									lowercase__	     =						self.builder.as_streaming_dataset(split=self.split						)
							# Build regular (map-style) dataset
							else:
									lowercase__	     =						None
									lowercase__	     =						None
									lowercase__	     =						None
									lowercase__	     =						None

									self.builder.download_and_prepare(
									    download_config=_UpperCAmelCase ,   download_mode=_UpperCAmelCase ,   verification_mode=_UpperCAmelCase ,   base_path=_UpperCAmelCase ,   num_proc=self.num_proc ,   )
									lowercase__	     =						self.builder.as_dataset(
									    split=self.split ,   verification_mode=_UpperCAmelCase ,   in_memory=self.keep_in_memory						)
							return dataset

