


"""simple docstring"""
from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream





class        __A       (snake_case__):





							'''simple docstring'''

							def __init__(			self							: Optional[Any]						,    UpperCAmelCase_							: Callable						,    UpperCAmelCase_							: Optional[Features] = None						,    UpperCAmelCase_							: str = None						,    UpperCAmelCase_							: bool = False						,    UpperCAmelCase_							: bool = False						,    UpperCAmelCase_							: Optional[dict] = None						,    UpperCAmelCase_							: Optional[int] = None						,    **UpperCAmelCase_							: int						,    )   ->Tuple:



														"""simple docstring"""



														super().__init__(
														    features=UpperCAmelCase_						,    cache_dir=UpperCAmelCase_						,    keep_in_memory=UpperCAmelCase_						,    streaming=UpperCAmelCase_						,    num_proc=UpperCAmelCase_						,    **UpperCAmelCase_						,    )
														snake_case_          =						Generator(
														    cache_dir=UpperCAmelCase_						,    features=UpperCAmelCase_						,    generator=UpperCAmelCase_						,    gen_kwargs=UpperCAmelCase_						,    **UpperCAmelCase_						,    )



							def 						lowerCAmelCase    (			self							: Union[str, Any]    )   ->int:



														"""simple docstring"""



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

																					self.builder.download_and_prepare(
																					    download_config=UpperCAmelCase_						,    download_mode=UpperCAmelCase_						,    verification_mode=UpperCAmelCase_						,    base_path=UpperCAmelCase_						,    num_proc=self.num_proc						,    )
																					snake_case_          =						self.builder.as_dataset(
																					    split="""train"""						,    verification_mode=UpperCAmelCase_						,    in_memory=self.keep_in_memory    )
														return dataset










"""simple docstring"""
from __future__ import annotations

from collections.abc import Iterator





class        __A       :





							'''simple docstring'''

							def __init__(			self							: Any						,    UpperCAmelCase_							: int    )   ->None:



														"""simple docstring"""



														snake_case_          =						value
														snake_case_          =						None
														snake_case_          =						None





class        __A       :





							'''simple docstring'''

							def __init__(			self							: List[Any]						,    UpperCAmelCase_							: Node    )   ->None:



														"""simple docstring"""



														snake_case_          =						tree



							def 						lowerCAmelCase    (			self							: List[str]						,    UpperCAmelCase_							: Node | None    )   ->int:



														"""simple docstring"""



														if node is None:
																					return 0
														return node.value + (
														    self.depth_first_search(node.left    ) + self.depth_first_search(node.right    )
														)



							def __iter__(			self							: str    )   ->Iterator[int]:



														"""simple docstring"""



														yield self.depth_first_search(self.tree    )


if __name__ == "__main__":
				import doctest

				doctest.testmod()



