



"""simple docstring"""






from typing import Callable, Optional

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

class  __SCREAMING_SNAKE_CASE			(   lowerCAmelCase_     ):


					'''simple docstring'''





					def __init__( self							:						List[str],						lowerCamelCase							:						Callable,						lowerCamelCase							:						Optional[Features] = None,						lowerCamelCase							:						str = None,						lowerCamelCase							:						bool = False,						lowerCamelCase							:						bool = False,						lowerCamelCase							:						Optional[dict] = None,						lowerCamelCase							:						Optional[int] = None,						**lowerCamelCase							:						Optional[int],						)->      Optional[int]:
								super().__init__(
								    features=lowerCamelCase,						cache_dir=lowerCamelCase,						keep_in_memory=lowerCamelCase,						streaming=lowerCamelCase,						num_proc=lowerCamelCase,						**lowerCamelCase,						)
								lowerCamelCase__	:	Union[str, Any]				=Generator(
								    cache_dir=lowerCamelCase,						features=lowerCamelCase,						generator=lowerCamelCase,						gen_kwargs=lowerCamelCase,						**lowerCamelCase,						)




					def 	snake_case ( self							:						Union[str, Any]  )->      Optional[int]:
								# Build iterable dataset
								if self.streaming:
											lowerCamelCase__	:	Any				=self.builder.as_streaming_dataset(split='''train'''  )
								# Build regular (map-style) dataset
								else:
											lowerCamelCase__	:	List[str]				=None
											lowerCamelCase__	:	List[str]				=None
											lowerCamelCase__	:	Dict				=None
											lowerCamelCase__	:	Optional[Any]				=None

											self.builder.download_and_prepare(
											    download_config=lowerCamelCase,						download_mode=lowerCamelCase,						verification_mode=lowerCamelCase,						base_path=lowerCamelCase,						num_proc=self.num_proc,						)
											lowerCamelCase__	:	Dict				=self.builder.as_dataset(
											    split='''train''',						verification_mode=lowerCamelCase,						in_memory=self.keep_in_memory  )
								return dataset









"""simple docstring"""






from __future__ import annotations

from collections.abc import Iterator

class  __SCREAMING_SNAKE_CASE			:


					'''simple docstring'''





					def __init__( self							:						str,						lowerCamelCase							:						int  )->      None:
								lowerCamelCase__	:	str				=value
								lowerCamelCase__	:	Node | None				=None
								lowerCamelCase__	:	Node | None				=None





class  __SCREAMING_SNAKE_CASE			:


					'''simple docstring'''





					def __init__( self							:						int,						lowerCamelCase							:						Node  )->      None:
								lowerCamelCase__	:	Any				=tree



					def 	snake_case ( self							:						str,						lowerCamelCase							:						Node | None  )->      int:
								if node is None:
											return 0
								return node.value + (
								    self.depth_first_search(node.left  ) + self.depth_first_search(node.right  )
								)




					def __iter__( self							:						Dict  )->      Iterator[int]:
								yield self.depth_first_search(self.tree  )


if __name__ == "__main__":
		import doctest

		doctest.testmod()




