

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						(lowerCAmelCase__    ):


					'''simple docstring'''






					def __init__(			self   ,	A__   ,	A__ = None   ,	A__ = None   ,	A__ = None   ,	A__ = False   ,	A__ = False   ,	A__ = None   ,	**A__   ,	):
						super().__init__(
						    _SCREAMING_SNAKE_CASE   ,	split=_SCREAMING_SNAKE_CASE   ,	features=_SCREAMING_SNAKE_CASE   ,	cache_dir=_SCREAMING_SNAKE_CASE   ,	keep_in_memory=_SCREAMING_SNAKE_CASE   ,	streaming=_SCREAMING_SNAKE_CASE   ,	num_proc=_SCREAMING_SNAKE_CASE   ,	**_SCREAMING_SNAKE_CASE   ,	)
						A__							:   int					       =		path_or_paths if isinstance(_SCREAMING_SNAKE_CASE   ,	_SCREAMING_SNAKE_CASE      ) else {self.split: path_or_paths}
						A__							:   Dict					       =		Text(
						    cache_dir=_SCREAMING_SNAKE_CASE   ,	data_files=_SCREAMING_SNAKE_CASE   ,	features=_SCREAMING_SNAKE_CASE   ,	**_SCREAMING_SNAKE_CASE   ,	)






					def   __A      (			self      ):
						# Build iterable dataset
						if self.streaming:
							A__							:   Any					       =		self.builder.as_streaming_dataset(split=self.split      )
						# Build regular (map-style) dataset
						else:
							A__							:   Dict					       =		None
							A__							:   Union[str, Any]					       =		None
							A__							:   int					       =		None
							A__							:   Optional[int]					       =		None

							self.builder.download_and_prepare(
							    download_config=_SCREAMING_SNAKE_CASE   ,	download_mode=_SCREAMING_SNAKE_CASE   ,	verification_mode=_SCREAMING_SNAKE_CASE   ,	base_path=_SCREAMING_SNAKE_CASE   ,	num_proc=self.num_proc   ,	)
							A__							:   List[str]					       =		self.builder.as_dataset(
							    split=self.split   ,	verification_mode=_SCREAMING_SNAKE_CASE   ,	in_memory=self.keep_in_memory      )
						return dataset






from __future__ import annotations

def 						UpperCamelCase (lowercase_:			float   ,				lowercase_:			float   ,				lowercase_:			float )					->				dict[str, float]:
	if (voltage, current, resistance).count(0 ) != 1:
		raise ValueError("""One and only one argument must be 0""" )
	if resistance < 0:
		raise ValueError("""Resistance cannot be negative""" )
	if voltage == 0:
		return {"voltage": float(current * resistance )}
	elif current == 0:
		return {"current": voltage / resistance}
	elif resistance == 0:
		return {"resistance": voltage / current}
	else:
		raise ValueError("""Exactly one argument must be 0""" )


if __name__ == "__main__":
	import doctest

	doctest.testmod()



