






from typing import Callable, Optional

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






class 		lowercase_					(	lowercase   ):






      '''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      :						Dict ,					)    ->List[Any]:




       """simple docstring"""


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







      def       __lowerCAmelCase					(      self      :						List[Any]  )    ->Tuple:




       """simple docstring"""


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

        self.builder.download_and_prepare(
            download_config=__UpperCAmelCase ,					download_mode=__UpperCAmelCase ,					verification_mode=__UpperCAmelCase ,					base_path=__UpperCAmelCase ,					num_proc=self.num_proc ,					)
        a		  =      self.builder.as_dataset(
            split='''train''' ,					verification_mode=__UpperCAmelCase ,					in_memory=self.keep_in_memory  )
       return dataset










from __future__ import annotations

from math import pi






def 				lowerCamelCase__      (    __lowerCamelCase			:     float  ,		__lowerCamelCase			:     float  ,		__lowerCamelCase			:     float		):

  if (inductance, frequency, reactance).count(0		) != 1:
    raise ValueError("""One and only one argument must be 0"""		)
  if inductance < 0:
    raise ValueError("""Inductance cannot be negative"""		)
  if frequency < 0:
    raise ValueError("""Frequency cannot be negative"""		)
  if reactance < 0:
    raise ValueError("""Inductive reactance cannot be negative"""		)
  if inductance == 0:
    return {"inductance": reactance / (2 * pi * frequency)}
  elif frequency == 0:
    return {"frequency": reactance / (2 * pi * inductance)}
  elif reactance == 0:
    return {"reactance": 2 * pi * frequency * inductance}
  else:
    raise ValueError("""Exactly one argument must be 0"""		)


if __name__ == "__main__":
       import doctest

       doctest.testmod()


