






'''simple docstring'''



from typing import Callable, Optional

from .. import Features
from ..packaged_modules.generator.generator import Generator
from .abc import AbstractDatasetInputStream
class UpperCAmelCase_					(    __A				):




      """simple docstring"""




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


       '''simple docstring'''

       super().__init__(
           features=UpperCAmelCase     ,      cache_dir=UpperCAmelCase     ,      keep_in_memory=UpperCAmelCase     ,      streaming=UpperCAmelCase     ,      num_proc=UpperCAmelCase     ,      **UpperCAmelCase     ,      )
       lowercase					:   Tuple				  =Generator(
           cache_dir=UpperCAmelCase     ,      features=UpperCAmelCase     ,      generator=UpperCAmelCase     ,      gen_kwargs=UpperCAmelCase     ,      **UpperCAmelCase     ,      )






      def 				A__      ( self			:		Dict		)  ->  Dict:


       '''simple docstring'''

       if self.streaming:
        lowercase					:   Optional[Any]				  =self.builder.as_streaming_dataset(split='''train'''		)
       # Build regular (map-style) dataset
       else:
        lowercase					:   Union[str, Any]				  =None
        lowercase					:   Dict				  =None
        lowercase					:   Union[str, Any]				  =None
        lowercase					:   Tuple				  =None

        self.builder.download_and_prepare(
            download_config=UpperCAmelCase     ,      download_mode=UpperCAmelCase     ,      verification_mode=UpperCAmelCase     ,      base_path=UpperCAmelCase     ,      num_proc=self.num_proc     ,      )
        lowercase					:   Optional[Any]				  =self.builder.as_dataset(
            split='''train'''     ,      verification_mode=UpperCAmelCase     ,      in_memory=self.keep_in_memory		)
       return dataset











'''simple docstring'''



from __future__ import annotations

SCREAMING_SNAKE_CASE						=	8.988E9  # units = N * m^s * C^-2


def 							lowercase_				(    __A :       float					,      __A :       float					,      __A :       float					,      __A :       float			)       ->      dict[str, float]:



 """simple docstring"""




 lowercase					:   Dict				  =abs(chargea * chargea			)

 if (force, chargea, chargea, distance).count(0			) != 1:
  raise ValueError('''One and only one argument must be 0'''			)
 if distance < 0:
  raise ValueError('''Distance cannot be negative'''			)
 if force == 0:
  lowercase					:   Union[str, Any]				  =COULOMBS_CONSTANT * charge_product / (distance**2)
  return {"force": force}
 elif chargea == 0:
  lowercase					:   int				  =abs(__A			) * (distance**2) / (COULOMBS_CONSTANT * chargea)
  return {"charge1": chargea}
 elif chargea == 0:
  lowercase					:   int				  =abs(__A			) * (distance**2) / (COULOMBS_CONSTANT * chargea)
  return {"charge2": chargea}
 elif distance == 0:
  lowercase					:   Tuple				  =(COULOMBS_CONSTANT * charge_product / abs(__A			)) ** 0.5
  return {"distance": distance}
 raise ValueError('''Exactly one argument must be 0'''			)


if __name__ == "__main__":
      import doctest

      doctest.testmod()



