



'''simple docstring'''


from __future__ import annotations

lowercase							       =			8.9_8_8e9  # units = N * m^s * C^-2






def  UpperCAmelCase_       (		lowercase__       ,	lowercase__       ,	lowercase__       ,	lowercase__       ):


     '''simple docstring'''







     a_       		=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:
          a_       		=COULOMBS_CONSTANT * charge_product / (distance**2)
          return {"force": force}
     elif chargea == 0:
          a_       		=abs(lowercase__       ) * (distance**2) / (COULOMBS_CONSTANT * chargea)
          return {"charge1": chargea}
     elif chargea == 0:
          a_       		=abs(lowercase__       ) * (distance**2) / (COULOMBS_CONSTANT * chargea)
          return {"charge2": chargea}
     elif distance == 0:
          a_       		=(COULOMBS_CONSTANT * charge_product / abs(lowercase__       )) ** 0.5
          return {"distance": distance}
     raise ValueError("Exactly one argument must be 0"       )


if __name__ == "__main__":
  import doctest

  doctest.testmod()







'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


lowercase							       =			{
    '''configuration_rag''': ['''RagConfig'''],
    '''retrieval_rag''': ['''RagRetriever'''],
    '''tokenization_rag''': ['''RagTokenizer'''],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase							       =			[
      '''RagModel''',
      '''RagPreTrainedModel''',
      '''RagSequenceForGeneration''',
      '''RagTokenForGeneration''',
  ]

try:
  if not is_tf_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase							       =			[
      '''TFRagModel''',
      '''TFRagPreTrainedModel''',
      '''TFRagSequenceForGeneration''',
      '''TFRagTokenForGeneration''',
  ]


if TYPE_CHECKING:
  from .configuration_rag import RagConfig
  from .retrieval_rag import RagRetriever
  from .tokenization_rag import RagTokenizer

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration

  try:
    if not is_tf_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_tf_rag import (
        TFRagModel,
        TFRagPreTrainedModel,
        TFRagSequenceForGeneration,
        TFRagTokenForGeneration,
    )

else:
  import sys

  lowercase							       =			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)


