


"""simple docstring"""
from __future__ import annotations

from collections import namedtuple

def 				_snake_case      (   __snake_case							:      float						, __snake_case							:      float						, __snake_case							:      float   ):




   """simple docstring"""







   _lowerCamelCase	:					Optional[Any]   =		namedtuple("""result"""						, """name value"""   )
   if (voltage, current, power).count(0   ) != 1:
      raise ValueError("""Only one argument must be 0"""   )
   elif power < 0:
      raise ValueError(
          """Power cannot be negative in any electrical/electronics system"""   )
   elif voltage == 0:
      return result("""voltage"""						, power / current   )
   elif current == 0:
      return result("""current"""						, power / voltage   )
   elif power == 0:
      return result("""power"""						, float(round(abs(voltage * current   )						, 2   )   )   )
   else:
      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_flax_available,
    is_tf_available,
    is_torch_available,
)


UpperCAmelCase				=						{
    """configuration_vision_encoder_decoder""": ["""VisionEncoderDecoderConfig""", """VisionEncoderDecoderOnnxConfig"""]
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCAmelCase				=						["""VisionEncoderDecoderModel"""]

try:
 if not is_tf_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCAmelCase				=						["""TFVisionEncoderDecoderModel"""]

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 UpperCAmelCase				=						["""FlaxVisionEncoderDecoderModel"""]

if TYPE_CHECKING:
 from .configuration_vision_encoder_decoder import VisionEncoderDecoderConfig, VisionEncoderDecoderOnnxConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_vision_encoder_decoder import VisionEncoderDecoderModel

 try:
  if not is_tf_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_tf_vision_encoder_decoder import TFVisionEncoderDecoderModel

 try:
  if not is_flax_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_flax_vision_encoder_decoder import FlaxVisionEncoderDecoderModel

else:
 import sys

 UpperCAmelCase				=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

