

from __future__ import annotations

from math import pi

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    float	,     SCREAMING_SNAKE_CASE_		:    float	,     SCREAMING_SNAKE_CASE_		:    float			):



     '''simple docstring'''





     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()




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


snake_case_			  = {
    '''configuration_instructblip''': [
        '''INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''InstructBlipConfig''',
        '''InstructBlipQFormerConfig''',
        '''InstructBlipVisionConfig''',
    ],
    '''processing_instructblip''': ['''InstructBlipProcessor'''],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       snake_case_			  = [
           '''INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
           '''InstructBlipQFormerModel''',
           '''InstructBlipPreTrainedModel''',
           '''InstructBlipForConditionalGeneration''',
           '''InstructBlipVisionModel''',
       ]

if TYPE_CHECKING:
       from .configuration_instructblip import (
           INSTRUCTBLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
           InstructBlipConfig,
           InstructBlipQFormerConfig,
           InstructBlipVisionConfig,
       )
       from .processing_instructblip import InstructBlipProcessor

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_instructblip import (
                  INSTRUCTBLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
                  InstructBlipForConditionalGeneration,
                  InstructBlipPreTrainedModel,
                  InstructBlipQFormerModel,
                  InstructBlipVisionModel,
              )

else:
       import sys

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

