"""simple docstring"""





from typing import TYPE_CHECKING

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


_UpperCamelCase   :						int      =    {
    "configuration_longt5": ["LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP", "LongT5Config", "LongT5OnnxConfig"],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _UpperCamelCase   :						Dict      =    [
           "LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST",
           "LongT5EncoderModel",
           "LongT5ForConditionalGeneration",
           "LongT5Model",
           "LongT5PreTrainedModel",
       ]

try:
       if not is_flax_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       _UpperCamelCase   :						Any      =    [
           "FlaxLongT5ForConditionalGeneration",
           "FlaxLongT5Model",
           "FlaxLongT5PreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_longta import LONGT5_PRETRAINED_CONFIG_ARCHIVE_MAP, LongTaConfig, LongTaOnnxConfig

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_longta import (
                  LONGT5_PRETRAINED_MODEL_ARCHIVE_LIST,
                  LongTaEncoderModel,
                  LongTaForConditionalGeneration,
                  LongTaModel,
                  LongTaPreTrainedModel,
              )

       try:
              if not is_flax_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_flax_longta import (
                  FlaxLongTaForConditionalGeneration,
                  FlaxLongTaModel,
                  FlaxLongTaPreTrainedModel,
              )


else:
       import sys

       _UpperCamelCase   :						Optional[Any]      =    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)








from __future__ import annotations

from collections import namedtuple





def 						__SCREAMING_SNAKE_CASE  (				UpperCamelCase__			,			UpperCamelCase__			,			UpperCamelCase__ )  ->				tuple:







			'''simple docstring'''

			UpperCAmelCase   		=				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()



