"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


SCREAMING_SNAKE_CASE__   =					{
    "configuration_blenderbot_small": [
        "BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "BlenderbotSmallConfig",
        "BlenderbotSmallOnnxConfig",
    ],
    "tokenization_blenderbot_small": ["BlenderbotSmallTokenizer"],
}

try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     SCREAMING_SNAKE_CASE__   =					["BlenderbotSmallTokenizerFast"]

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     SCREAMING_SNAKE_CASE__   =					[
         "BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST",
         "BlenderbotSmallForCausalLM",
         "BlenderbotSmallForConditionalGeneration",
         "BlenderbotSmallModel",
         "BlenderbotSmallPreTrainedModel",
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     SCREAMING_SNAKE_CASE__   =					[
         "TFBlenderbotSmallForConditionalGeneration",
         "TFBlenderbotSmallModel",
         "TFBlenderbotSmallPreTrainedModel",
     ]

try:
     if not is_flax_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     SCREAMING_SNAKE_CASE__   =					[
         "FlaxBlenderbotSmallForConditionalGeneration",
         "FlaxBlenderbotSmallModel",
         "FlaxBlenderbotSmallPreTrainedModel",
     ]

if TYPE_CHECKING:
     from .configuration_blenderbot_small import (
         BLENDERBOT_SMALL_PRETRAINED_CONFIG_ARCHIVE_MAP,
         BlenderbotSmallConfig,
         BlenderbotSmallOnnxConfig,
     )
     from .tokenization_blenderbot_small import BlenderbotSmallTokenizer

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_blenderbot_small_fast import BlenderbotSmallTokenizerFast

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_blenderbot_small import (
              BLENDERBOT_SMALL_PRETRAINED_MODEL_ARCHIVE_LIST,
              BlenderbotSmallForCausalLM,
              BlenderbotSmallForConditionalGeneration,
              BlenderbotSmallModel,
              BlenderbotSmallPreTrainedModel,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_blenderbot_small import (
              TFBlenderbotSmallForConditionalGeneration,
              TFBlenderbotSmallModel,
              TFBlenderbotSmallPreTrainedModel,
          )

     try:
          if not is_flax_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_flax_blenderbot_small import (
              FlaxBlenderbotSmallForConditionalGeneration,
              FlaxBlenderbotSmallModel,
              FlaxBlenderbotSmallPreTrainedModel,
          )

else:
     import sys

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



"""simple docstring"""
import cmath
import math





def 				lowerCAmelCase__      (     _UpperCamelCase    :			float	,     _UpperCamelCase    :			float	,     _UpperCamelCase    :			float	,     _UpperCamelCase    :			float   )   ->			complex:





						"""simple docstring"""






						snake_case        =     math.radians(_UpperCamelCase   )
						snake_case        =     math.radians(_UpperCamelCase   )

						# Convert voltage and current to rectangular form
						snake_case        =     cmath.rect(_UpperCamelCase	,     _UpperCamelCase   )
						snake_case        =     cmath.rect(_UpperCamelCase	,     _UpperCamelCase   )

						# Calculate apparent power
						return voltage_rect * current_rect


if __name__ == "__main__":
					import doctest

					doctest.testmod()


