

'''simple docstring'''






from typing import TYPE_CHECKING

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


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:
      snake_case_	    =			['BlenderbotSmallTokenizerFast']

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

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

try:
      if not is_flax_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      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

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







'''simple docstring'''






from math import pi






def 		UpperCamelCase__      (		__SCREAMING_SNAKE_CASE				,      __SCREAMING_SNAKE_CASE		)    ->   float:
      return 2 * pi * radius * (angle / 360)


if __name__ == "__main__":
      print(arc_length(90, 10))
