from typing import TYPE_CHECKING

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


__lowerCamelCase					:	List[str]       =  {
    '''configuration_graphormer''': ['''GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GraphormerConfig'''],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__lowerCamelCase					:	Optional[Any]       =  [
		    '''GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''GraphormerForGraphClassification''',
		    '''GraphormerModel''',
		    '''GraphormerPreTrainedModel''',
		]


if TYPE_CHECKING:
		from .configuration_graphormer import GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, GraphormerConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_graphormer import (
				    GRAPHORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    GraphormerForGraphClassification,
				    GraphormerModel,
				    GraphormerPreTrainedModel,
				)


else:
		import sys

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

from __future__ import annotations

from math import pi, sqrt




def       _snake_case	(   lowerCAmelCase							:   float   , lowerCAmelCase							:   float	):
		"""simple docstring"""







		if inductance <= 0:
				raise ValueError("Inductance cannot be 0 or negative"	)

		elif capacitance <= 0:
				raise ValueError("Capacitance cannot be 0 or negative"	)

		else:
				return (
				    "Resonant frequency",
				    float(1 / (2 * pi * (sqrt(inductance * capacitance	)))	),
				)


if __name__ == "__main__":
		import doctest

		doctest.testmod()
