
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A		: List[str]								=     {'configuration_focalnet': ['FOCALNET_PRETRAINED_CONFIG_ARCHIVE_MAP', 'FocalNetConfig']}


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		A		: Tuple								=     [
		    'FOCALNET_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'FocalNetForImageClassification',
		    'FocalNetForMaskedImageModeling',
		    'FocalNetBackbone',
		    'FocalNetModel',
		    'FocalNetPreTrainedModel',
		]

if TYPE_CHECKING:
		from .configuration_focalnet import FOCALNET_PRETRAINED_CONFIG_ARCHIVE_MAP, FocalNetConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_focalnet import (
				    FOCALNET_PRETRAINED_MODEL_ARCHIVE_LIST,
				    FocalNetBackbone,
				    FocalNetForImageClassification,
				    FocalNetForMaskedImageModeling,
				    FocalNetModel,
				    FocalNetPreTrainedModel,
				)

else:
		import sys

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






'''simple docstring'''

def    a__							(							lowercase   :	int,   lowercase   :	int,   lowercase   :	int )						->						float:





     """simple docstring"""

     _UpperCamelCase							       =			(num_of_terms / 2) * (2 * first_term + (num_of_terms - 1) * common_diff)
     # formula for sum of series
     return total







def    a__							(							)						->						Tuple:





     """simple docstring"""

     print(sum_of_series(1,   1,   10 ) )


if __name__ == "__main__":
   import doctest

   doctest.testmod()



