from typing import TYPE_CHECKING

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


_UpperCamelCase           =							{
    '''configuration_graphormer''': ['''GRAPHORMER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''GraphormerConfig'''],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_UpperCamelCase           =							[
			    '''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

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




def  _lowerCamelCase					(   a_				: int = 4_00_00_00):
			lowerCamelCase						:Dict						  =     [0, 1]
			lowerCamelCase						:Optional[Any]						  =     0
			while fib[i] <= n:
						fib.append(fib[i] + fib[i + 1])
						if fib[i + 2] > n:
									break
						i += 1
			lowerCamelCase						:Dict						  =     0
			for j in range(len(a_) - 1):
						if fib[j] % 2 == 0:
									total += fib[j]

			return total


if __name__ == "__main__":
			print(F'{solution() = }')



