


def   _UpperCAmelCase       (     UpperCAmelCase      :			int = 4_000_000      ):
      """simple docstring"""




      __lowerCamelCase     :      Union[str, Any]       						=						[0, 1]
      __lowerCamelCase     :      Dict       						=						0
      while fib[i] <= n:
            fib.append(fib[i] + fib[i + 1]      )
            if fib[i + 2] > n:
                  break
            i += 1
      __lowerCamelCase     :      Any       						=						0
      for j in range(len(UpperCAmelCase      ) - 1      ):
            if fib[j] % 2 == 0:
                  total += fib[j]

      return total


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







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__UpperCamelCase    :						Any     =							{
    'configuration_timesformer': ['TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'TimesformerConfig'],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __UpperCamelCase    :						int     =							[
        'TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
        'TimesformerModel',
        'TimesformerForVideoClassification',
        'TimesformerPreTrainedModel',
    ]

if TYPE_CHECKING:
    from .configuration_timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_timesformer import (
            TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
            TimesformerForVideoClassification,
            TimesformerModel,
            TimesformerPreTrainedModel,
        )

else:
    import sys

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



