



'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_UpperCamelCase  						=			{
    """configuration_decision_transformer""": [
        """DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """DecisionTransformerConfig""",
    ],
}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_UpperCamelCase  						=			[
		    """DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """DecisionTransformerGPT2Model""",
		    """DecisionTransformerGPT2PreTrainedModel""",
		    """DecisionTransformerModel""",
		    """DecisionTransformerPreTrainedModel""",
		]


if TYPE_CHECKING:
		from .configuration_decision_transformer import (
		    DECISION_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    DecisionTransformerConfig,
		)

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_decision_transformer import (
				    DECISION_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
				    DecisionTransformerGPTaModel,
				    DecisionTransformerGPTaPreTrainedModel,
				    DecisionTransformerModel,
				    DecisionTransformerPreTrainedModel,
				)


else:
		import sys

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












def        __SCREAMING_SNAKE_CASE	(				__lowercase:		int = 10_00):



  '''simple docstring'''






  __lowerCAmelCase								=					0
  for i in range(__lowercase):
    if i % 3 == 0 or i % 5 == 0:
      result += i
  return result


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