



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


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

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A__       =			[
	    """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

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




"""simple docstring"""







def 	a__   (		UpperCAmelCase__							:      list[int]      )->						int:
						UpperCAmelCase__       						=		len(UpperCAmelCase__      )
						if n in (0, 1):
												return 0
						return sum(query * (n - i - 1) for i, query in enumerate(sorted(UpperCAmelCase__      )      )      )


if __name__ == "__main__":
						import doctest

						doctest.testmod()

