}
                } catch (ClassNotFoundException e) {
                    // Ignore
                }
            }
            types.add(extraType);
        }
        source = type.cast(Proxy.newProxyInstance(classLoader, types.toArray(new Class<?>[0]),
            new DispatchingInvocationHandler(type, dispatch)));
    }

    public Class<T> getType() {
        return type;
    }

    "tf.AssignVariableOp"(%1, %2) : (tensor<!tf_type.resource<tensor<3x1xf32>>>, tensor<3x1xf32>) -> ()
    return
  }
}



// -----
// variable with cast
// CHECK-LABEL:   func.func @restore_with_cast() {
// CHECK-NEXT:     [[PREFIX:%.*]] = "tf.Const"() <{value = dense<"restore_ariables"> : tensor<!tf_type.string>}> : () -> tensor<!tf_type.string>

}

// Returns true if `value` is compile-time constant and its splat value equals
// to `raw_value`.
template <typename T>
bool IsConstantValueOf(Value value, T raw_value) {
  auto element_type = mlir::cast<ShapedType>(value.getType()).getElementType();
  if (mlir::isa<FloatType>(element_type)) {
    DenseFPElementsAttr float_attr;
    if (matchPattern(value, m_Constant(&float_attr)) && float_attr.isSplat() &&

                @Override
                public <T> T create(Class<T> toolType, JavaToolchain toolchain) {
                    if (toolType == JavadocTool.class) {
                        return toolType.cast(new JavadocToolAdapter(generator, toolchain));
                    }
                    return null;
                }
            };
        }
    }

}

// Builds a `TorchAvgPoolData` from composite op.
TorchAvgPoolData GetTorchAvgPoolData(CompositeOp op) {
  auto composite_attrs = op.getCompositeAttributes();
  TorchAvgPoolData data;

  auto op_type = mlir::cast<RankedTensorType>(op.getOperand(0).getType());

  data.n = op_type.getShape()[0];
  data.c = op_type.getShape()[1];
  data.h_in = op_type.getShape()[2];
  data.w_in = op_type.getShape()[3];

    ): T = constructor(variableReference.descriptor.toKtSymbol(analysisContext) as KaParameterSymbol)

    // Util function to avoid hard coding names of the classes. Type inference will do a better job figuring out the best type to cast to.
    // This visitor isn't type-safe anyway
    private inline fun <reified T> ContractDescriptionElement.accept() = accept(this@ContractDescriptionElementToAnalysisApi, Unit) as T

        else firFunctionSymbol.valueParameters[valueParameterReference.parameterIndex]
    )

    // Util function to avoid hard coding names of the classes. Type inference will do a better job figuring out the best type to cast to.
    // This visitor isn't type-safe anyway
    private inline fun <reified T> ConeContractDescriptionElement.accept() =
        accept(this@ConeContractDescriptionElementToAnalysisApi, Unit) as T

        val effectiveSession = if (positionModule is KtDanglingFileModule && candidateModule != positionModule) {
            @Suppress("USELESS_CAST") // Smart cast is only available in K2
            val contextModule = (positionModule as KtDanglingFileModule).contextModule
            firResolveSession.getSessionFor(contextModule)
        } else {

    }

    private static Stream<? extends ConfigurationDetails> getConfigurationsWhichCouldHaveDependencyInfo(Project project) {
        return project.getConfigurations().stream()
            .map(ConfigurationInternal.class::cast)
            .filter(c -> c.isDeclarableByExtension())
            .map(ConfigurationDetails::of);
    }

        then:
        result.allDependencies == [dep1, dep2] as Set
        result.allComponents == [root, dep1.selected, dep2.selected] as Set
    }

    def "doesn't throw class cast exception when the source of the edge is a project"() {
        def projectId = new DefaultProjectComponentIdentifier(
            Stub(BuildIdentifier),
            Stub(Path),
            Stub(Path),