testServices.expressionMarkerProvider.getElementsOfTypeAtCarets<KtDeclaration>(testServices).single().first

        val restoreAt =
            testServices.expressionMarkerProvider.getElementsOfTypeAtCarets<KtElement>(
                testServices,
                caretTag = "restoreAt"
            ).single().first

        val project = declaration.project

// mode and returns the previous state of the terminal so that it can be
// restored.
func MakeRaw(fd int) (*State, error) {
	return makeRaw(fd)
}

// GetState returns the current state of a terminal which may be useful to
// restore the terminal after a signal.
func GetState(fd int) (*State, error) {
	return getState(fd)
}

// Restore restores the terminal connected to the given file descriptor to a
// previous state.

// ops via their SaveSpec members
// https://github.com/tensorflow/tensorflow/blob/ddc1bbad3dfd4a089eb96014f26cc16664b1b2f8/tensorflow/python/training/saving/saveable_object.py#L21,
// which contain the "real" checkpoint keys into the TensorBundle SSTable.
// They also contain the logic needed to take the restored tensors from

//   read V1 might be deprecated and eventually removed.
//
//   By default, restores the named tensors in full.  If the caller wishes to
//   restore specific slices of stored tensors, "shape_and_slices" should be
//   non-empty strings and correspondingly well-formed.
//
//   Callers must ensure all the named tensors are indeed stored in the
//   checkpoint.
Status RestoreV2(AbstractContext* ctx, AbstractTensorHandle* const prefix,

    Arg<TF_StrTensor, [{shape {N}.  The names of the tensors to be restored. This is tensor name in the model.}]>:$tensor_names,
    Arg<TF_StrTensor, [{shape {N}.  The slice specs of the tensors to be restored.
Empty strings indicate that they are non-partitioned tensors.}]>:$shape_and_slices,
    // VarHandles for restored tensors.
    Variadic<TF_Tensor>:$var_handles,
    // Data types for restored tensor.
    TypeArrayAttr: $restored_dtypes,

  //
  // RestoreV2 is the operation that will ultimately be responsible for reading
  // and restoring the variable(s)' values.  Variable values are indexed in the
  // checkpoint files by "checkpoint keys".  These keys along with dtype and
  // shape / slice information allow RestoreV2 to look up a variable's value in
  // the SavedModel and restore it into a tensor.

    %cst_1 = "tf.Const"() <{value = dense<["y", "z"]> : tensor<2x!tf_type.string>}> : () -> tensor<2x!tf_type.string>
    //expected-error@below {{'tf.RestoreV2' op expects 2 valid users, but got 1}}
    %0:2 = "tf.RestoreV2"(%cst, %cst_1, %cst_0): (tensor<!tf_type.string>, tensor<2x!tf_type.string>, tensor<2x!tf_type.string>) -> (tensor<3x1xf32>, tensor<1x3xf32>)

// Test that RestoreV2 op is created with 1 resulting value.
// CHECK: %[[RESTORE:.*]] = "tf.RestoreV2"(%[[ARG_0]], %[[CST_1]], %[[CST_2]]) : (tensor<!tf_type.string>, tensor<1x!tf_type.string>, tensor<1x!tf_type.string>) -> tensor<2xf32>
// CHECK: "tf.AssignVariableOp"(%[[VAR_HANDLE]], %[[RESTORE]]) <{validate_shape = false}> : (tensor<!tf_type.resource<tensor<2xf32>>>, tensor<2xf32>) -> ()

		t.Fatalf("Expected 'non-existent chain' error from Restore, got %v", err)
	}

	// more Restore; empty out one chain and delete another, but also update its counters
	rules = dedent.Dedent(strings.Trim(`
		*nat
		:KUBE-RESTORED - [0:0]
		:KUBE-TEST - [99:9999]
		-X KUBE-RESTORED
		COMMIT
		`, "\n"))
	err = fake.Restore(iptables.TableNAT, []byte(rules), iptables.NoFlushTables, iptables.RestoreCounters)

### Expiry or removal events