},
		},
		ExpectXML: `<a><nested><value>known</value></nested><AnyField><unknown/></AnyField></a>`,
	},
	{
		ExpectXML: `<a><nested><value>b</value></nested></a>`,
		Value: &AnyOmitTest{
			Nested: "b",
		},
	},
	{
		ExpectXML: `<a><nested><value>b</value></nested><c><d>e</d></c><g xmlns="f"><h>i</h></g></a>`,
		Value: &AnySliceTest{
			Nested: "b",
			AnyField: []AnyHolder{
				{

        result.groupedOutput.transform("MakeGreen", "nested-producer.jar (project :included:nested-producer)")
            .assertOutputContains("processing [nested-producer.jar]")

        result.groupedOutput.task(":consumer:resolve")
            .assertOutputContains("result = [producer.jar.green, nested-producer.jar.green]")

        // Included build runs a single task and no transforms

import org.jetbrains.kotlin.analysis.api.impl.base.test.cases.references.AbstractReferenceShortenerTest;
import org.jetbrains.kotlin.test.TestMetadata;
import org.junit.jupiter.api.Nested;
import org.junit.jupiter.api.Test;

import java.io.File;
import java.util.regex.Pattern;

import org.jetbrains.kotlin.analysis.api.impl.base.test.cases.references.AbstractReferenceShortenerTest;
import org.jetbrains.kotlin.test.TestMetadata;
import org.junit.jupiter.api.Nested;
import org.junit.jupiter.api.Test;

import java.io.File;
import java.util.regex.Pattern;

        return call_op.emitOpError(
            "resource lifting does not support call with nested references.");
      }
      if (failed(HandlePartitionedCallOp(call_op, callee, module,
                                         vars_initialized,
                                         lifted_partitioned_call_callees))) {
        // Nested control flow handling is done in HandlePartitionedCallOp().
        return failure();
      }

            }

            @Override
            public Object newInstance(ServiceLookup services, InstanceGenerator nested) throws InvocationTargetException, IllegalAccessException, InstantiationException {
                return strategy.newInstance(services, nested, null, NO_PARAMS);
            }
        }

        private class GeneratedConstructorImpl implements GeneratedConstructor<Object> {

							path:   "/nested-key1",
							allow:  true,
						},
						{
							prefix: "[NestedToken2]",
							jwt:    jwt.TokenIssuer1WithNestedClaims2,
							path:   "/nested-key1",
							allow:  false,
						},
						{
							prefix: "[NestedToken1]",
							jwt:    jwt.TokenIssuer1WithNestedClaims1,
							path:   "/nested-key2",
							allow:  false,
						},
						{

// CHECK-SAME: _replication_info = "foo"
// CHECK: "tf.AssignAddVariableOp"([[VAR]], [[CONST]])

// Preceding user is using resource updated by the cluster within a nested op.
// Resource is updated by a cluster op, and opA (not in cluster) is using the
// resource in a nested op. We expect opA to be after the cluster.
// CHECK-LABEL: func @cluster_nested_op_using_resource
func.func @cluster_nested_op_using_resource() {

			expectedSetCost:  25165826,
		},
		{
			name:             "nested types with root rule with all supporting maxLength",
			schemaGenerator:  genAllMaxNestedSpecWithRootRule(`self.all(x, x["y"].required == "z")`),
			expectedCalcCost: 7340027,
			setMaxElements:   10,
			expectedSetCost:  72,
		},
		{
			name:             "nested types with root rule with one supporting maxLength",

// upstream frames are populated.  In effect, this order enables processing each
// (nested) tf.while one-by-one, as each (nested) tf.while creates a unique
// (root) frame.  Note that we don't separate while loops belonging to the same
// nested while, as there is no clean cut for separating them in the topological
// order.
Status DeadnessAnalysisImpl::Populate(bool enable_optimistic) {