return Pair[A, B]{a, b}
}

func Combine2[A, B any](ga Gen[A], gb Gen[B]) Gen[Pair[A, B]] {
	return Combine(ga, gb, _NewPair[A, B])
}

func main() {
	var g1 Gen[int] = func() (int, bool) { return 3, true }
	var g2 Gen[string] = func() (string, bool) { return "x", false }
	var g3 Gen[string] = func() (string, bool) { return "y", true }

	gc := Combine(g1, g2, _NewPair[int, string])
	if got, ok := gc(); ok {

		result = e.Operand.analyze(s)
	} else {
		result.combine(e.Operand.analyze(s))
		result.combine(e.ConditionRHS.analyze(s))
	}
	return
}

func (e *ConditionRHS) analyze(s *Select) (result qProp) {
	switch {
	case e.Compare != nil:
		result = e.Compare.Operand.analyze(s)
	case e.Between != nil:
		result.combine(e.Between.Start.analyze(s))
		result.combine(e.Between.End.analyze(s))
	case e.In != nil:

	"k8s.io/apimachinery/pkg/runtime/schema"
	"k8s.io/kube-openapi/pkg/validation/spec"
)

// Combine combines the DefinitionsSchemaResolver with a secondary schema resolver.
// The resulting schema resolver uses the DefinitionsSchemaResolver for a GVK that DefinitionsSchemaResolver knows,
// and the secondary otherwise.
func (d *DefinitionsSchemaResolver) Combine(secondary SchemaResolver) SchemaResolver {

          ImmutableList.Builder::add,
          ImmutableList.Builder::combine,
          ImmutableList.Builder::build);

  private static final Collector<Object, ?, ImmutableSet<Object>> TO_IMMUTABLE_SET =
      Collector.of(
          ImmutableSet::builder,
          ImmutableSet.Builder::add,
          ImmutableSet.Builder::combine,
          ImmutableSet.Builder::build);

  @GwtIncompatible

          ImmutableList.Builder::add,
          ImmutableList.Builder::combine,
          ImmutableList.Builder::build);

  private static final Collector<Object, ?, ImmutableSet<Object>> TO_IMMUTABLE_SET =
      Collector.of(
          ImmutableSet::builder,
          ImmutableSet.Builder::add,
          ImmutableSet.Builder::combine,
          ImmutableSet.Builder::build);

  @GwtIncompatible

	name      string
	analyzers []Analyzer
}

// Combine multiple analyzers into a single one.
// For input metadata, use the union of the component analyzers
func Combine(name string, analyzers ...Analyzer) CombinedAnalyzer {
	return &InternalCombinedAnalyzer{
		name:      name,
		analyzers: analyzers,
	}
}

func (c *InternalCombinedAnalyzer) RelevantSubset(kinds sets.Set[config.GroupVersionKind]) CombinedAnalyzer {

7. Here the `response_model` is using a type annotation of a list of `Author` dataclasses.

    Again, you can combine `dataclasses` with standard type annotations.

8. Notice that this *path operation function* uses regular `def` instead of `async def`.

    As always, in FastAPI you can combine `def` and `async def` as needed.

		{"VADDPD.Z.Z X0, X1, X2", `Z suffix should be the last; duplicate suffix "Z"`},
		{"VADDPD.SAE.BCST X0, X1, X2", `can't combine rounding/SAE and broadcast`},
		{"VADDPD.BCST.SAE X0, X1, X2", `can't combine rounding/SAE and broadcast`},
		{"VADDPD.BCST.Z.SAE X0, X1, X2", `Z suffix should be the last; can't combine rounding/SAE and broadcast`},
		{"VADDPD.SAE.SAE X0, X1, X2", `duplicate suffix "SAE"`},

        String lhs = "<props>" + "<property combine.id='LHS-ONLY'><name>LHS-ONLY</name><value>LHS</value></property>"
                + "<property combine.id='TOOVERWRITE'><name>TOOVERWRITE</name><value>LHS</value></property>"
                + "</props>";

        String rhs = "<props>" + "<property combine.id='RHS-ONLY'><name>RHS-ONLY</name><value>RHS</value></property>"

      options.tpu_transfer_result_to_host;
  Status status = tensorflow::CreateTfExecutorToTfrtPipeline(pm, pass_options);
  if (!status.ok()) {
    return diag_handler.Combine(status);
  }

  if (mlir::failed(pm.run(module)))
    return diag_handler.Combine(tensorflow::errors::Internal(
        "failed to lower TF Dialect to CoreRT dialect."));

  if (VLOG_IS_ON(1)) {
    VLOG(1) << "TFRT dialect: ";