locality := localityLbEndpoint.Locality
		if locality.Region == "region1" && locality.Zone == "zone1" && locality.SubZone == "subzone1" {
			g.Expect(localityLbEndpoint.Priority).To(Equal(uint32(0)))
		} else if locality.Region == "region1" && locality.Zone == "zone1" && locality.SubZone == "subzone2" {
			g.Expect(localityLbEndpoint.Priority).To(Equal(uint32(1)))
		} else if locality.Region == "region2" {

						Locality: model.Locality{
							ClusterID: "cluster-1",
							Label:     "region1/zone1/subzone1",
						},
						LbWeight: 30,
						Network:  "filtered-out",
					},
				},
			},
			expected: []*endpoint.LocalityLbEndpoints{
				{
					Locality: &core.Locality{
						Region:  "region1",
						Zone:    "zone1",
						SubZone: "subzone1",
					},

    --network="${NETWORK}" \
    --regions="${REGION}" \
    --project="${NETWORK_PROJECT}" \
    --limit=1 \
    --format='value(name)' 2>/dev/null)

  if [[ -n ${SUBNETWORK:-} ]]; then
    echo "Found subnet for region ${REGION} in network ${NETWORK}: ${SUBNETWORK}"
    return 0
  fi

  echo "${color_red}Could not find subnetwork with region ${REGION}, network ${NETWORK}, and project ${NETWORK_PROJECT}"

// Sinks `tf.Const` operations in the ClusterOp region using them. This is
// performed in order to limit the number of values implicitly captured in this
// region before outlining.
std::unique_ptr<OperationPass<func::FuncOp>> CreateClusterConstantSinkingPass(
    llvm::function_ref<bool(tf_device::ClusterOp, ElementsAttr)> filter = {});

// Creates a pass that outlines regions of tf_device.cluster operations.

    TypeRange input_types, ArrayRef<Region*> regions, int64_t max_iterations) {
  DCOMMENT("\tPropagating shapes to regions");
  bool any_failure = false;
  bool any_nonconvergence = false;
  // If shape propagation fails for one region, return failure, but do not
  // early exit and attempt to propagate shapes for all provided regions to
  // have a best-effort propagation.
  for (auto region : regions) {

	now := UTCNow()
	credentialTemplate := "%s/%s/%s/s3/aws4_request"

	region := globalSite.Region()
	accessKeyID := globalActiveCred.AccessKey
	testCases := []struct {
		queryParams map[string]string
		headers     map[string]string
		region      string
		expected    APIErrorCode
	}{
		// (0) Should error without a set URL query.
		{
			region:   globalMinioDefaultRegion,
			expected: ErrInvalidQueryParams,
		},

	if location == "" {
		location = globalSite.Region()
	}
	if !isValidLocation(location) {
		return location, ErrInvalidRegion
	}

	return location, ErrNone
}

// Validates input location is same as configured region
// of MinIO server.
func isValidLocation(location string) bool {
	region := globalSite.Region()
	return region == "" || region == location
}

}

def FunctionalControlFlowToRegionsPass : Pass<"tf-functional-control-flow-to-regions", "ModuleOp"> {
  let summary = "Transforms functional control flow operations to their region-based counterparts";

  let description = [{
    This pass transforms functional control flow operations in the TensorFlow
    dialect to their region-based counterparts, i.e., `tf.If` is transformed to

  }
  return device_costs;
}

flatbuffers::Offset<SubgraphMetadata> CreateSubgraphMetadata(
    const std::map<std::string, uint8_t>& hardware_map, mlir::Region* Region,
    flatbuffers::FlatBufferBuilder* builder) {
  auto& block = Region->front();
  int index = 0;
  std::vector<flatbuffers::Offset<tflite::OpMetadata>> ops;
  for (auto& inst : block) {

  // Build a subgraph with a given name out of the region either corresponding
  // to a function's body or while op. Modifies *region by calling
  // ExtractControlEdges.
  std::optional<BufferOffset<tflite::SubGraph>> BuildSubGraph(
      const std::string& name, Region* region, int index);

  // Modifies *block by unwrapping all ControlNodeOps. The DAG of the control