tcp "github.com/envoyproxy/go-control-plane/envoy/extensions/filters/network/tcp_proxy/v3"
	"sigs.k8s.io/yaml"

	"istio.io/istio/istioctl/pkg/util/proto"
	"istio.io/istio/pilot/pkg/networking/util"
	"istio.io/istio/pilot/pkg/util/protoconv"
	v3 "istio.io/istio/pilot/pkg/xds/v3"
	"istio.io/istio/pkg/wellknown"
)

const (

  string bytes1, bytes2;
  tensorflow::TensorShapeProto proto;

  const int64_t pts1[] = {2, 4, -1, 8};
  tensorflow::PartialTensorShape(pts1).AsProto(&proto);
  proto.SerializeToString(&bytes1);

  const int64_t pts2[] = {1, 3, 5, 7};
  tensorflow::PartialTensorShape(pts2).AsProto(&proto);
  proto.SerializeToString(&bytes2);

  std::unique_ptr<const void*[]> list_ptrs;

			"Use --meshConfigFile or re-run "+command+" with `-i <istioSystemNamespace> and ensure valid MeshConfig exists",
			meshConfigMapName, ctx.IstioNamespace(), err)
	}
	// values in the data are strings, while proto might use a
	// different data type.  therefore, we have to get a value by a
	// key
	configYaml, exists := meshConfigMap.Data[configMapKey]
	if !exists {

	// unit tests do not have host set.
	if r.Host == "" {
		return path.Clean(r.URL.Path)
	}
	proto := handlers.GetSourceScheme(r)
	if proto == "" {
		proto = getURLScheme(globalIsTLS)
	}
	u := &url.URL{
		Host:   r.Host,
		Path:   path.Join(SlashSeparator, bucket, object),
		Scheme: proto,
	}
	// If domain is set then we need to use bucket DNS style.
	for _, domain := range domains {

func TestCheckURL(t *testing.T) {
	testCases := []struct {
		urlStr     string
		shouldPass bool
	}{
		{"", false},
		{":", false},
		{"http://localhost/", true},
		{"http://127.0.0.1/", true},
		{"proto://myhostname/path", true},
	}

	// Validates fetching local address.
	for i, testCase := range testCases {
		_, err := checkURL(testCase.urlStr)
		if testCase.shouldPass && err != nil {

             {});
}

TEST_F(CApiFunctionTest, ImportFunctionDef_InvalidProto) {
  // Invalid protobuf data (protos cannot start with 4 bytes of zeros)
  char proto[] = {0x0, 0x0, 0x0, 0x0};
  func_ = TF_FunctionImportFunctionDef(proto, 4, s_);
  EXPECT_TRUE(func_ == nullptr);
  EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s_));

when dealing with untrusted data. Based on the security history of these
libraries we consider that it is safe to work with untrusted inputs for PNG,
BMP, GIF, WAV, RAW, RAW\_PADDED, CSV and PROTO formats. All other input formats,
including tensorflow-io should be sandboxed if used to process untrusted data.

For example, if an attacker were to upload a malicious video file, they could

With this in mind, Ztunnel supports two xDS resources: `Address` and `Authorization`.

### Address Type

The primary configuration consumed by Ztunnel is the [`Address` resource](../../pkg/workloadapi/workload.proto).
As the name suggests, an `Address` represents a particular IP Address.
This can be a `Service` or a `Workload`.

The address type has the following goals:
* It should support (but not require) on-demand lookups.

  TF_Buffer* null_result =
      TFE_GetServerDef(malformed_text_proto.c_str(), status);
  EXPECT_NE(TF_GetCode(status), TF_OK);
  EXPECT_TRUE(absl::StrContains(TF_Message(status),
                                "Invalid text proto for ServerDef"));
  EXPECT_EQ(null_result, nullptr);

  // Cleanup
  TF_DeleteBuffer(result);
  TF_DeleteStatus(status);
}

TEST(CAPI_EXPERIMENTAL, IsStateful) {

}

void TFE_InitializeLocalOnlyContext(TFE_Context* ctx, int keep_alive_secs,
                                    const void* proto, size_t proto_len,
                                    TF_Status* status) {
  tensorflow::ServerDef server_def;
  if (!server_def.ParseFromArray(proto, proto_len)) {
    status->status = tensorflow::errors::InvalidArgument(
        "Invalid tensorflow.ServerDef protocol buffer");
    return;