v := env.Register(
			"PILOT_JWT_ENABLE_REMOTE_JWKS",
			"false",
			"Mode of fetching JWKs from JwksUri in RequestAuthentication. Supported value: "+
				"istiod, false, hybrid, true, envoy. The client fetching JWKs is as following: "+
				"istiod/false - Istiod; hybrid/true - Envoy and fallback to Istiod if JWKs server is external; "+
				"envoy - Envoy.",
		).Get()
		return jwt.ConvertToJwksFetchMode(v)
	}()

			name: "JWT policy with Mesh cluster as issuer and remote jwks mode Hybrid",
			in: []*config.Config{
				{
					Spec: &v1beta1.RequestAuthentication{
						JwtRules: []*v1beta1.JWTRule{
							{
								Issuer:  "mesh cluster",
								JwksUri: "http://jwt-token-issuer.mesh:7443/jwks",
							},
						},
					},
				},
			},
			jwksFetchMode: jwt.Hybrid,
			expected: &hcm.HttpFilter{

            }

            apply plugin: "java"
        """

        then:
        succeeds "help"
    }

    def "plugin manager with id is fired after the plugin is applied for hybrid plugins"() {
        when:
        file("buildSrc/src/main/groovy/MyPlugin.groovy") << """
            import org.gradle.api.Plugin
            import org.gradle.api.Task
            import org.gradle.model.*

      double error_tolerance = 0.1) {
    // Expected result is calculated by evaluating using TF kernels. In some
    // cases, TF kernel behaves differently from lowered graph (e.g. Hybrid
    // ops). So we optionally use a different graph to calculate the expected
    // result.
    TF_ASSERT_OK_AND_ASSIGN(
        auto expected,
        this->EvaluateTfFunction(

	BLE	check0_16
	MOVD	$0, R3		// Assume no-match in case BGELR CR6 returns
	CMP	R5, $32		// Use overlapping VSX loads for len <= 32
	BLE	check17_32	// Do a pair of overlapping VSR compares
	CMP	R5, $64
	BLE	check33_64	// Hybrid check + overlap compare.

setup64:
	SRD	$6, R5, R6	// number of 64 byte chunks to compare
	MOVD	R6, CTR
	MOVD	$16, R14	// index for VSX loads and stores
	MOVD	$32, R15
	MOVD	$48, R16

  using impl::InsertWeightParamPassBase<
      InsertWeightParamPass>::InsertWeightParamPassBase;

 private:
  void runOnOperation() override;
};

// Inserts quantization parameters for weights for hybrid quantization of
// `stablehlo.convolution` and `stablehlo.dot_general`.
class InsertWeightParamPattern
    : public OpTraitRewritePattern<OpTrait::ConstantLike> {
 public:

  ];
}
def DecomposeHybridQuantizationPass : Pass<"tfl-decompose-hybrid-quantization", "mlir::func::FuncOp"> {
  let summary = "Decomposes hybridge quantization to explicit quantize / dequantize";
  let description = [{
      Decomposes (with explicit quantize/dequantize ops) selected math
      operations which exist in the model with hybrid quantization
      (some arguments/results left in floating point).
  }];

// Creates an instance of the TensorFlow Lite dialect QuantizeVariables pass.
std::unique_ptr<OperationPass<ModuleOp>> CreatePrepareQuantizeVariablesPass();

// Creates an instance of the TensorFlow Lite pass that decomposes hybrid
// quantization patterns to the same dense operation with tfl dequantization
// and quantization patterns.
std::unique_ptr<OperationPass<func::FuncOp>>
CreateDecomposeHybridQuantizationPass();

		expectedPort = port
	}
	return fmt.Sprint(l.Port) == expectedPort
}

func hasListenerMode(l v1beta1.Listener, mode string) bool {
	// TODO if we add a hybrid mode for detecting HBONE/passthrough, also check that here
	return l.TLS != nil && l.TLS.Options != nil && string(l.TLS.Options[constants.ListenerModeOption]) == mode

func sha1Hash(slices [][]byte) []byte {
	hsha1 := sha1.New()
	for _, slice := range slices {
		hsha1.Write(slice)
	}
	return hsha1.Sum(nil)
}

// md5SHA1Hash implements TLS 1.0's hybrid hash function which consists of the
// concatenation of an MD5 and SHA1 hash.
func md5SHA1Hash(slices [][]byte) []byte {
	md5sha1 := make([]byte, md5.Size+sha1.Size)
	hmd5 := md5.New()
	for _, slice := range slices {