{ "keys":[ {"e":"AQAB","kid":"DHFbpoIUqrY8t2zpA2qXfCmr5VO5ZEr4RzHU_-envvQ","kty":"RSA","n":"xAE7eB6qugXyCAG3yhh7pkDkT65pHymX-P7KfIupjf59vsdo91bSP9C8H07pSAGQO1MV_xFj9VswgsCg4R6otmg5PV2He95lZdHtOcU5DXIg_pbhLdKXbi66GlVeK6ABZOUW3WYtnNHD-91gVuoeJT_DwtGGcp4ignkgXfkiEm4sw-4sfb4qdt5oLbyVpmW6x9cfa7vs2WTfURiCrBoUqgBo_-4WTiULmmHSGZHOjzwa8WtrtOQGsAFjIbno85jp6MnGGGZPYZbDAa_b3y5u-YpW7ypZrvD8BgtKVjgtQgZhLAGezMt0ua3DRrWnKqTZ0BJ_EyxOGuHJrLsn00fnMQ"}]}...

// The copy can be non-consectutive copy. This is just fake data.
constexpr float kNNAPICopyUnitCost = 0.2;

// Default values.
constexpr float kNNAPIDefaultFixedValuedCost = 10000.0;

constexpr char NNAPIHardware::kId[];  // Define kId.

mlir::RewritePatternSet NNAPIHardware::GetTransformations(
    MLIRContext* context) const {
  mlir::RewritePatternSet patterns(context);

  patterns.add<SquaredDifference, LowerPackIntoConcatReshape,

namespace tac {
// Gpu hardware class which handles GPU capabilities in TFLite.
// This is used by TAC to get op supported/ op cost estimates on GPU.
class GpuHardware : public TargetHardware {
 public:
  static constexpr char kId[] = "GPU";
  mlir::RewritePatternSet GetTransformations(
      MLIRContext* context) const override;

  mlir::TypeID GetTypeId() const override {
    return mlir::TypeID::get<GpuHardware>();
  }

// define static member variable that retrieves string identifying the Target
// Hardware. Example,
// class MyType : public TargetHardware {
//  public:
//   static constexpr char kId[] = "MyHardware";
// };
class TargetHardware {
 public:
  virtual ~TargetHardware() = default;

  // Initializes all TargetHardwareOperation registered for this hardware.

	"fmt"
	"math/big"
)

// JWKS - https://tools.ietf.org/html/rfc7517
type JWKS struct {
	Keys []*JWKS `json:"keys,omitempty"`

	Kty string `json:"kty"`
	Use string `json:"use,omitempty"`
	Kid string `json:"kid,omitempty"`
	Alg string `json:"alg,omitempty"`

	Crv string `json:"crv,omitempty"`
	X   string `json:"x,omitempty"`
	Y   string `json:"y,omitempty"`
	D   string `json:"d,omitempty"`

          "e":"AQAB",
          "alg":"RS256",
          "kid":"2011-04-29"}
       ]
     }`
		w.Write([]byte(jsonkey))
	}))
	return server
}

func TestJWTHMACType(t *testing.T) {
	server := initJWKSServer()
	defer server.Close()

	jwt := &jwtgo.Token{

#include "tensorflow/compiler/mlir/lite/experimental/tac/hardwares/simple_hardware.h"

namespace mlir {
namespace TFL {
namespace tac {

class ExampleHardware : public SimpleHardware {
 public:
  static constexpr char kId[] = "ExampleHardware";

  mlir::RewritePatternSet GetTransformations(
      MLIRContext* context) const override;

  mlir::TypeID GetTypeId() const override {
    return mlir::TypeID::get<ExampleHardware>();
  }

#include "tensorflow/compiler/mlir/lite/experimental/tac/hardwares/simple_hardware.h"

namespace mlir {
namespace TFL {
namespace tac {

class NNAPIHardware : public SimpleHardware {
 public:
  static constexpr char kId[] = "NNAPI";

  mlir::RewritePatternSet GetTransformations(
      MLIRContext* context) const override;

  mlir::TypeID GetTypeId() const override {
    return mlir::TypeID::get<NNAPIHardware>();
  }

namespace mlir {
namespace TFL {
namespace tac {
namespace {
#include "tensorflow/compiler/mlir/lite/experimental/tac/transforms/generated_transform_patterns.inc"
}  // namespace

constexpr char GpuHardware::kId[];  // Define kId.

mlir::RewritePatternSet GpuHardware::GetTransformations(
    MLIRContext* context) const {
  mlir::RewritePatternSet patterns(context);

			key1, ok1 := oldKeys[i].(map[string]any)
			key2, ok2 := oldKeys[j].(map[string]any)
			if ok1 && ok2 {
				key1Id, kid1Exists := key1["kid"]
				key2Id, kid2Exists := key2["kid"]
				if kid1Exists && kid2Exists {
					key1IdStr, ok1 := key1Id.(string)
					key2IdStr, ok2 := key2Id.(string)
					if ok1 && ok2 {
						return key1IdStr < key2IdStr
					}
				}
			}
			return len(key1) < len(key2)
		})