namespace tensorflow {

// Builds and returns a `TracingContext` using the default tracing impl.
AbstractContext* BuildFunction(const char* fn_name);

// Creates parameters (placeholders) in the tracing `ctx` using the shape and
// dtype of `inputs`.
Status CreateParamsForInputs(AbstractContext* ctx,
                             absl::Span<AbstractTensorHandle* const> inputs,
                             std::vector<AbstractTensorHandle*>* params);

  public void testGenericInterface() {
    // test the 1st generic interface on the class
    Type fType = Supplier.class.getTypeParameters()[0];
    assertEquals(
        Integer.class, TypeToken.of(IntegerStringFunction.class).resolveType(fType).getRawType());

    // test the 2nd generic interface on the class
    Type predicateParameterType = Predicate.class.getTypeParameters()[0];
    assertEquals(

}

func reqSignatureV4Verify(r *http.Request, region string, stype serviceType) (s3Error APIErrorCode) {
	sha256sum := getContentSha256Cksum(r, stype)
	switch {
	case isRequestSignatureV4(r):
		return doesSignatureMatch(sha256sum, r, region, stype)
	case isRequestPresignedSignatureV4(r):
		return doesPresignedSignatureMatch(sha256sum, r, region, stype)
	default:
		return ErrAccessDenied
	}
}

	}
}

// metricDisplay - contains info on a metric for display purposes.
type metricDisplay struct {
	Name   string   `json:"name"`
	Help   string   `json:"help"`
	Type   string   `json:"type"`
	Labels []string `json:"labels"`
}

func (md metricDisplay) String() string {
	return fmt.Sprintf("Name: %s\nType: %s\nHelp: %s\nLabels: {%s}\n", md.Name, md.Type, md.Help, strings.Join(md.Labels, ","))
}

import kotlin.reflect.KClass
import kotlin.reflect.KType

internal fun SmartPrinter.printTypeWithShortNames(type: KType, shouldRenderFqName: (KType) -> Boolean = { false }) {
    fun typeConversion(type: KType): String {
        val nullableSuffix = if (type.isMarkedNullable) "?" else ""
        val simpleName = if (shouldRenderFqName(type)) {
            type.qualifiedName
        } else {
            type.simpleName
        }

  owner->reference.Unref();
  delete owner;
}

// Converts TF_DATAType to DLPack data type.
DLDataType GetDlDataType(TF_DataType data_type, TF_Status* status) {
  DLDataType dtype;
  dtype.lanes = 1;
  dtype.bits = TF_DataTypeSize(data_type) * 8;
  switch (data_type) {
    case TF_DataType::TF_BOOL:
      dtype.code = DLDataTypeCode::kDLBool;
      break;
    case TF_DataType::TF_HALF:
    case TF_DataType::TF_FLOAT:

	return signedHeaders, ErrNone
}

// signValues data type represents structured form of AWS Signature V4 header.
type signValues struct {
	Credential    credentialHeader
	SignedHeaders []string
	Signature     string
}

// preSignValues data type represents structured form of AWS Signature V4 query string.
type preSignValues struct {
	signValues
	Date    time.Time
	Expires time.Duration
}

  TFE_TensorHandle* hcpu = TestMatrixTensorHandle(ctx);
  const char* device_type = TFE_TensorHandleDeviceType(hcpu, status.get());
  ASSERT_EQ(TF_OK, TF_GetCode(status.get())) << TF_Message(status.get());
  ASSERT_TRUE(absl::StrContains(device_type, "CPU")) << device_type;
  int device_id = TFE_TensorHandleDeviceID(hcpu, status.get());

    fun createConversion(type: KType): HLParameterConversion {
        val nullable = type.isMarkedNullable
        val kClass = type.classifier as KClass<*>
        return tryMapAllowedType(kClass)
            ?: tryMapPsiElementType(kClass)
            ?: tryMapFirTypeToKtType(kClass, nullable)
            ?: tryMapPlatformType(type, kClass)
            ?: error("Unsupported type $type, consider add corresponding mapping")
    }

                addAll(collectImportsForDiagnosticParameter(diagnosticParameter))
            }
        }
    }

    protected fun HLDiagnosticList.containsClashingBySimpleNameType(type: KType): Boolean {
        return diagnostics.any { it.className == type.simpleName }
    }

    protected abstract fun collectImportsForDiagnosticParameter(diagnosticParameter: HLDiagnosticParameter): Collection<String>