// like this:
//
// 	type MyAwesomeAPIObject struct {
// 	     runtime.TypeMeta    `json:",inline"`
// 	     ... // other fields
// 	}
//
// func (obj *MyAwesomeAPIObject) SetGroupVersionKind(gvk *metav1.GroupVersionKind) { metav1.UpdateTypeMeta(obj,gvk) }; GroupVersionKind() *GroupVersionKind
//

package main

// Import Go and NATS packages
import (
 "fmt"
 "runtime"

 "github.com/nats-io/stan.go"
)

func main() {

 var stanConnection stan.Conn

 subscribe := func() {
  fmt.Printf("Subscribing to subject 'bucketevents'\n")
  stanConnection.Subscribe("bucketevents", func(m *stan.Msg) {

   // Handle the message
   fmt.Printf("Received a message: %s\n", string(m.Data))
  })
 }

  // already exists.
  virtual absl::Status AddFunctionDef(const FunctionDef& fdef) = 0;

  // Notifies about the function removal.
  virtual absl::Status AddRemoveFunctionNotifier(
      const string& func, std::function<void()> notifier) = 0;

  // Same as `AddFunctionDef`, but additionally saves the `stack_traces` under
  // the key of the function definition name (to be retrieved during function
  // instantiation).

  status->status = MessageToBuffer(*run_metadata, buf);
}

namespace {
TFE_Op* GetFunc(TFE_Context* ctx, const tensorflow::NameAttrList& func,
                TF_Status* status) {
  TFE_Op* func_op = TFE_NewOp(ctx, func.name().data(), status);
  for (const auto& attr : func.attr()) {
    if (!status->status.ok()) return nullptr;
    SetOpAttrValueScalar(ctx, func_op, attr.second, attr.first.data(), status);

	Healing() *healingTracker
	DiskInfo(ctx context.Context, opts DiskInfoOptions) (info DiskInfo, err error)
	NSScanner(ctx context.Context, cache dataUsageCache, updates chan<- dataUsageEntry, scanMode madmin.HealScanMode, shouldSleep func() bool) (dataUsageCache, error)

	// Volume operations.
	MakeVol(ctx context.Context, volume string) (err error)
	MakeVolBulk(ctx context.Context, volumes ...string) (err error)

  int num_dims;  // Must be >= -1; -1 represents unknown rank.
  int64_t* dim_sizes;
} TF_Shape;

// Add a new parameter to a TensorFlow Function.
TF_AbstractTensor* TF_AddFunctionParameter(TF_ExecutionContext* func,
                                           TF_DataType dtype, TF_Shape shape,
                                           TF_Status* s);

// Create an operation suitable to use with the provided context. The operation

```go
package main

import (
	"context"
	"log"
	"net/url"
	"time"
	"fmt"

	"github.com/minio/minio-go/v7"
	"github.com/minio/minio-go/v7/pkg/credentials"
)

func main() {
	s3Client, err := minio.New("localhost:9000", &minio.Options{
		Creds:  credentials.NewStaticV4("minioadmin", "minioadmin", ""),
		Secure: false,
	})
	if err != nil {
		log.Fatalln(err)
	}

        ```
        """

        def decorator(func: DecoratedCallable) -> DecoratedCallable:
            self.add_api_websocket_route(
                path,
                func,
                name=name,
                dependencies=dependencies,
            )
            return func

        return decorator

    def include_router(
        self,

	{dataBlocks: 2, disks: 4, offDisks: 1, badDisks: 0, badStaleDisks: 0, blocksize: int64(blockSizeV2), size: oneMiByte * 64, algorithm: SHA256, shouldFail: false},              // 19
}

func TestErasureHeal(t *testing.T) {
	for i, test := range erasureHealTests {
		if test.offDisks < test.badStaleDisks {
			// test case sanity check

}

// getAPIError provides API Error for input API error code.
func getAPIError(code APIErrorCode) APIError {
	if apiErr, ok := errorCodes[code]; ok {
		return apiErr
	}
	return errorCodes.ToAPIErr(ErrInternalError)
}

// getAPIErrorResponse gets in standard error and resource value and
// provides a encodable populated response values