err = decoder.Decode(multipartResponse)
	if err != nil {
		t.Fatalf("Error decoding the recorded response Body")
	}
	uploadID := multipartResponse.UploadID

	a := 0
	b := globalMinPartSize
	var parts []CompletePart
	for partNumber := 1; partNumber <= 2; partNumber++ {
		// initialize HTTP NewRecorder, this records any mutations to response writer inside the handler.
		rec := httptest.NewRecorder()

	if err != nil {
		return err
	}
	key := eventData.S3.Bucket.Name + "/" + objectName

	data, err := json.Marshal(event.Log{EventName: eventData.EventName, Key: key, Records: []event.Event{eventData}})
	if err != nil {
		return err
	}

	req, err := http.NewRequest(http.MethodPost, target.args.Endpoint.String(), bytes.NewReader(data))
	if err != nil {
		return err
	}

```
mc cp myphoto.jpg myminio/images
```

You should receive the following event notification via RabbitMQ once the upload completes.

```py
python rabbit.py

// maxUnconsumedHealResultItems. When it blocks, the heal sequence
// routine is effectively paused - this happens when the server has
// accumulated the maximum number of heal records per heal
// sequence. When the client consumes further records, the heal
// sequence automatically resumes. The return value indicates if the
// operation succeeded.
func (h *healSequence) pushHealResultItem(r madmin.HealResultItem) error {

class CredentialsInternalTest {

    @Mock
    CIFSContext mockContext;

    /**
     * Simple in-test implementation of CredentialsInternal to exercise the API surface.
     * It validates inputs, records calls, and delegates some behavior to collaborators
     * so we can verify interactions.
     */
    static class TestCredentials implements CredentialsInternal {
        private final String domain;

        }
    }

    @Override
    public void flush() {
        cache.clear();
    }

    @Override
    public void register(MavenProject project, Key cacheKey, CacheRecord record) {
        // default cache does not track record usage
    }

  std::unordered_map<tensorflow::string, tensorflow::Node*> name_map
      TF_GUARDED_BY(mu);

  // The keys of this map are all the active sessions using this graph. Each
  // value records whether the graph has been mutated since the corresponding
  // session has been run (this is detected in RecordMutation function). If the
  // string is empty, no mutation has occurred. Otherwise the string is a

    //                                               -------
    /**
     * Displays the details of a specific failure URL record.
     *
     * @param crudMode the CRUD operation mode (should be DETAILS)
     * @param id the ID of the failure URL record to display
     * @return HTML response for the failure URL details page
     */
    @Execute
    @Secured({ ROLE, ROLE + VIEW })

				}
			} else {
				var outputRecord sql.Record
				// We will attempt to reuse the records in the table.
				// The type of these should not change.
				// The queue should always have at least one entry left for this to work.
				outputQueue = outputQueue[:len(outputQueue)+1]
				if t := outputQueue[len(outputQueue)-1]; t != nil {
					// If the output record is already set, we reuse it.
					outputRecord = t

	}
	defer r.Close()
	b.ReportAllocs()

	b.SetBytes(int64(len(f)))
	var record sql.Record
	for b.Loop() {
		r, err = NewReader(io.NopCloser(bytes.NewBuffer(f)), &args)
		if err != nil {
			b.Fatalf("Reading init failed with %s", err)
		}
		for err == nil {
			record, err = r.Read(record)
			if err != nil && err != io.EOF {
				b.Fatalf("Reading failed with %s", err)
			}
		}