}
	uploadID := res.UploadID

	abortTestCases := []struct {
		bucketName      string
		objName         string
		uploadID        string
		expectedErrType error
	}{
		{"--", object, uploadID, BucketNameInvalid{}},
		{"foo", object, uploadID, BucketNotFound{}},
		{bucket, object, "foo-foo", InvalidUploadID{}},
		{bucket, object, uploadID, nil},
	}

### Step 2: Enable RabbitMQ bucket notification using MinIO client

We will enable bucket event notification to trigger whenever a JPEG image is uploaded or deleted `images` bucket on `myminio` server. Here ARN value is `arn:minio:sqs::1:amqp`. To understand more about ARN please follow [AWS ARN](http://docs.aws.amazon.com/general/latest/gr/aws-arns-and-namespaces.html) documentation.

		Bucket:   bucket,
		Object:   object,
		UploadID: uploadID,
	}
}

// ListObjectParts - lists all uploaded parts to an object in hashedSet.
func (z *erasureServerPools) ListObjectParts(ctx context.Context, bucket, object, uploadID string, partNumberMarker int, maxParts int, opts ObjectOptions) (ListPartsInfo, error) {
	if err := checkListPartsArgs(ctx, bucket, object, uploadID); err != nil {
		return ListPartsInfo{}, err
	}

}

// return URL for completing multipart upload.
// complete multipart upload request is sent after all parts are uploaded.
func getCompleteMultipartUploadURL(endPoint, bucketName, objectName, uploadID string) string {
	queryValue := url.Values{}
	queryValue.Set("uploadId", uploadID)
	return makeTestTargetURL(endPoint, bucketName, objectName, queryValue)
}

// return URL for listen bucket notification.

		return
	}

	if keyName, ok := formValues["Key"]; !ok {
		apiErr := errorCodes.ToAPIErr(ErrMalformedPOSTRequest)
		apiErr.Description = fmt.Sprintf("%s (%v)", apiErr.Description, errors.New("The name of the uploaded key is missing"))
		writeErrorResponse(ctx, w, apiErr, r.URL)
		return
	} else if fileName == "" && len(keyName) >= 1 {
		// if we can't get fileName. We use keyName[0] to fileName
		fileName = keyName[0]
	}

		HTTPStatusCode: http.StatusMethodNotAllowed,
	},
	ErrInvalidPart: {
		Code:           "InvalidPart",
		Description:    "One or more of the specified parts could not be found.  The part may not have been uploaded, or the specified entity tag may not match the part's entity tag.",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrMissingPart: {
		Code:           "InvalidRequest",

		{"path/to/my/testobject", nil},
		// TestXLStorage to use object is a directory now.
		{"object-as-dir", errIsNotRegular},
		// path segment uses previously uploaded object.
		{"myobject/testobject", errFileAccessDenied},
		// One path segment length is > 255 chars long.

}

// The []journal contains all the different versions of the object.
//
// This array can have 3 kinds of objects:
//
// ``object``: If the object is uploaded the usual way: putobject, multipart-put, copyobject
//
// ``delete``: This is the delete-marker
//
// ``legacyObject``: This is the legacy object in xlV1 format, preserved until its overwritten
//

			z.Object, bts, err = msgp.ReadStringBytes(bts)
			if err != nil {
				err = msgp.WrapError(err, "Object")
				return
			}
		case "UploadID":
			z.UploadID, bts, err = msgp.ReadStringBytes(bts)
			if err != nil {
				err = msgp.WrapError(err, "UploadID")
				return
			}
		case "StorageClass":
			z.StorageClass, bts, err = msgp.ReadStringBytes(bts)
			if err != nil {

# TF_LoadLibrary/tf.load_op_library) register their ops and kernels with this
# shared object directly.
#
# For example, from Python tf.load_op_library loads a custom op library (via
# dlopen() on Linux), the library finds libtensorflow_framework.so (no
# filesystem search takes place, since libtensorflow_framework.so has already