}
    }

    /**
     * Indexes documents from a query log reader asynchronously.
     * @param queryLogReader The query log reader.
     * @param docPerReq The number of documents to process per request.
     * @param requestInterval The interval between requests.
     * @return A Promise that will be resolved with the SuggestIndexResponse or rejected with an error.
     */

	notify:
	  endpoint: "https://notify.endpoint" # notification endpoint to receive job status events
	  token: "Bearer xxxxx" # optional authentication token for the notification endpoint

	retry:
	  attempts: 10 # number of retries for the job before giving up
	  delay: "500ms" # least amount of delay between each retry
```

You can create and run multiple 'replication' jobs at a time there are no predefined limits set.

func (l *LastMinuteHistogram) Add(size int64, t time.Duration) {
	l[sizeToTag(size)].add(t)
}

// GetAvgData will return the average for each bucket from the last time minute.
// The number of objects is also included.
func (l *LastMinuteHistogram) GetAvgData() [sizeLastElemMarker]AccElem {
	var res [sizeLastElemMarker]AccElem
	for i, elem := range l[:] {
		res[i] = elem.getTotal()
	}
	return res

	}
	for i, tt := range tests {
		err := readCRLF(tt.reader)
		if err != tt.expectedErr {
			t.Errorf("Test %d: Expected %s, got %s this", i+1, tt.expectedErr, err)
		}
	}
}

// Tests parsing hex number into its uint64 decimal equivalent.
func TestParseHexUint(t *testing.T) {
	type testCase struct {
		in      string
		want    uint64
		wantErr string
	}
	tests := []testCase{

// NewDummyDataGen returns a ReadSeeker over the first `totalLength`
// bytes from the infinite stream consisting of repeated
// concatenations of `alphabets`.
//
// The skipOffset (generally = 0) can be used to skip a given number
// of bytes from the beginning of the infinite stream. This is useful
// to compare such streams of bytes that may be split up, because:
//
// Given the function:
//
//	f := func(r io.Reader) string {

    long numBits = Integer.MAX_VALUE;
    numBits++;

    LockFreeBitArray bitArray = new LockFreeBitArray(numBits);
    assertTrue(
        "BitArray.bitSize() must return a positive number, but was " + bitArray.bitSize(),
        bitArray.bitSize() > 0);

    // Ideally we would also test the bitSize() overflow of this BF, but it runs out of heap space

		{"http://:8080/path", Endpoint{}, -1, fmt.Errorf("invalid URL endpoint format: empty host name")},
		{"http://server:/path", Endpoint{}, -1, fmt.Errorf("invalid URL endpoint format: invalid port number")},
		{"https://93.184.216.34:808080/path", Endpoint{}, -1, fmt.Errorf("invalid URL endpoint format: port number must be between 1 to 65535")},

        assertEquals("This is new text with NUMBER numbers", new String(resultData.getData()));

        // Test getData with transformation
        TestAccessResultData<String> accessData = new TestAccessResultData<>("old value 456".getBytes());
        Object transformedData = transformer.getData(accessData);
        assertEquals("new value NUMBER", transformedData);
    }

    /**

</p>

<p>
This rule generalizes the previous rule to buffered channels.
It allows a counting semaphore to be modeled by a buffered channel:
the number of items in the channel corresponds to the number of active uses,
the capacity of the channel corresponds to the maximum number of simultaneous uses,
sending an item acquires the semaphore, and receiving an item releases
the semaphore.
This is a common idiom for limiting concurrency.

    return implied;
  }

  public int getNumElements() {
    if (numElements == null) {
      throw new IllegalStateException(
          "A compound CollectionSize doesn't specify a number of elements.");
    }
    return numElements;
  }

  @Retention(RetentionPolicy.RUNTIME)
  @Inherited
  @TesterAnnotation
  public @interface Require {
    CollectionSize[] value() default {};