*
     * @param b the buffer into which the data is read
     * @param off the start offset in array b at which the data is written
     * @param len the maximum number of bytes to read
     * @return the total number of bytes read into the buffer, or -1 if there is no more data
     * @throws IOException if an I/O error occurs
     */
    @Override

		if opts.autotune {
			// if we have less drives than concurrency then choose
			// only the concurrency to be number of drives to start
			// with - since default '32' might be big and may not
			// complete in total time of 10s.
			if globalEndpoints.NEndpoints() < concurrency {
				concurrency = globalEndpoints.NEndpoints()
			}

			// Check if we have local disks per pool less than

	}

	// Do we have enough data?
	if int64(getDataBlockLen(enBlocks, dataBlocks)) < length {
		return 0, reedsolomon.ErrShortData
	}

	// Counter to decrement total left to write.
	write := length

	// Counter to increment total written.
	var totalWritten int64

	// Write all data blocks to dst.
	for _, block := range enBlocks[:dataBlocks] {
		// Skip blocks until we have reached our offset.

        assertNotNull(ResolverType.RESOLVER_DNS, "RESOLVER_DNS should not be null.");
        assertNotNull(ResolverType.RESOLVER_LMHOSTS, "RESOLVER_LMHOSTS should not be null.");
    }

    /**
     * Tests the total number of enum constants.
     */
    @Test
    void testNumberOfEnumConstants() {
        // Ensure there are exactly 4 resolver types

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{bucket,api}}",
          "refId": "A"
        }
      ],
      "title": "Total Requests Rate",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

          "intervalFactor": 1,
          "legendFormat": "{{instance}}",
          "metric": "process_start_time_seconds",
          "refId": "A",
          "step": 60
        }
      ],
      "title": "Total S3 Ingress",
      "type": "stat"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "description": "",
      "fieldConfig": {

    assertEquals("abcd", mediaType.parameter("BOUNDARY"))
  }

  @Test fun testMultipleParameters() {
    val mediaType = parse("Message/Partial; number=2; total=3; id=\"oc=******@****.***\"")
    assertEquals("2", mediaType.parameter("number"))
    assertEquals("3", mediaType.parameter("total"))
    assertEquals("oc=******@****.***", mediaType.parameter("id"))
    assertNull(mediaType.parameter("foo"))
  }

    }

    /**
     * Returns total count of problems reported.
     */
    default int totalProblemsReported() {
        return problemsReportedFor(BuilderProblem.Severity.values());
    }

    /**
     * Returns count of problems reported for given severities.
     *
     * @param severities the severity levels to count problems for
     * @return the total count of problems for the specified severities
     */

Stellen Sie sich vor, Sie entwickeln eine Anwendung, mit der Sie Rechnungen erstellen können.

Diese Rechnungen haben eine `id`, einen optionalen `title`, einen `customer` (Kunde) und ein `total` (Gesamtsumme).

Der Benutzer Ihrer API (ein externer Entwickler) erstellt mit einem POST-Request eine Rechnung in Ihrer API.

Dann wird Ihre API (beispielsweise):

 *             are incremented, and the total loading time, in nanoseconds, is added to {@code
 *             totalLoadTime}.
 *         <li>When an exception is thrown while loading an entry, {@code missCount} and {@code
 *             loadExceptionCount} are incremented, and the total loading time, in nanoseconds, is
 *             added to {@code totalLoadTime}.