* {@code values}.
   *
   * <p>If these values are a sample drawn from a population, this is also an unbiased estimator of
   * the arithmetic mean of the population.
   *
   * @param values a nonempty series of values
   * @throws IllegalArgumentException if {@code values} is empty or contains any non-finite value
   * @deprecated Use {@link Stats#meanOf} instead, noting the less strict handling of non-finite
   *     values.

          "format": "time_series",
          "hide": true,
          "intervalFactor": 2,
          "legendFormat": "heap alloc",
          "refId": "D"
        },
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${datasource}"
          },
          "expr": "go_memstats_alloc_bytes{app=\"istiod\"}",
          "format": "time_series",
          "intervalFactor": 2,

   *
   * @param values a series of values, which will be converted to {@code double} values (this may
   *     cause loss of precision)
   */
  public void addAll(Iterable<? extends Number> values) {
    for (Number value : values) {
      add(value.doubleValue());
    }
  }

  /**
   * Adds the given values to the dataset.
   *

   *
   * @param values a series of values
   */
  public static Stats of(double... values) {
    StatsAccumulator accumulator = new StatsAccumulator();
    accumulator.addAll(values);
    return accumulator.snapshot();
  }

  /**
   * Returns statistics over a dataset containing the given values.
   *
   * @param values a series of values
   */
  public static Stats of(int... values) {

          },
          "expr": "sum(rate(istio_requests_total{reporter=\"source\", response_code!~\"5.*\"}[1m])) / sum(rate(istio_requests_total{reporter=\"source\"}[1m]))",
          "format": "time_series",
          "intervalFactor": 1,
          "refId": "A",
          "step": 4
        }
      ],
      "title": "Global Success Rate (non-5xx responses)",
      "type": "stat"
    },
    {

// Exactly one "target" type should be set.
message ExternalMetricSource {
  // metricName is the name of the metric in question.
  optional string metricName = 1;

  // metricSelector is used to identify a specific time series
  // within a given metric.
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.LabelSelector metricSelector = 2;

  // targetValue is the target value of the metric (as a quantity).

          ImmutableList.of(2, 3),
          ImmutableList.of(1, 2),
          ImmutableList.of(3, 5),
          ImmutableList.of(2, 4),
          ImmutableList.of(1, 2, 3, 5, 6, 8, 9));

  /*
   * We have a whole series of abstract test classes that "stack", so e.g. the tests for filtered
   * NavigableSets inherit the tests for filtered Iterables, Collections, Sets, and SortedSets. The
   * actual implementation tests are further down.
   */

          },
          "editorMode": "code",
          "exemplar": false,
          "expr": "max(minio_node_drive_online_total{job=~\"$scrape_jobs\",server=\"$server\"})",
          "format": "time_series",
          "hide": false,
          "instant": true,
          "interval": "",
          "intervalFactor": 1,
          "legendFormat": ".",
          "metric": "process_start_time_seconds",

    title: How to monitor FastAPI application performance using Python agent
  - author: Jean-Baptiste Rocher
    author_link: https://hashnode.com/@jibrocher
    link: https://dev.indooroutdoor.io/series/fastapi-react-poll-app
    title: Building the Poll App From Django Tutorial With FastAPI And React
  - author: Silvan Melchior
    author_link: https://github.com/silvanmelchior

  public void add(double x, double y) {
    // We extend the recursive expression for the one-variable case at Art of Computer Programming
    // vol. 2, Knuth, 4.2.2, (16) to the two-variable case. We have two value series x_i and y_i.
    // We define the arithmetic means X_n = 1/n \sum_{i=1}^n x_i, and Y_n = 1/n \sum_{i=1}^n y_i.
    // We also define the sum of the products of the differences from the means