double y = 1.2;
    LinearTransformation transformation = LinearTransformation.horizontal(y);
    assertHorizontalLinearTransformation(transformation, y);
  }

  public void testHorizontal_infiniteY() {
    assertThrows(
        IllegalArgumentException.class,
        () -> LinearTransformation.horizontal(Double.POSITIVE_INFINITY));
  }

  public void testHorizontal_nanY() {

    double y = 1.2;
    LinearTransformation transformation = LinearTransformation.horizontal(y);
    assertHorizontalLinearTransformation(transformation, y);
  }

  public void testHorizontal_infiniteY() {
    assertThrows(
        IllegalArgumentException.class,
        () -> LinearTransformation.horizontal(Double.POSITIVE_INFINITY));
  }

  public void testHorizontal_nanY() {

   * integrals).
   *
   * Note well that if, for this function, we chose a horizontal line, at height of exactly (1/QPS),
   * then the effect of the function is non-existent: we serve storedPermits at exactly the same
   * cost as fresh ones (1/QPS is the cost for each). We use this trick later.
   *
   * If we pick a function that goes /below/ that horizontal line, it means that we reduce the area

  // +optional
  optional string message = 5;
}

// HorizontalPodAutoscalerList is a list of horizontal pod autoscaler objects.
message HorizontalPodAutoscalerList {
  // metadata is the standard list metadata.
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.ListMeta metadata = 1;

  // items is the list of horizontal pod autoscaler objects.
  repeated HorizontalPodAutoscaler items = 2;
}

   * either the {@code x} or {@code y} data must have a non-zero population variance (i.e. {@code
   * xStats().populationVariance() > 0.0 || yStats().populationVariance() > 0.0}). The result is
   * guaranteed to be horizontal if there is variance in the {@code x} data but not the {@code y}
   * data, and vertical if there is variance in the {@code y} data but not the {@code x} data.
   *

}

// list of horizontal pod autoscaler objects.
message HorizontalPodAutoscalerList {
  // Standard list metadata.
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.ListMeta metadata = 1;

  // items is the list of horizontal pod autoscaler objects.
  repeated HorizontalPodAutoscaler items = 2;
}

// specification of a horizontal pod autoscaler.
message HorizontalPodAutoscalerSpec {

  // +optional
  optional string message = 5;
}

// HorizontalPodAutoscalerList is a list of horizontal pod autoscaler objects.
message HorizontalPodAutoscalerList {
  // metadata is the standard list metadata.
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.ListMeta metadata = 1;

  // items is the list of horizontal pod autoscaler objects.
  repeated HorizontalPodAutoscaler items = 2;
}

  // +optional
  optional string message = 5;
}

// HorizontalPodAutoscaler is a list of horizontal pod autoscaler objects.
message HorizontalPodAutoscalerList {
  // metadata is the standard list metadata.
  // +optional
  optional k8s.io.apimachinery.pkg.apis.meta.v1.ListMeta metadata = 1;

  // items is the list of horizontal pod autoscaler objects.
  repeated HorizontalPodAutoscaler items = 2;
}

      "id": 52,
      "options": {
        "displayMode": "lcd",
        "maxVizHeight": 300,
        "minVizHeight": 16,
        "minVizWidth": 8,
        "namePlacement": "auto",
        "orientation": "horizontal",
        "reduceOptions": {
          "calcs": [
            "lastNotNull"
          ],
          "fields": "",
          "values": false
        },
        "showUnfilled": true,

   * either the {@code x} or {@code y} data must have a non-zero population variance (i.e. {@code
   * xStats().populationVariance() > 0.0 || yStats().populationVariance() > 0.0}). The result is
   * guaranteed to be horizontal if there is variance in the {@code x} data but not the {@code y}
   * data, and vertical if there is variance in the {@code y} data but not the {@code x} data.
   *