,"accumulate","additive","alignment-baseline","amplitude","ascent","attributename","attributetype","azimuth","basefrequency","baseline-shift","begin","bias","by","class","clip","clippathunits","clip-path","clip-rule","color","color-interpolation","color-interpolation-filters","color-profile","color-rendering","cx","cy","d","dx","dy","diffuseconstant","direction","display","divisor","dur","edgemode","elevation","end","exponent","fill","fill-opacity","fill-rule","filter","filterunits","flood-color...

 * it being arbitrarily reordered, and you want to avoid that copy, you can use {@code
 * computeInPlace} instead of {@code compute}.
 *
 * <h3>Definition and notes on interpolation</h3>
 *
 * <p>The definition of the kth q-quantile of N values is as follows: define x = k * (N - 1) / q; if
 * x is an integer, the result is the value which would appear at index x in the sorted dataset

            place during the execution of a plugin. This field must be managed
            by the generated parser and formatter classes in order to allow it
            to survive model interpolation.
          </description>
          <type>String</type>
        </field>
      </fields>
      <codeSegments>
        <codeSegment>
            <version>4.0.0+</version>
            <code>

*   Added warmup capabilities to `tf.keras.optimizers.schedules.CosineDecay` learning rate scheduler. You can now specify an initial and target learning rate, and our scheduler will perform a linear interpolation between the two after which it will begin a decay phase.

            0, 1.0,
            1, 1.5,
            2, 2.0,
            8, 5.0,
            9, POSITIVE_INFINITY, // interpolating between 5.0 and POSITIVE_INFINITY
            10, POSITIVE_INFINITY);
  }

  public void testScale_index_compute_doubleCollection_positiveInfinity() {
    // interpolating between 5.0 and POSITIVE_INFINITY
    assertThat(Quantiles.scale(10).index(9).compute(ONE_TO_FIVE_AND_POSITIVE_INFINITY))

            0, 1.0,
            1, 1.5,
            2, 2.0,
            8, 5.0,
            9, POSITIVE_INFINITY, // interpolating between 5.0 and POSITIVE_INFINITY
            10, POSITIVE_INFINITY);
  }

  public void testScale_index_compute_doubleCollection_positiveInfinity() {
    // interpolating between 5.0 and POSITIVE_INFINITY
    assertThat(Quantiles.scale(10).index(9).compute(ONE_TO_FIVE_AND_POSITIVE_INFINITY))