public void setAvailable_PercentileRanks(double[] values) {
        setAvailable_PercentileRanks(values, null);
    }

    public void setAvailable_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setAvailable_PercentileRanks("available", values, opLambda);
    }

    public void setAvailable_PercentileRanks(String name, double[] values,

    public void setAvailable_PercentileRanks(double[] values) {
        setAvailable_PercentileRanks(values, null);
    }

    public void setAvailable_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setAvailable_PercentileRanks("available", values, opLambda);
    }

    public void setAvailable_PercentileRanks(String name, double[] values,

    }
    return uniqueIndex(values.iterator(), keyFunction);
  }

  /**
   * Returns a map with the given {@code values}, indexed by keys derived from those values. In
   * other words, each input value produces an entry in the map whose key is the result of applying
   * {@code keyFunction} to that value. These entries appear in the same order as the input values.
   * Example usage:

    }
    return uniqueIndex(values.iterator(), keyFunction);
  }

  /**
   * Returns a map with the given {@code values}, indexed by keys derived from those values. In
   * other words, each input value produces an entry in the map whose key is the result of applying
   * {@code keyFunction} to that value. These entries appear in the same order as the input values.
   * Example usage:

    public void setHitCount_PercentileRanks(double[] values) {
        setHitCount_PercentileRanks(values, null);
    }

    public void setHitCount_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setHitCount_PercentileRanks("hitCount", values, opLambda);
    }

    *, dependant: Dependant, values: dict[str, Any], is_coroutine: bool
) -> Any:
    # Only called by get_request_handler. Has been split into its own function to
    # facilitate profiling endpoints, since inner functions are harder to profile.
    assert dependant.call is not None, "dependant.call must be a function"

    if is_coroutine:
        return await dependant.call(**values)
    else:

  for (int i = 0; i < len; ++i) {
    values[i] = TF_NewBuffer();
    status->status = MessageToBuffer(attr->list().shape(i), values[i]);
    if (!status->status.ok()) {
      // Delete everything allocated to far, the operation has failed.
      for (int j = 0; j <= i; ++j) {
        TF_DeleteBuffer(values[j]);
      }
      return;
    }
  }
}

     * Returns true if this reference contains an active value, meaning one that is still considered
     * present in the cache. Active values consist of live values, which are returned by cache
     * lookups, and dead values, which have been evicted but awaiting removal. Non-active values
     * consist strictly of loading values, though during refresh a value may be both active and
     * loading.
     */
    boolean isActive();
  }

public void clear(); } org/codehaus/plexus/util/FastMap$Values$1.class package org.codehaus.plexus.util; synchronized class FastMap$Values$1 implements java.util.Iterator { FastMap$EntryImpl after; FastMap$EntryImpl before; void FastMap$Values$1(FastMap$Values); public void remove(); public boolean hasNext(); public Object next(); } org/codehaus/plexus/util/FastMap$Values.class package org.codehaus.plexus.util; synchronized class FastMap$Values extends java.util.AbstractCollection { private void F...

          <name>stringFiltering</name>
          <version>4.1.0+</version>
          <description>
            <![CDATA[
            Whether resources are filtered to replace tokens with parameterized values.
            The values are taken from the {@code properties} element and from the properties
            in the files listed in the {@code filters} element.

            <p>The default value is {@code false}.</p>
            ]]>