.of(MANY_VALUES_SUM_OF_PRODUCTS_OF_DELTAS / MANY_VALUES_COUNT);
    // For datasets of many double values, we test many combinations of finite and non-finite
    // x-values:
    for (ManyValues values : ALL_MANY_VALUES) {
      PairedStatsAccumulator accumulator =
          createFilledPairedStatsAccumulator(values.asIterable(), OTHER_MANY_VALUES);
      PairedStatsAccumulator accumulatorByAddAllPartitionedPairedStats =

    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,

  /**
   * Stores a collection of values with the same key, replacing any existing values for that key.
   *
   * <p>Because a {@code SortedSetMultimap} has unique sorted values for a given key, this method
   * returns a {@link SortedSet}, instead of the {@link java.util.Collection} specified in the
   * {@link Multimap} interface.
   *
   * <p>Any duplicates in {@code values} will be stored in the multimap once.
   */

        v.emplace_back(static_cast<const char*>(values[i]), lengths[i]);
      }
      op_->node_builder.Attr(attr_name, v);
    }
    return absl::OkStatus();
  }
  absl::Status SetAttrFloatList(const char* attr_name, const float* values,
                                int num_values) override {
    op_->node_builder.Attr(attr_name,
                           ArraySlice<const float>(values, num_values));
    return absl::OkStatus();

import org.apache.maven.model.building.ModelProblemCollector;

/**
 * Handles inheritance of model values.
 *
 * @deprecated use {@link org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
public interface InheritanceAssembler {

    /**
     * Merges values from the specified parent model into the given child model. Implementations are expected to keep

                call=call, stack=async_exit_stack, sub_values=solved_result.values
            )
        elif is_coroutine_callable(call):
            solved = await call(**solved_result.values)
        else:
            solved = await run_in_threadpool(call, **solved_result.values)
        if sub_dependant.name is not None:
            values[sub_dependant.name] = solved
        if sub_dependant.cache_key not in dependency_cache:

    // Add boundary values manually to avoid over/under flow (this covers 2^N for 0 and 31).
    intValues.add(Integer.MAX_VALUE - 1, Integer.MAX_VALUE);
    // Add values up to 40. This covers cases like "square of a prime" and such.
    for (int i = 1; i <= 40; i++) {
      intValues.add(i);
    }
    // Now add values near 2^N for lots of values of N.

    // Add boundary values manually to avoid over/under flow (this covers 2^N for 0 and 31).
    intValues.add(Integer.MAX_VALUE - 1, Integer.MAX_VALUE);
    // Add values up to 40. This covers cases like "square of a prime" and such.
    for (int i = 1; i <= 40; i++) {
      intValues.add(i);
    }
    // Now add values near 2^N for lots of values of N.

Arenas allocate large chunks of memory for Go values, so they're likely to
be inefficient for allocating only small amounts of small Go values. They're
best used in bulk, on the order of MiB of memory allocated on each use.

Note that by allowing for this limited form of manual memory allocation
that use-after-free bugs are possible with regular Go values. This package

      priorityClassName: "{{ .Values.priorityClassName }}"
      {{- end }}
      {{- if .Values.runtimeClassName }}
      runtimeClassName: "{{ .Values.runtimeClassName }}"
      {{- end }}
      {{- if and .Values.securityContext.enabled .Values.persistence.enabled }}
      securityContext:
        {{ omit .Values.securityContext "enabled" | toYaml | nindent 8 }}
      {{- end }}