cache =
        CacheBuilder.newBuilder()
            .concurrencyLevel(segments)
            .maximumSize(maximumSize)
            .build(
                new CacheLoader<Integer, Integer>() {
                  @Override
                  public Integer load(Integer from) {
                    return (int) misses.incrementAndGet();
                  }
                });

    // To start, fill up the cache.

    cache =
        CacheBuilder.newBuilder()
            .concurrencyLevel(segments)
            .maximumSize(maximumSize)
            .build(
                new CacheLoader<Integer, Integer>() {
                  @Override
                  public Integer load(Integer from) {
                    return (int) misses.incrementAndGet();
                  }
                });

    // To start, fill up the cache.

					}
					buf := bytes.NewBuffer(nil)
					if _, err = msgp.CopyToJSON(buf, bytes.NewReader(b)); err != nil {
						return err
					}

					dec := json.NewDecoder(buf)
					// Use number to preserve integers.
					dec.UseNumber()
					var htr map[string]any
					if err = dec.Decode(&htr); err != nil {
						return err
					}
					ht[file.Name] = htr
				}
			}
			b, err := json.MarshalIndent(ht, "", "  ")

  int elements;

  Set<Set<Integer>> powerSet;

  @BeforeExperiment
  void setUp() {
    Set<Integer> set = ContiguousSet.create(Range.closed(1, elements), integers());
    powerSet = Sets.powerSet(set);
  }

  @Benchmark
  int iteration(int reps) {
    int sum = 0;
    for (int i = 0; i < reps; i++) {
      for (Set<Integer> subset : powerSet) {
        for (Integer value : subset) {
          sum += value;

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

//go:build ignore

// Compute Fibonacci numbers with two goroutines
// that pass integers back and forth.  No actual
// concurrency, just threads and synchronization
// and foreign code on multiple pthreads.

package main

import (
	big "."
	"runtime"
)

  public PackageSanityTests() {
    publicApiOnly(); // Many package-private classes are tested through the public API.
    setDefault(DiscreteDomain.class, DiscreteDomain.integers());
  }

   * default rounding mode: if the two nearest representable values are equally near, the one with
   * the least significant bit zero is chosen. (In such cases, both of the nearest representable
   * values are even integers; this method returns the one that is a multiple of a greater power of
   * two.)
   *
   * @throws ArithmeticException if {@code mode} is {@link RoundingMode#UNNECESSARY} and {@code x}

/** Benchmarks some algorithms providing the same functionality as {@link Quantiles}. */
@NullUnmarked
public class QuantilesBenchmark {

  private static final ContiguousSet<Integer> ALL_DECILE_INDEXES =
      ContiguousSet.create(Range.closed(0, 10), DiscreteDomain.integers());

  @Param({"10", "100", "1000", "10000", "100000"})
  int datasetSize;

  @Param QuantilesAlgorithm algorithm;

Keep in mind that JSON only supports `str` as keys.

But Pydantic has automatic data conversion.

This means that, even though your API clients can only send strings as keys, as long as those strings contain pure integers, Pydantic will convert them and validate them.

And the `dict` you receive as `weights` will actually have `int` keys and `float` values.

///

## Recap { #recap }

   * default rounding mode: if the two nearest representable values are equally near, the one with
   * the least significant bit zero is chosen. (In such cases, both of the nearest representable
   * values are even integers; this method returns the one that is a multiple of a greater power of
   * two.)
   *
   * @throws ArithmeticException if {@code mode} is {@link RoundingMode#UNNECESSARY} and {@code x}