* - median with compute taking a double-collection and with computeInPlace;
   * - quartiles with index and with indexes taking int-varargs, and with compute taking a
   *   double-collection and with computeInPlace;
   * - scale with index and with indexes taking int-varargs, and with all overloads of compute
   *   taking a double-collection and with computeInPlace;

   * - median with compute taking a double-collection and with computeInPlace;
   * - quartiles with index and with indexes taking int-varargs, and with compute taking a
   *   double-collection and with computeInPlace;
   * - scale with index and with indexes taking int-varargs, and with all overloads of compute
   *   taking a double-collection and with computeInPlace;

    // b/80241237

    Cache<String, String> c = CacheBuilder.newBuilder().maximumSize(1).build();

    assertThat(c.asMap().compute("hash-1", (k, v) -> "a")).isEqualTo("a");
    assertThat(c.asMap().compute("hash-1", (k, v) -> "b")).isEqualTo("b");
    assertThat(c.asMap().compute("hash-1", (k, v) -> "c")).isEqualTo("c");
    assertThat(c.size()).isEqualTo(1);
    assertThat(c.asMap().computeIfAbsent("hash-2", k -> "")).isEqualTo("");

 *
 * <h3>Examples</h3>
 *
 * <p>To compute the median:
 *
 * {@snippet :
 * double myMedian = median().compute(myDataset);
 * }
 *
 * where {@link #median()} has been statically imported.
 *
 * <p>To compute the 99th percentile:
 *
 * {@snippet :
 * double myPercentile99 = percentiles().index(99).compute(myDataset);
 * }
 *

  type: KClass<T>,
  compute: () -> T,
): T {
  var computed: T? = null

  while (true) {
    val tags = get()

    // If the element is already present. Return it.
    val existing = tags[type]
    if (existing != null) return existing

    if (computed == null) {
      computed = compute()
    }

    // If we successfully add the computed element, we're done.

    assertEquals(0x388ee898bad75cbfL, hasher.hash().asLong());
  }

  /** Convenience method to compute a fingerprint on a full bytes array. */
  private static long fingerprint(byte[] bytes) {
    return fingerprint(bytes, bytes.length);
  }

  /** Convenience method to compute a fingerprint on a subset of a byte array. */
  private static long fingerprint(byte[] bytes, int length) {

}

includeBuild("../build-logic-settings")

// Shared basics for all
include("basics")

// Platform: defines shared dependency versions
include("build-platform")

// Compute the identity/version we are building and related details (like current git commit)
include("module-identity")

// Code quality rules common to :build-logic and the root build
include("code-quality-rules")

        with:
          # To be able to commit it needs to fetch the head of the branch, not the
          # merge commit
          ref: ${{ github.head_ref }}
          # And it needs the full history to be able to compute diffs
          fetch-depth: 0
          # A token other than the default GITHUB_TOKEN is needed to be able to trigger CI
          token: ${{ secrets.PRE_COMMIT }}

    }

    computedRuntimes {
        client = false
        daemon = false
        worker = false
    }

    // TODO: Most of these properties are the same across projects. We should
    // compute these at the settings-level instead of the project-level.
    identity {
        baseName = "gradle-$name"
        buildTimestamp = buildTimestamp()
        promotionBuild = isPromotionBuild

   * while iteration is in progress.
   *
   * <p>The returned {@code Iterable} can be iterated over multiple times. Every iterator will
   * compute its next element on the fly. It is thus possible to limit the traversal to a certain
   * number of nodes as follows:
   *
   * {@snippet :
   * Iterables.limit(Traverser.forGraph(graph).breadthFirst(node), maxNumberOfNodes);