the LICENSE file. //go:build !purego package sha3 import ( "crypto/internal/fips140/subtle" "crypto/internal/fips140deps/cpu" "crypto/internal/impl" ) // This file contains code for using the 'compute intermediate // message digest' (KIMD) and 'compute last message digest' (KLMD) // instructions to compute SHA-3 and SHAKE hashes on IBM Z. See // [z/Architecture Principles of Operation, Fourteen Edition]. // // [z/Architecture Principles of Operation, Fourteen Edition]: https://www.ibm.com/docs/e...

        /** User's group memberships. */
        protected volatile String[] groups;

        /** User's role assignments. */
        protected volatile String[] roles;

        /** User's computed permissions. */
        protected volatile String[] permissions;

        /** Entra ID authentication result. */
        protected IAuthenticationResult authResult;

        /**

  }

  public void testGet() {
    Object computed = new Object();
    LoadingCache<Object, Object> cache =
        CacheBuilder.newBuilder()
            .maximumSize(0)
            .removalListener(listener)
            .build(constantLoader(computed));

    Object key = new Object();
    assertThat(cache.getUnchecked(key)).isSameInstanceAs(computed);

  }

  public void testGet() {
    Object computed = new Object();
    LoadingCache<Object, Object> cache =
        CacheBuilder.newBuilder()
            .maximumSize(0)
            .removalListener(listener)
            .build(constantLoader(computed));

    Object key = new Object();
    assertThat(cache.getUnchecked(key)).isSameInstanceAs(computed);

   * - 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;

    response = client.post("/with-computed-field/", json={"name": "example"})
    response2 = client_no.post("/with-computed-field/", json={"name": "example"})
    assert response.status_code == response2.status_code == 200, response.text
    assert (
        response.json()
        == response2.json()
        == {
            "name": "example",
            "computed_field": "computed example",
        }
    )

the precision of the target type, preventing fusion that would discard that rounding.
</p>

<p>
For instance, some architectures provide a "fused multiply and add" (FMA) instruction
that computes <code>x*y + z</code> without rounding the intermediate result <code>x*y</code>.
These examples show when a Go implementation can use that instruction:
</p>

<pre>

And it will save the returned value in a <abbr title="A utility/system to store computed/generated values, to reuse them instead of computing them again.">"cache"</abbr> and pass it to all the "dependants" that need it in that specific request, instead of calling the dependency multiple times for the same request.

class CompileAll(
    model: CIBuildModel,
    stage: Stage,
) : OsAwareBaseGradleBuildType(os = Os.LINUX, stage = stage, init = {
        id(buildTypeId(model))
        name = "Compile All"
        description = "Compiles all production/test source code and warms up the build cache"

        features {
            publishBuildStatusToGithub(model)
        }

        applyDefaults(
            model,
            this,