@Test
  fun hashCode_usesIdentityHashCode_legacyCase() {
    val cs = CipherSuite.TLS_RSA_EXPORT_WITH_RC4_40_MD5 // This one's javaName starts with "SSL_".
    assertThat(cs.hashCode(), cs.toString())
      .isEqualTo(System.identityHashCode(cs))
  }

  @Test
  fun hashCode_usesIdentityHashCode_regularCase() {
    // This one's javaName matches the identifier.
    val cs = CipherSuite.TLS_RSA_WITH_AES_128_CBC_SHA256

# Sub Applications - Mounts { #sub-applications-mounts }

If you need to have two independent FastAPI applications, with their own independent OpenAPI and their own docs UIs, you can have a main app and "mount" one (or more) sub-application(s).

## Mounting a **FastAPI** application { #mounting-a-fastapi-application }

        } catch (final UnsupportedEncodingException e) {
            throw new UnsupportedEncodingRuntimeException(e);
        }
    }

    /**
     * Polls an encryption cipher from the queue, creating a new one if none are available.
     *
     * @return an encryption cipher
     */
    protected Cipher pollEncryptoCipher() {
        Cipher cipher = encryptoQueue.poll();
        if (cipher == null) {

 * instances.</p>
 *
 * <p><dfn>Project aggregation</dfn> allows building several projects together. This is only
 * for projects that are built, hence available on the file system. One project,
 * called the <dfn>aggregator project</dfn> lists one or more <dfn>modules</dfn>
 * which are relative pointers on the file system to other projects. This is done using
 * the {@code /project/modules/module} elements of the POM in the aggregator project.

---

"_If you're looking to learn one **modern framework** for building REST APIs, check out **FastAPI** [...] It's fast, easy to use and easy to learn [...]_"

"_We've switched over to **FastAPI** for our **APIs** [...] I think you'll like it [...]_"

    return new SampleElements<>(
        mapEntry("one", "January"),
        mapEntry("two", "February"),
        mapEntry("three", "March"),
        mapEntry("four", "April"),
        mapEntry("five", "May"));
  }

  @Override
  public SampleElements<String> sampleKeys() {
    return new SampleElements<>("one", "two", "three", "four", "five");
  }

  @Override

    return new SampleElements<>(
        mapEntry("one", "January"),
        mapEntry("two", "February"),
        mapEntry("three", "March"),
        mapEntry("four", "April"),
        mapEntry("five", "May"));
  }

  @Override
  public SampleElements<String> sampleKeys() {
    return new SampleElements<>("one", "two", "three", "four", "five");
  }

  @Override

import static com.google.common.collect.testing.features.CollectionFeature.NON_STANDARD_TOSTRING;
import static com.google.common.collect.testing.features.CollectionSize.ONE;
import static com.google.common.collect.testing.features.CollectionSize.SEVERAL;
import static com.google.common.collect.testing.features.CollectionSize.ZERO;

import com.google.common.annotations.GwtCompatible;

   * {@link LoadingCache#get(Object) get(K)} method instead of this one.
   *
   * <p>Among the improvements that this method and {@code LoadingCache.get(K)} both provide are:
   *
   * <ul>
   *   <li>{@linkplain LoadingCache#get(Object) awaiting the result of a pending load} rather than
   *       starting a redundant one
   *   <li>eliminating the error-prone caching boilerplate

		{
			ipList:       []string{"127.0.0.1", "192.168.1.106"},
			sortedIPList: []string{"192.168.1.106", "127.0.0.1"},
		},
		// With a list of only one element nothing to sort.
		{
			ipList:       []string{"hostname"},
			sortedIPList: []string{"hostname"},
		},
		// With a list of only one element nothing to sort.
		{
			ipList:       []string{"127.0.0.1"},
			sortedIPList: []string{"127.0.0.1"},
		},