*/
  protected abstract char @Nullable [] escape(char c);

  /**
   * Returns the escaped form of a given literal string, starting at the given index. This method is
   * called by the {@link #escape(String)} method when it discovers that escaping is required. It is
   * protected to allow subclasses to override the fastpath escaping function to inline their

    int listenerCount = 20;
    CountDownLatch listenerLatch = new CountDownLatch(listenerCount);

    // Test that listeners added both before and after the value is available
    // get called correctly.
    for (int i = 0; i < 20; i++) {

      // Right in the middle start up a thread to close the latch.
      if (i == 10) {
        new Thread(() -> latch.countDown()).start();
      }

  /** Constructor for use by subclasses. */
  protected UnicodeEscaper() {}

  /**
   * Returns the escaped form of the given Unicode code point, or {@code null} if this code point
   * does not need to be escaped. When called as part of an escaping operation, the given code point
   * is guaranteed to be in the range {@code 0 <= cp <= Character#MAX_CODE_POINT}.
   *

  /** Constructor for use by subclasses. */
  protected UnicodeEscaper() {}

  /**
   * Returns the escaped form of the given Unicode code point, or {@code null} if this code point
   * does not need to be escaped. When called as part of an escaping operation, the given code point
   * is guaranteed to be in the range {@code 0 <= cp <= Character#MAX_CODE_POINT}.
   *

 * instantiated. Similar to <code>System</code> properties the namespace
 * is global therefore property names should be unique. Before use,
 * the <code>load</code> method should be called with the name of a
 * <code>Properties</code> file (or <code>null</code> indicating no
 * file) to initialize the <code>Config</code>. The <code>System</code>

  if (enable) {
    optimizer_options->set_global_jit_level(tensorflow::OptimizerOptions::ON_1);

    // These XLA flags are needed to trigger XLA properly from C (more generally
    // non-Python) clients. If this API is called again with `enable` set to
    // false, it is safe to keep these flag values as is.
    tensorflow::MarkForCompilationPassFlags* flags =
        tensorflow::GetMarkForCompilationPassFlags();

        assertTrue(ex.getMessage().contains("Server does not support NTLM authentication"));

        // Verify the decision consulted the configuration
        // getConfig() is called twice: once in Kerb5Authenticator and once in NtlmPasswordAuthenticator
        verify(tc, times(2)).getConfig();
        verify(config, times(1)).isAllowNTLMFallback();
        verify(config, times(1)).isUseRawNTLM();
    }

    }

    /**
     * Creates a new NetBIOS socket with the specified parameters.
     *
     * @param address the NetBIOS address to connect to
     * @param calledName the called NetBIOS name (optional)
     * @param port the port number (0 for default)
     * @param localAddr the local address to bind to
     * @param localPort the local port to bind to

        assertEquals(testName, mockNetbiosName.getName());
        assertEquals(testScope, mockNetbiosName.getScope());
        assertEquals(testType, mockNetbiosName.getNameType());

        // Verify all methods were called
        verify(mockNetbiosName).getName();
        verify(mockNetbiosName).getScope();
        verify(mockNetbiosName).getNameType();
    }

    @Test

      @ParametricNullness T instance, Funnel<? super T> funnel);

  /**
   * Computes a hash code based on the data that have been provided to this hasher. The result is
   * unspecified if this method is called more than once on the same instance.
   */
  HashCode hash();

  /**
   * {@inheritDoc}
   *
   * @deprecated This returns {@link Object#hashCode()}; you almost certainly mean to call {@code