}

  /**
   * Implemented by the user to determine whether {@code a} and {@code b} are considered equivalent,
   * subject to the requirements specified in {@link #equivalent}.
   *
   * <p>This method should not be called except by {@link #equivalent}. When {@link #equivalent}
   * calls this method, {@code a} and {@code b} are guaranteed to be distinct, non-null instances.
   *
   * @since 10.0 (previously, subclasses would override equivalent())

    
    try (SmbFile file = new SmbFile("smb://server/share/test.txt", context)) {
        // Open file with lease
        file.createNewFile();
        
        // Verify lease was granted
        assertTrue(file.canCacheRead());
        
        // Write should be cached
        try (OutputStream os = file.getOutputStream()) {
            os.write("test data".getBytes());

### **4.2 WordCount**

WordCount is a simple program that counts how often a word occurs in a text file. The code builds a dataset of (String, Int) pairs called counts, and saves the dataset to a file.

The following example submits WordCount code to the Scala shell. Select an input file for the Spark WordCount example. We can use any text file as input.

- Login as user **‘spark’**.

   * safe to do so. The exact circumstances under which a copy will or will not be performed are
   * undocumented and subject to change.
   *
   * <p>This method is not type-safe, as it may be called on elements that are not mutually
   * comparable.
   *
   * @throws ClassCastException if the elements are not mutually comparable
   * @throws NullPointerException if any of {@code elements} is null
   */

			i, err = d.objectOrdered()
		} else {
			i, err = d.object()
		}
		return i, Object, err
	default:
		return nil, Unknown, d.mkError(ErrSyntax, "looking for beginning of value")
	}
}

// string called by `any` or `object`(for map keys) after reading `"`
func (d *Decoder) string() (string, error) {
	d.scratch.reset()
	c := d.next()

scan:
	for {
		switch {
		case c == '"':

  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();

            return null;
        }).when(mockDcerpcHandle).sendrecv(any(MsrpcLsarClose.class));

        // Act
        handle.close();

        // Assert
        // Verify sendrecv was called once for open and once for close
        verify(mockDcerpcHandle, times(1)).sendrecv(any(MsrpcLsarOpenPolicy2.class));
        verify(mockDcerpcHandle, times(1)).sendrecv(any(MsrpcLsarClose.class));
    }

    @Test

        for (int dos : inputs) {
            int nt = findNtStatusOrMinusOne(dos);
            if (nt != -1) {
                consumer.accept(dos, nt);
            }
        }

        // Assert: consumer called exactly for the 3 known codes, with the right arguments
        ArgumentCaptor<Integer> dosCaptor = ArgumentCaptor.forClass(Integer.class);
        ArgumentCaptor<Integer> ntCaptor = ArgumentCaptor.forClass(Integer.class);

Und normalerweise ist es ein komplexes und „schwieriges“ Thema.

In vielen Frameworks und Systemen erfordert allein die Handhabung von Sicherheit und Authentifizierung viel Aufwand und Code (in vielen Fällen kann er 50 % oder mehr des gesamten geschriebenen Codes ausmachen).

    * `bearer`: a header `Authorization` with a value of `Bearer ` plus a token. This is inherited from OAuth2.
    * HTTP Basic authentication.
    * HTTP Digest, etc.
* `oauth2`: all the OAuth2 ways to handle security (called "flows").
    * Several of these flows are appropriate for building an OAuth 2.0 authentication provider (like Google, Facebook, X (Twitter), GitHub, etc):
        * `implicit`
        * `clientCredentials`