import jakarta.servlet.ServletContext;

/**
 * Job class for generating thumbnails for documents in the search engine.
 * This job executes the ThumbnailGenerator process as a separate JVM process
 * to create thumbnail images for supported document types.
 */
public class GenerateThumbnailJob extends ExecJob {
    /** Logger for this class. */
    static final Logger logger = LogManager.getLogger(GenerateThumbnailJob.class);

### Other (Cleanup or Flake)

- Kubeadm: change the default image repository for CI images from 'gcr.io/kubernetes-ci-images' to 'gcr.io/k8s-staging-ci-images' ([#97087](https://github.com/kubernetes/kubernetes/pull/97087), [@SataQiu](https://github.com/SataQiu)) [SIG Cluster Lifecycle]

     */
    @Test
    @DisplayName("Test writeBytesWireFormat with special characters in file names")
    public void testWriteBytesWireFormatSpecialCharacters() {
        // Given
        String oldFileName = "file with spaces.txt";
        String newFileName = "file@#$%.doc";
        byte[] dst = new byte[200];
        smbComRename = new SmbComRename(config, oldFileName, newFileName);
        int dstIndex = 0;

        // When

    }

    @ParameterizedTest
    @DisplayName("Test decode with various file names")
    @CsvSource({ "a.txt", "very_long_filename_with_many_characters_to_test_buffer_handling.docx", "file with spaces.pdf", "文件.txt", // Unicode filename
            "file-with-special-chars!@#$%^&().bin" })
    void testDecodeWithVariousFileNames(String fileName) throws SMBProtocolDecodingException {

running the `tf.train.Server`.

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate
formats that can be processed by TensorFlow.

					<div class="me-3">
						<a class="link d-none d-sm-flex" href="${doc.url_link}" data-uri="${doc.url_link}" data-id="${doc.doc_id}"
							data-order="${s.index}"
						> <img src="${fe:url('/images/blank.png')}" alt="thumbnail"
							data-src="${fe:url('/thumbnail/')}?docId=${f:u(doc.doc_id)}&queryId=${f:u(queryId)}" class="thumbnail"
						>
						</a>
					</div>
					</c:if>

        assertTrue(result.contains("pipeName=null"));
    }

    @ParameterizedTest
    @NullAndEmptySource
    @ValueSource(strings = { "\\PIPE\\test", "testpipe", "\\\\server\\pipe\\test", " ", "pipe with spaces" })
    @DisplayName("toString should handle various pipe names")
    void testToStringWithVariousPipeNames(String pipeName) {
        // Arrange

    }

    @ParameterizedTest
    @ValueSource(strings = { "", "a", "test.txt", "very_long_filename_that_exceeds_normal_length_limits_and_tests_buffer_handling.txt",
            "file with spaces.txt", "file*with?wildcards.txt", "../relative/path/file.txt", "C:\\absolute\\path\\file.txt" })
    void testFilenameHandling(String filename) {
        // Test various filename formats

    $ unzip fess-15.3.x.zip
    $ cd fess-15.3.x
    $ ./bin/fess

Pour plus de détails, consultez le [guide d'installation](https://fess.codelibs.org/15.3/install/index.html).

### Docker

Nous fournissons des images Docker sur [ghcr.io](https://github.com/orgs/codelibs/packages). Nous fournissons également un fichier Docker Compose (YAML) dans [ce dépôt](https://github.com/codelibs/docker-fess/tree/master/compose). 

### Interface Web

	}
	return true
}

// macroName returns the name for the macro being referenced.
func (in *Input) macroName() string {
	// We use the Stack's input method; no macro processing at this stage.
	tok := in.Stack.Next()
	if tok != scanner.Ident {
		in.expectText("expected identifier after # directive")
	}
	// Name is alphanumeric by definition.
	return in.Stack.Text()
}

// #define processing.