/**
 * This class is a command-line application for creating and managing the suggest index.
 * It provides functionality to index words from documents and search logs, as well as
 * to purge old suggest data.
 */
public class SuggestCreator {

    /**
     * Constructs a new suggest creator.
     */
    public SuggestCreator() {
        // do nothing
    }

     * vulnerable to man-in-the-middle attacks and should only be used only in private development
     * environments and only to carry test data.
     *
     * The server’s TLS certificate **does not need to be signed** by a trusted certificate
     * authority. Instead, it will trust any well-formed certificate, even if it is self-signed.

    public void testIsValidWithUnicode() {
        SmbNegotiationRequest request = mock(SmbNegotiationRequest.class);
        response.getServerData().scapabilities = SmbConstants.CAP_UNICODE;
        // Set some required server data for valid response
        response.getServerData().smaxMpxCount = 1;
        response.getServerData().maxBufferSize = 16384;

        assertTrue(response.isValid(mockContext, request));

        int encodedLength = request.encode(buffer, offset);

        // Verify encoded length
        assertEquals(request.size(), encodedLength);

        // Verify data at correct offset
        assertEquals(DEFAULT_CAPABILITIES, SMBUtil.readInt4(buffer, offset));
        assertEquals(DEFAULT_SECURITY_MODE, SMBUtil.readInt2(buffer, offset + 20));

   * containing one element (the given set itself).
   *
   * <p>Despite the method name, this method attempts to avoid actually copying the data when it is
   * safe to do so. The exact circumstances under which a copy will or will not be performed are
   * undocumented and subject to change.
   *

    /**
     * Processes an HTTP method request and returns the response data.
     * This method handles the complete HTTP request lifecycle including content processing,
     * redirect handling, and error management.
     *
     * @param url The URL being accessed
     * @param httpRequest The HTTP request to process
     * @return The response data containing the retrieved information
     */

    /**
     * Downloads stemmer override dictionary file.
     *
     * @param dictId the dictionary ID
     * @param body the download request body
     * @return stream response containing the dictionary file data
     */
    // GET /api/admin/dict/stemmerOverride/download/{dictId}
    @Execute
    public StreamResponse get$download(final String dictId, final DownloadBody body) {
        body.dictId = dictId;

            // Write request to buffer
            byte[] buffer = new byte[100];
            int written = request.writeBytesWireFormat(buffer, 0);
            assertEquals(4, written);

            // Verify written data
            assertEquals(4, SMBUtil.readInt2(buffer, 0));
        }

        @Test
        @DisplayName("Should handle multiple requests")
        void testMultipleRequests() {

```
export MINIO_IDENTITY_OPENID_CONFIG_URL=https://localhost:9443/oauth2/oidcdiscovery/.well-known/openid-configuration
export MINIO_IDENTITY_OPENID_CLIENT_ID="843351d4-1080-11ea-aa20-271ecba3924a"
minio server /mnt/data
```

Eso, más el simple hecho de que Python es el lenguaje principal para **Data Science**, Machine Learning y especialmente Deep Learning, hacen de FastAPI una muy buena opción para APIs web de Data Science / Machine Learning y aplicaciones (entre muchas otras).