*
     * @param responseData the response data containing the file to extract
     * @return the extractor instance for processing the file
     * @throws FessSystemException if no suitable extractor factory can be found
     */
    @Override
    protected Extractor getExtractor(final ResponseData responseData) {
        final ExtractorFactory extractorFactory = ComponentUtil.getExtractorFactory();

import static java.util.Collections.max;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.VisibleForTesting;
import java.util.Map;

/**
 * An implementation-specific parameter class suitable for initializing {@link
 * ArrayBasedCharEscaper} or {@link ArrayBasedUnicodeEscaper} instances. This class should be used
 * when more than one escaper is created using the same character replacement mapping to allow the

Starlette (e **FastAPI**) são baseados no <a href="https://anyio.readthedocs.io/en/stable/" class="external-link" target="_blank">AnyIO</a>, o que o torna compatível com ambos o <a href="https://docs.python.org/3/library/asyncio-task.html" class="external-link" target="_blank">asyncio</a> da biblioteca padrão do Python, e o <a href="https://trio.readthedocs.io/en/stable/" class="external-link" target="_blank">Trio</a>.

so performance impact should be minimal even if precompressed data is re-compressed.
Decompressing incompressible data has no significant performance impact.

Below is a list of common files and content-types which are typically not suitable for compression.

- Extensions

 | `gz`  | (GZIP)      |
 | `bz2` | (BZIP2)     |
 | `rar` | (WinRAR)    |
 | `zip` | (ZIP)       |
 | `7z`  | (7-Zip)     |
 | `xz`  | (LZMA)      |

   
      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.
         * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.

		Dest:         dest,
	}

	stmt.Schema = s

	values := ConvertToCreateValues(stmt)
	expected := clause.Values{
		// column has value + defaultValue column has value (which should have a stable order)
		Columns: []clause.Column{{Name: "name"}, {Name: "email"}, {Name: "age"}, {Name: "id"}},
		Values: [][]interface{}{
			{"alice", "email", 18, 1},
			{"bob", "email", 19, 2},
		},
	}

  // session has been run (this is detected in RecordMutation function). If the
  // string is empty, no mutation has occurred. Otherwise the string is a
  // description of the mutation suitable for returning to the user.
  //
  // Sessions are added to this map in TF_NewSession, and removed in
  // TF_DeleteSession.
  // TF_Graph may only / must be deleted when

#         * functions;
#         * expansions «$var», «${var}», «${var:-default}», «${var+SET}»,
#           «${var#prefix}», «${var%suffix}», and «$( cmd )»;
#         * compound commands having a testable exit status, especially «case»;
#         * various built-in commands including «command», «set», and «ulimit».
#
#   Important for patching:
#
#   (2) This script targets any POSIX shell, so it avoids extensions provided

            assertNotNull(ticket);
        }
    }

    @Test
    void testConstructorWithKeyNotFound() throws IOException {
        // Test when no suitable Kerberos key is found
        byte[] token = createTestTicketBytes(new BigInteger(KerberosConstants.KERBEROS_VERSION), SERVER_REALM, SERVER_PRINCIPAL_NAME,
                ENCRYPTION_TYPE, ENCRYPTED_DATA, null);

        f.setAccessible(true);

        // Act
        long value = (long) f.get(null);

        // Assert
        assertEquals(2283323396289696982L, value, "serialVersionUID should be stable");
    }

    // Behavior check: toString contains class name and message when present
    @Test
    @DisplayName("toString contains class name and message when provided")