* list (as in Python list): list
* Machine Learning: Aprendizado de Máquina
* media type: media type (do not translate to "tipo de mídia")
* non-Annotated: non-Annotated (do not translate non-Annotated when it comes after a Python version.e.g., “Python 3.10+ non-Annotated”)
* operation IDs: IDs de operação
* path (as in URL path): path
* path operation: operação de rota
* path operation function: função de operação de rota
* prefix: prefixo

// very first conversation step) and attempts to move the authentication
// conversation forward.  It returns a string to be sent to the server or an
// error if the server message is invalid.  Calling Step after a conversation
// completes is also an error.
func (x *XDGSCRAMClient) Step(challenge string) (response string, err error) {
	response, err = x.ClientConversation.Step(challenge)
	return response, err
}

    int firstIndex = getList().indexOf(duplicate);
    int initialSize = getList().size();
    assertTrue("remove(present) should return true", getList().remove(duplicate));
    assertTrue(
        "After remove(duplicate), a list should still contain the duplicate element",
        getList().contains(duplicate));
    assertFalse(
        "remove(duplicate) should remove the first instance of the "

import javassist.bytecode.SourceFileAttribute
import java.io.File


/**
 * Repository of sources for binary compatibility checks.
 *
 * `WARN` Holds resources open for performance, must be closed after use.
 */
class BinaryCompatibilityRepository internal constructor(

    private
    val sources: SourcesRepository

) : AutoCloseable {

    companion object {

        @JvmStatic

- Include code to invoke the TFLite Converter Python API and the errors.
- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

### 3. Failure after conversion
If the conversion is successful, but the generated model is wrong, then state what is wrong:

- Model produces wrong results and/or has lesser accuracy.
- Model produces correct results, but it is slower than expected.

import java.util.TimeZone;

import org.codelibs.core.misc.LocaleUtil;
import org.junit.After;
import org.junit.Before;
import org.junit.Test;

/**
 * @author higa
 */
public class TimestampConversionUtilTest {

    @Before
    public void setUp() throws Exception {
        LocaleUtil.setDefault(() -> Locale.JAPANESE);
    }

    @After
    public void tearDown() throws Exception {
        LocaleUtil.setDefault(null);

        });
    }

    /**
     * Sends a test mail using the provided notification settings.
     *
     * @param form the mail form containing notification settings
     * @return HTML response after sending test mail
     */
    @Execute
    @Secured({ ROLE })
    public HtmlResponse sendmail(final MailForm form) {
        validate(form, messages -> {}, () -> asHtml(path_AdminGeneral_AdminGeneralJsp));

       * currentEntry above. After that, we never clear it.
       */
      return requireNonNull(currentEntry).getKey();
    }

    @Override
    public void remove() {
      checkRemove(canRemove);
      /*
       * requireNonNull is safe because canRemove is set to true only after we initialize
       * currentEntry (which we never subsequently clear).
       */

    /** The filter chain used to process queries */
    protected FilterChain filterChain;

    /**
     * Initializes the query parser by creating the filter chain.
     * This method is called automatically after construction.
     */
    @PostConstruct
    public void init() {
        createFilterChain();
    }

    /**
     * Parses the given query string and returns a Lucene Query object.

 * ListenableFuture} directly.
 *
 * @author Sven Mawson
 * @author Nishant Thakkar
 * @since 1.0
 */
/*
 * Some of the annotations below were added after we released our separate
 * com.google.guava:listenablefuture:1.0 artifact. (For more on that artifact, see
 * https://github.com/google/guava/releases/tag/v27.0) This means that the copy of ListenableFuture