If you want to secure your API, there are several better things you can do, for example:

* Make sure you have well defined Pydantic models for your request bodies and responses.
* Configure any required permissions and roles using dependencies.
* Never store plaintext passwords, only password hashes.
* Implement and use well-known cryptographic tools, like pwdlib and JWT tokens, etc.

                <div class="collapse" id="update-baseline-${changeId}">
                  <div class="well">
                      Sometimes, the change was made on the `release` branch but hasn't yet been published to the baseline version.
                      In that case, you can publish a new snapshot from the release branch. This will update `released-versions.json` on `master`.

4.  Do your best to have a [well-formed commit message][] for the change.
5.  Pull requests typically do not need to modify the files under the `android`
    directory: We have a script that automatically mirrors changes from the main
    directories into the `android` directories.

[Java style guide]: https://google.github.io/styleguide/javaguide.html

                        extensions.findByType<DevelocityTestConfiguration>()?.apply {
                            // PTS doesn't work well with architecture tests which scan all classes
                            predictiveTestSelection.enabled = false
                        }
                    }
                }
            }
        }
    }
}

     */
    public static final int SID_TYPE_USE_NONE = 0;

    /**
     * SID type for a user.
     */
    public static final int SID_TYPE_USER = 1;

    /**
     * SID type for a well-known group.
     */
    public static final int SID_TYPE_WKN_GRP = 5;

    /**
     * The Fess configuration.
     */
    protected FessConfig fessConfig;

    /**
     * Constructor.
     */

import jakarta.annotation.Resource;

/**
 * Implementation of the {@link DataService} interface for managing access result data.
 * This class provides methods to store, retrieve, update, and delete access results,
 * as well as to iterate over them. It uses a {@link MemoryDataHelper} to store the data in memory.
 *
 * <p>
 * The class uses a static {@code idCount} to generate unique IDs for each access result.

                Security scheme name.

                It will be included in the generated OpenAPI (e.g. visible at `/docs`).
                """
            ),
        ] = None,
        description: Annotated[
            Optional[str],
            Doc(
                """
                Security scheme description.

                It will be included in the generated OpenAPI (e.g. visible at `/docs`).

import jakarta.annotation.Resource;

/**
 * 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
    }

 * output stem. The file format is expected to be `input => output`.
 *
 * The class provides methods for retrieving, adding, updating, and
 * deleting stemmer override items, as well as reloading the dictionary
 * from its source file.
 */
public class StemmerOverrideFile extends DictionaryFile<StemmerOverrideItem> {
    private static final Logger logger = LogManager.getLogger(StemmerOverrideFile.class);

# only on affected targets, usually. There are targets in //tensorflow/lite that
# don't pass --nobuild, so they're on their own.
#
# Although buildifier checks for formatting as well, "bazel build nobuild"
# checks for cross-file issues like bad includes or missing BUILD definitions.
#
# We can't test on the windows toolchains because they're using a legacy