post() {
    local endpoint="$1"
    local data="$2"

    local response=$(curl -X POST \
        -H "Authorization: token $GITHUB_TOKEN" \
        -H "Accept: application/vnd.github.v3+json" \
        -H "Content-Type: application/json" \
        "https://api.github.com/repos/gradle/gradle$endpoint" \
        -d "$data" \
        -w "\n%{http_code}" \
        2>/dev/null)

    }

    public void test_get_notFound() {
        // Load data first
        protwordsFile.reload(null);

        // Test getting non-existing item
        OptionalEntity<ProtwordsItem> item = protwordsFile.get(999);
        assertFalse(item.isPresent());
    }

    public void test_get_withUnloadedData() {
        // Test getting item when data is not loaded yet

 * This factory maintains a registry of data store implementations and provides methods
 * to register, retrieve, and discover available data stores.
 *
 * <p>Data stores are registered by name and class name, allowing flexible lookup.
 * The factory also supports dynamic discovery of data store plugins by scanning
 * JAR files for data store configurations.</p>
 *

errors.crud_failed_to_create_instance = Impossibile creare nuovi dati.
errors.crud_failed_to_create_crud_table = Impossibile creare nuovi dati. ({0})
errors.crud_failed_to_update_crud_table=Impossibile aggiornare i dati. ({0})
errors.crud_failed_to_delete_crud_table=Impossibile eliminare i dati. ({0})
errors.crud_could_not_find_crud_table = Dati {0} non trovati.
errors.could_not_find_backup_index=Impossibile trovare l'indice di backup.

* context manager: context manager (do not translate to "gestor de contexto" or "administrador de contexto")
* a little bit: un poquito
* graph (data structure, as in "dependency graph"): grafo (do not translate to "gráfico")
* form data: form data (do not translate to "datos de formulario" or "datos de form")
* import (as in code import): import (do not translate to "importación")
* JSON Schema: JSON Schema (do not translate to "Esquema JSON")

    }

    /**
     * Gets the last modified date of the resource.
     *
     * @return the last modified date, or null if not available
     */
    public Date getLastModified() {
        return lastModified;
    }

    /**
     * Sets the last modified date of the resource.
     *
     * @param lastModified the last modified date to set
     */

            try {
                final StatsObject data = statsCache.getIfPresent(key);
                if (data != null && data.decrement() <= 0) {
                    statsCache.invalidate(key);
                    final Long begin = data.remove(BEGIN_KEY);
                    if (begin != null) {
                        printStats(keyObj, data, begin, true);
                    }
                }

- Create a bucket lifecycle configuration which expires the objects under the prefix `old/` on `2020-01-01T00:00:00.000Z` date and the objects under `temp/` after 7 days.
- Enable bucket lifecycle configuration using `mc`:

```sh
$ mc ilm import play/testbucket <<EOF
{
    "Rules": [
        {
            "Expiration": {
                "Date": "2020-01-01T00:00:00.000Z"
            },
            "ID": "OldPictures",
            "Filter": {

Je declareert de "vorm" van de data als klassen met attributen.

Elk attribuut heeft een type.

Vervolgens maak je een instantie van die klasse met een aantal waarden en het valideert de waarden, converteert ze naar het juiste type (als dat het geval is) en geeft je een object met alle data terug.

Daarnaast krijg je volledige editorondersteuning met dat resulterende object.

Een voorbeeld uit de officiële Pydantic-documentatie:

Traditional retrieval of objects is always as whole entities, i.e GetObject for a 5 GiB object, will always return 5 GiB of data. S3 Select API allows us to retrieve a subset of data by using simple SQL expressions. By using Select API to retrieve only the data needed by the application, drastic performance improvements can be achieved.

You can use the Select API to query objects with following features: