refresh();

        // Verify documents were updated
        response = checkMethodBase(searchBody).get(SEARCHLIST_API_PATH + "/docs").asString();
        List<Map<String, Object>> updatedDocs = JsonPath.from(response).getList("response.docs");

        logger.info("Updated documents: {}", updatedDocs);

        // Verify updated content
        for (Map<String, Object> doc : updatedDocs) {

../mkzip ../../zoneinfo.zip
cd ../..

files="update.bash zoneinfo.zip"
modified=true
if git diff --quiet $files; then
	modified=false
fi

if [ "$1" = "-work" ]; then
	echo Left workspace behind in work/.
	shift
else
	rm -rf work
fi

if ! $modified; then
	echo No updates needed.
	exit 0
fi

echo Updated for $CODE/$DATA: $files

commitmsg="lib/time: update to $CODE/$DATA

### Using Pydantic's `update` parameter { #using-pydantics-update-parameter }

Now, you can create a copy of the existing model using `.model_copy()`, and pass the `update` parameter with a `dict` containing the data to update.

Like `stored_item_model.model_copy(update=update_data)`:

{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}

### Partial updates recap { #partial-updates-recap }

        try (MappingUpdater updater = new MappingUpdater(item)) {
            reload(updater);
        }
    }

    /**
     * Reloads the character mapping items from the dictionary file.
     *
     * @param updater the mapping updater to use for writing changes, or null for read-only reload
     */
    protected void reload(final MappingUpdater updater) {

        try (ProtwordsUpdater updater = new ProtwordsUpdater(item)) {
            reload(updater);
        }
    }

    /**
     * Reloads the dictionary file with the specified updater.
     * @param updater the updater to use for processing items
     */
    protected void reload(final ProtwordsUpdater updater) {

{* ../../docs_src/body_updates/tutorial002_py310.py hl[32] *}

### Pydantic'in `update` parametresini kullanma { #using-pydantics-update-parameter }

Artık `.model_copy()` ile mevcut modelin bir kopyasını oluşturup, güncellenecek verileri içeren bir `dict` ile `update` parametresini geçebilirsiniz.

Örneğin: `stored_item_model.model_copy(update=update_data)`:

{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}

{* ../../docs_src/body_updates/tutorial002_py310.py hl[32] *}

### Pydantics `update`-Parameter verwenden { #using-pydantics-update-parameter }

Jetzt können Sie eine Kopie des existierenden Modells mittels `.model_copy()` erstellen, wobei Sie dem `update`-Parameter ein `dict` mit den zu ändernden Daten übergeben.

Wie in `stored_item_model.model_copy(update=update_data)`:

{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}

{* ../../docs_src/body_updates/tutorial002_py310.py hl[32] *}

### Uso del parámetro `update` de Pydantic { #using-pydantics-update-parameter }

Ahora, puedes crear una copia del modelo existente usando `.model_copy()`, y pasar el parámetro `update` con un `dict` que contenga los datos a actualizar.

Como `stored_item_model.model_copy(update=update_data)`:

{* ../../docs_src/body_updates/tutorial002_py310.py hl[33] *}

    public synchronized void insert(final StopwordsItem item) {
        try (StopwordsUpdater updater = new StopwordsUpdater(item)) {
            reload(updater);
        }
    }

    @Override
    public synchronized void update(final StopwordsItem item) {
        try (StopwordsUpdater updater = new StopwordsUpdater(item)) {
            reload(updater);
        }
    }

    @Override

        try (StemmerOverrideUpdater updater = new StemmerOverrideUpdater(item)) {
            reload(updater);
        }
    }

    @Override
    public synchronized void update(final StemmerOverrideItem item) {
        try (StemmerOverrideUpdater updater = new StemmerOverrideUpdater(item)) {
            reload(updater);
        }
    }

    @Override