}

    public void modifiedToSpecified() {
        if (__modifiedProperties.isEmpty()) {
            return; // basically no way when called in Framework (because called when SpecifyColumn exists)
        }
        __specifiedProperties = newModifiedProperties();
        __specifiedProperties.accept(__modifiedProperties);
    }

 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package com.google.common.cache;

import static com.google.common.util.concurrent.Futures.immediateFuture;

import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableMap;
import com.google.common.collect.Queues;

        /*
         * the default limit is 0 batched messages before this
         * one, meaning this message cannot be batched.
         */
        return 0;
    }


    /*
     * We overload this method from ServerMessageBlock because
     * we want writeAndXWireFormat to write the parameterWords
     * and bytes. This is so we can write batched smbs because

    }

    private StreamResponse writeNdjsonResponse(final String id, final Consumer<Writer> writeCall) {
        return asStream(id)//
                .header("Pragma", "no-cache")//
                .header("Cache-Control", "no-cache")//
                .header("Expires", "Thu, 01 Dec 1994 16:00:00 GMT")//
                .header("Content-Type", "application/x-ndjson")//
                .stream(out -> {

 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */

package com.google.common.cache;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.atomic.AtomicInteger;

/**

{!> ../../docs_src/path_operation_advanced_configuration/tutorial007_pv1.py!}
```

////

/// info

In Pydantic version 1 the method to get the JSON Schema for a model was called `Item.schema()`, in Pydantic version 2, the method is called `Item.model_json_schema()`.

///

import org.xml.sax.SAXException;

import com.fasterxml.jackson.databind.ObjectMapper;
import com.fasterxml.jackson.dataformat.yaml.YAMLMapper;
import com.google.common.cache.CacheBuilder;
import com.google.common.cache.CacheLoader;
import com.google.common.cache.LoadingCache;

public class PluginHelper {
    private static final Logger logger = LogManager.getLogger(PluginHelper.class);

	}
	if beforeUpdateCall != 1 {
		t.Fatalf("before update should be called")
	}

	err = DB.Model(Product5{}).Where("id", p.ID).Update("name", "update_name_2").Error
	if !errors.Is(err, gorm.ErrInvalidValue) {
		t.Fatalf("should got RecordNotFound, but got %v", err)
	}
	if beforeUpdateCall != 1 {
		t.Fatalf("before update should not be called")
	}

 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */

package com.google.common.cache;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.atomic.AtomicInteger;

/**

```

### About `__name__ == "__main__"`

The main purpose of the `__name__ == "__main__"` is to have some code that is executed when your file is called with:

<div class="termy">

```console
$ python myapp.py
```

</div>

but is not called when another file imports it, like in:

```Python
from myapp import app
```

#### More details

Let's say your file is named `myapp.py`.