)
async def create_item(item: Item):
    """
    Create an item with all the information:

    - **name**: each item must have a name
    - **description**: a long description
    - **price**: required
    - **tax**: if the item doesn't have tax, you can omit this
    - **tags**: a set of unique tag strings for this item
    """

        // When/Then - All error codes should have high bit set (0xC prefix)
        for (int status : errorStatuses) {
            assertTrue((status & (int) 0xC0000000L) == (int) 0xC0000000L,
                    "Error status should have severity bits set to 0xC: " + Integer.toHexString(status));
        }
    }

    @Test
    @DisplayName("Should have status codes array")
    void testStatusCodesArray() {

# Cookie Parameter Models { #cookie-parameter-models }

If you have a group of **cookies** that are related, you can create a **Pydantic model** to declare them. 🍪

This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎

/// note

This is supported since FastAPI version `0.115.0`. 🤓

///

/// tip

 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
 * Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with this library; if not, write to the Free Software
 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */
package jcifs.pac;

You can change/extend these stubs, and tests should not be breaking too much, since most tests
assert using expected values from the stubs. Normally, when you try to use data from the stubs that
have not been properly populated, you'll get a nullpointer in your test and you then have to
identify which stub creates that specific piece of data.

The most important stubs are:
LifecycleExecutionPlanCalculatorStub
ProjectDependencyGraphStub

   * we're guaranteed to have properly initialized the subclass.
   */
  final void init() {
    /*
     * requireNonNull is safe because this is called from the constructor after `futures` is set but
     * before releaseResources could be called (because we have not yet set up any of the listeners

	Key     string   `xml:"Key,omitempty" json:"Key,omitempty"`
	Value   string   `xml:"Value,omitempty" json:"Value,omitempty"`
}

var (
	errInvalidTagKey   = Errorf("The TagKey you have provided is invalid")
	errInvalidTagValue = Errorf("The TagValue you have provided is invalid")
)

func (tag Tag) String() string {
	return tag.Key + "=" + tag.Value
}

// IsEmpty returns whether this tag is empty or not.

However, the Java code we have is not fully annotated, which causes several consequences:
* IDE warnings can be misleading
* Redundant null checks may increase binary size, hurt performance, and increase cognitive load for readers
* Missing null checks may cause NullPointerException
* Bridging with Kotlin code is polluted with platform types

/// warning

Have in mind that as the Pydantic team no longer supports Pydantic v1 in recent versions of Python, starting from Python 3.14, using `pydantic.v1` is also not supported in Python 3.14 and above.

///

### Pydantic v1 and v2 on the same app { #pydantic-v1-and-v2-on-the-same-app }

import java.lang.reflect.Method;
import java.util.Locale;
import junit.framework.TestCase;

/**
 * Since annotations have some reusability issues that force copy and paste all over the place, it's
 * worth having a test to ensure that all our Feature enums have their annotations correctly set up.
 *
 * @author George van den Driessche
 */
public class FeatureEnumTest extends TestCase {