return err
		}
	}
	return nil
}

// DropTable drop table for values
func (m Migrator) DropTable(values ...interface{}) error {
	values = m.ReorderModels(values, false)
	for i := len(values) - 1; i >= 0; i-- {
		tx := m.DB.Session(&gorm.Session{})
		if err := m.RunWithValue(values[i], func(stmt *gorm.Statement) error {
			return tx.Exec("DROP TABLE IF EXISTS ?", m.CurrentTable(stmt)).Error
		}); err != nil {

  left: 9px;
}

.daterangepicker.opensright:after {
  left: 10px;
}

.daterangepicker.drop-up {
  margin-top: -7px;
}

.daterangepicker.drop-up:before {
  top: initial;
  bottom: -7px;
  border-bottom: initial;
  border-top: 7px solid #ccc;
}

.daterangepicker.drop-up:after {
  top: initial;
  bottom: -6px;
  border-bottom: initial;
  border-top: 6px solid #fff;
}

        // collect drop list
        for (MetadataGraphVertex v : g.getVertices()) {
            if (!visited.contains(v)) {
                dropList.add(v);
            }
        }

        if (dropList.size() < 1) {
            return g;
        }

        // now - drop vertices
        TreeSet<MetadataGraphVertex> vertices = g.getVertices();

        "/authors/foo/items/",
        json=[{"name": "Bar"}, {"name": "Baz", "description": "Drop the Baz"}],
    )
    assert response.status_code == 200
    assert response.json() == {
        "name": "foo",
        "items": [
            {"name": "Bar", "description": None},
            {"name": "Baz", "description": "Drop the Baz"},
        ],
    }


def test_get_authors():
    response = client.get("/authors/")

---> 100%
```

</div>

/// tip | "Tipp"

Durch das Hinzufügen von `standard` installiert und verwendet Uvicorn einige empfohlene zusätzliche Abhängigkeiten.

Inklusive `uvloop`, einen hochperformanten Drop-in-Ersatz für `asyncio`, welcher für einen großen Leistungsschub bei der Nebenläufigkeit sorgt.

///

////

//// tab | Hypercorn

    }


def test_create_item_bad_token():
    response = client.post(
        "/items/",
        headers={"X-Token": "hailhydra"},
        json={"id": "bazz", "title": "Bazz", "description": "Drop the bazz"},
    )
    assert response.status_code == 400
    assert response.json() == {"detail": "Invalid X-Token header"}


def test_create_existing_item():
    response = client.post(
        "/items/",

        if (tccl != null) {
            try {
                return tccl.loadClass(name);
            } catch (final Exception e) {
                // drop through...
            } catch (final LinkageError e) {
                // drop through...
            }
        }

        // assume custom type is in same class space as default
        final ClassLoader peer = defaultClazz.getClassLoader();

In that case, you can simply swap the standard `dataclasses` with `pydantic.dataclasses`, which is a drop-in replacement:

{* ../../docs_src/dataclasses/tutorial003.py hl[1,5,8:11,14:17,23:25,28] *}

1. We still import `field` from standard `dataclasses`.

2. `pydantic.dataclasses` is a drop-in replacement for `dataclasses`.

3. The `Author` dataclass includes a list of `Item` dataclasses.

    }


def test_create_item_bad_token():
    response = client.post(
        "/items/",
        headers={"X-Token": "hailhydra"},
        json={"id": "bazz", "title": "Bazz", "description": "Drop the bazz"},
    )
    assert response.status_code == 400
    assert response.json() == {"detail": "Invalid X-Token header"}


def test_create_existing_item():
    response = client.post(
        "/items/",

    }


def test_create_item_bad_token():
    response = client.post(
        "/items/",
        headers={"X-Token": "hailhydra"},
        json={"id": "bazz", "title": "Bazz", "description": "Drop the bazz"},
    )
    assert response.status_code == 400
    assert response.json() == {"detail": "Invalid X-Token header"}


def test_create_existing_item():
    response = client.post(
        "/items/",