type Tag struct {
	XMLName xml.Name `xml:"Tag"`
	Key     string   `xml:"Key,omitempty"`
	Value   string   `xml:"Value,omitempty"`
}

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

	errDuplicatedXMLTag = Errorf("duplicated XML Tag")
	errUnknownXMLTag    = Errorf("unknown XML Tag")
)

// UnmarshalXML - decodes XML data.

		if err != nil {
			t.Fatal(err)
		}
	}

	// The "pre" output should all have been flushed already.
	if want, got := pre, out.String(); want != got {
		t.Errorf("filter should have already flushed %q, but flushed %q", want, got)
	}

	code, err := f.Finish()
	if err != nil {
		t.Fatal(err)
	}

	// Nothing more should have been written to out.
	if want, got := pre, out.String(); want != got {

/// note

Notice that you have to return the image using a `FileResponse` directly.

///

/// info

Unless you specify a different media type explicitly in your `responses` parameter, FastAPI will assume the response has the same media type as the main response class (default `application/json`).

// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
// GNU Affero General Public License for more details.
//
// You should have received a copy of the GNU Affero General Public License
// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package cmd

import (
	"slices"
	"sort"
	"testing"
	"time"

            bool,
            Doc(
                """
                Configuration passed to Pydantic to define if the response data
                should have all the fields, including the ones that were not set and
                have their default values. This is different from
                `response_model_exclude_defaults` in that if the fields are set,

   *
   * <p>Because the values for a given key may have duplicates and follow the insertion ordering,
   * this method returns a {@link List}, instead of the {@link java.util.Collection} specified in
   * the {@link Multimap} interface.
   */
  @Override
  List<V> get(@ParametricNullness K key);

  /**
   * {@inheritDoc}
   *
   * <p>Because the values for a given key may have duplicates and follow the insertion ordering,

   *
   * <p>Because the values for a given key may have duplicates and follow the insertion ordering,
   * this method returns a {@link List}, instead of the {@link java.util.Collection} specified in
   * the {@link Multimap} interface.
   */
  @Override
  List<V> get(@ParametricNullness K key);

  /**
   * {@inheritDoc}
   *
   * <p>Because the values for a given key may have duplicates and follow the insertion ordering,

   
   | 1.13.1 - 2.0  | 10.0  |
   
   | 1.5.0 - 1.12.0 | 9.0 |
   
     * If you have above configuration and using _**Windows**_ platform -
       * Try adding the CUDA, CUPTI, and cuDNN installation directories to the %PATH% environment variable.
       * Refer [windows setup guide](https://www.tensorflow.org/install/gpu#windows_setup).
     * If you have above configuration and using _**Ubuntu/Linux**_ platform -

```JSON
{
    "item": {
        "name": "Foo",
        "description": "The pretender",
        "price": 42.0,
        "tax": 3.2
    },
    "user": {
        "username": "dave",
        "full_name": "Dave Grohl"
    }
}
```

/// note | Nota

Repare que mesmo que o `item` esteja declarado da mesma maneira que antes, agora é esperado que ele esteja dentro do corpo com uma chave `item`.

///

You can also combine `dataclasses` with other type annotations to make nested data structures.

In some cases, you might still have to use Pydantic's version of `dataclasses`. For example, if you have errors with the automatically generated API documentation.

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