---

## **Typer**, de FastAPI van CLIs

<a href="https://typer.tiangolo.com" target="_blank"><img src="https://typer.tiangolo.com/img/logo-margin/logo-margin-vector.svg" style="width: 20%;"></a>

/**
 * The search form for Label Type.
 */
public class SearchForm {

    /**
     * Default constructor for SearchForm.
     */
    public SearchForm() {
    }

    /**
     * The name field for searching label types.
     */
    public String name;

    /**
     * The value field for searching label types.
     */
    public String value;

        if (paramTypes == null || paramTypes.length == 0) {
            return "";
        }
        final StringBuilder buf = new StringBuilder(100);
        for (final Class<?> type : paramTypes) {
            if (type != null) {
                buf.append(type.getName());
            } else {
                buf.append("null");
            }
            buf.append(", ");
        }
        buf.setLength(buf.length() - 2);

{* ../../docs_src/body/tutorial001.py hl[18] *}

...et déclarez que son type est le modèle que vous avez créé : `Item`.

## Résultats

En utilisant uniquement les déclarations de type Python, **FastAPI** réussit à :

* Lire le contenu de la requête en tant que JSON.
* Convertir les types correspondants (si nécessaire).
* Valider la donnée.

        }

        /**
         * Filters the types of paths to include in the result.
         * The result will contain only the paths of types for which the predicate returned {@code true}.
         * It is recommended to apply a filter for retaining only the types of paths of interest,
         * because it can resolve ambiguities when a path could be of many types.
         *

It's all based on standard **Python type** declarations (thanks to Pydantic). No new syntax to learn. Just standard modern Python.

If you need a 2 minute refresher of how to use Python types (even if you don't use FastAPI), check the short tutorial: [Python Types](python-types.md){.internal-link target=_blank}.

You write standard Python with types:

```Python
from datetime import date

   * close or flush the reader.
   *
   * <p>This is identical to {@link #copy(Readable, Appendable)} but optimized for these specific
   * types. CharBuffer has poor performance when being written into or read out of so round tripping
   * all the bytes through the buffer takes a long time. With these specialized types we can just
   * use a char array.
   *
   * @param from the object to read from
   * @param to the object to write to

    if (type.isArray()) {
      return createEmptyArray(type);
    }
    T jvmDefault = Defaults.defaultValue(Primitives.unwrap(type));
    if (jvmDefault != null) {
      return jvmDefault;
    }
    if (Modifier.isAbstract(type.getModifiers()) || !Modifier.isPublic(type.getModifiers())) {
      return arbitraryConstantInstanceOrNull(type);
    }
    Constructor<T> constructor;
    try {

   * {@code void}, {@code null} is returned.
   */
  @SuppressWarnings("unchecked")
  public static <T> @Nullable T defaultValue(Class<T> type) {
    checkNotNull(type);
    if (type.isPrimitive()) {
      if (type == boolean.class) {
        return (T) Boolean.FALSE;
      } else if (type == char.class) {
        return (T) Character.valueOf('\0');

 * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
 */
package jcifs.internal.witness;

/**
 * Enumeration of SMB Witness Service types as defined in MS-SWN specification.
 * These types represent different categories of witness services available in
 * clustered file server environments.
 */
public enum WitnessServiceType {
    /**