}
        final Pattern pattern = Pattern.compile("^" + prefix + "([0-9]+):(.*)$");
        final String[] values = input.split("\n");
        final List<String> list = new ArrayList<>(values.length);
        int lineNum = 0;
        for (final String line : values) {
            final Matcher matcher = pattern.matcher(line);
            if (matcher.matches()) {
                if (lineNum == 0) {

# Déclare une variable comme étant une str
# et profitez de l'aide de votre IDE dans cette fonction
def main(user_id: str):
    return user_id


# Un modèle Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```
Qui peuvent ensuite être utilisés comme cela:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,

   *
   * <p><b>Note:</b> This hash code is consistent with exact equality of the calculated statistics,
   * including the floating point values. See the note on {@link #equals} for details.
   */
  @Override
  public int hashCode() {
    return Objects.hashCode(xStats, yStats, sumOfProductsOfDeltas);
  }

  @Override
  public String toString() {
    if (count() > 0) {
      return MoreObjects.toStringHelper(this)

     * the failed array, so we can investigate more.
     */
    @Test
    void testCompareUuidRandom() {
        for (int j = 0; j < 32; j++) {
            ArrayList<Version> versions = new ArrayList<>();
            for (int i = 0; i < 64; i++) {
                versions.add(newVersion(UUID.randomUUID().toString()));
            }
            try {
                Collections.sort(versions);

		ScopeName   string `json:"scope_name"`
		LogLevel    string `json:"log_level"`
		Description string `json:"description"`
	}
	allScopes, err := ga.client.GetScopes()
	sort.Slice(allScopes, func(i, j int) bool {
		return allScopes[i].Name < allScopes[j].Name
	})
	if err != nil {
		return fmt.Errorf("could not get scopes information: %v", err)
	}
	var resultScopeLogLevel []*scopeLogLevel

    @Override
    public Iterator<E> iterator() {
      // We explicitly don't lock for iterator()
      assertFalse(Thread.holdsLock(mutex));
      return delegate.iterator();
    }

    @Override
    public int size() {
      assertTrue(Thread.holdsLock(mutex));
      return delegate.size();
    }

    @Override
    public boolean removeAll(Collection<?> collection) {
      assertTrue(Thread.holdsLock(mutex));

# Extra Data Types

Up to now, you have been using common data types, like:

* `int`
* `float`
* `str`
* `bool`

But you can also use more complex data types.

And you will still have the same features as seen up to now:

* Great editor support.
* Data conversion from incoming requests.
* Data conversion for response data.
* Data validation.
* Automatic annotation and documentation.

## Other data types

        return path.toString();
    }

    private String insertRepositoryKey(String filename, String repositoryKey) {
        String result;
        int idx = filename.indexOf('.');
        if (idx < 0) {
            result = filename + '-' + repositoryKey;
        } else {
            result = filename.substring(0, idx) + '-' + repositoryKey + filename.substring(idx);

                elementStack.removeFirst();
                visitor.onEndHtmlElement(element);
            }
        }

        private void unwindTo(Collection<String> ancestors, TokenVisitor visitor) {
            for (int i = 0; i < elementStack.size(); i++) {
                if (ancestors.contains(elementStack.get(i))) {
                    for (; i > 0; i--) {
                        visitor.onEndHtmlElement(elementStack.removeFirst());

        final String enc = responseData.getCharSet();

        if (name == null || enc == null) {
            return null;
        }

        name = name.replaceAll("/+$", "");
        final int idx = name.lastIndexOf('/');
        if (idx >= 0) {
            name = name.substring(idx + 1);
        }
        try {
            return URLDecoder.decode(name, enc);