}

                final String inputStrings = line;
                final String input = unescape(inputStrings);

                if (input.length() > 0) {
                    id++;
                    final StopwordsItem item = new StopwordsItem(id, input);
                    if (updater != null) {
                        final StopwordsItem newItem = updater.write(item);

        }

        for (final Pattern pattern : includedDocPathPatterns) {
            if (pattern.matcher(input).matches()) {
                return Constants.TRUE;
            }
        }

        for (final Pattern pattern : excludedDocPathPatterns) {
            if (pattern.matcher(input).matches()) {
                return Constants.FALSE;
            }
        }

        return Constants.TRUE;

    }

# Response Model - Return Type

You can declare the type used for the response by annotating the *path operation function* **return type**.

You can use **type annotations** the same way you would for input data in function **parameters**, you can use Pydantic models, lists, dictionaries, scalar values like integers, booleans, etc.

//// tab | Python 3.10+

```Python hl_lines="16  21"
{!> ../../docs_src/response_model/tutorial001_01_py310.py!}
```

 */
public class CreateForm {

    @Required
    public String dictId;

    @ValidateTypeFailure
    public Integer crudMode;

    @Required
    @Size(max = 1000)
    public String inputs;

    @Required
    @Size(max = 1000)
    public String outputs;

    public void initialize() {
        crudMode = CrudMode.CREATE;
    }

 */
public class CreateForm {

    @Required
    public String dictId;

    @ValidateTypeFailure
    public Integer crudMode;

    @Required
    @Size(max = 1000)
    public String inputs;

    @Size(min = 1, max = 1000)
    public String output;

    public void initialize() {
        crudMode = CrudMode.CREATE;
    }

        md5.reset();
        md5.update(ipad);
    }

    protected void engineUpdate(byte b) {
        md5.update(b);
    }

    protected void engineUpdate(byte[] input, int offset, int len) {
        md5.update(input, offset, len);
    }

    }


    @Override
    protected void engineUpdate ( byte b ) {
        this.md5.update(b);
    }


    @Override
    protected void engineUpdate ( byte[] input, int offset, int len ) {
        this.md5.update(input, offset, len);
    }

        {
            "detail": [
                {
                    "type": "int_parsing",
                    "loc": ["path", "item_id"],
                    "msg": "Input should be a valid integer, unable to parse string as an integer",
                    "input": "foo",
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [

        Iterables.filter(
            FINITE_DOUBLE_CANDIDATES,
            new Predicate<Double>() {
              @Override
              public boolean apply(Double input) {
                return input.doubleValue() > 0.0;
              }
            });
    DOUBLE_CANDIDATES_EXCEPT_NAN = Iterables.concat(FINITE_DOUBLE_CANDIDATES, INFINITIES);

        Iterables.filter(
            FINITE_DOUBLE_CANDIDATES,
            new Predicate<Double>() {
              @Override
              public boolean apply(Double input) {
                return input.doubleValue() > 0.0;
              }
            });
    DOUBLE_CANDIDATES_EXCEPT_NAN = Iterables.concat(FINITE_DOUBLE_CANDIDATES, INFINITIES);