* <pre>
     * message: The size of {item} must be between {min} and {max}.
     * </pre>
     * @param property The property name for the message. (NotNull)
     * @param min The parameter min for message. (NotNull)
     * @param max The parameter max for message. (NotNull)
     * @return this. (NotNull)
     */
    public FessMessages addConstraintsSizeMessage(String property, String min, String max) {

Você pode criar uma primeira dependência ("dependable") dessa forma:

{* ../../docs_src/dependencies/tutorial005_an_py310.py hl[8:9] *}

Esse código declara um parâmetro de consulta opcional, `q`, com o tipo `str`, e então retorna esse parâmetro.

Isso é bastante simples (e não muito útil), mas irá nos ajudar a focar em como as subdependências funcionam.

     *
     * @return Array of arguments
     */
    public Object[] getMethodArgs() {
        return methodArgs;
    }

    /**
     * Returns the array of parameter types.
     *
     * @return Array of parameter types
     */
    public Class<?>[] getParamTypes() {
        return paramTypes;
    }

    private static String getSignature(final Object... methodArgs) {

    /**
     * Moves the cursor up. If the parameter y is negative it moves the cursor down.
     *
     * @param y the number of lines to move up
     * @return this Ansi instance
     */
    public Ansi cursorUp(final int y) {
        return y > 0 ? appendEscapeSequence('A', y) : y < 0 ? cursorDown(-y) : this;
    }

    /**
     * Moves the cursor down. If the parameter y is negative it moves the cursor up.
     *

 */

package com.google.common.base;

import static java.lang.annotation.ElementType.FIELD;
import static java.lang.annotation.ElementType.METHOD;
import static java.lang.annotation.ElementType.PARAMETER;
import static java.lang.annotation.RetentionPolicy.CLASS;

import com.google.common.annotations.GwtCompatible;
import java.lang.annotation.Retention;
import java.lang.annotation.Target;

/**

 */

package com.google.common.primitives;

import static java.lang.annotation.ElementType.FIELD;
import static java.lang.annotation.ElementType.METHOD;
import static java.lang.annotation.ElementType.PARAMETER;
import static java.lang.annotation.RetentionPolicy.CLASS;

import com.google.common.annotations.GwtCompatible;
import java.lang.annotation.Retention;
import java.lang.annotation.Target;

/**

 */

package com.google.common.html;

import static java.lang.annotation.ElementType.FIELD;
import static java.lang.annotation.ElementType.METHOD;
import static java.lang.annotation.ElementType.PARAMETER;
import static java.lang.annotation.RetentionPolicy.CLASS;

import com.google.common.annotations.GwtCompatible;
import java.lang.annotation.Retention;
import java.lang.annotation.Target;

/**

 */

package com.google.common.base;

import static java.lang.annotation.ElementType.FIELD;
import static java.lang.annotation.ElementType.METHOD;
import static java.lang.annotation.ElementType.PARAMETER;
import static java.lang.annotation.RetentionPolicy.CLASS;

import com.google.common.annotations.GwtCompatible;
import java.lang.annotation.Retention;
import java.lang.annotation.Target;

/**

///

## Datenklassen in `response_model` { #dataclasses-in-response-model }

Sie können `dataclasses` auch im Parameter `response_model` verwenden:

{* ../../docs_src/dataclasses_/tutorial002_py310.py hl[1,6:12,18] *}

Die Datenklasse wird automatisch in eine Pydantic-Datenklasse konvertiert.

///

## Dataclasses in `response_model` { #dataclasses-in-response-model }

You can also use `dataclasses` in the `response_model` parameter:

{* ../../docs_src/dataclasses_/tutorial002_py310.py hl[1,6:12,18] *}

The dataclass will be automatically converted to a Pydantic dataclass.

This way, its schema will show up in the API docs user interface: