Então, se criarmos um objeto Pydantic `user_in` como:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

e depois chamarmos:

```Python
user_dict = user_in.dict()
```

agora temos um `dict` com os dados na variável `user_dict` (é um `dict` em vez de um objeto de modelo Pydantic).

E se chamarmos:

```Python

* Из загруженного файла можно получить метаданные.
* Он реализует <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">file-like</a> `async` интерфейс.

 * either express or implied. See the License for the specific language
 * governing permissions and limitations under the License.
 */
package org.codelibs.core.io;

/**
 * Object representing a collection of classes or resources.
 *
 * @author koichik
 * @see TraversalUtil
 */
public interface Traverser {

    /**

After configuring the plugin, use the generated Role ARN with `AssumeRoleWithCustomToken` to get temporary credentials to access object storage.

## API Request

To make an STS API request with this method, send a POST request to the MinIO endpoint with following query parameters:

// Copyright (c) 2015-2021 MinIO, Inc.
//
// This file is part of MinIO Object Storage stack
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful

            throw new SuggesterException(e);
        }
        return deferred.promise();
    }

    /**
     * Processes the request.
     * @param client The OpenSearch client.
     * @param deferred The Deferred object to resolve or reject the response.
     */
    protected abstract void processRequest(Client client, Deferred<T> deferred);

    /**
     * Returns a validation error message, or null if there are no errors.

        FieldConfigs fieldConfigs = new FieldConfigs(params);
        final Map<String, Object> dataMap = Map.of(//
                "foo", new String[] { "aaa", "bbb" }, //
                "bar", new String[] { "ccc", "ddd" }, //
                "baz", new String[] { "eee", "fff" });
        final Map<String, Object> resultMap = transformer.processFieldConfigs(dataMap, fieldConfigs);

       *
       * Hello!
       * <-- END HTTP
       * ```
       */
      BODY,
    }

    fun interface Logger {
      fun log(message: String)

      companion object {
        /** A [Logger] defaults output appropriate for the current platform. */
        @JvmField
        val DEFAULT: Logger = DefaultLogger()

        private class DefaultLogger : Logger {

        return "user";
    }

    @Override
    public UserDbm asDBMeta() {
        return UserDbm.getInstance();
    }

    @Override
    protected <RESULT extends User> RESULT createEntity(Map<String, Object> source, Class<? extends RESULT> entityType) {
        try {
            final RESULT result = entityType.newInstance();
            result.setBusinessCategory(DfTypeUtil.toString(source.get("businessCategory")));

  }

  public Test testsForBadlyCollidingHashSet() {
    return SetTestSuiteBuilder.using(
            new TestCollidingSetGenerator() {
              @Override
              public Set<Object> create(Object... elements) {
                return new HashSet<>(MinimalCollection.of(elements));
              }
            })
        .named("badly colliding HashSet")
        .withFeatures(