After its deprecation in v1.20, the dockershim component has been removed from the kubelet.
From v1.24 onwards, you will need to either use one of the other [supported runtimes](https://kubernetes.io/docs/setup/production-environment/container-runtimes/) (such as containerd or CRI-O)
or use cri-dockerd if you are relying on Docker Engine as your container runtime.
For more information about ensuring your cluster is ready for this removal, please

// CHECKSTYLE_OFF: RegexpHeader
/**
 * Provides classes for managing Maven toolchains, which allow projects to use specific
 * tool installations (like JDKs, compilers, or other build tools) across different
 * environments without hardcoding paths.
 *
 * @since 4.0.0
 */

Чтобы использовать формы, сначала установите <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>.

Убедитесь, что вы создали и активировали [виртуальное окружение](../virtual-environments.md){.internal-link target=_blank}, а затем установите пакет, например:

```console
$ pip install python-multipart
```

///

/// note | Заметка

Этот функционал доступен с версии `0.113.0`. 🤓

Щоб використовувати форми, спочатку встановіть <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">`python-multipart`</a>.

Переконайтеся, що Ви створили [віртуальне середовище](../virtual-environments.md){.internal-link target=_blank}, активували його, і потім встановили бібліотеку, наприклад:

```console
$ pip install python-multipart
```

///

## Імпорт `Form`

Імпортуйте `Form` з `fastapi`:

TensorFlow is a platform for distributed computing, and as such there is a
TensorFlow server (`tf.train.Server`). The TensorFlow server is intended for
internal communication only. It is not built for use in untrusted environments
or networks.

For performance reasons, the default TensorFlow server does not include any
authorization protocol and sends messages unencrypted. It accepts connections

Properties for additional information:
o additionalForeignKeyMap.dfprop
o additionalPrimaryKeyMap.dfprop
o additionalUniqueKeyMap.dfprop (manual making)
o additionalTableMap.dfprop (manual making)

Properties for implementation environments:
o classificationDefinitionMap.dfprop
o classificationDeploymentMap.dfprop
o commonColumnMap.dfprop
o conditionBeanMap.dfprop
o dependencyInjectionMap.dfprop
o littleAdjustmentMap.dfprop
o outsideSqlMap.dfprop

## Instalar `PyJWT`

Necesitamos instalar `PyJWT` para generar y verificar los tokens JWT en Python.

Asegúrate de crear un [entorno virtual](../../virtual-environments.md){.internal-link target=_blank}, activarlo y luego instalar `pyjwt`:

<div class="termy">

```console
$ pip install pyjwt

---> 100%
```

</div>

/// info | Información

    }
  }

  private enum PlatformSpecificExceptionBatch {
    PLATFORM {
      @GwtIncompatible
      @J2ktIncompatible
      @Override
      // returns the types available in "normal" environments
      ImmutableMap<Class<? extends Throwable>, Predicate<Throwable>> exceptions() {
        return ImmutableMap.of(
            InvocationTargetException.class,
            e -> e instanceof InvocationTargetException,

    }
  }

  private enum PlatformSpecificExceptionBatch {
    PLATFORM {
      @GwtIncompatible
      @J2ktIncompatible
      @Override
      // returns the types available in "normal" environments
      ImmutableMap<Class<? extends Throwable>, Predicate<Throwable>> exceptions() {
        return ImmutableMap.of(
            InvocationTargetException.class,
            e -> e instanceof InvocationTargetException,

    }
  }

  private enum PlatformSpecificExceptionBatch {
    PLATFORM {
      @GwtIncompatible
      @J2ktIncompatible
      @Override
      // returns the types available in "normal" environments
      ImmutableMap<Class<? extends Throwable>, Predicate<Throwable>> exceptions() {
        return ImmutableMap.of(
            InvocationTargetException.class,
            e -> e instanceof InvocationTargetException,