When you install `fastapi` it comes these standard dependencies.

## `fastapi-slim`

If you don't want the extra standard optional dependencies, install `fastapi-slim` instead.

When you install with:

```bash
pip install fastapi
```

...it includes the same code and dependencies as:

```bash
pip install "fastapi-slim[standard]"
```

The standard extra dependencies are the ones mentioned above.

import java.util.Map.Entry;
import java.util.Set;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Superclass for tests for {@link Maps#transformValues} overloads.
 *
 * @author Isaac Shum
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
abstract class AbstractMapsTransformValuesTest extends MapInterfaceTest<String, String> {
  public AbstractMapsTransformValuesTest() {

</div>

!!! note
    When you install with `pip install fastapi` it comes with some default optional standard dependencies.

    If you don't want to have those optional dependencies, you can instead install `pip install fastapi-slim`.

## Advanced User Guide

There is also an **Advanced User Guide** that you can read later after this **Tutorial - User guide**.

When you install `fastapi` it comes these standard dependencies.

## `fastapi-slim`

If you don't want the extra standard optional dependencies, install `fastapi-slim` instead.

When you install with:

```bash
pip install fastapi
```

...it includes the same code and dependencies as:

```bash
pip install "fastapi-slim[standard]"
```

The standard extra dependencies are the ones mentioned above.

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build:ios_armv7 --config=ios
build:ios_armv7 --cpu=ios_armv7
build:ios_arm64 --config=ios
build:ios_arm64 --cpu=ios_arm64
build:ios_arm64e --config=ios
build:ios_arm64e --cpu=ios_arm64e
build:ios_sim_arm64 --config=ios
build:ios_sim_arm64 --cpu=ios_sim_arm64
build:ios_x86_64 --config=ios
build:ios_x86_64 --cpu=ios_x86_64
build:ios_fat --config=ios
build:ios_fat --ios_multi_cpus=armv7,arm64,i386,x86_64

// for the first time.
TF_Library* TF_LoadPluggableDeviceLibrary(const char* library_filename,
                                          TF_Status* status) {
#if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)
  status->status = tensorflow::errors::Unimplemented(
      "PluggableDevice plugin functionality is not supported on mobile");
  return nullptr;
#else
  TF_Library* lib_handle = new TF_Library;

Então, para equilibrar tudo, imagine a seguinte historinha:

> Você tem que limpar uma grande casa suja.

*Sim, essa é toda a história*.

---

Não há espera em lugar algum, apenas um monte de trabalho para ser feito, em múltiplos cômodos da casa.

### <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>

Uvicorn é um servidor ASGI peso leve, construído com uvloop e httptools.

Ele não é um framework web, mas sim um servidor. Por exemplo, ele não fornece ferramentas para roteamento por rotas. Isso é algo que um framework como Starlette (ou **FastAPI**) poderia fornecer por cima.

Ele é o servidor recomendado para Starlette e **FastAPI**.

## Bug Fixes and Other Changes

*   `tf.image`
    *   Added an optional parameter `return_index_map` to `tf.image.ssim` which
        causes the returned value to be the local SSIM map instead of the global
        mean.

*   TF Core:

    *   `tf.custom_gradient` can now be applied to functions that accept