pkg image, method (*NYCbCrA) SubImage(Rectangle) Image
pkg image, method (*NYCbCrA) YCbCrAt(int, int) color.YCbCr
pkg image, method (*NYCbCrA) YOffset(int, int) int
pkg image, type NYCbCrA struct
pkg image, type NYCbCrA struct, A []uint8
pkg image, type NYCbCrA struct, AStride int
pkg image, type NYCbCrA struct, embedded YCbCr
pkg image/color, method (NYCbCrA) RGBA() (uint32, uint32, uint32, uint32)

pkg image/color, type CMYK struct, K uint8
pkg image/color, type CMYK struct, M uint8
pkg image/color, type CMYK struct, Y uint8
pkg image/color, var CMYKModel Model
pkg image/gif, const DisposalBackground = 2
pkg image/gif, const DisposalBackground ideal-int
pkg image/gif, const DisposalNone = 1
pkg image/gif, const DisposalNone ideal-int
pkg image/gif, const DisposalPrevious = 3
pkg image/gif, const DisposalPrevious ideal-int

!!! warning
    There's a high chance that you **don't** need this base image or any other similar one, and would be better off by building the image from scratch as [described above in: Build a Docker Image for FastAPI](#build-a-docker-image-for-fastapi).

This image has an **auto-tuning** mechanism included to set the **number of worker processes** based on the CPU cores available.

pkg image, method (*Gray) SetRGBA64(int, int, color.RGBA64)
pkg image, method (*Gray16) RGBA64At(int, int) color.RGBA64
pkg image, method (*Gray16) SetRGBA64(int, int, color.RGBA64)
pkg image, method (*NRGBA) RGBA64At(int, int) color.RGBA64
pkg image, method (*NRGBA) SetRGBA64(int, int, color.RGBA64)
pkg image, method (*NRGBA64) RGBA64At(int, int) color.RGBA64
pkg image, method (*NRGBA64) SetRGBA64(int, int, color.RGBA64)

## Offizielles Docker-Image mit Gunicorn – Uvicorn

Es gibt ein offizielles Docker-Image, in dem Gunicorn mit Uvicorn-Workern ausgeführt wird, wie in einem vorherigen Kapitel beschrieben: [Serverworker – Gunicorn mit Uvicorn](server-workers.md){.internal-link target=_blank}.

pkg debug/pe, const IMAGE_SCN_LNK_COMDAT = 4096 #51868
pkg debug/pe, const IMAGE_SCN_LNK_COMDAT ideal-int #51868
pkg debug/pe, const IMAGE_SCN_MEM_DISCARDABLE = 33554432 #51868
pkg debug/pe, const IMAGE_SCN_MEM_DISCARDABLE ideal-int #51868
pkg debug/pe, const IMAGE_SCN_MEM_EXECUTE = 536870912 #51868
pkg debug/pe, const IMAGE_SCN_MEM_EXECUTE ideal-int #51868

pkg debug/pe, const IMAGE_DIRECTORY_ENTRY_EXPORT ideal-int
pkg debug/pe, const IMAGE_DIRECTORY_ENTRY_GLOBALPTR = 8
pkg debug/pe, const IMAGE_DIRECTORY_ENTRY_GLOBALPTR ideal-int
pkg debug/pe, const IMAGE_DIRECTORY_ENTRY_IAT = 12
pkg debug/pe, const IMAGE_DIRECTORY_ENTRY_IAT ideal-int
pkg debug/pe, const IMAGE_DIRECTORY_ENTRY_IMPORT = 1
pkg debug/pe, const IMAGE_DIRECTORY_ENTRY_IMPORT ideal-int

pkg image/png, const DefaultCompression = 0
pkg image/png, const DefaultCompression CompressionLevel
pkg image/png, const NoCompression = -1
pkg image/png, const NoCompression CompressionLevel
pkg image/png, method (*Encoder) Encode(io.Writer, image.Image) error
pkg image/png, type CompressionLevel int
pkg image/png, type Encoder struct
pkg image/png, type Encoder struct, CompressionLevel CompressionLevel

## Bodys aus reinen Listen

Wenn Sie möchten, dass das äußerste Element des JSON-Bodys ein JSON-`array` (eine Python-`list`e) ist, können Sie den Typ im Funktionsparameter deklarieren, mit der gleichen Syntax wie in Pydantic-Modellen:

```Python
images: List[Image]
```

oder in Python 3.9 und darüber:

```Python
images: list[Image]
```

so wie in:

## Тела с чистыми списками элементов

Если верхний уровень значения тела JSON-объекта представляет собой JSON `array` (в Python - `list`), вы можете объявить тип в параметре функции, так же, как в моделях Pydantic:

```Python
images: List[Image]
```

в Python 3.9 и выше:

```Python
images: list[Image]
```

например так: