RUN Add-Content -Path C:\tools\msys64\etc\pacman.d\mirrorlist.msys -Value 'SigLevel = Never'

# Install pacman packages.
RUN C:\tools\msys64\usr\bin\bash.exe -lc \
  'pacman --noconfirm -Syy curl git patch vim unzip zip'

# Install multiple Pythons, but only add one of them to PATH.
RUN function Install-Python { \
        param( \
            [string]$version, \
            [int]$prependPath \
        ) \

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`. 🤓

///

## Pydantic-модель для формы

Installieren Sie zunächst das Package `pydantic-settings`:

<div class="termy">

```console
$ pip install pydantic-settings
---> 100%
```

</div>

Es ist bereits enthalten, wenn Sie die `all`-Extras installiert haben, mit:

<div class="termy">

```console
$ pip install "fastapi[all]"
---> 100%
```

</div>

/// info

libcufft-12-1
libcurand-12-1
libcusolver-dev-12-1
libcusparse-dev-12-1
libcublas-12-1
libcublas-dev-12-1
libnccl-dev=2.18.3-1+cuda12.1
libnccl2=2.18.3-1+cuda12.1
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.8.0.87-1

libcufft-12-3
libcurand-12-3
libcusolver-dev-12-3
libcusparse-dev-12-3
libcublas-12-3
libcublas-dev-12-3
libnccl-dev=2.19.3-1+cuda12.3
libnccl2=2.19.3-1+cuda12.3
# CuDNN: https://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#ubuntu-network-installation
libcudnn9-dev-cuda-12=9.1.1.17-1

  clean() { rm -rf -- "$TMP_DOWNLOAD_DIR"; }
  trap clean HUP INT TERM EXIT
else
  die "cannot create temp dir"
fi

mkdir -p -- "${MAVEN_HOME%/*}"

# Download and Install Apache Maven
verbose "Couldn't find MAVEN_HOME, downloading and installing it ..."
verbose "Downloading from: $distributionUrl"
verbose "Downloading to: $TMP_DOWNLOAD_DIR/$distributionUrlName"

# select .zip or .tar.gz

Regression Test
===============

A gradle module for running Regression tests on a device, emulator or JVM.

1. Add an Emulator named `pixel5`, if you don't already have one

```
$ sdkmanager --install "system-images;android-29;google_apis;x86"
$ echo "no" | avdmanager --verbose create avd --force --name "pixel5" --device "pixel" --package "system-images;android-29;google_apis;x86" --tag "google_apis" --abi "x86"
```

		includes:        append([]string{filepath.Dir(name)}, flags.I...),
		beginningOfLine: true,
		macros:          predefine(flags.D),
	}
}

// predefine installs the macros set by the -D flag on the command line.
func predefine(defines flags.MultiFlag) map[string]*Macro {
	macros := make(map[string]*Macro)
	for _, name := range defines {
		value := "1"

# FastAPI CLI { #fastapi-cli }

**FastAPI CLI** is a command line program that you can use to serve your FastAPI app, manage your FastAPI project, and more.

When you install FastAPI (e.g. with `pip install "fastapi[standard]"`), it includes a package called `fastapi-cli`, this package provides the `fastapi` command in the terminal.

To run your FastAPI app for development, you can use the `fastapi dev` command:

<div class="termy">

```console

        sessionScope.enter();
        try {
            sessionScope.seed(MavenSession.class, mock(MavenSession.class));

            String artifactBasedir = new File(getBasedir(), "src/test/resources/artifact-install").getAbsolutePath();

            Artifact artifact = createArtifact("artifact", "1.0");

            File file = new File(artifactBasedir, "artifact-1.0.jar");