ln -sf /usr/include/$VERSION /usr/local/include/$VERSION
fi

# Install pip
wget --retry-connrefused --waitretry=1 --read-timeout=20 --timeout=15 --tries=5 https://bootstrap.pypa.io/get-pip.py
/usr/bin/$VERSION get-pip.py
/usr/bin/$VERSION -m pip install --no-cache-dir --upgrade pip
/usr/bin/$VERSION -m pip install -U setuptools


# For Python 3.13t, do not install twine as it does not have pre-built wheels

     * @throws IllegalArgumentException in case {@code request} is {@code null}
     */
    void install(@Nonnull ArtifactInstallerRequest request);

    /**
     * @param session the repository session
     * @param artifact the {@link ProducedArtifact} to install
     * @throws ArtifactInstallerException in case of an error which can be a given artifact cannot be found or the

        "package", "org.apache.maven.plugins:maven-rar-plugin:" + RAR_PLUGIN_VERSION + ":rar",
        "install", "org.apache.maven.plugins:maven-install-plugin:" + INSTALL_PLUGIN_VERSION + ":install",
        "deploy", "org.apache.maven.plugins:maven-deploy-plugin:" + DEPLOY_PLUGIN_VERSION + ":deploy"
    };
    // END SNIPPET: rar

    @Inject

# TensorFlow C API

- See [www.tensorflow.org/install/lang_c](https://www.tensorflow.org/install/lang_c)
- Nightly builds:
  - [Linux CPU-only](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-cpu-linux-x86_64.tar.gz)
  - [Linux GPU](https://storage.googleapis.com/tensorflow-nightly/github/tensorflow/lib_package/libtensorflow-gpu-linux-x86_64.tar.gz)

---

## FastAPI installieren { #install-fastapi }

Der erste Schritt besteht darin, FastAPI zu installieren.

Stellen Sie sicher, dass Sie eine [virtuelle Umgebung](../virtual-environments.md) erstellen, sie aktivieren und dann **FastAPI installieren**:

<div class="termy">

```console
$ pip install "fastapi[standard]"

---> 100%
```

</div>

/// note | Hinweis

Если вы не хотите иметь эти необязательные зависимости, установите просто `pip install fastapi`.

Если вы хотите установить стандартные зависимости, но без `fastapi-cloud-cli`, установите `pip install "fastapi[standard-no-fastapi-cloud-cli]"`.

You can use **Pydantic models** to declare **form fields** in FastAPI.

/// info

To use forms, first install [`python-multipart`](https://github.com/Kludex/python-multipart).

Make sure you create a [virtual environment](../virtual-environments.md), activate it, and then install it, for example:

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

///

/// note

This is supported since FastAPI version `0.113.0`. 🤓

# "TFCI_MACOS_PYENV_INSTALL_ENABLE" controls whether to use Pyenv to install
# the Python version set in "TFCI_PYTHON_VERSION" and use it as default.
# We enable this in the nightly and release builds because before uploading the
# wheels, we install them in a virtual environment and run some smoke tests on
# it. TFCI Mac VMs only have one Python version installed so we need to install
# the other versions manually.

    cli_main = None  # type: ignore


def main() -> None:
    if not cli_main:  # type: ignore[truthy-function]  # ty: ignore[unused-ignore-comment]
        message = 'To use the fastapi command, please install "fastapi[standard]":\n\n\tpip install "fastapi[standard]"\n'
        print(message)
        raise RuntimeError(message)  # noqa: B904

### Installing xl-meta

To install, [Go](https://golang.org/dl/) must be installed. Once installed, execute this to install the binary:

```bash
go install github.com/minio/minio/docs/debugging/xl-meta@latest
```

### Using xl-meta