///

The `status_code` parameter receives a number with the HTTP status code.

/// info

`status_code` can alternatively also receive an `IntEnum`, such as Python's <a href="https://docs.python.org/3/library/http.html#http.HTTPStatus" class="external-link" target="_blank">`http.HTTPStatus`</a>.

///

It will:

                + "      mvn install:install-file -DgroupId=aGroupId -DartifactId=anArtifactId -Dversion=aVersion "
                + "-Dclassifier=aClassifier -Dpackaging=jar -Dfile=/path/to/file" + LS + LS
                + "  Alternatively, if you host your own repository you can deploy the file there: " + LS
                + "      mvn deploy:deploy-file -DgroupId=aGroupId -DartifactId=anArtifactId"

```

</div>

It will serve the documentation on `http://127.0.0.1:8008`.

That way, you can edit the documentation/source files and see the changes live.

/// tip

Alternatively, you can perform the same steps that scripts does manually.

Go into the language directory, for the main docs in English it's at `docs/en/`:

```console
$ cd docs/en/
```

            sb.append(" -Dfile=/path/to/file");
            sb.append(LS);

            // If people want to deploy it
            sb.append(LS);
            sb.append(indentation);
            sb.append("Alternatively, if you host your own repository you can deploy the file there: ");
            sb.append(LS);
            sb.append(indentation);
            sb.append("    mvn deploy:deploy-file -DgroupId=");

Notably, this prevents us from sending a GOAWAY to notify peers we have shutdown.

As a result, while we meet our two must-haves (send and accept traffic throughout the entire pod lifetime), we do not have an optimal solution here yet.
Alternatively, we could send the GOAWAY prior to the pod termination (assuming this allows existing and new connections to function still).

## Ztunnel Shutdown/Upgrade/Restart

</div>

The response would be something like:

```JSON
{
    "message": "Hello World",
    "root_path": "/api/v1"
}
```

### Setting the `root_path` in the FastAPI app

Alternatively, if you don't have a way to provide a command line option like `--root-path` or equivalent, you can set the `root_path` parameter when creating your FastAPI app:

{* ../../docs_src/behind_a_proxy/tutorial002.py hl[3] *}

    and
    [GPU developer Dockerfile](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/dockerfiles/dockerfiles/devel-gpu.Dockerfile)
    for the required packages. Alternatively, use the said
    [tensorflow/build Docker images](https://hub.docker.com/r/tensorflow/build)
    (`tensorflow/tensorflow:devel` and `tensorflow/tensorflow:devel-gpu` are no

/// tip

Traefik has integrations with Docker, Kubernetes, and others, so it's very easy to set up and configure HTTPS for your containers with it.

///

Alternatively, HTTPS could be handled by a cloud provider as one of their services (while still running the application in a container).

## Running on Startup and Restarts

For example:

	// #cgo CFLAGS: -DPNG_DEBUG=1
	// #cgo amd64 386 CFLAGS: -DX86=1
	// #cgo LDFLAGS: -lpng
	// #include <png.h>
	import "C"

Alternatively, CPPFLAGS and LDFLAGS may be obtained via the pkg-config tool
using a '#cgo pkg-config:' directive followed by the package names.
For example:

	// #cgo pkg-config: png cairo
	// #include <png.h>
	import "C"

        mean, var = tf.nn.moments(self.kernel, axes=[0, 1, 2], keepdims=True)
        return self.convolution_op(inputs, (self.kernel - mean) / tf.sqrt(var +
        1e-10))` Alternatively, you can override `convolution_op`: `python class
        StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs,
        kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2],