And as the write operation doesn't use `async` and `await`, we define the function with normal `def`:

{* ../../docs_src/background_tasks/tutorial001.py hl[6:9] *}

## Add the background task

Inside of your *path operation function*, pass your task function to the *background tasks* object with the method `.add_task()`:

{* ../../docs_src/background_tasks/tutorial001.py hl[14] *}

`.add_task()` receives as arguments:

  optional k8s.io.apimachinery.pkg.util.intstr.IntOrString maxUnavailable = 3;

  // UnhealthyPodEvictionPolicy defines the criteria for when unhealthy pods
  // should be considered for eviction. Current implementation considers healthy pods,
  // as pods that have status.conditions item with type="Ready",status="True".
  //
  // Valid policies are IfHealthyBudget and AlwaysAllow.
  // If no policy is specified, the default behavior will be used,

				CalculatedSHA256: "88d4266fd4e6338d13b845fcf289579d209c897823b9217da3e161936f031589",
			},
		},

		// Input with size more than the size of actual data inside the reader.
		8: {
			bucketName: bucket, objName: object, inputData: []byte("abcd"),
			inputMeta: map[string]string{"etag": "e2fc714c4727ee9395f324cd2e7f331e"}, inputDataSize: int64(len("abcd") + 1),

/// note | "Technical Details"

This only happens when you install using this included `requirements.txt` instead of running `pip install fastapi` directly.

That is because inside the `requirements.txt` file, the local version of FastAPI is marked to be installed in "editable" mode, with the `-e` option.

///

### Format the code

Or you might have any other way to communicate with the WebSocket endpoint.

---

But for this example, we'll use a very simple HTML document with some JavaScript, all inside a long string.

This, of course, is not optimal and you wouldn't use it for production.

In production you would have one of the options above.

from tensorflow.python.tools import module_util as _module_util
from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader

# Make sure code inside the TensorFlow codebase can use tf2.enabled() at import.
_os.environ["TF2_BEHAVIOR"] = "1"
from tensorflow.python import tf2 as _tf2
_tf2.enable()

# API IMPORTS PLACEHOLDER

# WRAPPER_PLACEHOLDER

Create metadata for your tags and pass it to the `openapi_tags` parameter:

```Python hl_lines="3-16  18"
{!../../docs_src/metadata/tutorial004.py!}
```

Notice that you can use Markdown inside of the descriptions, for example "login" will be shown in bold (**login**) and "fancy" will be shown in italics (_fancy_).

/// tip

You don't have to add metadata for all the tags that you use.

///

range.setEnd(end, 0);\n  const { commonAncestorContainer } = range;\n\n  // Both nodes are inside #document\n  if (\n    (element1 !== commonAncestorContainer &&\n      element2 !== commonAncestorContainer) ||\n    start.contains(end)\n  ) {\n    if (isOffsetContainer(commonAncestorContainer)) {\n      return commonAncestorContainer;\n    }\n\n    return getOffsetParent(commonAncestorContainer);\n  }\n\n  // one of the nodes is inside shadowDOM, find which one\n  const element1root = getRoot(element1);\n  if (element1root.host)...

		"/.dockerenv",
		"/run/.containerenv",
	} {
		_, err = os.Stat(envfile)
		if err == nil {
			return true
		}
	}
	if osIsNotExist(err) {
		// if none of the files are present we may be running inside
		// CRI-O, Containerd etc..
		// Fallback to our container specific ENVs if they are set.
		return env.IsSet("MINIO_ACCESS_KEY_FILE")
	}

	// Log error, as we will not propagate it to caller

    // In practice, wildcards are always in the leftmost position. For now, this implementation
    // cheats and does not attempt every possible permutation. Instead, it only considers wildcards
    // in the leftmost position. We assert this fact when we generate the public suffix file. If
    // this assertion ever fails we'll need to refactor this implementation.
    var wildcardMatch: String? = null