}
		return
	}

	objInfo := ObjectInfo{
		Bucket:  bucket,
		Name:    file.Name,
		Size:    int64(file.UncompressedSize64),
		ModTime: zipObjInfo.ModTime,
	}

	// Set standard object headers.
	if err = setObjectHeaders(ctx, w, objInfo, nil, opts); err != nil {
		writeErrorResponseHeadersOnly(w, toAPIError(ctx, err))
		return
	}

	// s3zip does not allow ranges.

[providers]
  [providers.file]
    filename = "routes.toml"
```

This tells Traefik to listen on port 9999 and to use another file `routes.toml`.

/// tip

We are using port 9999 instead of the standard HTTP port 80 so that you don't have to run it with admin (`sudo`) privileges.

///

Now create that other file `routes.toml`:

```TOML hl_lines="5  12  20"
[http]
  [http.middlewares]

		cause:      err,
	}
}

func errUnsupportedStorageClass(err error) *s3Error {
	return &s3Error{
		code:       "UnsupportedStorageClass",
		message:    "Encountered an invalid storage class. Only STANDARD, STANDARD_IA, and ONEZONE_IA storage classes are supported.",
		statusCode: 400,
		cause:      err,
	}

### Write your own async code

Starlette (and **FastAPI**) are based on <a href="https://anyio.readthedocs.io/en/stable/" class="external-link" target="_blank">AnyIO</a>, which makes it compatible with both Python's standard library <a href="https://docs.python.org/3/library/asyncio-task.html" class="external-link" target="_blank">asyncio</a> and <a href="https://trio.readthedocs.io/en/stable/" class="external-link" target="_blank">Trio</a>.

 * every module to patch.</p>
 *
 * <p>Path types are often exclusive. For example, a dependency should not be both on the Java class-path
 * and on the Java module-path.</p>
 *
 * <h2>Relationship with Java compiler standard location</h2>
 * This enumeration is closely related to the {@link JavaFileManager.Location} enumerations.
 * A difference is that the latter enumerates input and output files, while {@code JavaPathType}

set to "-", storageClassName: "", which disables dynamic provisioning ## If undefined (the default) or set to null, no storageClassName spec is ## set, choosing the default provisioner. (gp2 on AWS, standard on ## GKE, AWS & OpenStack) ## ## Storage class of PV to bind. By default it looks for standard storage class. ## If the PV uses a different storage class, specify that here. storageClass: "" VolumeName: "" accessMode: ReadWriteOnce size: 500Gi ## If subPath is set mount a sub folder of a volume...

set to "-", storageClassName: "", which disables dynamic provisioning ## If undefined (the default) or set to null, no storageClassName spec is ## set, choosing the default provisioner. (gp2 on AWS, standard on ## GKE, AWS & OpenStack) ## ## Storage class of PV to bind. By default it looks for standard storage class. ## If the PV uses a different storage class, specify that here. storageClass: "" VolumeName: "" accessMode: ReadWriteOnce size: 500Gi ## If subPath is set mount a sub folder of a volume...

set to "-", storageClassName: "", which disables dynamic provisioning ## If undefined (the default) or set to null, no storageClassName spec is ## set, choosing the default provisioner. (gp2 on AWS, standard on ## GKE, AWS & OpenStack) ## ## Storage class of PV to bind. By default it looks for standard storage class. ## If the PV uses a different storage class, specify that here. storageClass: "" VolumeName: "" accessMode: ReadWriteOnce size: 500Gi ## If subPath is set mount a sub folder of a volume...

set to "-", storageClassName: "", which disables dynamic provisioning ## If undefined (the default) or set to null, no storageClassName spec is ## set, choosing the default provisioner. (gp2 on AWS, standard on ## GKE, AWS & OpenStack) ## ## Storage class of PV to bind. By default it looks for standard storage class. ## If the PV uses a different storage class, specify that here. storageClass: "" VolumeName: "" accessMode: ReadWriteOnce size: 500Gi ## If subPath is set mount a sub folder of a volume...

That way, it behaves almost as if it was just a global variable. But as it uses a dependency function, then we can override it easily for testing.

`@lru_cache` is part of `functools` which is part of Python's standard library, you can read more about it in the <a href="https://docs.python.org/3/library/functools.html#functools.lru_cache" class="external-link" target="_blank">Python docs for `@lru_cache`</a>.

## Recap