- Temporary credentials do not need to be stored with the application but are generated dynamically and provided to the application when requested. When (or even before) the temporary credentials expire, the application can request new credentials.

Following are advantages for using temporary credentials:

- Eliminates the need to embed long-term credentials with an application.

* Help [manage the repository](management-tasks.md){.internal-link target=_blank} (team members).

All these tasks help maintain the repository.

A round of applause to them. 👏 🙇

## Team

This is the current list of team members. 😎

```

</div>

And copy the output to the variable `SECRET_KEY` (don't use the one in the example).

Create a variable `ALGORITHM` with the algorithm used to sign the JWT token and set it to `"HS256"`.

Create a variable for the expiration of the token.

Define a Pydantic Model that will be used in the token endpoint for the response.

Create a utility function to generate a new access token.

 * or implied. See the License for the specific language governing permissions and limitations under
 * the License.
 */

/**
 * Static utilities for the eight primitive types and {@code void}, and value types for treating
 * them as unsigned or storing them in immutable arrays.
 *
 * <p>This package is a part of the open-source <a href="https://github.com/google/guava">Guava</a>
 * library.
 *
 * <p>See the Guava User Guide article on <a

## Additional Features

The main [Tutorial - User Guide](../tutorial/index.md){.internal-link target=_blank} should be enough to give you a tour through all the main features of **FastAPI**.

In the next sections you will see other options, configurations, and additional features.

/// tip

The next sections are **not necessarily "advanced"**.

And it's possible that for your use case, the solution is in one of them.

///

/// tip

Prefer to use the `Annotated` version if possible.

///

```Python hl_lines="9-13  17"
{!> ../../docs_src/query_param_models/tutorial001_py310.py!}
```

////

**FastAPI** will **extract** the data for **each field** from the **query parameters** in the request and give you the Pydantic model you defined.

## Check the Docs

You can see the query parameters in the docs UI at `/docs`:

# WARNING: DO NOT EDIT, THIS FILE IS PROBABLY A COPY
#
# The original version of this file is located in the https://github.com/istio/common-files repo.
# If you're looking at this file in a different repo and want to make a change, please go to the
# common-files repo, make the change there and check it in. Then come back to this repo and run
# "make update-common".

run:
  # Timeout for analysis, e.g. 30s, 5m.
  # Default: 1m
  timeout: 20m
  build-tags:

		scannerMG,
		auditMG,
		loggerWebhookMG,
	}

	// Bucket metrics are special, they always include the bucket label. These
	// metrics required a list of buckets to be passed to the loader, and the list
	// of buckets is not known until the request is made. So we keep a separate
	// map for bucket metrics and handle them specially.

	// Add the serverName and poolIndex labels to all non-cluster metrics.
	//

You can use virtually **any cloud provider** to deploy your FastAPI application.

In most of the cases, the main cloud providers have guides to deploy FastAPI with them.

## Cloud Providers - Sponsors

Some cloud providers ✨ [**sponsor FastAPI**](../help-fastapi.md#sponsor-the-author){.internal-link target=_blank} ✨, this ensures the continued and healthy **development** of FastAPI and its **ecosystem**.

package cmd

import "strconv"

func _() {
	// An "invalid array index" compiler error signifies that the constant values have changed.
	// Re-run the stringer command to generate them again.
	var x [1]struct{}
	_ = x[storageMetricMakeVolBulk-0]
	_ = x[storageMetricMakeVol-1]
	_ = x[storageMetricListVols-2]
	_ = x[storageMetricStatVol-3]