It is possible to receive duplicate headers. That means, the same header with multiple values.

You can define those cases using a list in the type declaration.

You will receive all the values from the duplicate header as a Python `list`.

For example, to declare a header of `X-Token` that can appear more than once, you can write:

{* ../../docs_src/header_params/tutorial003_an_py310.py hl[9] *}

    /**
     * Check if directory can cache enumeration results
     * @param state lease state
     * @return true if directory enumeration can be cached
     */
    public static boolean canCacheEnumeration(int state) {
        return Smb2LeaseState.hasReadCaching(state);
    }

    /**
     * Check if directory can keep handles open
     * @param state lease state

Symmetrically, the same problem exists on the side of Gradle maintainers.
It should be clear when introducing a property what contract users can expect and what we can afford to provide.
As features progress through the lifecycle of stabilization and, possibly later, deprecation, the corresponding properties can also adjust accordingly.

**FastAPI <abbr title="command line interface">CLI</abbr>** is a command line program that you can use to serve your FastAPI app, manage your FastAPI project, and more.

When you install FastAPI (e.g. with `pip install "fastapi[standard]"`), it comes with a command line program you can run in the terminal.

To run your FastAPI app for development, you can use the `fastapi dev` command:

<div class="termy">

```console

You can use the same type declarations with `str`, `float`, `bool` and many other complex data types.

Several of these are explored in the next chapters of the tutorial.

## Order matters { #order-matters }

When creating *path operations*, you can find situations where you have a fixed path.

# `Request` class

You can declare a parameter in a *path operation function* or dependency to be of type `Request` and then you can access the raw request object directly, without any validation, etc.

Read more about it in the [FastAPI docs about using Request directly](https://fastapi.tiangolo.com/advanced/using-request-directly/)

You can import it directly from `fastapi`:

```python
from fastapi import Request
```

/// tip

  scheme: http
  static_configs:
  - targets: ['localhost:9000']
```

##### Node (optional)

Optionally you can also collect per node metrics. This needs to be done on a per server instance.
The scrape configurations should use all the servers under `targets` so that graphing systems like
grafana can visualize them for all the nodes

```yaml
scrape_configs:
- job_name: minio-job
  metrics_path: /minio/v2/metrics/node

MinIO supports two ways of encrypting IAM and configuration data.
You can either use KES - together with an external KMS - or, much simpler,
set the env. variable `MINIO_KMS_SECRET_KEY` and start/restart the MinIO server. For more details about KES and how
to set it up refer to our [KMS Guide](https://github.com/minio/minio/blob/master/docs/kms/README.md).

Instead of configuring an external KMS you can start with a single key by

* Any program, any code, **can only do things** when it is being **executed**. So, when there's a **process running**.
* The process can be **terminated** (or "killed") by you, or by the operating system. At that point, it stops running/being executed, and it can **no longer do things**.

`@lru_cache` is part of `functools` which is part of Python's standard library, you can read more about it in the [Python docs for `@lru_cache`](https://docs.python.org/3/library/functools.html#functools.lru_cache).

## Recap { #recap }