h.mutex.RLock()
	defer h.mutex.RUnlock()

	// Make a copy before returning the value
	retMap := make(map[madmin.HealItemType]int64, len(h.scannedItemsMap))
	for k, v := range h.scannedItemsMap {
		retMap[k] = v
	}

	return retMap
}

// getHealedItemsMap - returns the map of all healed items against type

You could also use it to generate code automatically, for clients that communicate with your API. For example, frontend, mobile or IoT applications.

## Recap, step by step

### Step 1: import `FastAPI`

{* ../../docs_src/first_steps/tutorial001.py hl[1] *}

`FastAPI` is a Python class that provides all the functionality for your API.

/// tip

Prefer to use the `Annotated` version if possible.

///

```Python hl_lines="11  18"
{!> ../../docs_src/request_files/tutorial003.py!}
```

////

## Recap

Password: `secret2`

And try to use the operation `GET` with the path `/users/me`.

You will get an "Inactive user" error, like:

```JSON
{
  "detail": "Inactive user"
}
```

## Recap

You now have the tools to implement a complete security system based on `username` and `password` for your API.

## Recap

Having **HTTPS** is very important, and quite **critical** in most cases. Most of the effort you as a developer have to put around HTTPS is just about **understanding these concepts** and how they work.

You can learn how to use them and how they are integrated into **FastAPI** later in the **Advanced User Guide**.

## Recap

With what you have seen up to now, you can set up a secure **FastAPI** application using standards like OAuth2 and JWT.

In almost any framework handling the security becomes a rather complex subject quite quickly.

## Recap

You can use Pydantic Settings to handle the settings or configurations for your application, with all the power of Pydantic models.

* By using a dependency you can simplify testing.
* You can use `.env` files with it.

{!> ../../docs_src/response_model/tutorial006_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="31  37"
{!> ../../docs_src/response_model/tutorial006.py!}
```

////

## Recap

Use the *path operation decorator's* parameter `response_model` to define response models and especially to ensure private data is filtered out.

/// tip

Prefer to use the `Annotated` version if possible.

///

```Python hl_lines="10"
{!> ../../docs_src/query_params_str_validations/tutorial014.py!}
```

////

## Recap

You can declare additional validations and metadata for your parameters.

Generic validations and metadata:

* `alias`
* `title`
* `description`
* `deprecated`

      }
      if (!lowerBound.equals(range.upperBound)) {
        gaps.put(lowerBound, new RangeMapEntry<K, V>(lowerBound, range.upperBound, value));
      }
    }

    // Remap all existing entries in the merge range.
    final Iterator<Entry<Cut<K>, RangeMapEntry<K, V>>> backingItr = entriesInMergeRange.iterator();
    while (backingItr.hasNext()) {