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

As these keys may not necessarily be part of the OpenAPI specification, some OpenAPI tools, for example [the OpenAPI validator](https://validator.swagger.io/), may not work with your generated schema.

///

## Recap

You can use Pydantic's `Field` to declare extra validations and metadata for model attributes.

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.

But if you need to access variables and objects from the same **FastAPI** app, or you need to perform small background tasks (like sending an email notification), you can simply just use `BackgroundTasks`.

## Recap

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.

      }
      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()) {

* The alternative documentation will also reflect the new query parameter and body:

![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)

### Recap

In summary, you declare **once** the types of parameters, body, etc. as function parameters.

You do that with standard modern Python types.