# facilitate profiling endpoints, since inner functions are harder to profile.
    assert dependant.call is not None, "dependant.call must be a function"

    if is_coroutine:
        return await dependant.call(**values)
    else:
        return await run_in_threadpool(dependant.call, **values)


def get_request_handler(
    dependant: Dependant,
    body_field: Optional[ModelField] = None,

	bucketLoader BucketMetricsLoaderFn

	// Cache for all metrics groups. Set via `.SetCache` method.
	cache *metricsCache

	// managed values follow:

	// map of metric descriptors by metric name.
	descriptorMap map[MetricName]MetricDescriptor

	// For bucket metrics, the list of buckets is stored here. It is used in the
	// Collect() call. This is protected by the `bucketsLock`.
	bucketsLock sync.Mutex

 * [GoogleAppEngineOkHttp](https://github.com/apkelly/GoogleAppEngineOkHttp): An OkHttp Call that works on Google App Engine.
 * [Hunter](https://github.com/Leaking/Hunter): Configure all OkHttpClients centrally.
 * ⬜️ [Moshi](https://github.com/square/moshi): A modern JSON library for Android and Java.

The key factor is that a dependency should be a "callable".

A "**callable**" in Python is anything that Python can "call" like a function.

So, if you have an object `something` (that might _not_ be a function) and you can "call" it (execute it) like:

```Python
something()
```

or

```Python
something(some_argument, some_keyword_argument="foo")
```

 * iterators that don't support {@code remove()}. Otherwise, all optional operations are supported.
 * Null row keys, columns keys, and values are not supported.
 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs

      Class<?> value) {
    forward.put(key, value);
    backward.put(value, key);
  }

  /**
   * Returns an immutable set of all nine primitive types (including {@code void}). Note that a
   * simpler way to test whether a {@code Class} instance is a member of this set is to call {@link
   * Class#isPrimitive}.
   *
   * @since 3.0
   */
  public static Set<Class<?>> allPrimitiveTypes() {

 * iterators that don't support {@code remove()}. Otherwise, all optional operations are supported.
 * Null row keys, columns keys, and values are not supported.
 *
 * <p>Lookups by row key are often faster than lookups by column key, because the data is stored in
 * a {@code Map<R, Map<C, V>>}. A method call like {@code column(columnKey).get(rowKey)} still runs

### Short { #short }

It has sensible **defaults** for everything, with optional configurations everywhere. All the parameters can be fine-tuned to do what you need and to define the API you need.

But by default, it all **"just works"**.

### Validation { #validation }

* Validation for most (or all?) Python **data types**, including:
    * JSON objects (`dict`).
    * JSON array (`list`) defining item types.

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.model_dump()
```

we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).

And if we call:

```Python
print(user_dict)
```

we would get a Python `dict` with:

```Python
{

   *
   * <p><b>Note:</b> The returned map's values are guaranteed to be of type {@link SortedSet}. To
   * obtain this map with the more specific generic type {@code Map<K, SortedSet<V>>}, call {@link
   * Multimaps#asMap(SortedSetMultimap)} instead. <b>However</b>, the returned map <i>itself</i> is
   * not necessarily a {@link SortedMap}: A {@code SortedSetMultimap} must expose the <i>values</i>