Use the `TestClient` object the same way as you do with `httpx`.

Write simple `assert` statements with the standard Python expressions that you need to check (again, standard `pytest`).

```Python hl_lines="2  12  15-18"
{!../../docs_src/app_testing/tutorial001.py!}
```

/// tip

Notice that the testing functions are normal `def`, not `async def`.

      futureTasks.removeAt(existingIndex) // Already scheduled later: reschedule below!
    }
    task.nextExecuteNanoTime = executeNanoTime
    taskRunner.logger.taskLog(task, this) {
      if (recurrence) {
        "run again after ${formatDuration(executeNanoTime - now)}"
      } else {
        "scheduled after ${formatDuration(executeNanoTime - now)}"
      }
    }

./mc mb -l myminio/versioned

./mc mirror internal myminio/versioned/ --quiet >/dev/null

## Soft delete (creates delete markers)
./mc rm -r --force myminio/versioned >/dev/null

## mirror again to create another set of version on top
./mc mirror internal myminio/versioned/ --quiet >/dev/null

expected_checksum=$(./mc cat internal/dsync/drwmutex.go | md5sum)

user_count=$(./mc admin user list myminio/ | wc -l)

   *         .put(Handler.class, new QuuxHandler())
   *         .build();
   * }</pre>
   *
   * <p>After invoking {@link #build()} it is still possible to add more entries and build again.
   * Thus each map generated by this builder will be a superset of any map generated before it.
   *
   * @since 2.0
   */
  public static final class Builder<B> {

    return snapshot().toArray(array);
  }

  /*
   * We'd love to use 'new ArrayList(this)' or 'list.addAll(this)', but
   * either of these would recurse back to us again!
   */
  private List<E> snapshot() {
    List<E> list = newArrayListWithExpectedSize(size());
    for (Multiset.Entry<E> entry : entrySet()) {
      E element = entry.getElement();

    * E.g., `await myfile.seek(0)` would go to the start of the file.
    * This is especially useful if you run `await myfile.read()` once and then need to read the contents again.
* `close()`: Closes the file.

As all these methods are `async` methods, you need to "await" them.

For example, inside of an `async` *path operation function* you can get the contents with:

```Python

Then we use the request directly, and extract the body as `bytes`. This means that FastAPI won't even try to parse the request payload as JSON.

And then in our code, we parse that YAML content directly, and then we are again using the same Pydantic model to validate the YAML content:

//// tab | Pydantic v2

```Python hl_lines="26-33"
{!> ../../docs_src/path_operation_advanced_configuration/tutorial007.py!}
```

////

                            if (!downloaded) {
                                // prevent additional checks of this artifact until it expires again
                                destination.setLastModified(System.currentTimeMillis());
                            }
                        } catch (UnsupportedOperationException e) {

You actually don't have users that log in to your application but robots, bots, or other systems, that have just an access token? Again, it all works the same.

Just use any kind of model, any kind of class, any kind of database that you need for your application. **FastAPI** has you covered with the dependency injection system.

## Code size

        "price": 42.0,
        "tax": 3.2
    },
    "user": {
        "username": "dave",
        "full_name": "Dave Grohl"
    },
    "importance": 5
}
```

Again, it will convert the data types, validate, document, etc.

## Multiple body params and query

Of course, you can also declare additional query parameters whenever you need, additional to any body parameters.