They can always be passed via `-D` on the command line.
The feature should leave the experimental stage to receive a build option.

The difference between internal properties and experimental properties is the amount of publicity they are intended to receive.
If the intention is to gather user feedback on an early prototype, then the experimental property should be used.

* `limit`: with a value of `10`

As they are part of the URL, they are "naturally" strings.

But when you declare them with Python types (in the example above, as `int`), they are converted to that type and validated against it.

All the same process that applied for path parameters also applies for query parameters:

* Editor support (obviously)
* Data <dfn title="converting the string that comes from an HTTP request into Python data">"parsing"</dfn>

## Context

In a distributed team with many subteams, the best solution to communicate decisions is to use a format accessible by everyone in charge of development.

We use *Specification* and *Discovery* documents stored in Google Drive, but they present some downsides:

* They are rarely updated after creation and initial review, and then become hard to follow, especially after important decisions are made

    conflict with the copy of ListenableFuture in guava itself. If users are
    using an older version of Guava or a build system other than Gradle, they
    may see class conflicts. If so, they can solve them by manually excluding
    the listenablefuture artifact or manually forcing their build systems to
    use 9999.0-....
  </description>
  <build>
    <plugins>
      <plugin>

    that empty artifact over the "real" listenablefuture-1.0 -- avoiding a
    conflict with the copy of ListenableFuture in guava itself. If users are
    using an older version of Guava or a build system other than Gradle, they
    may see class conflicts. If so, they can solve them by manually excluding
    the listenablefuture artifact or manually forcing their build systems to
    use 9999.0-....
  </description>
  <build>

These dependencies can `raise` exceptions, the same as normal dependencies:

{* ../../docs_src/dependencies/tutorial006_an_py310.py hl[10,15] *}

### Return values { #return-values }

And they can return values or not, the values won't be used.

So, you can reuse a normal dependency (that returns a value) you already use somewhere else, and even though the value won't be used, the dependency will be executed:

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package okhttp3.internal.concurrent

/**
 * A unit of work that can be executed one or more times.
 *
 * Recurrence
 * ----------
 *
 * Tasks control their recurrence schedule. The [runOnce] function returns -1L to signify that the
 * task should not be executed again. Otherwise it returns a delay until the next execution.

But you still need to define what is the dependable, the callable that you pass as a parameter to `Depends()` or `Security()`.

There are multiple tools that you can use to create those dependables, and they get integrated into OpenAPI so they are shown in the automatic docs UI, they can be used by automatically generated clients and SDKs, etc.

You can import them from `fastapi.security`:

```python

   *   <li>The unreserved characters ".", "-", "~", and "_" remain the same.
   *   <li>The general delimiters "@" and ":" remain the same.
   *   <li>The subdelimiters "!", "$", "&amp;", "'", "(", ")", "*", "+", ",", ";", and "=" remain
   *       the same.
   *   <li>The space character " " is converted into %20.
   *   <li>Fragments allow unescaped "/" and "?", so they remain the same.

## Dependencies with `yield` and `scope`

When using dependencies with `yield`, they can have a `scope` that defines when the exit code is run.

Use the default scope `"request"` to run the exit code after the response is sent back.

```python
from typing import Annotated

from fastapi import Depends, FastAPI

app = FastAPI()


def get_db():