## Composition by architecture modules

Each [architecture module and platform](platforms.md) can contribute code to any of the runtimes.
Not every module contributes to every runtime.

The core-runtime module defines each runtime:

- The target JVM for the runtime. Each runtime has its own JVM compatibility constraints.

    )

    @BeforeEach
    fun setUp() {
        val stepsCapturer = slot<BuildSteps.() -> Unit>()
        every { buildType.steps } returns steps
        every {
            buildType.steps(capture(stepsCapturer))
        } answers {
            stepsCapturer.captured(steps)
            mockk()
        }
    }

    @Test

  public static <N> ImmutableGraph<N> transitiveClosure(Graph<N> graph) {
    ImmutableGraph.Builder<N> transitiveClosure =
        GraphBuilder.from(graph).allowsSelfLoops(true).<N>immutable();
    // Every node is, at a minimum, reachable from itself. Since the resulting transitive closure
    // will have no isolated nodes, we can skip adding nodes explicitly and let putEdge() do it.

    if (graph.isDirected()) {

## Composition by architecture modules

Each [architecture module and platform](platforms.md) can contribute code to any of the elements.
Not every module contributes to every element.

name: Feedback

on:
  schedule:
    - cron: '0 * * * *' # every hour
  workflow_dispatch:

permissions: {}

jobs:
  feedback:
    permissions:
      issues: write
      pull-requests: write
    runs-on: ubuntu-latest
    steps:
      # Feedback loop: ask for something on PR/Issue and close if not provided or return to the queue on update.
      # https://github.com/gradle/issue-management-action/blob/main/src/feedback.ts

  // implementation will use to handle pods of this class. The possible values
  // are specific to the node & CRI configuration.  It is assumed that all
  // handlers are available on every node, and handlers of the same name are
  // equivalent on every node.
  // For example, a handler called "runc" might specify that the runc OCI
  // runtime (using native Linux containers) will be used to run the containers
  // in a pod.

  // implementation will use to handle pods of this class. The possible values
  // are specific to the node & CRI configuration.  It is assumed that all
  // handlers are available on every node, and handlers of the same name are
  // equivalent on every node.
  // For example, a handler called "runc" might specify that the runc OCI
  // runtime (using native Linux containers) will be used to run the containers
  // in a pod.

  // CRI implementation will use to handle pods of this class. The possible
  // values are specific to the node & CRI configuration.  It is assumed that
  // all handlers are available on every node, and handlers of the same name are
  // equivalent on every node.
  // For example, a handler called "runc" might specify that the runc OCI
  // runtime (using native Linux containers) will be used to run the containers
  // in a pod.

name: 'Requeue stale team-triage items'
on:
  schedule:
    # Execute every day at 00:05 to avoid conflicts with other workflows
    - cron: '5 0 * * *'

permissions: {}

jobs:
  requeue:
    permissions:
      issues: write
      pull-requests: write
    runs-on: ubuntu-latest
    steps:
      - uses: actions/stale@v9
        with:
          operations-per-run: 50
          remove-stale-when-updated: false

Then wrap the WSGI (e.g. Flask) app with the middleware.

And then mount that under a path.

```Python hl_lines="2-3  23"
{!../../../docs_src/wsgi/tutorial001.py!}
```

## Check it

Now, every request under the path `/v1/` will be handled by the Flask application.

And the rest will be handled by **FastAPI**.