}

    taskFaker.runTasks()
    assertEvents(
      "take plan 0",
      "plan 0 TCP connecting...",
    )

    taskFaker.advanceUntil(250.ms)
    assertEvents(
      "take plan 1",
      "plan 1 TCP connecting...",
    )

    taskFaker.advanceUntil(500.ms)
    assertEvents(
      "take plan 2",
      "plan 0 cancel",
      "plan 1 cancel",
    )

Instead of that, by being an "asynchronous" system, once finished, the task can wait in line a little bit (some microseconds) for the computer / program to finish whatever it went to do, and then come back to take the results and continue working with them.

From the list of deployment concepts from above, using workers would mainly help with the **replication** part, and a little bit with the **restarts**, but you still need to take care of the others:

* **Security - HTTPS**
* **Running on startup**
* ***Restarts***

But this way we can focus on how the **Dependency Injection** system works.

### Create a dependency, or "dependable"

Let's first focus on the dependency.

It is just a function that can take all the same parameters that a *path operation function* can take:

=== "Python 3.10+"

    ```Python hl_lines="8-9"
    {!> ../../../docs_src/dependencies/tutorial001_an_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="8-11"

		Workload: podToWorkload(pod),
		Netns:    ns,
	}
	netns1 := p.UpsertPodCacheWithNetns(string(pod.UID), wl)
	netnsTaken := p.Take(string(pod.UID))
	if netns1 != netnsTaken {
		t.Fatalf("Expected the original Netns for the same uid, got %p and %p", netns1, ns)
	}
	if nil != p.Take(string(pod.UID)) {
		// expect nil because we already took it
		t.Fatalf("Expected nil Netns for the same uid twice")
	}
}

  latest version of some snapshot artifact. If m2 is offline, SCM operations
  cannot succeed; no artifact downloads can take place, regardless of whether
  they are snapshot versions; artifact deployment cannot take place; certain
  types of tests cannot be setup, since the container used to run them cannot be
  reached or started.

    repair:
      enabled: true
      hub: ""
      tag: ""

      # Repair controller has 3 modes. Pick which one meets your use cases. Note only one may be used.
      # This defines the action the controller will take when a pod is detected as broken.

      # labelPods will label all pods with <brokenPodLabelKey>=<brokenPodLabelValue>.

   * the map. Besides being slightly shorter than code that uses {@link #getMap()}, it also ensures
   * that callers don't pass an {@link Entry} by mistake.
   */
  protected V get(K key) {
    return getMap().get(key);
  }

  protected final K k0() {
    return e0().getKey();
  }

  protected final V v0() {
    return e0().getValue();
  }

	}
	if !result.Healthy {
		// As a maintenance call we are purposefully asked to be taken
		// down, this is for orchestrators to know if we can safely
		// take this server down, return appropriate error.
		if opts.Maintenance {
			writeResponse(w, http.StatusPreconditionFailed, nil, mimeNone)
		} else {
			writeResponse(w, http.StatusServiceUnavailable, nil, mimeNone)
		}

We may ask you to answer these questions directly in the GitHub issue or (for large changes) in a shared Google Doc.

If you are looking for good first issues, take a look at the list of [good first issues](https://github.com/gradle/gradle/labels/good%20first%20issue) that should be actionable and ready for a contribution.

### Security vulnerabilities