---

If you just don't know, use normal `def`.

---

**Note**: You can mix `def` and `async def` in your *path operation functions* as much as you need and define each one using the best option for you. FastAPI will do the right thing with them.

Anyway, in any of the cases above, FastAPI will still work asynchronously and be extremely fast.

   * invokeAny} which are pending serial execution, even the subset of the tasks that have not yet
   * started execution. It is unclear from the {@code ExecutorService} specification if these should
   * be included, and it's much easier to implement the interpretation that they not be. Finally, a
   * call to {@code shutdown} or {@code shutdownNow} may result in concurrent calls to {@code

Abhängigkeiten mit `yield` haben sich im Laufe der Zeit weiterentwickelt, um verschiedene Anwendungsfälle abzudecken und einige Probleme zu beheben.

  "durations" : [ {
    "testProject" : "springBootApp",
    "linux" : 570
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.corefeature.RichConsolePerformanceTest.clean assemble with rich console",
  "durations" : [ {
    "testProject" : "bigNative",
    "linux" : 163
  }, {
    "testProject" : "largeJavaMultiProject",
    "linux" : 890
  }, {

      // timed out. e.g. if we weren't event able to grab the lock within the timeout we would never
      // even check the guard. I don't think we care too much about this use case but it could lead
      // to a confusing error message.
      throw new TimeoutException("Timed out waiting for " + this + " to reach the RUNNING state.");
    }
  }

  @Override

Import the `Response` class (sub-class) you want to use and declare it in the *path operation decorator*.

For large responses, returning a `Response` directly is much faster than returning a dictionary.

      "coverage" : {
        "per_day" : [ "linux" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.regression.corefeature.RichConsolePerformanceTest.clean assemble with rich console",
    "groups" : [ {
      "testProject" : "bigNative",
      "coverage" : {
        "per_day" : [ "linux" ]
      }
    }, {
      "testProject" : "largeJavaMultiProject",
      "coverage" : {

Your server(s) is (are) a **resource**, you can consume or **utilize**, with your programs, the computation time on the CPUs, and the RAM memory available.

How much of the system resources do you want to be consuming/utilizing? It might be easy to think "not much", but in reality, you will probably want to consume **as much as possible without crashing**.

    --hash=sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c
    # via rich
requests==2.32.4 \
    --hash=sha256:27babd3cda2a6d50b30443204ee89830707d396671944c998b5975b031ac2b2c \
    --hash=sha256:27d0316682c8a29834d3264820024b62a36942083d52caf2f14c0591336d3422
    # via -r ci/official/requirements_updater/requirements.in
rich==14.0.0 \
    --hash=sha256:1c9491e1951aac09caffd42f448ee3d04e58923ffe14993f6e83068dc395d7e0 \

  <name>Guava: Google Core Libraries for Java</name>
  <description>
    Guava is a suite of core and expanded libraries that include
    utility classes, Google's collections, I/O classes, and
    much more.
  </description>
  <url>https://github.com/google/guava</url>
  <dependencies>
    <dependency>
      <groupId>com.google.guava</groupId>
      <artifactId>failureaccess</artifactId>