* 🔧 Fix Type hint of `auto_error` which does not need to be `Optional[bool]`. PR [#4933](https://github.com/tiangolo/fastapi/pull/4933) by [@DavidKimDY](https://github.com/DavidKimDY).
* 🔧 Update mypy config, use `strict = true` instead of manual configs. PR [#4605](https://github.com/tiangolo/fastapi/pull/4605) by [@michaeloliverx](https://github.com/michaeloliverx).

            ).replaceCollectAllCandidates(true)

            val result = analysisContext.callResolver.resolveFunctionCall(callResolutionContext)
            val candidates = result.allCandidates?.let { analysisContext.overloadingConflictResolver.filterOutEquivalentCalls(it) }
                ?: error("allCandidates is null even when collectAllCandidates = true")

            candidates.flatMap { candidate ->

    taskFaker.advanceUntil(0.µs)
    assertThat(log).isEmpty()

    taskFaker.advanceUntil(100.µs)
    assertThat(log).containsExactlyInAnyOrder(
      "one:run@100000 parallel=true",
      "two:run@100000 parallel=true",
      "three:run@100000 parallel=true",
    )

    taskFaker.assertNoMoreTasks()

    assertThat(testLogHandler.takeAll()).containsExactlyInAnyOrder(
      "FINE: Q10000 scheduled after 100 µs: task one",

    object : Runnable {
      override fun run() {
        var incrementedRunCallCount = false
        while (true) {
          val task =
            ******@****.***ck {
              if (!incrementedRunCallCount) {
                incrementedRunCallCount = true
                runCallCount++
              }
              awaitTaskToRun()
            } ?: return

    taskRunner.lock.withLock {
      yieldUntil()
    }
  }

  /** Process the queue until [condition] returns true. */
  private tailrec fun yieldUntil(
    strategy: ResumePriority = ResumePriority.AfterEnqueuedTasks,
    condition: () -> Boolean = { true },
  ) {
    taskRunner.assertThreadHoldsLock()
    val self = currentTask

    val yieldCompleteTask =
      object : SerialTask {

        boundaries.

*   XLA compilation:

    *   `tf.function(experimental_compile=True)` has become a stable API,
        renamed `tf.function(jit_compile=True)`.
    *   XLA can now compile MirroredStrategy: the step function passed
        to`strategy.run` can now be annoted with `jit_compile=True`.

*   `tf.distribute`:

    *   Rename `experimental_prefetch_to_device` in `tf.distribute.InputOptions`

```

## Other Reference

The framework for this implementation of the CNI plugin is based on the
[containernetworking sample plugin](https://github.com/containernetworking/plugins/tree/main/plugins/sample)

The details for the deployment & installation of this plugin were pretty much lifted directly from the
[Calico CNI plugin](https://github.com/projectcalico/cni-plugin).

Specifically:

    [the Android flavor](https://github.com/google/guava/wiki/Android). You can
    find the Android Guava source in the [`android` directory].

[`android` directory]: https://github.com/google/guava/tree/master/android

## Adding Guava to your build

Guava's Maven group ID is `com.google.guava`, and its artifact ID is `guava`.
Guava provides two different "flavors": one for use on a (Java 8+) JRE and one