Here are the affected tests:
EOF
    while read dep; do
      echo "For dependency $dep:"
      # For every missing dependency, find the tests which directly depend on
      # it, and print that list for debugging. Not really clear if this is
      # helpful since the only examples I've seen are enormous.
      bazel cquery "rdeps(kind(py_test, $(cat $BATS_TEST_TMPDIR/deps)), $dep, 1)"

   * will silently add the missing nodes to the graph, then add the edge connecting them. We are not
   * using the proxy methods here as we want to test {@code addEdge} when the end-points are not
   * elements of the graph.
   */
  @Test
  public void addEdge_nodesNotInGraph() {
    assume().that(graphIsMutable()).isTrue();

    networkAsMutableNetwork.addNode(N1);

* Add RequestedToCapacityRatioPriority priority function. Function is parametrized with set of points mapping node utilization (0-100) to score (0-10). ([#63929](https://github.com/kubernetes/kubernetes/pull/63929), [@losipiuk](https://github.com/losipiuk))
    * Function is linear between points. Resource utilization is defined as one minus ratio of total amount of resource requested by pods on node and node's capacity (scaled to 100).

		size:          actualSize,
		offset:        0,
		reader:        nil,
	}
}

// Seek call to implement io.Seeker
func (rsc *ObjectReadSeekCloser) Seek(offset int64, whence int) (int64, error) {
	// fmt.Printf("actual: %v offset: %v (%v) whence: %v\n", rsc.size, offset, rsc.offset, whence)
	switch whence {
	case io.SeekStart:
		rsc.offset = offset
	case io.SeekCurrent:
		rsc.offset += offset
	case io.SeekEnd:

which is an integer.
        * ScaleRef of type SubresourceReference in HorizontalPodAutoscalerSpec which
referred to scale subresource of the resource being scaled was replaced by
ScaleTargetRef which points just to the resource being scaled.
        * In extensions/v1beta1 if CPUUtilization in HorizontalPodAutoscalerSpec was not
specified it was set to 80 by default while in autoscaling/v1 HPA object

		} else {
			healingLogEvent(ctx, "Healing of drive '%s' is finished (healed: %d, skipped: %d).", disk, tracker.ItemsHealed, tracker.ItemsSkipped)
		}
	}
	if serverDebugLog {
		tracker.printTo(os.Stdout)
		fmt.Printf("\n")
	}

	if tracker.HealID == "" { // HealID was empty only before Feb 2023
		bugLogIf(ctx, tracker.delete(ctx))
		return nil
	}

		return err
	}
	return nil
}

func TestPropagateUnscoped(t *testing.T) {
	_DB, err := OpenTestConnection(&gorm.Config{
		PropagateUnscoped: true,
	})
	if err != nil {
		log.Printf("failed to connect database, got error %v", err)
		os.Exit(1)
	}

	_DB.Migrator().DropTable(&Product6{}, &ProductItem2{})
	_DB.AutoMigrate(&Product6{}, &ProductItem2{})

	p := Product6{

```Python
with open("./somefile.txt") as f:
    contents = f.read()
    print(contents)
```

Под капотом" open("./somefile.txt") создаёт объект называемый "контекстным менеджером".

Когда блок `with` завершается, он обязательно закрывает файл, даже если были исключения.

// explicitly by running a TPUReplicatedOutput operation on the parallel device.
//
// TODO(allenl): There are some use-cases that are only supported by copying to
// host at the moment (e.g. debug print on a tensor, .numpy(), etc.). We either
// need to return something here or address these use-cases one by one.
TFE_TensorHandle* CopyTensorFromParallelDevice(TFE_Context* context,

- Extend discovery GroupManager with Group lister interface ([#127524](https://github.com/kubernetes/kubernetes/pull/127524), [@mjudeikis](https://github.com/mjudeikis)) [SIG API Machinery]
- Fix kubectl doesn't print image volume when kubectl describe a pod with that volume ([#126706](https://github.com/kubernetes/kubernetes/pull/126706), [@carlory](https://github.com/carlory)) [SIG CLI]