// ImageFsStats returns the stats of the image filesystem.
	// Kubelet allows three options for container filesystems
	// Everything is on node fs (so no image filesystem)
	// Container storage is on a dedicated disk (imageFs is separate from root)
	// Container Filesystem is on root and Images are stored on ImageFs
	// First return parameter is the image filesystem and
	// second parameter is the container filesystem

//            }
        }
        baselineVersions
    }
...
```

## Perform the search

While doing the search no other activity should be done on the machine. Therefore, it
is best to have a dedicated machine running the search, e.g., using the CI infrastructure.

In order to check if the test passes for the current revision you can use [check-rev.sh](check-rev.sh).

			expectedTaintsToRemove: []v1.Taint{
				{
					Key:    "foo",
					Effect: v1.TaintEffectNoSchedule,
				},
				{
					Key:    "bar",
					Effect: v1.TaintEffectNoSchedule,
				},
				{
					Key:    "qux",
					Effect: v1.TaintEffectNoSchedule,
				},
				{
					Key: "dedicated",
				},
			},
			expectedErr: false,
		},

<2> All other parameters must be annotated with link:{javadocPath}/org/gradle/api/tasks/Input.html[`@Input`].

== Using lifecycle event providers

Besides the usual value providers, Gradle provides dedicated providers for build lifecycle events, like build completion.
These providers are intended for dataflow actions and provide additional ordering guarantees when used as inputs.

		UsedBytes:      &rootFsInfo.Usage,
		InodesFree:     rootFsInfo.InodesFree,
		Inodes:         rootFsInfo.Inodes,
		InodesUsed:     nodeFsInodesUsed,
	}, nil
}

// HasDedicatedImageFs returns true if a dedicated image filesystem exists for storing images.
// KEP Issue Number 4191: Enhanced this to allow for the containers to be separate from images.
func (p *Provider) HasDedicatedImageFs(ctx context.Context) (bool, error) {

* Take a username.
* Generate a document ID from it.
* Get the document with that ID.
* Put the contents of the document in a `UserInDB` model.

                 * loaded into the core and hence available to plugins, in contrast to bigger extensions that were
                 * loaded into a dedicated realm which is invisible to plugins (MNG-2749).
                 */
                publicArtifacts.addAll(artifacts);
            }
        }

        if (logger.isDebugEnabled()) {

converter, CPU kernels, etc.). Writing shape functions and gradients for these
ops is extremely difficult. `tf.function` makes some parts of the implementation
simpler, but it introduces runtime overhead and it cannot easily be used to
apply dedicated optimizations to op kernels.

The composable TF framework allows the user to define portable TF ops as
compositions of other TF ops. It translates a Python function used to define the

    // eagerly because it's very likely that those methods would only be called on the selected variant. Therefore it's a waste of time
    // to compute them eagerly when those filtering methods are called. We cannot use a dedicated, lazy wrapper over configuration metadata
    // because we need the attributes to be computes lazily too, because of component metadata rules.
    private final DependencyFilter dependencyFilter;

import okhttp3.internal.assertNotHeld
import okhttp3.internal.okHttpName

/**
 * A set of tasks that are executed in sequential order.
 *
 * Work within queues is not concurrent. This is equivalent to each queue having a dedicated thread
 * for its work; in practice a set of queues may share a set of threads to save resources.
 */
class TaskQueue internal constructor(
  internal val taskRunner: TaskRunner,
  internal val name: String,
) {