// Returns "/tensorflow/core/checkpoint/sharding/num_checkpoint_shards_written"
// cell which describes how many checkpoint shard files were written during
// saving.
monitoring::CounterCell& NumCheckpointShardsWritten();

// Returns "/tensorflow/core/checkpoint/sharding/callback_description" cell
// which describes the callback used to shard the checkpoint during saving.
monitoring::GaugeCell<std::string>& ShardingCallbackDescription();

{{- if .Values.cni.resourceQuotas.enabled }}
apiVersion: v1
kind: ResourceQuota
metadata:
  name: {{ template "name" . }}-resource-quota
  namespace: {{ .Release.Namespace }}
spec:
  hard:
    pods: {{ .Values.cni.resourceQuotas.pods | quote }}
  scopeSelector:
    matchExpressions:
    - operator: In
      scopeName: PriorityClass
      values:
      - system-node-critical

                    setDirectory(workingDir).
                    setCloneSubmodules(true);
            git = clone.call();
            git.reset().setMode(ResetCommand.ResetType.HARD).setRef(ref.getCanonicalId()).call();
        } catch (GitAPIException | URISyntaxException | JGitInternalException e) {
            throw wrapGitCommandException("clone", gitSpec.getUrl(), workingDir, e);
        } finally {

*Script Plugins* are simple and easy to write.
They are written in Kotlin DSL or Groovy DSL.
They are suitable for small, one-off tasks or for quick experimentation.
However, they can become hard to maintain as the build script grows in size and complexity.

*Precompiled Script Plugins* are Kotlin or Groovy DSL scripts compiled into Java class files packaged in a library.

docs/debugging/hash-set/hash-set
docs/debugging/healing-bin/healing-bin
docs/debugging/inspect/inspect
docs/debugging/pprofgoparser/pprofgoparser
docs/debugging/reorder-disks/reorder-disks
docs/debugging/populate-hard-links/populate-hardlinks
docs/debugging/xattr/xattr
hash-set
healing-bin
inspect
pprofgoparser
reorder-disks
s3-check-md5
s3-verify
xattr

cp subprojects/performance/build/test-results/performanceTest/TEST-org.gradle.performance.$TESTNAME.xml ~/.gradle-bisect-results/result_${result}_${hash}_${datets}.xml
git reset --hard

	"hash"
	"io"
)

// Implementation to calculate bitrot for the whole file.
type wholeBitrotWriter struct {
	disk      StorageAPI
	volume    string
	filePath  string
	shardSize int64 // This is the shard size of the erasure logic
	hash.Hash       // For bitrot hash
}

func (b *wholeBitrotWriter) Write(p []byte) (int, error) {
	err := b.disk.AppendFile(context.TODO(), b.volume, b.filePath, p)
	if err != nil {

1. The builtin values.yaml defaults
2. The profile the user selects
3. Users input (-f or --set)

Unfortunately, Helm provides us (1) and (3) together (as .Values), making it hard to insert (2).

However, we can workaround this by placing all of (1) under a specific key (.Values.defaults).
We can then merge the profile onto the defaults, then the user settings onto that.

1. The builtin values.yaml defaults
2. The profile the user selects
3. Users input (-f or --set)

Unfortunately, Helm provides us (1) and (3) together (as .Values), making it hard to insert (2).

However, we can workaround this by placing all of (1) under a specific key (.Values.defaults).
We can then merge the profile onto the defaults, then the user settings onto that.

1. The builtin values.yaml defaults
2. The profile the user selects
3. Users input (-f or --set)

Unfortunately, Helm provides us (1) and (3) together (as .Values), making it hard to insert (2).

However, we can workaround this by placing all of (1) under a specific key (.Values.defaults).
We can then merge the profile onto the defaults, then the user settings onto that.