if m.respErr.Load() == nil {
			xioutil.SafeClose(respHandler)
		}
	}()
	var pingTimer <-chan time.Time
	if m.deadline == 0 || m.deadline > m.clientPingInterval {
		ticker := time.NewTicker(m.clientPingInterval)
		defer ticker.Stop()
		pingTimer = ticker.C
		atomic.StoreInt64(&m.LastPong, time.Now().UnixNano())
	}
	defer m.parent.deleteMux(false, m.MuxID)
	for {
		select {
		case <-m.ctx.Done():
			if debugPrint {

      - master

permissions:
  contents: read
    
jobs:
  build:
    name: runner / shfmt
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: luizm/action-sh-checker@master
        env:
          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
          SHFMT_OPTS: "-s"
        with:

TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX=linux_cpu
TFCI_BUILD_PIP_PACKAGE_WHEEL_NAME_ARG="--repo_env=WHEEL_NAME=tensorflow_cpu"
TFCI_DOCKER_ENABLE=1
TFCI_DOCKER_IMAGE=us-docker.pkg.dev/ml-oss-artifacts-published/ml-public-container/ml-build:latest
TFCI_DOCKER_PULL_ENABLE=1
TFCI_DOCKER_REBUILD_ARGS="--target=devel ci/official/containers/ml_build"
TFCI_INDEX_HTML_ENABLE=1

/// tip

これらの**コンテナ**やDockerそしてKubernetesに関する項目が、まだあまり意味をなしていなくても心配しないでください。
<!-- NOTE: the current version of docker.md is outdated compared to English one. -->

コンテナ・イメージ、Docker、Kubernetesなどについては、次の章で詳しく説明します: [コンテナ内のFastAPI - Docker](docker.md){.internal-link target=_blank}.

///

## 開始前の事前のステップ

	lm.mu.Lock()
	defer lm.mu.Unlock()

	lm.ref = 0
	lm.isWriteLock = false
}

// DRLocker returns a sync.Locker interface that implements
// the Lock and Unlock methods by calling drw.RLock and drw.RUnlock.
func (lm *LRWMutex) DRLocker() sync.Locker {
	return (*drlocker)(lm)
}

type drlocker LRWMutex

func (dr *drlocker) Lock()   { (*LRWMutex)(dr).RLock() }

      this.maxWeight = maxWeight;
      this.weigher = weigher;
      this.concurrencyLevel = concurrencyLevel;
      this.removalListener = removalListener;
      this.ticker = (ticker == Ticker.systemTicker() || ticker == NULL_TICKER) ? null : ticker;
      this.loader = loader;
    }

    CacheBuilder<K, V> recreateCacheBuilder() {
      CacheBuilder<K, V> builder =
          CacheBuilder.newBuilder()

WIP ML Build Docker container for ML repositories (Tensorflow, JAX and XLA).

This container branches off from
/tensorflow/tools/tf_sig_build_dockerfiles/. However, since
hermetic CUDA and hermetic Python is now available for Tensorflow, a lot of the
requirements installed on the original container can be removed to reduce the
footprint of the container and make it more reusable across different ML

etcd is a distributed key value store that provides a reliable way to store data across a cluster of machines.

## Get started

### 1. Prerequisites

- Docker 18.03 or above, refer here for [installation](https://docs.docker.com/install/).

### 2. Start etcd

etcd uses [gcr.io/etcd-development/etcd](https://console.cloud.google.com/gcr/images/etcd-development/GLOBAL/etcd) as a primary container registry.

```

							endpoints[i].Hostname()), endpoints[i].Hostname(), logger.ErrorKind)
					}

					continue
				}

				// return err if not Docker or Kubernetes
				// We use IsDocker() to check for Docker environment
				// We use IsKubernetes() to check for Kubernetes environment
				isLocal, err := isLocalHost(endpoints[i].Hostname(),
					endpoints[i].Port(),
					globalMinioPort,
				)

   * @throws IllegalStateException if a ticker was already set
   */
  @CanIgnoreReturnValue
  public CacheBuilder<K, V> ticker(Ticker ticker) {
    checkState(this.ticker == null);
    this.ticker = checkNotNull(ticker);
    return this;
  }

  Ticker getTicker(boolean recordsTime) {
    if (ticker != null) {
      return ticker;
    }
    return recordsTime ? Ticker.systemTicker() : NULL_TICKER;
  }