// save the content of the cache to minioMetaBackgroundOpsBucket with the provided name.
// Note that no locking is done when saving.
func (d *dataUsageCache) save(ctx context.Context, store objectIO, name string) error {
	select {
	case <-ctx.Done():
		return ctx.Err()
	case maxConcurrentScannerSaves <- struct{}{}:
	}

	buf := bytebufferpool.Get()
	defer func() {
		<-maxConcurrentScannerSaves
		buf.Reset()

		t.Errorf("got: %q; want: %q", result, "hello")
	}
}

func timeout(after time.Duration) (cancel func()) {
	c := time.After(after)
	cc := make(chan struct{})
	go func() {
		select {
		case <-cc:
			return
		case <-c:
			buf := make([]byte, 1<<20)
			stacklen := runtime.Stack(buf, true)

   * @deprecated For Android users, see the <a
   *     href="https://developer.android.com/training/data-storage" target="_blank">Data and File
   *     Storage overview</a> to select an appropriate temporary directory (perhaps {@code
   *     context.getCacheDir()}), and create your own directory under that. (For example, you might

```
mc cp myphoto.jpg myminio/images
```

Open PostgreSQL terminal to list the rows in the `bucketevents` table.

```
$ psql -h 127.0.0.1 -U postgres -d minio_events
minio_events=# select * from bucketevents;

key                 |                      value

automatically provision a PersistentVolume to bind to an unfulfilled
PersistentVolumeClaim.
  * Run multiple schedulers in parallel, e.g. one or more custom schedulers
alongside the default Kubernetes scheduler, using pod annotations to select
among the schedulers for each pod. Documentation is [here](http://kubernetes.io/docs/admin/multiple-schedulers.md), design doc is [here](docs/proposals/multiple-schedulers.md).

    server.enqueue(
      MockResponse(code = 407),
    )
    client =
      client
        .newBuilder()
        .proxySelector(
          object : ProxySelector() {
            override fun select(uri: URI): List<Proxy> = listOf(server.proxyAddress)

            override fun connectFailed(
              uri: URI,
              socketAddress: SocketAddress,
              e: IOException,
            ) {

* kubectl port-forward now allows using resource name (e.g., deployment/www) to select a matching pod, as well as the use of --pod-running-timeout to wait until at least one pod is running. ([#59705](https://github.com/kubernetes/kubernetes/pull/59705), [@phsiao](https://github.com/phsiao))

# CUDA: This config refers to building CUDA op kernels with clang.
common:cuda_clang --config=cuda
common:cuda_clang --@local_config_cuda//:cuda_compiler=clang
common:cuda_clang --copt=-Qunused-arguments
# Select supported compute capabilities (supported graphics cards).
# This is the same as the official TensorFlow builds.
# See https://developer.nvidia.com/cuda-gpus#compute
# `compute_XY` enables PTX embedding in addition to SASS. PTX

        this.resolvedArtifacts = (artifacts != null) ? artifacts : Collections.emptySet();
        this.artifacts = null;
        this.artifactMap = null;
    }

    /**
     * Sets the scope filter to select the artifacts being exposed to the currently executed mojo.
     * <strong>Warning:</strong> This is an internal utility method that is only public for technical reasons, it is not

	for k, v := range reqParams {
		if header, ok := supportedHeadGetReqParams[strings.ToLower(k)]; ok {
			w.Header()[header] = []string{strings.Join(v, ",")}
		}
	}
}

// SelectObjectContentHandler - GET Object?select
// ----------
// This implementation of the GET operation retrieves object content based
// on an SQL expression. In the request, along with the sql expression, you must