// per device in `underlying_devices`. Implicit copies off of the device throw
// an error.
//
// All component tensors must have the same dtype. Currently they must also have
// the same shape, although this requirement may be relaxed in the future.
//
// `device_name` must not name an existing physical or custom device (see
// the documentation for TFE_RegisterCustomDevice for more information).
//

    python3 -m pip install "$TF_WHEEL"
}

@test "TensorFlow is importable" {
    source /tf/venv/bin/activate
    python3 -c 'import tensorflow as tf; t1=tf.constant([1,2,3,4]); t2=tf.constant([5,6,7,8]); print(tf.add(t1,t2).shape)'
}

# Is this still useful?
@test "TensorFlow has Keras" {
    source /tf/venv/bin/activate
    python3 -c 'import sys; import tensorflow as tf; sys.exit(0 if "keras" in tf.keras.__name__ else 1)'

MinIO is built ground up on the cloud-native premise. With features like erasure-coding, distributed and shared setup, it focuses only on storage and does it very well. While, it can be scaled by just replicating MinIO instances per tenant via an orchestration platform.

* Some container runtimes share a process (PID) namespace for all containers in a pod. This will become the default for Docker in a future release of Kubernetes. You can preview this functionality if running with the CRI and Docker 1.13.1 by enabling the --experimental-docker-enable-shared-pid kubelet flag. ([#41583](https://github.com/kubernetes/kubernetes/pull/41583), [@verb](https://github.com/verb))

 */
package jcifs;


import java.net.URLStreamHandler;


/**
 * Encapsulation of client context
 * 
 * 
 * A context holds the client configuration, shared services as well as the active credentials.
 * 
 * Usually you will want to create one context per client configuration and then
 * multiple sub-contexts using different credentials (if necessary).
 * 

	"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 {

All source code in Gradle is written to target one or more of these runtimes.
Most source code targets the daemon and the remaining code either targets a single runtime, for example the Gradle client, or is shared across multiple runtimes.

## Composition by architecture modules

Each [architecture module and platform](platforms.md) can contribute code to any of the runtimes.
Not every module contributes to every runtime.

 *
 * <p>An instance may be called concurrently by multiple threads to process different entries.
 * Implementations of this interface should avoid performing blocking calls or synchronizing on
 * shared resources.
 *
 * @param <K> the most general type of keys this listener can listen for; for example {@code Object}
 *     if any key is acceptable

            ArtifactMetadataSource source,
            List<ResolutionListener> listeners)
            throws ArtifactResolutionException, ArtifactNotFoundException;

    // USED BY REMOTE RESOURCES PLUGIN, DEPENDENCY PLUGIN, SHADE PLUGIN
    @Deprecated
    void resolve(Artifact artifact, List<ArtifactRepository> remoteRepositories, ArtifactRepository localRepository)
            throws ArtifactResolutionException, ArtifactNotFoundException;

                CollectionSize.ANY)
            .createTestSuite());
    suite.addTestSuite(HashMultimapTest.class);
    return suite;
  }

  /*
   * The behavior of toString() is tested by TreeMultimap, which shares a
   * lot of code with HashMultimap and has deterministic iteration order.
   */
  public void testCreate() {
    HashMultimap<String, Integer> multimap = HashMultimap.create();
    multimap.put("foo", 1);