/**
 * Options for use with recursive delete methods ({@link MoreFiles#deleteRecursively} and {@link
 * MoreFiles#deleteDirectoryContents}).
 *
 * @since NEXT (but since 21.0 in the JRE flavor)
 * @author Colin Decker
 */
@J2ktIncompatible
@GwtIncompatible
@J2ObjCIncompatible // java.nio.file
@ElementTypesAreNonnullByDefault
public enum RecursiveDeleteOption {
  /**

	return err.Error() == "sql: statement is closed"
}

// TestPreparedStmtConcurrentReset test calling reset and executing SQL concurrently
// this test making sure that the gorm would not get a Segmentation Fault, and the only error cause by this is using a closed Stmt
func TestPreparedStmtConcurrentReset(t *testing.T) {
	name := "prepared_stmt_concurrent_reset"
	user := *GetUser(name, Config{})

number erasure sets to provide for uniform distribution across nodes*. This is to ensure that same number of drives are pariticipating in any erasure set. For example if you have 2 nodes with 180 drives then GCD is 15 but this would lead to uneven distribution, one of the nodes would participate more drives. To avoid this the affinity is given towards nodes which leads to next best GCD factor of 12 which provides uniform distribution.

- In this algorithm, we also make sure that we spread the drives...

import java.io.IOException;
import java.io.StringReader;
import java.io.Writer;
import java.util.EnumSet;

/**
 * Tests for the default implementations of {@code CharSink} methods.
 *
 * @author Colin Decker
 */
public class CharSinkTest extends IoTestCase {

  private static final String STRING = ASCII + I18N;

  private TestCharSink sink;

  @Override
  public void setUp() {

	if opt.SecretName != "" {
		secret, err := client.Kube().CoreV1().Secrets(opt.Namespace).Get(ctx, opt.SecretName, metav1.GetOptions{})
		if err != nil {
			return nil, fmt.Errorf("could not get specified secret %s/%s: %v",
				opt.Namespace, opt.SecretName, err)
		}
		if err := secretReferencesServiceAccount(serviceAccount, secret); err != nil {
			return nil, err
		}
		return secret, nil
	}

        -  It could also be a simple python or TF utility that you could easily copy over to your own codebase. In those case, just make it your own!
        -  If you believe it should definitely be a public Keras API, please open a feature request in keras GitHub repo.

     * silently {@link #addNode(Object) add} {@code nodeU} and {@code nodeV} to the graph.
     *
     * @return this {@code Builder} object
     * @throws IllegalArgumentException if the introduction of the edge would violate {@link
     *     #allowsSelfLoops()}
     */
    @CanIgnoreReturnValue
    public ImmutableValueGraph.Builder<N, V> putEdgeValue(N nodeU, N nodeV, V value) {

   *
   * Since these fields are non-final that means that TimeoutFuture is not being 'safely published',
   * thus a motivated caller may be able to expose the reference to another thread that would then
   * call cancel() and be unable to cancel the delegate.
   * There are a number of ways to solve this, none of which are very pretty, and it is currently

	NewValuePool           FieldNewValuePool

	// In some db (e.g. MySQL), Unique and UniqueIndex are indistinguishable.
	// When a column has a (not Mul) UniqueIndex, Migrator always reports its gorm.ColumnType is Unique.
	// It causes field unnecessarily migration.
	// Therefore, we need to record the UniqueIndex on this column (exclude Mul UniqueIndex) for MigrateColumnUnique.
	UniqueIndex string
}

func (field *Field) BindName() string {

 
## Pruning the Cache

Pruning the entire Cache to clear space temporarily can be done using evictAll.

```kotlin
cache.evictAll()
```

Removing individual items can be done using the urls iterator.
This would be typical after a user initiates a force refresh by a pull to refresh type action.

```java
    val urlIterator = cache.urls()
    while (urlIterator.hasNext()) {