import jcifs.Configuration;
import jcifs.DialectVersion;
import jcifs.ResolverType;
import jcifs.SmbConstants;

/**
 * Base implementation of CIFS configuration providing default settings and behavior.
 * Serves as the foundation for configuration implementations in the jCIFS library.
 *
 * @author mbechler
 */
public class BaseConfiguration implements Configuration {

   * as a false predicate is found.
   *
   * <p><b>Discouraged:</b> Prefer using {@code first.and(second)}.
   */
  public static <T extends @Nullable Object> Predicate<T> and(
      Predicate<? super T> first, Predicate<? super T> second) {
    return new AndPredicate<>(Predicates.<T>asList(checkNotNull(first), checkNotNull(second)));
  }

  /**

    // Now give the get() thread time to finish:
    assertTrue(earlyListener.wasRun.await(1, SECONDS));

    // Now test an additional addListener call, which will be run in-thread:
    RecordingRunnable lateListener = new RecordingRunnable();
    listenable.addListener(lateListener, directExecutor());
    assertTrue(lateListener.wasRun.await(1, SECONDS));
  }

  public void testAdapters_nullChecks() throws Exception {

Et chaque fois que vous renverrez ces données, même si la source contenait des doublons, elles seront renvoyées sous la forme d'un set d'éléments uniques.

Elles seront également annotées / documentées en conséquence.

## Modèles imbriqués { #nested-models }

Chaque attribut d'un modèle Pydantic a un type.

        TestScriptEngine engine1 = new TestScriptEngine("first");
        TestScriptEngine engine2 = new TestScriptEngine("second");

        scriptEngineFactory.add("test", engine1);
        scriptEngineFactory.add("test", engine2);

        // Should get the second engine
        ScriptEngine retrieved = scriptEngineFactory.getScriptEngine("test");
        assertEquals(engine2, retrieved);
    }

```Python
old_dict = {
    "old key": "old value",
    "second old key": "second old value",
}
new_dict = {**old_dict, "new key": "new value"}
```

此處，`new_dict` 會包含 `old_dict` 的所有鍵值配對，再加上新的鍵值配對：

```Python
{
    "old key": "old value",
    "second old key": "second old value",
    "new key": "new value",
}
```

你可以用這個技巧在「路徑操作」中重用一些預先定義的回應，並與其他自訂回應結合。

package com.google.common.util.concurrent;

import static com.google.common.util.concurrent.MoreExecutors.directExecutor;
import static java.util.concurrent.Executors.newCachedThreadPool;
import static java.util.concurrent.TimeUnit.SECONDS;

import com.google.common.annotations.GwtIncompatible;
import com.google.common.annotations.J2ktIncompatible;
import com.google.common.testing.NullPointerTester;
import java.util.concurrent.CountDownLatch;

	if m.expMovingAvg == 0 {
		// Should address initial calculation and should be fine for resuming from 0
		m.expMovingAvg = float64(bytesSinceLastWindow) / duration.Seconds()
		return
	}

	increment := float64(bytesSinceLastWindow) / duration.Seconds()
	m.expMovingAvg = exponentialMovingAverage(betaBucket, m.expMovingAvg, increment)
}

// exponentialMovingAverage calculates the exponential moving average

        byte[] first = impl.getBuffer(); // should return slot 0 -> a
        byte[] second = impl.getBuffer(); // then slot 1 -> c
        byte[] third = impl.getBuffer(); // cache empty -> new with size 3

        assertSame(a, first, "First get should return first cached buffer");
        assertSame(c, second, "Second get should return second cached buffer");

	driveCountMD = NewGaugeMD(driveCount,
		"Count of all drives")

	// iostat related
	driveReadsPerSecMD = NewGaugeMD(driveReadsPerSec,
		"Reads per second on a drive",
		allDriveLabels...)
	driveReadsKBPerSecMD = NewGaugeMD(driveReadsKBPerSec,
		"Kilobytes read per second on a drive",
		allDriveLabels...)
	driveReadsAwaitMD = NewGaugeMD(driveReadsAwait,
		"Average time for read requests served on a drive",
		allDriveLabels...)