import java.lang.reflect.Method;
import java.util.List;
import java.util.concurrent.CopyOnWriteArrayList;
import org.junit.Ignore;

/**
 * A generic JUnit test which tests {@code subList()} operations on a list. Can't be invoked
 * directly; please see {@link com.google.common.collect.testing.ListTestSuiteBuilder}.
 *
 * @author Chris Povirk
 */
@GwtCompatible(emulated = true)

		if retries > 10 {
			err := o.checkMetacacheState(ctx, rpc)
			if err != nil {
				return entries, fmt.Errorf("remote listing canceled: %w", err)
			}
			retries = 1
		}

		// All operations are performed without locks, so we must be careful and allow for failures.
		// Read metadata associated with the object from a disk.
		if retries > 0 {
			for _, disk := range er.getDisks() {
				if disk == nil {

import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.NonNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * A comparator, with additional methods to support common operations. This is an "enriched" version
 * of {@code Comparator} for pre-Java-8 users, in the same sense that {@link FluentIterable} is an
 * enriched {@link Iterable} for pre-Java-8 users.
 *
 * <h3>Three types of methods</h3>
 *

	// All object storage operations are registered as HTTP handlers on `objectAPIHandlers`.
	// When the handlers get a HTTP request they use the underlying ObjectLayer to perform operations.
	globalObjLayerMutex.Lock()
	globalObjectAPI = objLayer
	globalObjLayerMutex.Unlock()

	// When cache is enabled, Put and Get operations are passed

   * the request has become less ready for future requests", i.e. its caches become stale, and
   * requests become more likely to trigger expensive operations (a more extreme case of this
   * example is when a server has just booted, and it is mostly busy with getting itself up to
   * speed).
   *

  TF_DeleteAbstractTensor(arg0);
  TF_DeleteAbstractTensor(arg1);

  // Finalize the function by providing the returned values.
  TF_AbstractFunction* func;
  {
    // We want to return the output of both add operations, create a new list
    // and populate it.
    TF_OutputList* func_outputs = TF_NewOutputList();
    TF_OutputListPushBack(func_outputs, add_output1, s);
    ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  //
  // For the time being we are OK with the problem discussed above since it requires a caller to
  // introduce a very specific kind of data-race. And given the other operations performed by these
  // methods that involve volatile read/write operations, in practice there is no issue. Also, the
  // way in such a visibility issue would surface is most likely as a failure of cancel() to

}

func testListObjectsVersionedFolders(obj ObjectLayer, instanceType string, t1 TestErrHandler) {
	t, _ := t1.(*testing.T)
	testBuckets := []string{
		// This bucket is used for testing ListObject operations.
		"test-bucket-folders",
		// This bucket has file delete marker.
		"test-bucket-files",
	}
	for _, bucket := range testBuckets {
		err := obj.MakeBucket(context.Background(), bucket, MakeBucketOptions{

La façon dont vous l'utilisez est très simple. Par exemple, pour faire une requête `GET`, vous devez écrire :

```Python
response = requests.get("http://example.com/some/url")
```

En contrepartie l'API _des opérations de chemin_ de FastAPI pourrait ressembler à ceci :

```Python hl_lines="1"
@app.get("/some/url")
def read_url():
    return {"message": "Hello World"}
```

import java.util.concurrent.locks.Condition;
import java.util.concurrent.locks.Lock;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Utilities for treating interruptible operations as uninterruptible. In all cases, if a thread is
 * interrupted during such a call, the call continues to block until the result is available or the
 * timeout elapses, and only then re-interrupts the thread.
 *