//
            // We need an executor that will not block.
            // We can't use work stealing, as we are building a graph
            // and this could lead to cycles where a thread waits for
            // a task to finish, then execute another one which waits
            // for the initial task...
            // In order to work around that problem, we override the

	c = append(c, p.gccMachine()...)
	if goos == "aix" {
		c = append(c, "-maix64")
		c = append(c, "-mcmodel=large")
	}
	// disable LTO so we get an object whose symbols we can read
	c = append(c, "-fno-lto")
	c = append(c, "-") //read input from standard input
	return c
}

// gccDebug runs gcc -gdwarf-2 over the C program stdin and
// returns the corresponding DWARF data and, if present, debug data block.

   *
   * if (guardExpression) {
   *    throw new BadException(badMsg(...));
   * }
   *
   * The alternative natural refactorings into void or Exception-returning methods are much slower.
   * This is a big deal - we're talking factors of 2-8 in microbenchmarks, not just 10-20%. (This is
   * a hotspot optimizer bug, which should be fixed, but that's a separate, big project).
   *

| :----------------------          | ------------------------------------------ | -------------------------------------  |
| `s3:ObjectCreated:Put`           | `s3:ObjectCreated:CompleteMultipartUpload` | `s3:ObjectAccessed:Head`               |
| `s3:ObjectCreated:Post`          | `s3:ObjectRemoved:Delete`                  | `s3:ObjectRemoved:DeleteMarkerCreated` |

   *
   * <p><b>Note:</b> The current implementation eagerly allocates storage for {@code size} elements.
   * As a consequence, passing values like {@code Integer.MAX_VALUE} can lead to {@link
   * OutOfMemoryError}.
   *
   * @param iterator the iterator to return a partitioned view of
   * @param size the desired size of each partition (the last may be smaller)

   *
   * if (guardExpression) {
   *    throw new BadException(badMsg(...));
   * }
   *
   * The alternative natural refactorings into void or Exception-returning methods are much slower.
   * This is a big deal - we're talking factors of 2-8 in microbenchmarks, not just 10-20%. (This is
   * a hotspot optimizer bug, which should be fixed, but that's a separate, big project).
   *

	}

	meshConfigMap, err := kubeClient.Kube().CoreV1().ConfigMaps(istioNamespace).Get(context.TODO(), meshConfigMapName, metav1.GetOptions{})
	if err != nil {
		return nil, fmt.Errorf("could not read configmap %q from namespace %q: %v", meshConfigMapName, istioNamespace, err)
	}

	configYaml, ok := meshConfigMap.Data[istioctlutil.ConfigMapKey]
	if !ok {

	} else {
		c.iamUsersMap[key] = u
	}
	c.updatedAt = time.Now()
	return nil
}

// IAMStorageAPI defines an interface for the IAM persistence layer
type IAMStorageAPI interface {
	// The role of the read-write lock is to prevent go routines from
	// concurrently reading and writing the IAM storage. The (r)lock()
	// functions return the iamCache. The cache can be safely written to
	// only when returned by `lock()`.

      HashMap<Object, Object> map1,
      HashMap<Object, Object> map2)
      throws Exception {
    // Only start measuring table size after the first element inserted, to
    // deal with empty-map optimization.
    map1.put(0, null);

    int initialBuckets = bucketsOf(map1);

    for (int i = 1; i < size; i++) {
      map1.put(i, null);
    }

      HashMap<Object, Object> map1,
      HashMap<Object, Object> map2)
      throws Exception {
    // Only start measuring table size after the first element inserted, to
    // deal with empty-map optimization.
    map1.put(0, null);

    int initialBuckets = bucketsOf(map1);

    for (int i = 1; i < size; i++) {
      map1.put(i, null);
    }