- Added kubectl support for:
  - kubectl create secret docker-registry <NAME> --from-file=<path/to/.docker/config.json>
  - kubectl create secret docker-registry <NAME> --from-file=.dockerconfigjson=<path/to/.docker/config.json> ([#119589](https://github.com/kubernetes/kubernetes/pull/119589), [@carlory](https://github.com/carlory))

            EVERYONE = new SID("S-1-1-0");
            CREATOR_OWNER = new SID("S-1-3-0");
            SYSTEM = new SID("S-1-5-18");
        }
        catch ( SmbException se ) {
            log.error("Failed to create builtin SIDs", se);
        }
    }


    /**
     * Convert a sid_t to byte array
     * 
     * @param sid
     * @return byte encoded form
     */

export TFCI=py311,linux_x86,public_cache,disk_cache

# Recommended: Configure Docker. (Linux only)
#
#   TF uses hub.docker.com/r/tensorflow/build containers for CI,
#   and scripts on Linux create a persistent container called "tf"
#   which mounts your TensorFlow directory into the container.
#
#   Important: because the container is persistent, you cannot change TFCI

 * <p>Implementations that choose to support the {@link #add(Range)} operation are required to
 * ignore empty ranges and coalesce connected ranges. For example:
 *
 * <pre>{@code
 * RangeSet<Integer> rangeSet = TreeRangeSet.create();
 * rangeSet.add(Range.closed(1, 10)); // {[1, 10]}
 * rangeSet.add(Range.closedOpen(11, 15)); // disconnected range; {[1, 10], [11, 15)}
 * rangeSet.add(Range.closedOpen(15, 20)); // connected range; {[1, 10], [11, 20)}

    return ticker.read();
  }

  private void alertListenerIfPresent(K key, V value, RemovalCause cause) {
    if (removalListener != null) {
      removalListener.onRemoval(RemovalNotification.create(key, value, cause));
    }
  }

  @SuppressWarnings("GoodTime") // timestamps as numeric primitives
  private V load(K key) throws ExecutionException {
    long startTime = ticker.read();
    V calculatedValue;

  return th;
}

TFE_TensorHandle* TestVariable(TFE_Context* ctx, float value,
                               const tensorflow::string& device_name) {
  TF_Status* status = TF_NewStatus();
  // Create the variable handle.
  TFE_Op* op = TFE_NewOp(ctx, "VarHandleOp", status);
  if (TF_GetCode(status) != TF_OK) return nullptr;
  TFE_OpSetAttrType(op, "dtype", TF_FLOAT);
  TFE_OpSetAttrShape(op, "shape", {}, 0, status);

      "coverage" : {
        "per_commit" : [ "linux" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.regression.corefeature.DeprecationCreationPerformanceTest.create many deprecation warnings",
    "groups" : [ {
      "testProject" : "generateLotsOfDeprecationWarnings",
      "coverage" : {
        "per_day" : [ "linux" ]
      }
    } ]
  }, {

  - Click on `account`
  - Settings, set `Valid Redirect URIs` to `*`, expand `Advanced Settings` and set `Access Token Lifespan` to `1 Hours`
  - Save

- Go to Clients
  - Click on `account`
  - Mappers
  - Create
    - `Name` with any text
    - `Mapper Type` is `User Attribute`
    - `User Attribute` is `policy`
    - `Token Claim Name` is `policy`
    - `Claim JSON Type` is `string`
  - Save

    suite.addTest(testsForSetUpTearDown());
    return suite;
  }

  private abstract static class WrappedHashMapGenerator extends TestStringMapGenerator {
    @Override
    protected final Map<String, String> create(Entry<String, String>[] entries) {
      HashMap<String, String> map = Maps.newHashMap();
      for (Entry<String, String> entry : entries) {
        map.put(entry.getKey(), entry.getValue());
      }
      return wrap(map);

        final Tuple3<String, String, String> task = new Tuple3<>(getName(), thumbnailId, path);
        if (logger.isDebugEnabled()) {
            logger.debug("Create thumbnail task: {}", task);
        }
        return task;
    }

    public void setDirectoryNameLength(final int directoryNameLength) {
        this.directoryNameLength = directoryNameLength;
    }