Exec Time:  /*pmb.webFsIndexExecTime:orElse('-')*/ ms
Num of Doc: /*pmb.webFsIndexSize:orElse('-')*/ docs

--- Data Store Crawler ---
Start Time: /*pmb.dataCrawlStartTime:orElse('-')*/
End Time:   /*pmb.dataCrawlEndTime:orElse('-')*/
Exec Time:  /*pmb.dataCrawlExecTime:orElse('-')*/ ms

--- Data Store Indexer ---
Exec Time:  /*pmb.dataIndexExecTime:orElse('-')*/ ms
Num of Doc: /*pmb.dataIndexSize:orElse('-')*/ docs

--- Total ---

  }
  std::vector<TFE_TensorHandle*> op_outputs(*num_outputs);
  TFE_Execute(op, op_outputs.data(), num_outputs, s);
  TFE_DeleteOp(op);
  if (TF_GetCode(s) != TF_OK) return;
  std::vector<TFE_TensorHandle*> unwrapped_outputs;
  unwrapped_outputs.reserve(op_outputs.size());
  for (auto* handle : op_outputs) {
    unwrapped_outputs.push_back(handle);
  }
  for (int i = 0; i < *num_outputs; ++i) {

		[string] wchar_t *server_name;
		[string] wchar_t *share_name;
	} DfsStorageInfo;

	typedef struct {
		[string] wchar_t *path;
		[string] wchar_t *comment;
		uint32_t state;
		uint32_t num_stores;
		[size_is(num_stores)] DfsStorageInfo *stores;
	} DfsInfo3;

	typedef struct {
		uint32_t count;
		[size_is(count)] DfsInfo3 *s;
	} DfsEnumArray3;

	typedef struct {
		[string] wchar_t *dfs_name;

		[string] wchar_t *server_name;
		[string] wchar_t *share_name;
	} DfsStorageInfo;

	typedef struct {
		[string] wchar_t *path;
		[string] wchar_t *comment;
		uint32_t state;
		uint32_t num_stores;
		[size_is(num_stores)] DfsStorageInfo *stores;
	} DfsInfo3;

	typedef struct {
		uint32_t count;
		[size_is(count)] DfsInfo3 *s;
	} DfsEnumArray3;

	typedef struct {
		[string] wchar_t *dfs_name;

    checkHashCode(Sets.cartesianProduct(set(1), set(2, num)));
    checkHashCode(Sets.cartesianProduct(set(1, num), set(2, num - 1)));
    checkHashCode(Sets.cartesianProduct(set(1, num), set(2, num - 1), set(3, num + 1)));

    // a bigger one
    checkHashCode(
        Sets.cartesianProduct(set(1, num, num + 1), set(2), set(3, num + 2), set(4, 5, 6, 7, 8)));
  }

  public void testPowerSetEmpty() {

    LsarSidArrayX ( jcifs.SID[] sids ) {
        this.num_sids = sids.length;
        this.sids = new lsarpc.LsarSidPtr[sids.length];
        for ( int si = 0; si < sids.length; si++ ) {
            this.sids[ si ] = new lsarpc.LsarSidPtr();
            this.sids[ si ].sid = sids[ si ].unwrap(sid_t.class);
        }
    }


    LsarSidArrayX ( SID[] sids ) {
        this.num_sids = sids.length;

                                           const int64_t* dims, int num_dims);
// `dims` and `num_dims` must point to arrays of length `num_shapes`.
// Set `num_dims[i]` to -1 to represent "unknown rank".  Otherwise,
// `dims[i]` points to an array of length `num_dims[i]`.  `dims[i][j]`
// must be >= -1, with -1 meaning "unknown dimension".
TF_CAPI_EXPORT extern void TF_SetAttrShapeList(TF_OperationDescription* desc,

    std::vector<TFE_TensorHandle*> result;
    result.push_back(nullptr);
    int num_retvals = 1;
    TFE_Execute(op, result.data(), &num_retvals, status);
    TFE_DeleteOp(op);
    ASSERT_TRUE(TF_GetCode(status) == TF_OK) << TF_Message(status);
    ASSERT_EQ(num_retvals, 1);

    TF_Tensor* r = TFE_TensorHandleResolve(result[0], status);

        new ThreadPoolExecutor(
            NUM_THREADS,
            NUM_THREADS,
            Long.MAX_VALUE,
            TimeUnit.SECONDS,
            new ArrayBlockingQueue<Runnable>(1000));
    executorService.prestartAllCoreThreads();
    final AtomicInteger integer = new AtomicInteger();
    // Execute a bunch of tasks to ensure that our threads are allocated and hot
    for (int i = 0; i < NUM_THREADS * 10; i++) {

  // TensorFlow, so we need to use `plugin_memory_free_` here.
  char** children = nullptr;
  const int num_children =
      ops_->get_children(filesystem_.get(), translated_name.c_str(), &children,
                         plugin_status.get());
  if (num_children >= 0) {
    for (int i = 0; i < num_children; i++) {
      result->push_back(std::string(children[i]));
      plugin_memory_free_(children[i]);
    }