r.Reset(strings.NewReader("bar bar"))
	checkAll(r, "bar bar")

	*r = Reader{} // zero out the Reader
	r.Reset(strings.NewReader("bar bar"))
	checkAll(r, "bar bar")

	// Wrap a reader and then Reset to that reader.
	r.Reset(strings.NewReader("recur"))
	r2 := NewReader(r)
	checkAll(r2, "recur")
	r.Reset(strings.NewReader("recur2"))
	r2.Reset(r)
	checkAll(r2, "recur2")
}

}

// ResizeLrgWorkers sets replication workers pool for large transfers(>=128MiB) to new size.
// checkOld can be set to an expected value.
// If the worker count changed
func (p *ReplicationPool) ResizeLrgWorkers(n, checkOld int) {
	p.mu.Lock()
	defer p.mu.Unlock()

	if (checkOld > 0 && len(p.lrgworkers) != checkOld) || n == len(p.lrgworkers) || n < 1 {

  {
    mutex_lock l(graph->mu);
    tensorflow::shape_inference::InferenceContext* ic =
        graph->refiner.GetContext(node);
    CHECK(ic != nullptr);                       // Crash OK
    CHECK_LT(output.index, ic->num_outputs());  // Crash OK
    const auto* shapes_and_types =
        ic->output_handle_shapes_and_types(output.index);
    if (shapes_and_types == nullptr) return nullptr;