code: def test_should_scale_up_over_min_workers(self):
      config = AutoscalingConfig(min_workers=1, max_workers=4)
      policy = AutoscalingPolicy(config)
      num_total_workers = 0
      num_running_workers = 0
      # Should scale up since under pool min workers.
      assert policy.should_scale_up(
          num_total_workers, num_running_workers
      )
  
imports: import collections
  import time
  import pytest
  import ray
  from ray.data._internal.compute import ActorPoolStrategy
  from ray.data._internal.execution.operators.actor_pool_map_operator import AutoscalingConfig, AutoscalingPolicy, _ActorPool
  from ray.data._internal.execution.util import make_ref_bundles
  from ray.tests.conftest import *
label_desc: Use image node_id 3 for calling the TestAutoscalingPolicy obj's underlying member method code with example usage: obj.test_should_scale_up_over_min_workers() without return types