code: def test_num_positive_frames(self, weights, expected_output):
      label = np.array(
          [
              [[1, 0, 0], [0, 0, 0]],
              [[0, 0, 0], [0, 1, 0]],
          ],
          dtype=np.int32,
      )
      actual = temporal_localization_base_model.num_positive_frames(
          label, weights
      )
      self.assertEqual(actual, expected_output)
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  from flax import jax_utils
  import jax
  import ml_collections
  import numpy
  from scenic.projects.unloc import temporal_localization_base_model
label_desc: Use image node_id 5 for calling the TemporalLocalizationBaseModelTest obj's underlying member method code with example usage: obj.test_num_positive_frames(weights, expected_output) without return types