code: def test_level_pruner(self):
      # prune 90% : 9.0 + 9.1 + ... + 9.9 = 94.5
      model = build_naive_model()
      pruners["level"](model).compress()
      x = model(tensor1x10)
      assert x.numpy() == 94.5
  
file_path: auptimizer/tests/compression/test_compressor_tf.py
imports: import unittest
  import sys
  import numpy
label_desc: Use image node_id 3 for calling the TfCompressorTestCase obj's underlying member method code with example usage: obj.test_level_pruner() without return types