code: def get_gzipped_size(model_path):
      """Measures the compressed size of a model."""
      with tempfile.TemporaryFile(suffix=".zip") as zipped_file:
          with zipfile.ZipFile(
              zipped_file, "w", compression=zipfile.ZIP_DEFLATED
          ) as f:
              f.write(model_path)
  
          zipped_file.seek(0, 2)
          return os.fstat(zipped_file.fileno()).st_size
  
file_path: model-optimization/tensorflow_model_optimization/python/core/sparsity/keras/tools/evaluate_pruning.py
imports: from __future__ import print_function
  import os
  import tempfile
  import textwrap
  import zipfile
  from absl import app
  from absl import flags
  import tensorflow
  from tensorflow_model_optimization.python.core.sparsity.keras import prune
  from tensorflow_model_optimization.python.core.sparsity.keras.tools import sparsity_tooling
label_desc: Use image node_id 4 for calling a global function with example usage: get_gzipped_size(model_path) and returns: os