code: def testMbyNSparsityMaskPrepare(self, mask_shape, weights_shape):
      mask = tf.ones(shape=mask_shape, name="mask")
      shape = tf.TensorShape(weights_shape)
      pruning_utils.m_by_n_sparsity_mask_prepare(mask, shape)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import tensorflow
  from tensorflow_model_optimization.python.core.keras import compat
  from tensorflow_model_optimization.python.core.sparsity.keras import pruning_utils
label_desc: Use image node_id 1 for calling the MbyNSparsityMaskPrepareTest obj's underlying member method code with example usage: obj.testMbyNSparsityMaskPrepare(mask_shape, weights_shape) without return types