docstr: Transforms a list of 2-tuples to a tuple of 2 lists.
  
  `QuantizeConfig` methods return a list of 2-tuples in the form
  [(weight1, quantizer1), (weight2, quantizer2)]. This function converts
  it into a 2-tuple of lists. ([weight1, weight2]), (quantizer1, quantizer2).
  
  Args:
    list_of_tuples: List of 2-tuples.
  
  Returns:
    2-tuple of lists.
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code: def _convert_list(self, list_of_tuples):
      """Transforms a list of 2-tuples to a tuple of 2 lists.
  
      `QuantizeConfig` methods return a list of 2-tuples in the form
      [(weight1, quantizer1), (weight2, quantizer2)]. This function converts
      it into a 2-tuple of lists. ([weight1, weight2]), (quantizer1, quantizer2).
  
      Args:
        list_of_tuples: List of 2-tuples.
  
      Returns:
        2-tuple of lists.
      """
      list1 = []
      list2 = []
      for a, b in list_of_tuples:
          list1.append(a)
          list2.append(b)
  
      return list1, list2
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import unittest
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.quantization.keras import quantizers
  from tensorflow_model_optimization.python.core.quantization.keras import utils
  from tensorflow_model_optimization.python.core.quantization.keras.default_8bit import default_8bit_quantize_registry
label_desc: Use image node_id 1 for calling the _TestHelper obj's underlying member method code with example usage: obj._convert_list(list_of_tuples) and returns: list1,  list2