code: def testCalculusIntegrate(self):
      dataset_objects = algorithmic_math.math_dataset_init(
          8, digits=5, functions={"log": "L"}
      )
      counter = 0
      for d in algorithmic_math.calculus_integrate(8, 0, 3, 10):
          counter += 1
          decoded_input = dataset_objects.int_decoder(d["inputs"])
          var, expression = decoded_input.split(":")
          target = dataset_objects.int_decoder(d["targets"])
  
          for fn_name, fn_char in six.iteritems(
              dataset_objects.functions
          ):
              target = target.replace(fn_char, fn_name)
  
          # Take the derivative of the target.
          derivative = str(sympy.diff(target, var))
  
          # Check that the derivative of the integral equals the input.
          self.assertEqual(
              0, sympy.simplify("%s-(%s)" % (expression, derivative))
          )
      self.assertEqual(counter, 10)
  
file_path: tensor2tensor/tensor2tensor/data_generators/algorithmic_math_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import six
  import sympy
  from tensor2tensor.data_generators import algorithmic_math
  import tensorflow.compat.v1
label_desc: Use image node_id 3 for calling the AlgorithmicMathTest obj's underlying member method code with example usage: obj.testCalculusIntegrate() without return types