code: def test_diagnostics(self, solver):
      ode_fn = lambda time, state: -state
      initial_time = 0.0
      initial_state = np.float64(1.0)
      results = solver(validate_args=True).solve(
          ode_fn, initial_time, initial_state, solution_times=[1.0]
      )
      (
          num_ode_fn_evaluations,
          num_jacobian_evaluations,
          num_matrix_factorizations,
          status,
      ) = self.evaluate(
          [
              results.diagnostics.num_ode_fn_evaluations,
              results.diagnostics.num_jacobian_evaluations,
              results.diagnostics.num_matrix_factorizations,
              results.diagnostics.status,
          ]
      )
      self.assertEqual(status, 0)
      self.assertGreater(num_ode_fn_evaluations, 0)
      self.assertGreaterEqual(num_jacobian_evaluations, 0)
      self.assertGreaterEqual(num_matrix_factorizations, 0)
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.math.ode import base
  from tensorflow_probability.python.math.ode import bdf
  from tensorflow_probability.python.math.ode import dormand_prince
label_desc: Use image node_id 2 for calling the GeneralTest obj's underlying member method code with example usage: obj.test_diagnostics(solver) without return types