docstr: Optimizing an ill conditioned problem should not raise an exception.
docstr_tok: ["Optimizing","an","ill","conditioned","problem","should","not","raise","an","exception","."]
code: def test_minimize_ill_conditioned_not_raised(self):
      """Optimizing an ill conditioned problem should not raise an exception."""
      if not tf.executing_eagerly():
          return
  
      def f1(x, y):
          return x * y * 10000.0
  
      def f2(x, y):
          return x * y * 0.0001
  
      x = (1.0,)
      y = (1.0,)
      try:
          self.evaluate(
              levenberg_marquardt.minimize(
                  residuals=(f1, f2),
                  variables=(x, y),
                  max_iterations=1,
                  regularizer=1e-20,
              )
          )
      except Exception as e:  # pylint: disable=broad-except
          self.fail("Exception raised: %s" % str(e))
  
file_path: graphics/tensorflow_graphics/math/optimizer/tests/levenberg_marquardt_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  from six.moves import zip
  import tensorflow
  from tensorflow_graphics.math.optimizer import levenberg_marquardt
  from tensorflow_graphics.util import test_case
label_desc: Use image node_id 5 for calling the OptimizerTest obj's underlying member method code with example usage: obj.test_minimize_ill_conditioned_not_raised() and returns: unknown, unknown