docstr: Tests whether exception is raised when weights are unnormalizable.
docstr_tok: ["Tests","whether","exception","is","raised","when","weights","are","unnormalizable","."]
code: def test_interp_unnormalizable_raised_(
      self, points, weights, indices, _
  ):
      """Tests whether exception is raised when weights are unnormalizable."""
      with self.assertRaises(tf.errors.InvalidArgumentError):
          result = weighted.interpolate(
              points=points,
              weights=weights,
              indices=indices,
              normalize=True,
              allow_negative_weights=True,
          )
          self.evaluate(result)
  
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 range
  import tensorflow
  from tensorflow_graphics.math.interpolation import weighted
  from tensorflow_graphics.util import test_case
label_desc: Use image node_id 6 for calling the WeightedTest obj's underlying member method code with example usage: obj.test_interp_unnormalizable_raised_(points, weights, indices, _) without return types