code: def testRaisesIfScaleNotProvided(self):
      loc = self.rng.rand(2)
      with self.assertRaises(ValueError):
          mvn_linear_operator.MultivariateNormalLinearOperator(
              loc, scale=None, validate_args=True
          )
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.bijectors import transform_diagonal
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import mvn_linear_operator
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 6 for calling the MultivariateNormalLinearOperatorTest obj's underlying member method code with example usage: obj.testRaisesIfScaleNotProvided() without return types