code: def test_dim_too_big(self):
      with self.assertRaises(tf.errors.InvalidArgumentError):
          sample, _ = random.halton.sample(
              1001,
              num_results=10,
              dtype=tf.float32,
              randomized=False,
              validate_args=True,
          )
          self.evaluate(sample)
  
imports: import numpy
  from six.moves import range
  import tensorflow.compat.v2
  import tensorflow_probability
  from tensorflow.python.framework import test_util
  from tf_quant_finance.math import random
label_desc: Use image node_id 14 for calling the HaltonSequenceTest obj's underlying member method code with example usage: obj.test_dim_too_big() without return types