code: def test_randomization_does_not_depend_on_sequence_indices(self):
      dim = 2
      seed = 9427
      sample1, _ = random.halton.sample(
          dim, sequence_indices=[0], seed=seed
      )
      # For sample2, we generate an additional row at index=1000 then discard it.
      sample2, _ = random.halton.sample(
          dim, sequence_indices=[0, 1000], seed=seed
      )
      sample2 = sample2[:1, :]
      self.assertAllClose(
          self.evaluate(sample1), self.evaluate(sample2), rtol=1e-6
      )
  
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 10 for calling the HaltonSequenceTest obj's underlying member method code with example usage: obj.test_randomization_does_not_depend_on_sequence_indices() without return types