code: def test_seed_implies_deterministic_results(self):
      dim = 20
      num_results = 100
      seed = 1925
      sample1, _ = random.halton.sample(
          dim, num_results=num_results, seed=seed
      )
      sample2, _ = random.halton.sample(
          dim, num_results=num_results, seed=seed
      )
      [sample1_, sample2_] = self.evaluate([sample1, sample2])
      self.assertAllClose(sample1_, sample2_, atol=0.0, 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 9 for calling the HaltonSequenceTest obj's underlying member method code with example usage: obj.test_seed_implies_deterministic_results() without return types