docstr: Tests that all supported dtypes work without error.
docstr_tok: ["Tests","that","all","supported","dtypes","work","without","error","."]
code: def test_dtypes_works_correctly(self):
      """Tests that all supported dtypes work without error."""
      dim = 3
      sample_float32, _ = random.halton.sample(
          dim, num_results=10, dtype=tf.float32, seed=11
      )
      sample_float64, _ = random.halton.sample(
          dim, num_results=10, dtype=tf.float64, seed=21
      )
      self.assertEqual(self.evaluate(sample_float32).dtype, np.float32)
      self.assertEqual(self.evaluate(sample_float64).dtype, np.float64)
  
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 4 for calling the HaltonSequenceTest obj's underlying member method code with example usage: obj.test_dtypes_works_correctly() without return types