code: def random_floats_cmwc(num_elements, seed, dtype=tf.float32):
      """Returns a Tensor of `num_elements` random values in [0, 1) as `dtype`."""
      if dtype not in [tf.float32, tf.float64]:
          raise TypeError(
              "Unsupported type: %s. Supported types are tf.float32 and "
              "tf.float64 values" % dtype
          )
      return tf.cast(_cmwc_random_sequence(num_elements, seed), dtype)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import logging
  import math
  import numpy
  import tensorflow
label_desc: Use image node_id 6 for calling a global function with example usage: random_floats_cmwc(num_elements, seed, dtype) and returns: tf