be drawn
  * **scramble** (*bool**, **optional*) -- Setting this to "True"
    will produce scrambled Sobol sequences. Scrambling is capable
    of producing better Sobol sequences. Default: "False".

  * **seed** (*Int**, **optional*) -- This is the seed for the
    scrambling. The seed of the random number generator is set to
    this, if specified. Otherwise, it uses a random seed. Default:
    "None"

Examples:
  >>> soboleng = torch.quasirandom.SobolEngine(dimension=5)
  >>> soboleng.draw(3)
  tensor([[0.0000, 0.0000, 0.0000, 0.0000, 0.0000],
          [0.5000, 0.5000, 0.5000, 0.5000, 0.5000],
          [0.7500, 0.2500, 0.2500, 0.2500, 0.7500]])

draw(n=1, out=None, dtype=torch.float32)
  Function to draw a sequence of "n" points from a Sobol sequence.
  Note that the samples are dependent on the previous samples. The
  size of the result is (n, dimension).

  Parameters:
