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scipy.stats.qmc.QMCEngine.

# random

QMCEngine.random(n=1, *, workers=1)

  Draw n in the half-open interval `[0, 1)`.

  Parameters:
    nint, optional

      Number of samples to generate in the parameter space. Default is 1.

    workersint, optional

      Only supported with `Halton`. Number of workers to use for parallel processing. If -1 is given all CPU threads are used. Default is 1. It becomes faster than one worker for n greater than \(10^3\).

  Returns:
    samplearray_like (n, d)

      QMC sample.