RandomState.geometric(p, size=None) Draw samples from the geometric distribution. Bernoulli trials
numpy.core.defchararray.asarray(obj, itemsize=None, unicode=None, order=None)
numpy.ma.empty(shape, dtype=float, order='C') = Return a new array of given shape and type, without initializing entries.
Legendre.cutdeg(deg)
numpy.ma.arange([start, ]stop, [step, ]dtype=None) = Return evenly spaced values within a given interval. Values are generated
RandomState.gamma(shape, scale=1.0, size=None) Draw samples from a Gamma distribution. Samples are drawn
numpy.polynomial.hermite.hermval3d(x, y, z, c)
numpy.core.defchararray.translate(a, table, deletechars=None)
numpy.arccosh(x[, out]) = Inverse hyperbolic cosine, element-wise.
numpy.ma.mean(self, axis=None, dtype=None, out=None) = Returns the average of the array elements. Masked entries are ignored
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