numpy.ma.dump(a, F)

numpy.ma.size(obj, axis=None)

numpy.append(arr, values, axis=None)

numpy.ma.empty(shape, dtype=float, order='C') = Return a new array of given shape and type, without initializing entries.

RandomState.hypergeometric(ngood, nbad, nsample, size=None) Draw samples from a Hypergeometric distribution

HermiteE.roots()

Laguerre.roots()

numpy.argmin(a, axis=None, out=None)

numpy.greater_equal(x1, x2[, out]) = Return the truth value of (x1 >= x2) element-wise.

RandomState.standard_cauchy(size=None) Draw samples from a standard Cauchy distribution with mode =