numpy.require(a, dtype=None, requirements=None)

numpy.ma.indices(dimensions, dtype=)

numpy.fft.fft2(a, s=None, axes=(-2, -1), norm=None)

numpy.isfinite(x[, out]) = Test element-wise for finiteness (not infinity or not Not a Number). The result is returned as

numpy.asanyarray(a, dtype=None, order=None)

numpy.ipmt(rate, per, nper, pv, fv=0.0, when='end')

numpy.testing.decorators.slow(t)

numpy.iscomplexobj(x)

numpy.random.logseries(p, size=None) Draw samples from a logarithmic series distribution. Samples are drawn from

MaskedArray.harden_mask()