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

numpy.ma.indices(dimensions, dtype=)

matrix.std(axis=None, dtype=None, out=None, ddof=0)

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)

ndarray.__setslice__ x.__setslice__(i, j, y) <==> x[i:j]=y Use of negative indices is not supported

record.reshape() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and

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

numpy.testing.decorators.slow(t)