numpy.ma.ravel(self, order='C') = Returns a 1D version of self, as a view.

MaskedArray.shrink_mask()

numpy.random.shuffle(x) Modify a sequence in-place by shuffling its contents.

numpy.expm1(x[, out]) = Calculate exp(x) - 1 for all elements in the array.

class numpy.lib.NumpyVersion(vstring)

numpy.sinh(x[, out]) = Hyperbolic sine, element-wise. Equivalent to 1/2 * (np.exp(x) - np.exp(-x)) or -1j

numpy.random.get_state() Return a tuple representing the internal state of the generator. For more details, see

chararray.dtype Data-type of the array?s elements.

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

numpy.diff(a, n=1, axis=-1)