numpy.diag_indices(n, ndim=2)

numpy.testing.assert_equal(actual, desired, err_msg='', verbose=True)

numpy.ma.harden_mask(self) = Force the mask to hard. Whether the mask of a masked array is hard or soft is determined

class numpy.finfo

chararray.upper()

chararray.strides Tuple of bytes to step in each dimension when traversing an array. The

vectorize.__call__(*args, **kwargs)

numpy.bitwise_and(x1, x2[, out]) = Compute the bit-wise AND of two arrays element-wise. Computes the bit-wise AND of

RandomState.noncentral_chisquare(df, nonc, size=None) Draw samples from a noncentral chi-square

numpy.atleast_3d(*arys)