def idd_sfrm(l, n, w, x):
"""
Transform real vector via a composition of Rokhlin's random transform,
random subselection, and an FFT.
In contrast to :func:`idd_frm`, this routine works best when the length of
the transformed vector is known a priori.
:param l:
Length of transformed vector, satisfying `l <= n`.
:type l: int
:param n:
Greatest power-of-two integer satisfying `n <= x.size` as obtained from
:func:`idd_sfrmi`.
:type n: int
:param w:
Initialization array constructed by :func:`idd_sfrmi`.
:type w: :class:`numpy.ndarray`
:param x:
Vector to be transformed.
:type x: :class:`numpy.ndarray`
:return:
Transformed vector.
:rtype: :class:`numpy.ndarray`
"""
return _id.idd_sfrm(l, n, w, x)
def idd_sfrm(l, n, w, x):
"""
Transform real vector via a composition of Rokhlin's random transform,
random subselection, and an FFT.
In contrast to :func:`idd_frm`, this routine works best when the length of
the transformed vector is known a priori.
:param l:
Length of transformed vector, satisfying `l <= n`.
:type l: int
:param n:
Greatest power-of-two integer satisfying `n <= x.size` as obtained from
:func:`idd_sfrmi`.
:type n: int
:param w:
Initialization array constructed by :func:`idd_sfrmi`.
:type w: :class:`numpy.ndarray`
:param x:
Vector to be transformed.
:type x: :class:`numpy.ndarray`
:return:
Transformed vector.
:rtype: :class:`numpy.ndarray`
"""
return _id.idd_sfrm(l, n, w, x)