def idzp_svd(eps, A):
 A = np.asfortranarray(A)
 (m, n) = A.shape
 (k, iU, iV, iS, w, ier) = _id.idzp_svd(eps, A)
 if ier:
  raise _RETCODE_ERROR
 U = w[(iU - 1):((iU + (m * k)) - 1)].reshape((m, k), order='F')
 V = w[(iV - 1):((iV + (n * k)) - 1)].reshape((n, k), order='F')
 S = w[(iS - 1):((iS + k) - 1)]
 return (U, V, S)

def idzp_svd ( eps , A ) : A = np . asfortranarray ( A ) ( m , n ) = A . shape ( k , iU , iV , iS , w , ier ) = _id . idzp_svd ( eps , A ) if ier : raise _RETCODE_ERROR U = w [ ( iU - 1 ) : ( ( iU + ( m * k ) ) - 1 ) ] . reshape ( ( m , k ) , order = 'F' ) V = w [ ( iV - 1 ) : ( ( iV + ( n * k ) ) - 1 ) ] . reshape ( ( n , k ) , order = 'F' ) S = w [ ( iS - 1 ) : ( ( iS + k ) - 1 ) ] return ( U , V , S )
compute svd of a complex matrix to a specified relative precision .