def rsolve(A, b, epsilon=_epsilon):
    r"""Robust solve for the linear equations.

    Args:
        A (array_like): Coefficient matrix.
        b (array_like): Ordinate values.

    Returns:
        :class:`numpy.ndarray`: Solution ``x``.
    """
    A = asarray(A, float)
    b = asarray(b, float)
    if A.shape[0] == 0:
        return zeros((A.shape[1],))
    if A.shape[1] == 0:
        return zeros((0,))
    try:
        x = lstsq(A, b, rcond=epsilon)
        r = sum(x[3] > epsilon)
        if r == 0:
            return zeros(A.shape[1])
        return x[0]
    except (ValueError, LinAlgError) as e:
        warnings.warn(str(e), RuntimeWarning)
    return solve(A, b)
def rsolve ( A , b , epsilon = _epsilon ) : A = asarray ( A , float ) b = asarray ( b , float ) if A . shape [ 0 ] == 0 : return zeros ( ( A . shape [ 1 ] , ) ) if A . shape [ 1 ] == 0 : return zeros ( ( 0 , ) ) try : x = lstsq ( A , b , rcond = epsilon ) r = sum ( x [ 3 ] > epsilon ) if r == 0 : return zeros ( A . shape [ 1 ] ) return x [ 0 ] except ( ValueError , LinAlgError ) as e : warnings . warn ( str ( e ) , RuntimeWarning ) return solve ( A , b )
r"""Robust solve for the linear equations.

    Args:
        A (array_like): Coefficient matrix.
        b (array_like): Ordinate values.

    Returns:
        :class:`numpy.ndarray`: Solution ``x``.