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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 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)