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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 has_constraint_violation(A, right_eigenvectors, epsilon=1E-8):
 """Check for constraint violations in transformation matrix. Parameters A : ndarray The transformation matrix. right_eigenvectors : ndarray The right eigenvectors. epsilon : float, optional Tolerance of constraint violation. Returns ------- truth : bool Whether or not the violation exists Notes ------- Checks constraints using Eqn 4.25 in [1]. References .. [1] Deuflhard P, Weber, M., "Robust perron cluster analysis in conformation dynamics," Linear Algebra Appl., vol 398 pp 161-184 2005. """


    lhs = 1 - A[0, 1:].sum()
    rhs = dot(right_eigenvectors[:, 1:], A[1:, 0])
    rhs = -1 * rhs.min()

    if abs(lhs - rhs) > epsilon:
        return True
    else:
        return False