Exemplo n.º 1
0
def test_derivation_with_general_window():
    block = fully_cross_block([color, text, congruent_bookend], [color, text],
                              [])
    # congruent bookend - yes
    d = Derivation(16, [[0, 2], [1, 3]], congruent_bookend)
    backend_request = BackendRequest(19)
    d.apply(block, backend_request)

    (expected_cnf, expected_fresh) = to_cnf_tseitin(
        And([
            Iff(17, Or([And([1, 3]), And([2, 4])])),
            Iff(19, Or([And([13, 15]), And([14, 16])]))
        ]), 19)

    assert backend_request.fresh == expected_fresh
    assert backend_request.cnfs == [expected_cnf]

    # congruent bookend - no
    d = Derivation(17, [[0, 3], [1, 2]], congruent_bookend)
    backend_request = BackendRequest(19)
    d.apply(block, backend_request)

    (expected_cnf, expected_fresh) = to_cnf_tseitin(
        And([
            Iff(18, Or([And([1, 4]), And([2, 3])])),
            Iff(20, Or([And([13, 16]), And([14, 15])]))
        ]), 19)

    assert backend_request.fresh == expected_fresh
    assert backend_request.cnfs == [expected_cnf]
Exemplo n.º 2
0
def test_derivation_with_multiple_transitions():
    block = fully_cross_block(
        [color, text, color_repeats_factor, text_repeats_factor],
        [color, text], [])

    # Text repeats derivation
    d = Derivation(22, [[2, 6], [3, 7]], text_repeats_factor)
    backend_request = BackendRequest(29)
    d.apply(block, backend_request)

    (expected_cnf, expected_fresh) = to_cnf_tseitin(
        And([
            Iff(23, Or([And([3, 7]), And([4, 8])])),
            Iff(25, Or([And([7, 11]), And([8, 12])])),
            Iff(27, Or([And([11, 15]), And([12, 16])]))
        ]), 29)

    assert backend_request.fresh == expected_fresh
    assert backend_request.cnfs == [expected_cnf]

    # Text does not repeat derivation
    d = Derivation(23, [[2, 7], [3, 6]], text_repeats_factor)
    backend_request = BackendRequest(29)
    d.apply(block, backend_request)

    (expected_cnf, expected_fresh) = to_cnf_tseitin(
        And([
            Iff(24, Or([And([3, 8]), And([4, 7])])),
            Iff(26, Or([And([7, 12]), And([8, 11])])),
            Iff(28, Or([And([11, 16]), And([12, 15])]))
        ]), 29)

    assert backend_request.fresh == expected_fresh
    assert backend_request.cnfs == [expected_cnf]
Exemplo n.º 3
0
def test_derivation_with_transition():
    block = fully_cross_block([color, text, color_repeats_factor],
                              [color, text], [])

    # Color repeats derivation
    d = Derivation(16, [[0, 4], [1, 5]], color_repeats_factor)
    backend_request = BackendRequest(23)
    d.apply(block, backend_request)

    (expected_cnf, expected_fresh) = to_cnf_tseitin(
        And([
            Iff(17, Or([And([1, 5]), And([2, 6])])),
            Iff(19, Or([And([5, 9]), And([6, 10])])),
            Iff(21, Or([And([9, 13]), And([10, 14])]))
        ]), 23)

    assert backend_request.fresh == expected_fresh
    assert backend_request.cnfs == [expected_cnf]

    # Color does not repeat derivation
    d = Derivation(17, [[0, 5], [1, 4]], color_repeats_factor)
    backend_request = BackendRequest(23)
    d.apply(block, backend_request)

    (expected_cnf, expected_fresh) = to_cnf_tseitin(
        And([
            Iff(18, Or([And([1, 6]), And([2, 5])])),
            Iff(20, Or([And([5, 10]), And([6, 9])])),
            Iff(22, Or([And([9, 14]), And([10, 13])]))
        ]), 23)

    assert backend_request.fresh == expected_fresh
    assert backend_request.cnfs == [expected_cnf]
Exemplo n.º 4
0
def test_derivation():
    # Congruent derivation
    d = Derivation(4, [[0, 2], [1, 3]], con_factor)
    backend_request = BackendRequest(24)
    d.apply(block, backend_request)

    (expected_cnf, expected_fresh) = to_cnf_tseitin(
        And([
            Iff(5, Or([And([1, 3]), And([2, 4])])),
            Iff(11, Or([And([7, 9]), And([8, 10])])),
            Iff(17, Or([And([13, 15]), And([14, 16])])),
            Iff(23, Or([And([19, 21]), And([20, 22])]))
        ]), 24)

    assert backend_request.fresh == expected_fresh
    assert backend_request.cnfs == [expected_cnf]

    # Incongruent derivation
    d = Derivation(5, [[0, 3], [1, 2]], con_factor)
    backend_request = BackendRequest(24)
    d.apply(block, backend_request)

    (expected_cnf, expected_fresh) = to_cnf_tseitin(
        And([
            Iff(6, Or([And([1, 4]), And([2, 3])])),
            Iff(12, Or([And([7, 10]), And([8, 9])])),
            Iff(18, Or([And([13, 16]), And([14, 15])])),
            Iff(24, Or([And([19, 22]), And([20, 21])]))
        ]), 24)

    assert backend_request.fresh == expected_fresh
    assert backend_request.cnfs == [expected_cnf]
def test_derivation_with_unusual_order():
    d = Derivation(0, [[4, 2], [5, 3]], congruency)
    backend_request = BackendRequest(64)
    d.apply(block, backend_request)

    (expected_cnf, expected_fresh) = to_cnf_tseitin(
        And([
            Iff(1, Or([And([5, 3]), And([6, 4])])),
            Iff(9, Or([And([13, 11]), And([14, 12])])),
            Iff(17, Or([And([21, 19]), And([22, 20])])),
            Iff(25, Or([And([29, 27]), And([30, 28])])),
            Iff(33, Or([And([37, 35]), And([38, 36])])),
            Iff(41, Or([And([45, 43]), And([46, 44])])),
            Iff(49, Or([And([53, 51]), And([54, 52])])),
            Iff(57, Or([And([61, 59]), And([62, 60])])),
        ]), 64)

    assert backend_request.fresh == expected_fresh
    assert backend_request.cnfs == [expected_cnf]
Exemplo n.º 6
0
def test_derivation_with_three_level_transition():
    f = Factor("f", ["a", "b", "c"])
    f_transition = Factor("transition", [
        DerivedLevel("aa",
                     Transition(lambda c: c[0] == "a" and c[1] == "a", [f])),
        DerivedLevel("ab",
                     Transition(lambda c: c[0] == "a" and c[1] == "b", [f])),
        DerivedLevel("ac",
                     Transition(lambda c: c[0] == "a" and c[1] == "c", [f])),
        DerivedLevel("ba",
                     Transition(lambda c: c[0] == "b" and c[1] == "a", [f])),
        DerivedLevel("bb",
                     Transition(lambda c: c[0] == "b" and c[1] == "b", [f])),
        DerivedLevel("bc",
                     Transition(lambda c: c[0] == "b" and c[1] == "c", [f])),
        DerivedLevel("ca",
                     Transition(lambda c: c[0] == "c" and c[1] == "a", [f])),
        DerivedLevel("cb",
                     Transition(lambda c: c[0] == "c" and c[1] == "b", [f])),
        DerivedLevel("cc",
                     Transition(lambda c: c[0] == "c" and c[1] == "c", [f])),
    ])

    block = fully_cross_block([f, f_transition], [f], [])

    # a-a derivation
    d = Derivation(9, [[0, 3]], f_transition)
    backend_request = BackendRequest(28)
    d.apply(block, backend_request)

    (expected_cnf, expected_fresh) = to_cnf_tseitin(
        And([Iff(10, Or([And([1, 4])])),
             Iff(19, Or([And([4, 7])]))]), 28)

    assert backend_request.fresh == expected_fresh
    assert backend_request.cnfs == [expected_cnf]