Esempio n. 1
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    def test_merge_flat_interval_and_looser_supported_interval(self):
        number = Interval(14.5, 16.7)
        sup = Supported(Interval(3, 18), {'this', 'that'})

        self.assertEqual(
            merge(number, sup),
            merge(sup, number),
        )

        self.assertEqual(
            merge(number, sup),
            Supported(Interval(14.5, 16.7), {})
        )
Esempio n. 2
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    def test_merge_none_and_supported_interval(self):
        nil = None
        sup = Supported(Interval(15, 16), {'this', 'that'})

        self.assertEqual(
            merge(nil, sup),
            merge(sup, nil),
        )

        self.assertEqual(
            merge(sup, nil),
            Supported(Interval(15, 16), {'this', 'that'})
        )
Esempio n. 3
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 def test_if_merging_contradiction_with_supported_value_is_contradictory(
         self):
     c = Contradiction("foo")
     n = Supported(Interval(5, 10))
     m1 = merge(c, n)
     m2 = merge(n, c)
     self.assertTrue(is_contradictory(m1))
     self.assertTrue(is_contradictory(m2))
Esempio n. 4
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    # We now build a sequence of sample dependency tracking systems of
    # increasing complexity. We start with a relatively simple system
    # that only tracks and reports the provenance of its data.
    #
    # How do we want our provenance system to work? We can make cells
    # and define networks as usual, but if we add supported values as inputs,
    # we get supported values as outputs:

    barometer_height = Cell('barometer height')
    barometer_shadow = Cell('barometer shadow')
    building_height = Cell('building height')
    building_shadow = Cell('building shadow')

    similar_triangles(barometer_shadow, barometer_height, building_shadow, building_height)

    building_shadow.add_content(Supported(Interval(54.9, 55.1), ['shadows']))
    barometer_height.add_content(Supported(Interval(0.3, 0.32), ['shadows']))
    barometer_shadow.add_content(Supported(Interval(0.36, 0.37), ['shadows']))

    scheduler.run()

    print(building_height.content)
    # Supported(Interval(44.51351351351351, 48.977777777777774), {'shadows'})

    # Indeed, our estimate for the height of the building depends on our
    # measurements of the barometer and the shadow. We can try
    # dropping the barometer off the roof, but if we do a bad job of
    # timing its fall, our estimate won’t improve.

    fall_time = Cell('fall time')
    fall_duration(fall_time, building_height)
Esempio n. 5
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 def test_supported_doesnt_subsume_one_with_tighter_value_and_tighter_supports(self):
     sup1 = Supported(Interval(5, 10), {'this', 'that'})
     sup2 = Supported(Interval(6, 9), {'this'})
     self.assertFalse(sup1.subsumes(sup2))
Esempio n. 6
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 def test_supported_subsumes_one_with_looser_value_and_looser_supports(self):
     sup1 = Supported(Interval(6, 9), {'this'})
     sup2 = Supported(Interval(5, 10), {'this', 'that'})
     self.assertTrue(sup1.subsumes(sup2))
Esempio n. 7
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 def test_supported_interval_is_not_contradictory(self):
     sup = Supported(Interval(14, 15), {})
     self.assertFalse(is_contradictory(sup))
Esempio n. 8
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 def test_supported_contradiction_is_contradictory(self):
     sup = Supported(Contradiction('...'), {})
     self.assertTrue(is_contradictory(sup))
Esempio n. 9
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    def test_merge_contradictory_supported_values(self):
        sup1 = Supported(Interval(3, 6), {})
        sup2 = Supported(Interval(7, 9), {})
        merged = merge(sup1, sup2)

        self.assertTrue(is_contradictory(merged))