def test___repr__():
"""Test repr(VariableAssignment)."""
vocabulary = Vocabulary(['C', 'C\''], [RelationSymbol('R', 1)], ['V'])
a = Attribute("a", [])
b = Attribute("b", [])
astr = AttributeStructure(a, b)
objs = ['a', 'b', 'c']
attribute_system = AttributeSystem(astr, objs)
mapping = {'V': 'a'}
VA = VariableAssignment(vocabulary, attribute_system, mapping)
assert VA.__repr__() == "VA{'V': 'a'}"
def test___getitem__():
"""Test indexing for VariableAssignment object."""
def test_TypeError(variable_assignment, key):
"""Test constructor for TypeErrors with given params."""
with pytest.raises(TypeError) as excinfo:
variable_assignment[key]
def test_KeyError(variable_assignment, key):
"""Test constructor for KeyErrors with given params."""
with pytest.raises(KeyError) as excinfo:
variable_assignment[key]
vocabulary = Vocabulary(['C'], [RelationSymbol('R', 1)], ['V'])
a = Attribute("a", [])
b = Attribute("b", [])
astr = AttributeStructure(a, b)
objs = ['a', 'b', 'c']
attribute_system = AttributeSystem(astr, objs)
mapping = {'V': 'a'}
VA = VariableAssignment(vocabulary, attribute_system, mapping)
test_TypeError(VA, 1)
test_TypeError(VA, None)
test_TypeError(VA, object)
test_KeyError(VA, '')
assert VA['V'] == 'a'
def test___init__():
"""Test VariableAssignment constructor."""
def test_TypeError(vocabulary, attribute_system, mapping):
"""Test constructor for TypeErrors with given params."""
with pytest.raises(TypeError) as excinfo:
VariableAssignment(vocabulary, attribute_system, mapping)
def test_ValueError(vocabulary, attribute_system, mapping):
"""Test constructor for ValueErrors with given params."""
with pytest.raises(ValueError) as excinfo:
VariableAssignment(vocabulary, attribute_system, mapping)
vocabulary = Vocabulary(['C'], [RelationSymbol('R', 1)], ['V'])
a = Attribute("a", [])
b = Attribute("b", [])
astr = AttributeStructure(a, b)
objs = ['a', 'b', 'c']
attribute_system = AttributeSystem(astr, objs)
test_TypeError(vocabulary, attribute_system, {'V': 1})
test_TypeError(vocabulary, attribute_system, {1: 'a'})
test_ValueError(vocabulary, attribute_system, {'V': 'bad'})
test_ValueError(vocabulary, attribute_system, {'bad': 'a'})
VA = VariableAssignment(vocabulary, attribute_system, {'V': 'a'})
def test___ne__():
"""Test != operator for VariableAssignment object."""
vocabulary1 = Vocabulary(['C'], [RelationSymbol('R', 1)], ['V'])
vocabulary2 = Vocabulary(['C\''], [RelationSymbol('R\'', 1)], ['V\''])
a = Attribute("a", [])
b = Attribute("b", [])
astr1 = AttributeStructure(a, b)
astr2 = AttributeStructure(b)
objs1 = ['a', 'b', 'c']
objs2 = ['a']
attribute_system1 = AttributeSystem(astr1, objs1)
attribute_system2 = AttributeSystem(astr2, objs2)
mapping1 = {'V': 'a'}
mapping2 = {'V': 'b'}
A1 = VariableAssignment(vocabulary1, attribute_system1, mapping1)
A2 = VariableAssignment(vocabulary1, attribute_system1, mapping1)
A3 = VariableAssignment(vocabulary1, attribute_system1, mapping2)
assert not A1 != A1
assert not A1 != A2
assert A1 != A3
def test___deepcopy__():
"""Test copy.deepcopy for VariableAssignment object."""
from copy import deepcopy
vocabulary = Vocabulary(['C'], [RelationSymbol('R', 1)], ['V'])
a = Attribute("a", [])
b = Attribute("b", [])
astr = AttributeStructure(a, b)
objs = ['a', 'b', 'c']
attribute_system = AttributeSystem(astr, objs)
mapping = {'V': 'a'}
VA = VariableAssignment(vocabulary, attribute_system, mapping)
VA_copy = deepcopy(VA)
assert VA == VA_copy
assert VA is not VA_copy
assert VA._vocabulary is VA_copy._vocabulary
assert VA._attribute_system is not VA_copy._attribute_system
assert VA._mapping is not VA_copy._mapping
def test_get_basis():
"""Test get_basis function for Formula."""
point = Attribute('point', [Point('x', 'x', 'x', 'x')])
fake = Attribute('fake', [])
r_is_on = Relation('R1(h1, h2, h3) <=> is_on(h1, h2, h3)',
['point', 'point', 'point'], 1)
r_not_same_point = Relation('R2(h1, h2) <=> not_same_point(h1, h2)',
['point', 'point'], 2)
r_clocks_unequal = Relation('R3(h1, h2) <=> clocks_unequal(h1, h2)',
['point', 'point'], 3)
r_can_observe = Relation(
'R4(p, sp_loc, wls, wle) <=> can_observe(p, sp_loc, wls, wle)',
['point', 'point', 'point', 'point'], 4)
r_fake = Relation(
'R5(p, wl1s, wl1e, wl2s, wl2e) <=> meets(p, wl1s, wl1e, wl2s, wl2e)',
['fake', 'point', 'fake', 'fake', 'point'], 5)
attribute_structure = AttributeStructure(point, fake, r_is_on,
r_not_same_point,
r_clocks_unequal, r_can_observe,
r_fake)
rs_is_on = RelationSymbol('IS_ON', 3)
rs_not_same_point = RelationSymbol('NOT_SAME_POINT', 2)
rs_clocks_unequal = RelationSymbol('CLOCKS_UNEQUAL', 2)
rs_can_observe = RelationSymbol('CAN_OBSERVE', 4)
rs_fake = RelationSymbol('FAKE', 5)
vocabulary = Vocabulary(['P1', 'P2', 'P3', 'P4', 'P5'], [
rs_is_on, rs_not_same_point, rs_clocks_unequal, rs_can_observe, rs_fake
], [])
profiles = [[rs_is_on, ('point', 1), ('point', 2), ('point', 3)],
[rs_not_same_point, ('point', 1), ('point', 2)],
[rs_clocks_unequal, ('point', 1), ('point', 2)],
[
rs_can_observe, ('point', 1), ('point', 2), ('point', 3),
('point', 4)
],
[
rs_fake, ('fake', 1), ('point', 2), ('fake', 3),
('fake', 4), ('point', 5)
]]
mapping = {
rs_is_on: 1,
rs_not_same_point: 2,
rs_clocks_unequal: 3,
rs_can_observe: 4,
rs_fake: 5
}
attribute_interpretation = AttributeInterpretation(vocabulary,
attribute_structure,
mapping, profiles)
objects = ['p1', 'p2', 'p3', 'p4', 'p5']
attribute_system = AttributeSystem(attribute_structure, objects)
p = ConstantAssignment(vocabulary, attribute_system, {
'P1': 'p1',
'P2': 'p2',
'P3': 'p3',
'P4': 'p4',
'P5': 'p5'
})
named_state = NamedState(
attribute_system, p, {
('point', 'p1'): [Point(1.5, 1.5, 1.5, 1.5)],
('point', 'p2'): [Point(2.0, 2.0, 2.0, 2.0)],
('point', 'p3'): [Point(1.0, 1.0, 1.0, 1.0)],
('point', 'p4'): [Point(3.0, 3.0, 3.0, 3.0)],
('point', 'p5'): [Point(2.0, 2.0, 2.0, 2.0)]
})
f1 = Formula(vocabulary, 'IS_ON', 'P1', 'P3', 'P4')
f2 = Formula(vocabulary, 'NOT_SAME_POINT', 'P1', 'P2')
f3 = Formula(vocabulary, 'CLOCKS_UNEQUAL', 'P1', 'P2')
f4 = Formula(vocabulary, 'CAN_OBSERVE', 'P1', 'P2', 'P3', 'P4')
f5 = Formula(vocabulary, 'FAKE', 'P1', 'P2', 'P3', 'P4', 'P5')
VA = VariableAssignment(vocabulary, attribute_system, {}, dummy=True)
f1_basis = set([('point', 'p1'), ('point', 'p3'), ('point', 'p4')])
f2_basis = set([('point', 'p1'), ('point', 'p2')])
f1_f2_f3_basis = set([('point', 'p1'), ('point', 'p2'), ('point', 'p3'),
('point', 'p4')])
f5_basis = set([('fake', 'p1'), ('fake', 'p4'), ('point', 'p2'),
('point', 'p5'), ('fake', 'p3')])
f4_f5_basis = set([('fake', 'p1'), ('fake', 'p4'), ('point', 'p2'),
('point', 'p5'), ('fake', 'p3'), ('point', 'p1'),
('point', 'p3'), ('point', 'p4')])
assert f1_basis == set(
Formula.get_basis(named_state._p, VA, attribute_interpretation, f1))
assert f2_basis == set(
Formula.get_basis(named_state._p, VA, attribute_interpretation, f2))
assert f1_f2_f3_basis == set(
Formula.get_basis(named_state._p, VA, attribute_interpretation, f1, f2,
f3))
assert f5_basis == set(
Formula.get_basis(named_state._p, VA, attribute_interpretation, f5))
assert f4_f5_basis == set(
Formula.get_basis(named_state._p, VA, attribute_interpretation, f4,
f5))
def test_assign_truth_value():
"""Test assign_truth_value() function of Formula object."""
def test_TypeError(formula, attribute_interpretation, named_state, X):
"""Test TypeError catching in assign_truth_value()."""
with pytest.raises(TypeError) as excinfo:
formula.assign_truth_value(attribute_interpretation, named_state,
X)
def test_ValueError(formula, attribute_interpretation, named_state, X):
"""Test ValueError catching in assign_truth_value()."""
with pytest.raises(ValueError) as excinfo:
formula.assign_truth_value(attribute_interpretation, named_state,
X)
a = Attribute('hour', [Interval(0, 23)])
a2 = Attribute('minute', [Interval(0, 59)])
r_pm = Relation('R1(h1) <=> h1 > 11', ['hour'], 1)
r_am = Relation('R2(h1) <=> h1 <= 11', ['hour'], 2)
r_ahead = Relation(
'R3(h1,m1,hhh2,mm2) <=> h1 > hhh2 or (h1 = hhh2 and m1 > mm2)',
['hour', 'minute', 'hour', 'minute'], 3)
r_behind = Relation(
'R4(h1,m1,h2,m2) <=> h1 <= h2 or (h1 = h2 and m1 < m2)',
['hour', 'minute', 'hour', 'minute'], 4)
attribute_structure = AttributeStructure(a, a2, r_ahead, r_behind, r_pm,
r_am)
pm_rs = RelationSymbol('PM', 1)
am_rs = RelationSymbol('AM', 1)
ahead_rs = RelationSymbol('Ahead', 4)
behind_rs = RelationSymbol('Behind', 4)
vocabulary = Vocabulary(['C1', 'C2'], [pm_rs, am_rs, ahead_rs, behind_rs],
['V1', 'V2'])
profiles = [
[pm_rs, ('hour', 1)], [am_rs, ('hour', 1)],
[ahead_rs, ('hour', 1), ('minute', 1), ('hour', 2), ('minute', 2)],
[behind_rs, ('hour', 1), ('minute', 1), ('hour', 2), ('minute', 2)]
]
bad_profiles = [[pm_rs, ('hour', 1)], [am_rs, ('hour', 1)],
[ahead_rs, ('minute', 1), ('hour', 2), ('minute', 2)],
[
behind_rs, ('hour', 1), ('minute', 1), ('hour', 2),
('minute', 2)
]]
mapping = {pm_rs: 1, am_rs: 2, ahead_rs: 3, behind_rs: 4}
attribute_interpretation = AttributeInterpretation(vocabulary,
attribute_structure,
mapping, profiles)
objects = ['s1', 's2']
attribute_system = AttributeSystem(attribute_structure, objects)
p = ConstantAssignment(vocabulary, attribute_system, {
'C1': 's1',
'C2': 's2'
})
named_state = NamedState(
attribute_system, p, {
('hour', 's1'): [9, 13],
('minute', 's1'): [12],
('hour', 's2'): [8],
('minute', 's2'): [27]
})
f = Formula(vocabulary, 'Ahead', 'C1', 'C2')
VA = VariableAssignment(vocabulary, attribute_system, {}, dummy=True)
bad_vocabulary = Vocabulary(['C1', 'C2', 'C3'],
[pm_rs, am_rs, ahead_rs, behind_rs],
['V1', 'V2'])
bad_p = ConstantAssignment(bad_vocabulary, attribute_system, {
'C1': 's1',
'C2': 's2'
})
bad_f = Formula(bad_vocabulary, 'Ahead', 'C1', 'C2')
bad_t_f = Formula(bad_vocabulary, 'Ahead', 'C1')
bad_v_attribute_interpretation = AttributeInterpretation(
bad_vocabulary, attribute_structure, mapping, profiles)
bad_p_attribute_interpretation = AttributeInterpretation(
vocabulary, attribute_structure, mapping, bad_profiles)
bad_named_state = NamedState(attribute_system, bad_p, {})
bad_VA = VariableAssignment(bad_vocabulary,
attribute_system, {},
dummy=True)
# Test invalid types
test_TypeError(f, None, named_state, VA)
test_TypeError(f, object, named_state, VA)
test_TypeError(f, attribute_interpretation, None, VA)
test_TypeError(f, attribute_interpretation, object, VA)
test_TypeError(f, attribute_interpretation, named_state, None)
test_TypeError(f, attribute_interpretation, named_state, object)
# Test mismatched vocabularies
test_ValueError(bad_f, attribute_interpretation, named_state, VA)
test_ValueError(f, bad_v_attribute_interpretation, named_state, VA)
test_ValueError(bad_f, attribute_interpretation, bad_named_state, VA)
test_ValueError(f, attribute_interpretation, named_state, bad_VA)
# Test profile length, DR length mismatch
test_ValueError(f, bad_p_attribute_interpretation, named_state, VA)
# Test profile j_x against length of terms
test_ValueError(bad_t_f, attribute_interpretation, named_state, VA)
assert f.assign_truth_value(attribute_interpretation, named_state, VA)
from vivid.classes.point import Point
point = Attribute('point', [Point('x', 'x', 'x', 'x')])
r_is_on = Relation('R1(h1, h2, h3) <=> is_on(h1, h2, h3)',
['point', 'point', 'point'], 1)
r_not_same_point = Relation('R2(h1, h2) <=> not_same_point(h1, h2)',
['point', 'point'], 2)
r_clocks_unequal = Relation('R3(h1, h2) <=> clocks_unequal(h1, h2)',
['point', 'point'], 3)
r_can_observe = Relation(
'R4(p, sp_loc, wls, wle) <=> can_observe(p, sp_loc, wls, wle)',
['point', 'point', 'point', 'point'], 4)
r_meets = Relation(
'R5(p, wl1s, wl1e, wl2s, wl2e) <=> meets(p, wl1s, wl1e, wl2s, wl2e)',
['point', 'point', 'point', 'point', 'point'], 5)
attribute_structure = AttributeStructure(point, r_is_on, r_not_same_point,
r_clocks_unequal, r_can_observe,
r_meets)
rs_is_on = RelationSymbol('IS_ON', 3)
rs_not_same_point = RelationSymbol('NOT_SAME_POINT', 2)
rs_clocks_unequal = RelationSymbol('CLOCKS_UNEQUAL', 2)
rs_can_observe = RelationSymbol('CAN_OBSERVE', 4)
rs_meets = RelationSymbol('MEETS', 5)
vocabulary = Vocabulary(['P1', 'P2', 'P3', 'P4', 'P5'], [
rs_is_on, rs_not_same_point, rs_clocks_unequal, rs_can_observe,
rs_meets
], [])
profiles = [[rs_is_on, ('point', 1), ('point', 2), ('point', 3)],
[rs_not_same_point, ('point', 1), ('point', 2)],
[rs_clocks_unequal, ('point', 1), ('point', 2)],
[
rs_can_observe, ('point', 1), ('point', 2), ('point', 3),
('point', 4)
],
[
rs_meets, ('point', 1), ('point', 2), ('point', 3),
('point', 4), ('point', 5)
]]
mapping = {
rs_is_on: 1,
rs_not_same_point: 2,
rs_clocks_unequal: 3,
rs_can_observe: 4,
rs_meets: 5
}
attribute_interpretation = AttributeInterpretation(vocabulary,
attribute_structure,
mapping, profiles)
objects = ['p1', 'p2', 'p3', 'p4', 'p5']
attribute_system = AttributeSystem(attribute_structure, objects)
p = ConstantAssignment(vocabulary, attribute_system, {
'P1': 'p1',
'P2': 'p2',
'P3': 'p3',
'P4': 'p4',
'P5': 'p5'
})
named_state = NamedState(
attribute_system, p, {
('point', 'p1'): [Point(1.5, 1.5, 1.5, 1.5)],
('point', 'p2'): [Point(2.0, 2.0, 2.0, 2.0)],
('point', 'p3'): [Point(1.0, 1.0, 1.0, 1.0)],
('point', 'p4'): [Point(3.0, 3.0, 3.0, 3.0)],
('point', 'p5'): [Point(2.0, 2.0, 2.0, 2.0)]
})
f1 = Formula(vocabulary, 'IS_ON', 'P1', 'P3', 'P4')
f2 = Formula(vocabulary, 'NOT_SAME_POINT', 'P1', 'P2')
f3 = Formula(vocabulary, 'CLOCKS_UNEQUAL', 'P1', 'P2')
f4 = Formula(vocabulary, 'CAN_OBSERVE', 'P1', 'P2', 'P3', 'P4')
f5 = Formula(vocabulary, 'MEETS', 'P1', 'P2', 'P3', 'P4', 'P5')
VA = VariableAssignment(vocabulary, attribute_system, {}, dummy=True)
assumption_base = AssumptionBase(f1, f2, f3, f4)
for f in assumption_base:
assert f.assign_truth_value(attribute_interpretation, named_state, VA)
named_state.set_ascription(('point', 'p4'), [Point(1.0, 1.0, 1.0, 1.0)])
assert f5.assign_truth_value(attribute_interpretation, named_state, VA)
def point_test():
"""Do test with Point object and its parser."""
from vivid.classes.point import Point
point = Attribute('point', [Point('x', 'x', 'x', 'x')])
r_is_on = Relation('R1(h1, h2, h3) <=> is_on(h1, h2, h3)',
['point', 'point', 'point'], 1)
r_not_same_point = Relation('R2(h1, h2) <=> not_same_point(h1, h2)',
['point', 'point'], 2)
r_clocks_unequal = Relation('R3(h1, h2) <=> clocks_unequal(h1, h2)',
['point', 'point'], 3)
r_can_observe = Relation(
'R4(p, sp_loc, wls, wle) <=> can_observe(p, sp_loc, wls, wle)',
['point', 'point', 'point', 'point'], 4)
attribute_structure = AttributeStructure(point, r_is_on,
r_not_same_point,
r_clocks_unequal,
r_can_observe)
rs_is_on = RelationSymbol('IS_ON', 3)
rs_not_same_point = RelationSymbol('NOT_SAME_POINT', 2)
rs_clocks_unequal = RelationSymbol('CLOCKS_UNEQUAL', 2)
rs_can_observe = RelationSymbol('CAN_OBSERVE', 4)
vocabulary = Vocabulary(
['P1', 'P2', 'P3', 'P4'],
[rs_is_on, rs_not_same_point, rs_clocks_unequal, rs_can_observe],
[])
profiles = [[rs_is_on, ('point', 1), ('point', 2), ('point', 3)],
[rs_not_same_point, ('point', 1), ('point', 2)],
[rs_clocks_unequal, ('point', 1), ('point', 2)],
[
rs_can_observe, ('point', 1), ('point', 2),
('point', 3), ('point', 4)
]]
mapping = {
rs_is_on: 1,
rs_not_same_point: 2,
rs_clocks_unequal: 3,
rs_can_observe: 4
}
attribute_interpretation = AttributeInterpretation(
vocabulary, attribute_structure, mapping, profiles)
objects = ['p1', 'p2', 'p3', 'p4']
attribute_system = AttributeSystem(attribute_structure, objects)
p = ConstantAssignment(vocabulary, attribute_system, {
'P1': 'p1',
'P2': 'p2',
'P3': 'p3',
'P4': 'p4'
})
named_state = NamedState(
attribute_system, p, {
('point', 'p1'): [Point(1.5, 1.5, 1.5, 1.5)],
('point', 'p2'): [Point(2.0, 2.0, 2.0, 2.0)],
('point', 'p3'): [Point(1.0, 1.0, 1.0, 1.0)],
('point', 'p4'): [Point(3.0, 3.0, 3.0, 3.0)]
})
f1 = Formula(vocabulary, 'IS_ON', 'P1', 'P3', 'P4')
f2 = Formula(vocabulary, 'NOT_SAME_POINT', 'P1', 'P2')
f3 = Formula(vocabulary, 'CLOCKS_UNEQUAL', 'P1', 'P2')
f4 = Formula(vocabulary, 'CAN_OBSERVE', 'P1', 'P2', 'P3', 'P4')
VA = VariableAssignment(vocabulary, attribute_system, {}, dummy=True)
assumption_base = AssumptionBase(f2, f3, f4)
context = Context(assumption_base, named_state)
# A context always entails its own named state
assert context.entails_named_state(named_state,
attribute_interpretation)
named_state = NamedState(
attribute_system, p, {
('point', 'p1'):
[Point(1.5, 1.5, 1.5, 1.5),
Point(2.5, 2.5, 2.5, 2.5)],
('point', 'p2'): [Point(2.0, 2.0, 2.0, 2.0)],
('point', 'p3'): [Point(1.0, 1.0, 1.0, 1.0)],
('point', 'p4'): [Point(3.0, 3.0, 3.0, 3.0)]
})
# A context entails named states that when the worlds of the context
# extend the named state
assert context.entails_named_state(named_state,
attribute_interpretation)
named_state = NamedState(
attribute_system, p, {
('point', 'p1'):
[Point(1.5, 1.5, 1.5, 1.5),
Point(2.5, 2.5, 2.5, 2.5)],
('point', 'p2'): [Point(2.0, 2.0, 2.0, 2.0)],
('point', 'p3'): [Point(1.0, 1.0, 1.0, 1.0)],
('point', 'p4'): [Point(3.0, 3.0, 3.0, 3.0)]
})
context = Context(assumption_base, named_state)
named_state = NamedState(
attribute_system, p, {
('point', 'p1'): [Point(4.25, 1.3, 5.4, 7.5)],
('point', 'p2'): [Point(2.0, 2.4, 2.0, 2.0)],
('point', 'p3'): [Point(1.0, 1.0, 5.0, 1.0)],
('point', 'p4'): [Point(3.0, 3.0, 3.0, 8.0)]
})
# A context does not entail a named state when the worlds of the
# context do not extend the named state
assert not context.entails_named_state(named_state,
attribute_interpretation)
assumption_base = AssumptionBase(
Formula(vocabulary, 'NOT_SAME_POINT', 'P1', 'P1'))
context = Context(assumption_base, named_state)
named_state = NamedState(
attribute_system, p, {
('point', 'p1'): [Point(8.5, 1.4, 2.1, 3.6)],
('point', 'p2'): [Point(2.0, 2.0, 2.0, 2.0)],
('point', 'p3'): [Point(1.0, 1.0, 1.0, 1.0)],
('point', 'p4'): [Point(3.0, 3.0, 3.0, 3.0)]
})
# A context trivially entails a named state when no world of the
# context satisfies the context
assert context.entails_named_state(named_state,
attribute_interpretation)
def point_test():
"""Do test with Point object and its parser."""
from vivid.classes.point import Point
point = Attribute('point', [Point('x', 'x', 'x', 'x')])
r_is_on = Relation('R1(h1, h2, h3) <=> is_on(h1, h2, h3)',
['point', 'point', 'point'], 1)
r_not_same_point = Relation('R2(h1, h2) <=> not_same_point(h1, h2)',
['point', 'point'], 2)
r_clocks_unequal = Relation('R3(h1, h2) <=> clocks_unequal(h1, h2)',
['point', 'point'], 3)
r_can_observe = Relation(
'R4(p, sp_loc, wls, wle) <=> can_observe(p, sp_loc, wls, wle)',
['point', 'point', 'point', 'point'], 4)
attribute_structure = AttributeStructure(point, r_is_on,
r_not_same_point,
r_clocks_unequal,
r_can_observe)
rs_is_on = RelationSymbol('IS_ON', 3)
rs_not_same_point = RelationSymbol('NOT_SAME_POINT', 2)
rs_clocks_unequal = RelationSymbol('CLOCKS_UNEQUAL', 2)
rs_can_observe = RelationSymbol('CAN_OBSERVE', 4)
vocabulary = Vocabulary(
['P1', 'P2', 'P3', 'P4', 'P5'],
[rs_is_on, rs_not_same_point, rs_clocks_unequal, rs_can_observe],
[])
profiles = [[rs_is_on, ('point', 1), ('point', 2), ('point', 3)],
[rs_not_same_point, ('point', 1), ('point', 2)],
[rs_clocks_unequal, ('point', 1), ('point', 2)],
[
rs_can_observe, ('point', 1), ('point', 2),
('point', 3), ('point', 4)
]]
mapping = {
rs_is_on: 1,
rs_not_same_point: 2,
rs_clocks_unequal: 3,
rs_can_observe: 4
}
attribute_interpretation = AttributeInterpretation(
vocabulary, attribute_structure, mapping, profiles)
objects = ['p1', 'p2', 'p3', 'p4', 'p5']
attribute_system = AttributeSystem(attribute_structure, objects)
p = ConstantAssignment(vocabulary, attribute_system, {
'P1': 'p1',
'P2': 'p2',
'P3': 'p3',
'P4': 'p4',
'P5': 'p5'
})
world = NamedState(
attribute_system, p, {
('point', 'p1'): [Point(1.5, 1.5, 1.5, 1.5)],
('point', 'p2'): [Point(2.0, 2.0, 2.0, 2.0)],
('point', 'p3'): [Point(1.0, 1.0, 1.0, 1.0)],
('point', 'p4'): [Point(3.0, 3.0, 3.0, 3.0)]
})
f1 = Formula(vocabulary, 'IS_ON', 'P1', 'P3', 'P4')
f2 = Formula(vocabulary, 'NOT_SAME_POINT', 'P1', 'P2')
f3 = Formula(vocabulary, 'CLOCKS_UNEQUAL', 'P1', 'P2')
f4 = Formula(vocabulary, 'CAN_OBSERVE', 'P1', 'P2', 'P3', 'P4')
VA = VariableAssignment(vocabulary, attribute_system, {}, dummy=True)
assumption_base = AssumptionBase(f2, f3, f4)
context = Context(assumption_base, world)
# Whenever we can observe a Point, we're either at that point or on
# same worldline so IS_ON should hold
assert context.entails_formula(f1, attribute_interpretation)
# We always entail our own formulae
assert context.entails_formula(f2, attribute_interpretation)
assert context.entails_formula(f3, attribute_interpretation)
assert context.entails_formula(f4, attribute_interpretation)
def test_ValueError(vocabulary, attribute_system, mapping):
"""Test constructor for ValueErrors with given params."""
with pytest.raises(ValueError) as excinfo:
VariableAssignment(vocabulary, attribute_system, mapping)
def test_memory_binding():
"""Test that a vocabulary is shared across all objects that use it."""
from vivid.classes.attribute import Attribute
from vivid.classes.relation import Relation
from vivid.classes.attribute_structure import AttributeStructure
from vivid.classes.attribute_system import AttributeSystem
from vivid.classes.constant_assignment import ConstantAssignment
from vivid.classes.variable_assignment import VariableAssignment
from vivid.classes.named_state import NamedState
from vivid.classes.formula import Formula
from vivid.classes.assumption_base import AssumptionBase
from vivid.classes.attribute_interpretation import AttributeInterpretation
from vivid.classes.context import Context
color = Attribute("color", ['R', 'G', 'B'])
size = Attribute("size", ['S', 'M', 'L'])
r = Relation('R1(c) <=> c', ['color'], 1)
attribute_structure = AttributeStructure(color, size, r)
o = ['s1', 's2']
attribute_system = AttributeSystem(attribute_structure, o)
dummy_rs = RelationSymbol('DUMMY', 3)
vocabulary = Vocabulary(["dummy"], [dummy_rs], [])
p = ConstantAssignment(vocabulary, attribute_system, {})
p2 = ConstantAssignment(vocabulary, attribute_system, {})
X = VariableAssignment(vocabulary, attribute_system, {})
s = NamedState(attribute_system, p)
s2 = NamedState(attribute_system, p2)
f = Formula(vocabulary, 'DUMMY', "dummy")
assumption_base = AssumptionBase(f)
context = Context(assumption_base, s)
profiles = [[dummy_rs, ('color', 1)]]
mapping = {dummy_rs: 1}
attribute_interpretation = AttributeInterpretation(vocabulary,
attribute_structure,
mapping, profiles)
vocabulary.add_constant("Vocabulary")
p._vocabulary.add_constant("constant")
X._vocabulary.add_variable("variable")
s._p._vocabulary.add_constant("named_state")
f._vocabulary.add_constant("formula")
assumption_base._vocabulary.add_constant("assumption_base")
context._named_state._p._vocabulary.add_constant("context")
attribute_interpretation._vocabulary.add_constant(
"attribute_interpretation")
assert str(vocabulary) == str(p._vocabulary) == str(X._vocabulary) == \
str(s._p._vocabulary) == str(f._vocabulary) == \
str(assumption_base._vocabulary) == \
str(context._named_state._p._vocabulary) == \
str(attribute_interpretation._vocabulary)
assert vocabulary is p._vocabulary
assert vocabulary is X._vocabulary
assert vocabulary is s._p._vocabulary
assert vocabulary is f._vocabulary
assert vocabulary is assumption_base._vocabulary
assert vocabulary is context._named_state._p._vocabulary
assert vocabulary is attribute_interpretation._vocabulary
from copy import deepcopy
p_copy = deepcopy(p)
X_copy = deepcopy(X)
s_copy = deepcopy(s)
f_copy = deepcopy(f)
assumption_base_copy = deepcopy(assumption_base)
context_copy = deepcopy(context)
attribute_interpretation_copy = deepcopy(attribute_interpretation)
assert vocabulary is p_copy._vocabulary
assert vocabulary is X_copy._vocabulary
assert vocabulary is s_copy._p._vocabulary
assert vocabulary is f_copy._vocabulary
assert vocabulary is assumption_base_copy._vocabulary
assert vocabulary is context_copy._named_state._p._vocabulary
assert vocabulary is attribute_interpretation_copy._vocabulary