def test_ordering(self): inter = Interval(0, 15) var1 = Variable(inter) var2 = Variable(inter.move(5)) assert var1 < var2 assert var1 != var2 var2 = Variable(inter.move(-5)) assert var1 > var2 assert var1 != var2 var2 = Variable(Interval(0, 5)) assert var1 > var2 assert var1 != var2 var2 = Variable(Interval(0, 20)) assert var1 < var2 assert var1 != var2 var2 = Variable(Interval(0, 15)) assert var1 == var2 assert not var1 < var2 assert not var1 > var2 var2 = Variable(None) assert var1 != var2 assert var1 > var2 assert not var1 < var2 var2 = Variable() assert var1 != var2 assert var1 > var2
def test_separation(self): inter1 = Interval(0, 3) inter2 = Interval(7, 10) assert inter1.separation(inter2) == 4 assert inter2.separation(inter1) == 4 inter1 = Interval(3, 5) inter2 = Interval(3, 7) assert inter1.separation(inter2) == 0 assert inter2.separation(inter1) == 0 inter1 = Interval(3, 5) inter2 = Interval(0, 5) assert inter1.separation(inter2) == 0 assert inter2.separation(inter1) == 0 inter1 = Interval(3, 5) inter2 = Interval(float("inf"), float("inf")) assert inter1.separation(inter2) == float("inf") assert inter2.separation(inter1) == float("inf") inter1 = Interval(3, 5) inter2 = Interval(float("-inf"), float("-inf")) assert inter1.separation(inter2) == float("inf") assert inter2.separation(inter1) == float("inf")
def test_intersection(self): inter1 = Interval(0, 10) inter2 = Interval(15, 20) inter = inter1.intersection(inter2) assert inter.empty assert inter.start == 0 inter = inter2.intersection(inter1) assert inter.empty assert inter.start == 0 inter2 = Interval(5, 15) inter = inter2.intersection(inter1) assert inter.start == 5 assert inter.end == 10 inter = inter1.intersection(inter2) assert inter.start == 5 assert inter.end == 10 inter2 = Interval(10, 15) inter = inter1.intersection(inter2) assert inter.empty inter = inter2.intersection(inter1) assert inter.empty inter2 = Interval(-1, 0) inter = inter1.intersection(inter2) assert inter.empty inter = inter2.intersection(inter1) assert inter.empty
def test_equal(self): v0 = Interval(0, 10) v1 = Interval(7, 15) nw = ConstraintNetwork() nw.set_equal(v0, v1) nw.minimize_network() assert v0 == v1
def test_hashable(self): var = Interval(10, 150) assert isinstance(var, Hashable) var = [Interval(0, x) for x in range(100)] varset = set(var) assert len(varset) == 100 assert all(v in varset for v in var)
def test_hash(self): inter = Interval(2, 20) assert hash(inter) == (2 ^ 20) x = [1, 7, 1, 23, 1, 7, 1, 23, 1, 7, 1, 23, 1, 7] for m in x: inter = inter.move(m) assert hash(inter) == (2 ^ 20) inter = Interval(float("-inf"), float("inf")) assert hash(inter) == hash(float("-inf")) ^ hash(float("inf"))
def test_hull(self): inter1 = Interval(0, 10) inter2 = Interval(15, 20) inter = inter1.hull(inter2) assert inter.start == 0 assert inter.end == 20 inter = inter2.hull(inter1) assert inter.start == 0 assert inter.end == 20
def test_proper_subset(self): inter1 = Interval(0, 10) inter2 = Interval(4, 6) assert not inter1.proper_subset(inter2) assert inter2.proper_subset(inter1) inter2 = Interval(6, 12) assert not inter2.proper_subset(inter1) inter2 = Interval(-6, 5) assert not inter2.proper_subset(inter1) inter1 = Interval(float("-inf"), float("inf")) assert inter2.proper_subset(inter1)
def test_move(self): inter = Interval(0, 10) inter = inter.move(5) assert isinstance(inter, Interval) assert inter.start == 5 assert inter.end == 15 inter = inter.move(-5) assert inter.start == 0 assert inter.end == 10
def test_set_before(self): v0, v1 = [Interval(-1, x) for x in range(2)] nw = ConstraintNetwork() nw.set_before(v0, v1) nw.minimize_network() assert v0 < v1 assert v0.start == v1.start assert v0.start == -1 nw.set_before(v1, v0) nw.minimize_network() assert v0 == v1 assert v0 == v1 assert v0.start == -1
def test_ordering(self): var1 = Interval(0, 15) var2 = var1.move(5) assert var1 < var2 assert var1 != var2 var2 = var1.move(-5) assert var1 > var2 assert var1 != var2 var2 = Interval(0, 5) assert var1 > var2 assert var1 != var2 var2 = Interval(0, 20) assert var1 < var2 assert var1 != var2 var2 = Interval(0, 15) assert var1 == var2 assert tuple(var1) == tuple(var2) assert not var1 < var2 assert not var1 > var2
def test_deep_copy(self): var1 = Interval(10, 150) var2 = copy.deepcopy(var1) var3 = copy.deepcopy(var1) assert var1 is not var2 and var1 is not var3 assert var1 == var2 and var1 == var3 assert var1 == var2 == var3 assert var2 is not var3 assert var2 == var3 assert var1 is not var2 and var1 is not var3 assert var1 == var2 and var1 == var3 assert var2 is not var3 assert var2 == var3
def test_deep_copy(self): var1 = Variable(Interval(10, 150)) var2 = copy.deepcopy(var1) var3 = copy.deepcopy(var1) assert var1 is not var2 and var1 is not var3 assert var1 == var2 and var1 == var3 assert var2 is not var3 assert var2 == var3 assert var1.value is not var2.value and var1.value is not var3.value assert var1.value == var2.value and var1.value == var3.value assert var2.value is not var3.value assert var2.value == var3.value assert hash(var1.value) == hash(var2.value) == hash(var3.value) assert hash(var1.value) is hash(var1.value) is hash(var3.value) assert hash(var1) != hash(var2) and hash(var1) != hash(var3) assert hash(var2) != hash(var3)
def test_zero_in(self): inter1 = Interval(-6, 2) assert inter1.zero_in inter1 = Interval(0, 2) assert inter1.zero_in inter1 = Interval(-4, 0) assert inter1.zero_in inter1 = Interval(6, 10) assert not inter1.zero_in inter1 = Interval(-10, -3) assert not inter1.zero_in inter1 = Interval(float("-inf"), float("inf")) assert inter1.zero_in
def test_between(self): v0 = Interval(0, 10) v1 = Interval(7, 15) v2 = Interval(4, 10) nw = ConstraintNetwork() nw.set_between(v0, v1, v2) nw.minimize_network() assert v0 <= v1 <= v2 v0 = Interval(0, 10) v1 = Interval(7, 15) v2 = Interval(4, 10) nw = ConstraintNetwork() nw.set_between(v2, v1, v0) nw.minimize_network() assert v2 <= v1 <= v0
def test_overlapm(self): inter1 = Interval(0, 10) inter2 = Interval(15, 20) assert not inter1.overlapm(inter2) assert not inter2.overlapm(inter1) assert inter1.overlapm(inter1) assert inter2.overlapm(inter2) inter2 = Interval(-6, 0) assert inter1.overlapm(inter2) assert inter2.overlapm(inter1) inter2 = Interval(-6, 5) assert inter1.overlapm(inter2) assert inter2.overlapm(inter1) inter2 = Interval(10, 15) assert inter1.overlapm(inter2) assert inter2.overlapm(inter1) inter2 = Interval(4, 15) assert inter1.overlapm(inter2) assert inter2.overlapm(inter1)
def test_empty(self): inter = Interval(1, 1) assert inter.empty inter = Interval(-1, 1) assert not inter.empty
def test_properties(self): inter = Interval(0, 15) var = Variable(inter) assert var.start == 0 assert var.end == 15
def test_add_constraint(self): # Known example assertion (Detcher STP example in TCN paper) v0, v1, v2, v3, v4 = [Interval(-np.inf, np.inf) for _ in range(5)] v0.set(0, 0) nw = ConstraintNetwork() nw.add_constraint(v0, v1, Interval(10, 20)) nw.add_constraint(v1, v2, Interval(30, 40)) nw.add_constraint(v3, v2, Interval(10, 20)) nw.add_constraint(v3, v4, Interval(40, 50)) nw.add_constraint(v0, v4, Interval(60, 70)) nw.minimize_network() assert v0 == Interval(0, 0) assert v1 == Interval(10, 20) assert v2 == Interval(40, 50) assert v3 == Interval(20, 30) assert v4 == Interval(60, 70) assert tuple(v0) == (0, 0) assert tuple(v1) == (10, 20) assert tuple(v2) == (40, 50) assert tuple(v3) == (20, 30) assert tuple(v4) == (60, 70) # Testing if a stricker constraint is applied v0, v1, v2, v3, v4 = [Interval(-np.inf, np.inf) for _ in range(5)] v0.set(0, 0) nw = ConstraintNetwork() nw.add_constraint(v0, v1, Interval(10, 20)) nw.add_constraint(v1, v2, Interval(30, 40)) nw.add_constraint(v3, v2, Interval(10, 20)) nw.add_constraint(v3, v4, Interval(40, 50)) nw.add_constraint(v0, v4, Interval(60, 70)) nw.add_constraint(v0, v1, Interval(10, 15)) nw.add_constraint(v1, v2, Interval(30, 35)) nw.add_constraint(v3, v2, Interval(10, 15)) nw.add_constraint(v3, v4, Interval(40, 45)) nw.add_constraint(v0, v4, Interval(60, 65)) nw.minimize_network() assert v0 == Interval(0, 0) assert v1 == Interval(10, 10) assert v2 == Interval(40, 40) assert v3 == Interval(25, 25) assert v4 == Interval(65, 65)
def test_add_constraint(self): # Known example assertion (Detcher STP example in TCN paper) v0, v1, v2, v3, v4 = [Variable() for _ in range(5)] v0.value = Interval(0, 0) nw = ConstraintNetwork() nw.add_constraint(v0, v1, Interval(10, 20)) nw.add_constraint(v1, v2, Interval(30, 40)) nw.add_constraint(v3, v2, Interval(10, 20)) nw.add_constraint(v3, v4, Interval(40, 50)) nw.add_constraint(v0, v4, Interval(60, 70)) nw.minimize_network() assert v0.value == Interval(0, 0) assert v1.value == Interval(10, 20) assert v2.value == Interval(40, 50) assert v3.value == Interval(20, 30) assert v4.value == Interval(60, 70) # Testing if a stricker constraint is applied v0, v1, v2, v3, v4 = [Variable() for _ in range(5)] v0.value = Interval(0, 0) nw = ConstraintNetwork() nw.add_constraint(v0, v1, Interval(10, 20)) nw.add_constraint(v1, v2, Interval(30, 40)) nw.add_constraint(v3, v2, Interval(10, 20)) nw.add_constraint(v3, v4, Interval(40, 50)) nw.add_constraint(v0, v4, Interval(60, 70)) nw.add_constraint(v0, v1, Interval(10, 15)) nw.add_constraint(v1, v2, Interval(30, 35)) nw.add_constraint(v3, v2, Interval(10, 15)) nw.add_constraint(v3, v4, Interval(40, 45)) nw.add_constraint(v0, v4, Interval(60, 65)) nw.minimize_network() assert v0.value == Interval(0, 0) assert v1.value == Interval(10, 10) assert v2.value == Interval(40, 40) assert v3.value == Interval(25, 25) assert v4.value == Interval(65, 65)
def test_contains(self): inter = Interval(0, 100) x = list(range(101)) assert all([k in inter for k in x])
def test_basic_properties(self): inter = Interval(-1, 1) assert inter.start == -1 assert inter.end == 1 assert inter.length == 2
def test_properties(self): var = Interval(0, 15) assert var.start == 0 assert var.end == 15
def test_ordering(self): inter1 = Interval(0, 10) inter2 = Interval(10, 15) assert inter1 < inter2 assert not inter1 > inter2 assert inter1 != inter2 inter2 = Interval(0, 10) assert inter1 == inter2 assert not inter1 < inter2 assert not inter1 > inter2 inter2 = Interval(0, 5) assert inter1 > inter2 assert inter1 != inter2 assert not inter1 < inter2 inter2 = Interval(0, 15) assert inter1 < inter2 assert inter1 != inter2 assert tuple(inter1) != tuple(inter2) assert not inter1 > inter2 inter2 = Interval(-5, 10) assert inter1 > inter2 assert not inter1 < inter2 assert inter1 != inter2 inter2 = Interval(5, 10) assert inter1 < inter2 assert not inter1 > inter2 assert inter1 != inter2 inter2 = Interval(-5, 6) assert inter1 > inter2 assert not inter1 < inter2 assert inter1 != inter2 inter2 = Interval(5, 6) assert inter1 < inter2 assert not inter1 > inter2 assert inter1 != inter2 inter2 = Interval(-5, 15) assert inter1 > inter2 assert not inter1 < inter2 assert inter1 != inter2 inter2 = Interval(5, 15) assert inter1 < inter2 assert not inter1 > inter2 assert inter1 != inter2 inter2 = None assert not inter1 < inter2 assert inter1 != inter2
def test_singleton(self): inter = Interval(0, 1) assert inter.singleton inter = Interval(1, 3) assert not inter.singleton
def set_knowledge_base(knowledge): """ Sets the knowledge base to be used in the interpretation, and updates the necessary global variables. """ global KNOWLEDGE, _OBSERVABLES, _ABDUCIBLES, _LMAP, _EXCLUSION KNOWLEDGE = knowledge #First, we check the consistency of every single abstraction pattern for p in KNOWLEDGE: #In the Environment and Abstracted sets no repeated types can happen. for qset in (p.abstracted, p.environment): for q in qset: #The only coincidence must be q assert len(set(q.mro()) & qset) == 1 #There should be no subclass relations between hyp. and abstractions for q in p.abstracted: assert not p.Hypothesis in q.mro() assert not set(p.Hypothesis.mro()) & p.abstracted #The abstraction transitions must be properly set. for q in p.abstractions: assert q in p.abstracted for tr in p.abstractions[q]: assert tr.observable is q assert tr.abstracted is ABSTRACTED assert tr in p.transitions #Organization of all the observables in abstraction levels. _OBSERVABLES = set.union(*(({p.Hypothesis} | p.abstracted | p.environment) for p in KNOWLEDGE)) _ABDUCIBLES = tuple(set.union(*(p.abstracted for p in KNOWLEDGE))) #To perform the level assignment, we use a constraint network. _CNET = ConstraintNetwork() #Mapping from observable types to abstraction levels. _LMAP = {} for q in _OBSERVABLES: _LMAP[q] = Variable(value=Interval(0, numpy.inf)) #We set the restrictions, and minimize the network #All subclasses must have the same level than the superclasses for q in _OBSERVABLES: for sup in (set(q.mro()) & _OBSERVABLES) - {q}: _CNET.set_equal(_LMAP[q], _LMAP[sup]) #Abstractions force a level increasing for p in KNOWLEDGE: for qabs in p.abstracted: _CNET.add_constraint(_LMAP[qabs], _LMAP[p.Hypothesis], Interval(1, numpy.inf)) #Network minimization _CNET.minimize_network() #Now we assign to each observable the minimum of the solutions interval. for q in _OBSERVABLES: _LMAP[q] = int(_LMAP[q].start) #Manual definition of the exclusion relation between observables. _EXCLUSION = { Deflection: (Deflection, ), QRS: (QRS, ), TWave: (TWave, ), PWave: (PWave, ), CardiacCycle: (CardiacCycle, ), Cardiac_Rhythm: (Cardiac_Rhythm, ) } #Automatic expansion of the exclusion relation. for q, qexc in _EXCLUSION.iteritems(): _EXCLUSION[q] = tuple( (q2 for q2 in _OBSERVABLES if issubclass(q2, qexc))) for q in sorted(_OBSERVABLES, key=_LMAP.get, reverse=True): _EXCLUSION[q] = tuple( set.union(*(set(_EXCLUSION[q2]) for q2 in _EXCLUSION if issubclass(q, q2))))