def test_model_list_extensions():
lang = tarski.language(theories=[])
p = lang.predicate('p', lang.Object, lang.Object)
f = lang.function('f', lang.Object, lang.Object)
o1 = lang.constant("o1", lang.Object)
o2 = lang.constant("o2", lang.Object)
model = Model(lang)
model.evaluator = evaluate
model.set(f, o1, o2)
model.add(p, o1, o2)
extensions = model.list_all_extensions()
ext_f = extensions[f.signature]
ext_p = extensions[p.signature]
# We want to test that the `list_all_extensions` method correctly unwraps all TermReferences in the internal
# representation of the model and returns _only_ actual Tarski terms. Testing this is a bit involved, as of
# course we cannot just check for (o1, o2) in ext_f, because that will trigger the wrong __eq__ and __hash__
# methods - in other words, to test this we precisely need to wrap things back into TermReferences, so that we can
# compare them properly
assert len(ext_f) == 1 and len(ext_p) == 1
p, v = ext_f[0]
assert TermReference(p) == TermReference(o1) and TermReference(v) == TermReference(o2)
v1, v2 = ext_p[0]
assert TermReference(v1) == TermReference(o1) and TermReference(v2) == TermReference(o2)
def test_numeric_function_set():
lang = numeric.generate_numeric_instance()
lang.get_sort('particle')
p1 = lang.get_constant('p1')
x = lang.get_function('x')
model = tarski.model.create(lang)
model.set(x, p1, 1.0)
def test_blocksworld_set():
lang = blocksworld.generate_small_fstrips_bw_language()
model = Model(lang)
loc = lang.get_function('loc')
b1, table = (lang.get_constant(s) for s in ('b1', 'table'))
model.set(loc, b1, table)
assert evaluate(loc(b1), model) == table
def test_blocksworld_set_via_square_brackets():
lang = blocksworld.generate_small_fstrips_bw_language()
model = Model(lang)
model.evaluator = evaluate
loc = lang.get_function('loc')
b1, table = (lang.get_constant(s) for s in ('b1', 'table'))
model.set(loc, b1, table)
assert model[loc(b1)] == table
def test_numeric_rel_formula_evaluation():
lang = numeric.generate_numeric_instance()
p1 = lang.get_constant('p1')
p2 = lang.get_constant('p2')
x = lang.get_function('x')
model = tarski.model.create(lang)
model.evaluator = evaluate
model.set(x, p1, 1.0)
model.set(x, p2, 2.0)
assert model[x(p1) < x(p2)]
def test_numeric_builtin_addition():
lang = numeric.generate_numeric_instance()
p1 = lang.get_constant('p1')
x = lang.get_function('x')
model = tarski.model.create(lang)
model.evaluator = evaluate
model.set(x, p1, 1.0)
expr = model[x(p1) + 1.0]
assert isinstance(expr, Constant)
assert expr.symbol == 2.0
def test_numeric_builtin_addition_int():
lang = language(theories=[Theory.EQUALITY, Theory.ARITHMETIC])
# The sorts
particle = lang.sort('bowl')
eggs = lang.function('eggs', lang.Object, lang.Integer)
bowl_1 = lang.constant('bowl_1', particle)
model = tarski.model.create(lang)
model.evaluator = evaluate
model.set(eggs(bowl_1), 1)
expr = model[eggs(bowl_1) + 1]
assert isinstance(expr, Constant)
assert isinstance(expr.symbol, int)
assert expr.symbol == 2
def test_predicate_without_equality():
lang = tarski.language(theories=[])
leq = lang.predicate('leq', lang.Integer, lang.Integer)
f = lang.function('f', lang.Object, lang.Integer)
o1 = lang.constant("o1", lang.Object)
o2 = lang.constant("o2", lang.Object)
model = Model(lang)
model.evaluator = evaluate
model.set(f, o1, 1)
model.set(f, o2, 2)
for x in range(0, 5):
for y in range(x, 5):
model.add(leq, x, y)
assert model[leq(f(o1), f(o2))] is True
assert model[leq(f(o2), f(o1))] is False
def test_model_as_atoms():
lang = tarski.language(theories=[])
p = lang.predicate('p', lang.Object, lang.Object)
f = lang.function('f', lang.Object, lang.Object)
o1 = lang.constant("o1", lang.Object)
o2 = lang.constant("o2", lang.Object)
model = Model(lang)
model.evaluator = evaluate
model.set(f, o1, o2)
model.add(p, o1, o2)
atoms = model.as_atoms()
patom, fatom = atoms
assert patom.is_syntactically_equal(p(o1, o2))
term, value = fatom
assert term.is_syntactically_equal(
f(o1)) and value.is_syntactically_equal(o2)
def test_predicate_without_equality_reals():
import numpy
lang = tarski.language(theories=[Theory.ARITHMETIC])
leq = lang.predicate('leq', lang.Real, lang.Real)
w = lang.function('w', lang.Object, lang.Real)
o1 = lang.constant("o1", lang.Object)
o2 = lang.constant("o2", lang.Object)
model = Model(lang)
model.evaluator = evaluate
model.set(w(o1), 1.0)
model.set(w(o2), 2.0)
for x in numpy.arange(0.0, 5.0):
for y in numpy.arange(x, 5.0):
model.add(leq, x, y)
assert model[leq(w(o1), w(o2))] is True
assert model[leq(w(o2), w(o1))] is False
def test_ite():
lang = tarski.language('arith', [Theory.EQUALITY, Theory.ARITHMETIC])
c = lang.constant(1, lang.Integer)
x = lang.function('x', lang.Integer)
y = lang.function('y', lang.Integer)
phi = (x() <= y()) & (y() <= x())
t1 = x() + 2
t2 = y() + 3
tau = ite(phi, t1, t2)
model = Model(lang)
model.evaluator = evaluate
model.set(x(), 1)
model.set(y(), 2)
assert model[tau].symbol == 5