def fun_scenario6():
"""
Scenario 6
----------
ERLANG CODE
-spec f6(any()) -> any().
f6(X) when is_function(X, 1) -> f6(X(42));
f6(X) when X =/= 42 -> X.
TRACE (with 3 fun applications)
is_fun(f, 1)
t1 = f(42)
t2 = t1(42)
t3 = t2(42)
"""
erl = Erlang()
T, L, fmap, arity = erl.Term, erl.List, erl.fmap, erl.arity
# Create the model
slv = Solver()
f, t1, t2 = Consts('f, t1, t2', T)
slv.add([
# 1st step.
T.is_fun(f),
arity( T.fval(f) ) == 1,
fmap( T.fval(f) )[ L.cons(T.int(42), L.nil) ] == t1,
# 2nd step.
T.is_fun(t1),
arity( T.fval(t1) ) == 1,
fmap( T.fval(t1) )[ L.cons(T.int(42), L.nil) ] == t2,
# 3rd step.
T.is_fun(t2),
arity( T.fval(t2) ) == 1,
fmap( T.fval(t2) )[ L.cons(T.int(42), L.nil) ] == T.int(42),
])
# Solve the model
chk = slv.check()
assert chk == sat, "Model in unsatisfiable"
m = slv.model()
encoder = TermEncoder(erl, m, fmap, arity)
f_sol = encoder.encode(m[f])
# Create the result
t2_exp = cc.mk_fun(1, [
cc.mk_fun_entry([cc.mk_int(42)], cc.mk_int(42))
], cc.mk_int(42))
t1_exp = cc.mk_fun(1, [
cc.mk_fun_entry([cc.mk_int(42)], t2_exp)
], t2_exp)
f_exp = cc.mk_fun(1, [
cc.mk_fun_entry([cc.mk_int(42)], t1_exp)
], t1_exp)
compare_solutions(f_exp, f_sol)
def fun_scenario6():
"""
Scenario 6
----------
ERLANG CODE
-spec f6(any()) -> any().
f6(X) when is_function(X, 1) -> f6(X(42));
f6(X) when X =/= 42 -> X.
TRACE (with 3 fun applications)
is_fun(f, 1)
t1 = f(42)
t2 = t1(42)
t3 = t2(42)
"""
erl = Erlang()
T, L, fmap, arity = erl.Term, erl.List, erl.fmap, erl.arity
# Create the model
slv = Solver()
f, t1, t2 = Consts('f, t1, t2', T)
slv.add([
# 1st step.
T.is_fun(f),
arity( T.fval(f) ) == 1,
fmap( T.fval(f) )[ L.cons(T.int(42), L.nil) ] == t1,
# 2nd step.
T.is_fun(t1),
arity( T.fval(t1) ) == 1,
fmap( T.fval(t1) )[ L.cons(T.int(42), L.nil) ] == t2,
# 3rd step.
T.is_fun(t2),
arity( T.fval(t2) ) == 1,
fmap( T.fval(t2) )[ L.cons(T.int(42), L.nil) ] == T.int(42),
])
# Solve the model
chk = slv.check()
assert chk == sat, "Model in unsatisfiable"
m = slv.model()
encoder = TermEncoder(erl, m, fmap, arity)
f_sol = encoder.encode(m[f])
# Create the result
t2_exp = cc.mk_fun(1, [
cc.mk_fun_entry([cc.mk_int(42)], cc.mk_int(42))
], cc.mk_int(42))
t1_exp = cc.mk_fun(1, [
cc.mk_fun_entry([cc.mk_int(42)], t2_exp)
], t2_exp)
f_exp = cc.mk_fun(1, [
cc.mk_fun_entry([cc.mk_int(42)], t1_exp)
], t1_exp)
compare_solutions(f_exp, f_sol)
def fun_scenario4():
"""
Scenario 4
----------
ERLANG CODE
-spec f4(fun((integer()) -> integer()), integer(), integer()) -> ok.
f4(F, X, Y) ->
Z = F(X),
case Z(Y) of
42 -> error(bug);
_ -> ok
end.
TRACE
is_int(x)
is_int(y)
is_fun(f, 1)
t1 = f(x)
t1(y) = 42
"""
erl = Erlang()
T, L, fmap, arity = erl.Term, erl.List, erl.fmap, erl.arity
# Create the model
slv = Solver()
x, y, f, t1 = Consts('x, y, f, t1', T)
slv.add([
T.is_int(x),
T.is_int(y),
T.is_fun(f),
arity( T.fval(f) ) == 1,
fmap( T.fval(f) )[ L.cons(x, L.nil) ] == t1,
T.is_fun(t1),
arity( T.fval(t1) ) == 1,
fmap( T.fval(t1) )[ L.cons(y, L.nil) ] == T.int(42),
])
# Solve the model
chk = slv.check()
assert chk == sat, "Model in unsatisfiable"
m = slv.model()
encoder = TermEncoder(erl, m, fmap, arity)
x_sol, y_sol, f_sol = [encoder.encode(m[v]) for v in [x, y, f]]
# Create the result
t1_exp = cc.mk_fun(1, [
cc.mk_fun_entry([y_sol], cc.mk_int(42))
], cc.mk_int(42))
f_exp = cc.mk_fun(1, [
cc.mk_fun_entry([x_sol], t1_exp)
], t1_exp)
compare_solutions(f_exp, f_sol)
def fun_scenario4():
"""
Scenario 4
----------
ERLANG CODE
-spec f4(fun((integer()) -> integer()), integer(), integer()) -> ok.
f4(F, X, Y) ->
Z = F(X),
case Z(Y) of
42 -> error(bug);
_ -> ok
end.
TRACE
is_int(x)
is_int(y)
is_fun(f, 1)
t1 = f(x)
t1(y) = 42
"""
erl = Erlang()
T, L, fmap, arity = erl.Term, erl.List, erl.fmap, erl.arity
# Create the model
slv = Solver()
x, y, f, t1 = Consts('x, y, f, t1', T)
slv.add([
T.is_int(x),
T.is_int(y),
T.is_fun(f),
arity( T.fval(f) ) == 1,
fmap( T.fval(f) )[ L.cons(x, L.nil) ] == t1,
T.is_fun(t1),
arity( T.fval(t1) ) == 1,
fmap( T.fval(t1) )[ L.cons(y, L.nil) ] == T.int(42),
])
# Solve the model
chk = slv.check()
assert chk == sat, "Model in unsatisfiable"
m = slv.model()
encoder = TermEncoder(erl, m, fmap, arity)
x_sol, y_sol, f_sol = [encoder.encode(m[v]) for v in [x, y, f]]
# Create the result
t1_exp = cc.mk_fun(1, [
cc.mk_fun_entry([y_sol], cc.mk_int(42))
], cc.mk_int(42))
f_exp = cc.mk_fun(1, [
cc.mk_fun_entry([x_sol], t1_exp)
], t1_exp)
compare_solutions(f_exp, f_sol)
def fun_scenario7():
"""
Scenario 7
----------
ERLANG CODE
-spec f7(fun((integer(), integer()) -> integer()), [integer()]) -> integer().
f7(F, L) when is_function(F, 2) ->
case lists:foldl(F, 0, L) of
42 -> error(bug);
R -> R
end.
TRACE
is_fun(f, 2)
is_lst(l)
l = [h1 | l1]
t1 = f(h1, 0)
l1 = [h2 | l2]
l2 = []
f(h2, t1) = 42
"""
erl = Erlang()
T, L, fmap, arity = erl.Term, erl.List, erl.fmap, erl.arity
# Create the model
slv = Solver()
f, l, h1, l1, h2, l2, t1, t2 = Consts('f, l, h1, l1, h2, l2, t1, t2', T)
slv.add([
# Init
T.is_fun(f),
arity( T.fval(f) ) == 2,
T.is_lst(l),
# 1st element
L.is_cons( T.lval(l) ),
h1 == L.hd( T.lval(l) ),
T.is_int(h1),
l1 == T.lst( L.tl( T.lval(l) ) ),
t1 == fmap( T.fval(f) )[ L.cons(h1, L.cons(T.int(0), L.nil)) ],
T.is_int(t1),
# 2nd element
L.is_cons( T.lval(l1) ),
h2 == L.hd( T.lval(l1) ),
T.is_int(h2),
l2 == T.lst( L.tl( T.lval(l1) ) ),
t2 == fmap( T.fval(f) )[ L.cons(h2, L.cons(t1, L.nil)) ],
# Result
L.is_nil( T.lval(l2) ),
t2 == T.int(42)
])
# Solve the model
chk = slv.check()
assert chk == sat, "Model in unsatisfiable"
m = slv.model()
encoder = TermEncoder(erl, m, fmap, arity)
l_sol, f_sol = [encoder.encode(m[v]) for v in [l, f]]
# Create the result
f_exp = cc.mk_fun(2, [
cc.mk_fun_entry([l_sol.subterms[1], cc.mk_int(4)], cc.mk_int(42)),
cc.mk_fun_entry([l_sol.subterms[0], cc.mk_int(0)], cc.mk_int(4))
], cc.mk_int(42))
compare_solutions(f_exp, f_sol)
def fun_scenario7():
"""
Scenario 7
----------
ERLANG CODE
-spec f7(fun((integer(), integer()) -> integer()), [integer()]) -> integer().
f7(F, L) when is_function(F, 2) ->
case lists:foldl(F, 0, L) of
42 -> error(bug);
R -> R
end.
TRACE
is_fun(f, 2)
is_lst(l)
l = [h1 | l1]
t1 = f(h1, 0)
l1 = [h2 | l2]
l2 = []
f(h2, t1) = 42
"""
erl = Erlang()
T, L, fmap, arity = erl.Term, erl.List, erl.fmap, erl.arity
# Create the model
slv = Solver()
f, l, h1, l1, h2, l2, t1, t2 = Consts('f, l, h1, l1, h2, l2, t1, t2', T)
slv.add([
# Init
T.is_fun(f),
arity( T.fval(f) ) == 2,
T.is_lst(l),
# 1st element
L.is_cons( T.lval(l) ),
h1 == L.hd( T.lval(l) ),
T.is_int(h1),
l1 == T.lst( L.tl( T.lval(l) ) ),
t1 == fmap( T.fval(f) )[ L.cons(h1, L.cons(T.int(0), L.nil)) ],
T.is_int(t1),
# 2nd element
L.is_cons( T.lval(l1) ),
h2 == L.hd( T.lval(l1) ),
T.is_int(h2),
l2 == T.lst( L.tl( T.lval(l1) ) ),
t2 == fmap( T.fval(f) )[ L.cons(h2, L.cons(t1, L.nil)) ],
# Result
L.is_nil( T.lval(l2) ),
t2 == T.int(42)
])
# Solve the model
chk = slv.check()
assert chk == sat, "Model in unsatisfiable"
m = slv.model()
encoder = TermEncoder(erl, m, fmap, arity)
l_sol, f_sol = [encoder.encode(m[v]) for v in [l, f]]
# Create the result
f_exp = cc.mk_fun(2, [
cc.mk_fun_entry([l_sol.subterms[0], cc.mk_int(0)], cc.mk_int(4)),
cc.mk_fun_entry([l_sol.subterms[1], cc.mk_int(4)], cc.mk_int(42))
], cc.mk_int(4))
compare_solutions(f_exp, f_sol)
def fun_scenario3():
"""
Scenario 3
----------
ERLANG CODE
-spec f3(fun((integer()) -> integer()), integer(), integer()) -> ok.
f3(F, X, Y) ->
case double(F, X) of
42 ->
case double(F, Y) of
17 -> error(bug);
_ -> ok
end;
_ -> ok
end.
TRACE
is_int(x)
is_int(y)
is_fun(f, 1)
t1 = f(x)
f(t1) = 42
t2 = f(y)
f(t2) = 17
"""
erl = Erlang()
T, L, fmap, arity = erl.Term, erl.List, erl.fmap, erl.arity
# Create the model
slv = Solver()
x, y, f, t1, t2 = Consts('x, y, f, t1, t2', T)
slv.add([
T.is_int(x),
T.is_int(y),
T.is_fun(f),
arity( T.fval(f) ) == 1,
T.is_int(t1),
T.is_int(t2),
fmap( T.fval(f) )[ L.cons(x, L.nil) ] == t1,
fmap( T.fval(f) )[ L.cons(t1, L.nil) ] == T.int(42),
fmap( T.fval(f) )[ L.cons(y, L.nil) ] == t2,
fmap( T.fval(f) )[ L.cons(t2, L.nil) ] == T.int(17)
])
# Solve the model
chk = slv.check()
assert chk == sat, "Model in unsatisfiable"
m = slv.model()
encoder = TermEncoder(erl, m, fmap, arity)
x_sol, y_sol, f_sol = [encoder.encode(m[v]) for v in [x, y, f]]
# Create the result
f_exp = cc.mk_fun(1, [
cc.mk_fun_entry([cc.mk_int(5)], cc.mk_int(17)),
cc.mk_fun_entry([cc.mk_int(4)], cc.mk_int(42)),
cc.mk_fun_entry([y_sol], cc.mk_int(5)),
cc.mk_fun_entry([x_sol], cc.mk_int(4))
], cc.mk_int(17))
compare_solutions(f_exp, f_sol)
def fun_scenario3():
"""
Scenario 3
----------
ERLANG CODE
-spec f3(fun((integer()) -> integer()), integer(), integer()) -> ok.
f3(F, X, Y) ->
case double(F, X) of
42 ->
case double(F, Y) of
17 -> error(bug);
_ -> ok
end;
_ -> ok
end.
TRACE
is_int(x)
is_int(y)
is_fun(f, 1)
t1 = f(x)
f(t1) = 42
t2 = f(y)
f(t2) = 17
"""
erl = Erlang()
T, L, fmap, arity = erl.Term, erl.List, erl.fmap, erl.arity
# Create the model
slv = Solver()
x, y, f, t1, t2 = Consts('x, y, f, t1, t2', T)
slv.add([
T.is_int(x),
T.is_int(y),
T.is_fun(f),
arity( T.fval(f) ) == 1,
T.is_int(t1),
T.is_int(t2),
fmap( T.fval(f) )[ L.cons(x, L.nil) ] == t1,
fmap( T.fval(f) )[ L.cons(t1, L.nil) ] == T.int(42),
fmap( T.fval(f) )[ L.cons(y, L.nil) ] == t2,
fmap( T.fval(f) )[ L.cons(t2, L.nil) ] == T.int(17)
])
# Solve the model
chk = slv.check()
assert chk == sat, "Model in unsatisfiable"
m = slv.model()
encoder = TermEncoder(erl, m, fmap, arity)
x_sol, y_sol, f_sol = [encoder.encode(m[v]) for v in [x, y, f]]
# Create the result
f_exp = cc.mk_fun(1, [
cc.mk_fun_entry([x_sol], cc.mk_int(4)),
cc.mk_fun_entry([cc.mk_int(5)], cc.mk_int(17)),
cc.mk_fun_entry([cc.mk_int(4)], cc.mk_int(42)),
cc.mk_fun_entry([y_sol], cc.mk_int(5))
], cc.mk_int(4))
compare_solutions(f_exp, f_sol)
def fun_scenario8():
"""
Scenario 8
----------
ERLANG CODE
-spec f8(fun((integer()) -> integer()), [integer()]) -> integer().
f8(F, L) when is_function(F, 1) ->
L1 = lists:filter(F, L),
hd(L1).
TRACE
is_fun(f, 1)
is_lst(l)
l = [h1 | l1]
f(h1) = false
l1 = [h2 | l2]
f(h2) = false
l2 = []
"""
erl = Erlang()
T, L, fmap, arity, atmFalse = erl.Term, erl.List, erl.fmap, erl.arity, erl.atmFalse
# Create the model
slv = Solver()
f, l, h1, l1, h2, l2 = Consts('f, l, h1, l1, h2, l2', T)
slv.add([
# Init
T.is_fun(f),
arity( T.fval(f) ) == 1,
T.is_lst(l),
# 1st element
L.is_cons( T.lval(l) ),
h1 == L.hd( T.lval(l) ),
l1 == T.lst( L.tl( T.lval(l) ) ),
atmFalse == fmap( T.fval(f) )[ L.cons(h1, L.nil) ],
# 2nd element
L.is_cons( T.lval(l1) ),
h2 == L.hd( T.lval(l1) ),
l2 == T.lst( L.tl( T.lval(l1) ) ),
atmFalse == fmap( T.fval(f) )[ L.cons(h2, L.nil) ],
# Result
L.is_nil( T.lval(l2) )
])
# Solve the model
chk = slv.check()
assert chk == sat, "Model in unsatisfiable"
m = slv.model()
encoder = TermEncoder(erl, m, fmap, arity)
l_sol, f_sol = [encoder.encode(m[v]) for v in [l, f]]
# Create the result
f_exp = cc.mk_fun(1, [
cc.mk_fun_entry([l_sol.subterms[1]], encoder.encode(atmFalse)),
cc.mk_fun_entry([l_sol.subterms[0]], encoder.encode(atmFalse))
], encoder.encode(atmFalse))
compare_solutions(f_exp, f_sol)
def fun_scenario8():
"""
Scenario 8
----------
ERLANG CODE
-spec f8(fun((integer()) -> integer()), [integer()]) -> integer().
f8(F, L) when is_function(F, 1) ->
L1 = lists:filter(F, L),
hd(L1).
TRACE
is_fun(f, 1)
is_lst(l)
l = [h1 | l1]
f(h1) = false
l1 = [h2 | l2]
f(h2) = false
l2 = []
"""
erl = Erlang()
T, L, fmap, arity, atmFalse = erl.Term, erl.List, erl.fmap, erl.arity, erl.atmFalse
# Create the model
slv = Solver()
f, l, h1, l1, h2, l2 = Consts('f, l, h1, l1, h2, l2', T)
slv.add([
# Init
T.is_fun(f),
arity( T.fval(f) ) == 1,
T.is_lst(l),
# 1st element
L.is_cons( T.lval(l) ),
h1 == L.hd( T.lval(l) ),
l1 == T.lst( L.tl( T.lval(l) ) ),
atmFalse == fmap( T.fval(f) )[ L.cons(h1, L.nil) ],
# 2nd element
L.is_cons( T.lval(l1) ),
h2 == L.hd( T.lval(l1) ),
l2 == T.lst( L.tl( T.lval(l1) ) ),
atmFalse == fmap( T.fval(f) )[ L.cons(h2, L.nil) ],
# Result
L.is_nil( T.lval(l2) )
])
# Solve the model
chk = slv.check()
assert chk == sat, "Model in unsatisfiable"
m = slv.model()
encoder = TermEncoder(erl, m, fmap, arity)
l_sol, f_sol = [encoder.encode(m[v]) for v in [l, f]]
# Create the result
f_exp = cc.mk_fun(1, [
cc.mk_fun_entry([l_sol.subterms[0]], encoder.encode(atmFalse)),
cc.mk_fun_entry([l_sol.subterms[1]], encoder.encode(atmFalse))
], encoder.encode(atmFalse))
compare_solutions(f_exp, f_sol)
def fun_scenario5():
"""
Scenario 5
----------
ERLANG CODE
-spec f5(fun((integer()) -> integer()), integer(), integer(), integer()) -> ok.
f5(F, X, Y, Z) ->
case F(X, Y, Z) of
42 ->
case F(Z, Y, X) of
17 -> error(bug);
_ -> ok
end;
_ -> ok
end.
TRACE
is_int(x)
is_int(y)
is_int(z)
is_fun(f, 3)
f(x, y, z) = 42
f(z, y, x) = 17
"""
erl = Erlang()
T, L, fmap, arity = erl.Term, erl.List, erl.fmap, erl.arity
# Create the model
slv = Solver()
x, y, z, f = Consts('x, y, z, f', T)
slv.add([
T.is_int(x),
T.is_int(y),
T.is_int(z),
T.is_fun(f),
arity( T.fval(f) ) == 3,
fmap( T.fval(f) )[ L.cons(x, L.cons(y, L.cons(z, L.nil))) ] == T.int(42),
fmap( T.fval(f) )[ L.cons(z, L.cons(y, L.cons(x, L.nil))) ] == T.int(17),
])
# Solve the model
chk = slv.check()
assert chk == sat, "Model in unsatisfiable"
m = slv.model()
encoder = TermEncoder(erl, m, fmap, arity)
x_sol, y_sol, z_sol, f_sol = [encoder.encode(m[v]) for v in [x, y, z, f]]
# Create the result
f_exp = cc.mk_fun(3, [
cc.mk_fun_entry([x_sol, y_sol, z_sol], cc.mk_int(42)),
cc.mk_fun_entry([z_sol, y_sol, x_sol], cc.mk_int(17))
], cc.mk_int(42))
compare_solutions(f_exp, f_sol)
def fun_scenario5():
"""
Scenario 5
----------
ERLANG CODE
-spec f5(fun((integer()) -> integer()), integer(), integer(), integer()) -> ok.
f5(F, X, Y, Z) ->
case F(X, Y, Z) of
42 ->
case F(Z, Y, X) of
17 -> error(bug);
_ -> ok
end;
_ -> ok
end.
TRACE
is_int(x)
is_int(y)
is_int(z)
is_fun(f, 3)
f(x, y, z) = 42
f(z, y, x) = 17
"""
erl = Erlang()
T, L, fmap, arity = erl.Term, erl.List, erl.fmap, erl.arity
# Create the model
slv = Solver()
x, y, z, f = Consts('x, y, z, f', T)
slv.add([
T.is_int(x),
T.is_int(y),
T.is_int(z),
T.is_fun(f),
arity( T.fval(f) ) == 3,
fmap( T.fval(f) )[ L.cons(x, L.cons(y, L.cons(z, L.nil))) ] == T.int(42),
fmap( T.fval(f) )[ L.cons(z, L.cons(y, L.cons(x, L.nil))) ] == T.int(17),
])
# Solve the model
chk = slv.check()
assert chk == sat, "Model in unsatisfiable"
m = slv.model()
encoder = TermEncoder(erl, m, fmap, arity)
x_sol, y_sol, z_sol, f_sol = [encoder.encode(m[v]) for v in [x, y, z, f]]
# Create the result
f_exp = cc.mk_fun(3, [
cc.mk_fun_entry([z_sol, y_sol, x_sol], cc.mk_int(17)),
cc.mk_fun_entry([x_sol, y_sol, z_sol], cc.mk_int(42))
], cc.mk_int(17))
compare_solutions(f_exp, f_sol)
def fun_scenario1():
"""
Scenario 1
----------
ERLANG CODE
-spec f1(fun((integer()) -> integer())) -> ok.
f1(F) ->
case F(3) of
42 ->
case F(10) of
17 -> error(bug);
_ -> ok
end;
_ -> ok
end.
TRACE
is_fun(f, 1)
f(3) = 42
f(10) = 17
"""
erl = Erlang()
T, L, fmap, arity = erl.Term, erl.List, erl.fmap, erl.arity
# Create the model
slv = Solver()
f = Const('f', T)
slv.add([
T.is_fun(f),
arity( T.fval(f) ) == 1,
fmap( T.fval(f) )[ L.cons(T.int(3), L.nil) ] == T.int(42),
fmap( T.fval(f) )[ L.cons(T.int(10), L.nil) ] == T.int(17)
])
# Solve the model
chk = slv.check()
assert chk == sat, "Model in unsatisfiable"
m = slv.model()
encoder = TermEncoder(erl, m, fmap, arity)
f_sol = encoder.encode(m[f])
# Create the result
f_exp = cc.mk_fun(1, [
cc.mk_fun_entry([cc.mk_int(3)], cc.mk_int(42)),
cc.mk_fun_entry([cc.mk_int(10)], cc.mk_int(17)),
], cc.mk_int(42))
compare_solutions(f_exp, f_sol)
def fun_scenario1():
"""
Scenario 1
----------
ERLANG CODE
-spec f1(fun((integer()) -> integer())) -> ok.
f1(F) ->
case F(3) of
42 ->
case F(10) of
17 -> error(bug);
_ -> ok
end;
_ -> ok
end.
TRACE
is_fun(f, 1)
f(3) = 42
f(10) = 17
"""
erl = Erlang()
T, L, fmap, arity = erl.Term, erl.List, erl.fmap, erl.arity
# Create the model
slv = Solver()
f = Const('f', T)
slv.add([
T.is_fun(f),
arity( T.fval(f) ) == 1,
fmap( T.fval(f) )[ L.cons(T.int(3), L.nil) ] == T.int(42),
fmap( T.fval(f) )[ L.cons(T.int(10), L.nil) ] == T.int(17)
])
# Solve the model
chk = slv.check()
assert chk == sat, "Model in unsatisfiable"
m = slv.model()
encoder = TermEncoder(erl, m, fmap, arity)
f_sol = encoder.encode(m[f])
# Create the result
f_exp = cc.mk_fun(1, [
cc.mk_fun_entry([cc.mk_int(3)], cc.mk_int(42)),
cc.mk_fun_entry([cc.mk_int(10)], cc.mk_int(17)),
], cc.mk_int(42))
compare_solutions(f_exp, f_sol)
def toFun(self, n):
idx = simplify(n).as_long()
# In case the solver randomly select a solution to be a fun
# without fmap existing in the model
arity = self.arity[idx]
if self.fmap is None or self.fmap[idx] is None:
return self.defaultFun(arity)
defn = self.getArrayDecl(self.fmap[idx], self.erl.List).as_list()
# Also prune keys with the wrong arity (mainly to genericFun specs adding an Exists axiom)
kvs = [self.encodeKVPair(args, val) for [args, val] in defn[0:-1] if self.getActualArity(args) == arity]
if len(kvs) == 0:
default = self.encodeDefault(defn[-1])
return cc.mk_const_fun(arity, default)
else:
default = cc.get_value_from_fun_entry(kvs[0])
# Do not add the arity.
# It will be deducted from the number of the arguments of the
# first input.
# return {"t": cc.JSON_TYPE_FUN, "v": kvs, "x": arity}
return cc.mk_fun(arity, kvs, default)
def toFun(self, n):
idx = simplify(n).as_long()
# In case the solver randomly select a solution to be a fun
# without fmap existing in the model
arity = self.arity[idx]
if self.fmap is None or self.fmap[idx] is None:
return self.defaultFun(arity)
defn = self.getArrayDecl(self.fmap[idx], self.erl.List).as_list()
# Also prune keys with the wrong arity (mainly to genericFun specs adding an Exists axiom)
kvs = [self.encodeKVPair(args, val) for [args, val] in defn[0:-1] if self.getActualArity(args) == arity]
if len(kvs) == 0:
default = self.encodeDefault(defn[-1])
return cc.mk_const_fun(arity, default)
else:
default = cc.get_value_from_fun_entry(kvs[0])
# Do not add the arity.
# It will be deducted from the number of the arguments of the
# first input.
# return {"t": cc.JSON_TYPE_FUN, "v": kvs, "x": arity}
return cc.mk_fun(arity, kvs, default)
def encode(self, data, funs=[]):
# TODO description
if data[0] == "int":
return cc.mk_int(parse_int(data[1]))
elif data[0] == "real":
return cc.mk_float(parse_real(data[1]))
elif data[0] == "atom":
node = data[1]
v = []
while node != "in":
v.append(parse_int(node[1]))
node = node[2]
return cc.mk_atom(v)
elif data[0] == "list":
node = data[1]
v = []
while node != "tn":
v.append(self.encode(node[1], funs))
node = node[2]
return cc.mk_list(v)
elif data[0] == "tuple":
node = data[1]
v = []
while node != "tn":
v.append(self.encode(node[1], funs))
node = node[2]
return cc.mk_tuple(v)
elif data[0] == "str":
node = data[1]
v = []
while node != "sn":
v.append(node[1] == "true")
node = node[2]
return cc.mk_bitstring(v)
elif data[0] == "fun":
# TODO function decoding and encoding
assert isinstance(data, list) and len(data) == 2
fv = parse_int(data[1])
# if a cycle (a function calling itself recursively) is found,
# it is obvious that the solver has selected an arbitrary term as a value
if fv in funs:
return cc.mk_any()
funs = funs[:]
funs.append(fv)
# get function info from solver
# TODO save function arity and entries to an array
val = self.solver.get_value(["fa", data[1]], ["fm", data[1]])
assert isinstance(val, list) and len(val) == 2
assert isinstance(val[0], list) and len(val[0]) == 2
arity = parse_int(expand_lets(val[0][1]))
# if arity is less than or greater than 255, we assume it is an arbitrary value selected by the solver
# because there is no constraint limiting the function's arity; thus, we set it to zero
if arity < 0 or arity > 255:
arity = 0
assert isinstance(val[1], list) and len(val[1]) == 2
node = expand_lets(val[1][1])
entries = []
otherwise = None
while node != "fn":
assert isinstance(node,
list) and len(node) == 4 and node[0] == "fc"
x = cc.get_list_subterms(self.encode(["list", node[1]], funs))
# keep only entries with argument length equal to arity
if len(x) == arity:
y = self.encode(node[2], funs)
if otherwise is None:
otherwise = y
else:
entries.append(cc.mk_fun_entry(x, y))
node = node[3]
if otherwise is None:
otherwise = cc.mk_any()
return cc.mk_fun(arity, entries, otherwise)
clg.debug_info("encoding failed: " + str(data))
assert False