def test_pyll_list_tuple_nested():
x = as_partialplus([[5, 3, (5, 3)], (4, 5)])
y = as_pyll(x)
# rec_eval always uses tuple
val_y = rec_eval(y)
# Correct for tuple-only in rec_eval.
assert evaluate(x) == [list(val_y[0]), val_y[1]]
def test_dict():
x = as_partialplus({'x': partial(float,
partial(float,
partial(int, 3.3))) / 2,
'y': partial(float, 3)
})
y = as_pyll(x)
assert evaluate(x) == rec_eval(y)
def test_pyll_deeply_nested_func():
# N.B. uses stuff that isn't in the SymbolTable yet, must remove.
try:
def my_add(x, y):
return x + y
x = as_partialplus(
(partial(float, partial(my_add, 0, partial(int, 3.3))) / 2,
partial(float, 3))
)
y = as_pyll(x)
evaluate(x) == rec_eval(y)
finally:
scope.undefine(my_add)
def test_pyll_list():
x = as_partialplus([5, 3, 9])
y = as_pyll(x)
# rec_eval always uses tuple
assert evaluate(x) == list(rec_eval(y))
def test_pyll_tuple():
x = as_partialplus((6, 9, 4))
y = as_pyll(x)
assert evaluate(x) == rec_eval(y)
def test_repeated_node():
q = partial(float, 5)
p = as_pyll(as_partialplus([q, q, [q]]))
assert p.pos_args[0] is p.pos_args[1]
assert p.pos_args[0] is p.pos_args[2].pos_args[0]
