def test_nested_dict(self):
n = Node.build({"foo": {"a": 1, "b": 2}, "bar": [3, 4], "baz": {5, 6}})
foo = Node(
".foo", dict, {"a": 1, "b": 2}, parent=n, key="foo", children=[]
)
foo_a = Node(".foo.a", int, 1, parent=foo, key="a")
foo_b = Node(".foo.b", int, 2, parent=foo, key="b")
foo.children.extend([foo_a, foo_b])
bar = Node(".bar", list, [3, 4], parent=n, key="bar", children=[])
bar_0 = Node(".bar[0]", int, 3, parent=bar)
bar_1 = Node(".bar[1]", int, 4, parent=bar)
bar.children.extend([bar_0, bar_1])
baz = Node(".baz", set, {5, 6}, parent=n, key="baz", children=[])
baz_0 = Node(".baz[0]", int, 5, parent=baz)
baz_1 = Node(".baz[1]", int, 6, parent=baz)
baz.children.extend([baz_0, baz_1])
assert list(n.dfwalk()) == [
n,
foo,
foo_a,
foo_b,
bar,
bar_0,
bar_1,
baz,
baz_0,
baz_1,
]
def test_float_nan(self):
n = Node.build(float("nan"))
# NaN cannot be compared to itself
assert n.name == ""
assert n.kind is float
assert str(n.value) == "nan"
assert n.is_leaf
def test_simple_dict(self):
n = Node.build({"foo": 123, "bar": 456, "baz": 789})
assert list(n.dfwalk()) == [
n,
Node(".foo", int, 123, key="foo", parent=n),
Node(".bar", int, 456, key="bar", parent=n),
Node(".baz", int, 789, key="baz", parent=n),
]
def test_simple_list(self):
n = Node.build(["foo", 123, True])
assert list(n.dfwalk()) == [
n,
Node("[0]", str, "foo", parent=n),
Node("[1]", int, 123, parent=n),
Node("[2]", bool, True, parent=n),
]
def test_node_ancestors():
n = Node.build({"foo": {"bar": {"baz": "xyzzy"}}})
assert list(n.ancestors()) == []
foo = n.children[0]
assert list(foo.ancestors()) == [n]
bar = foo.children[0]
assert list(bar.ancestors()) == [foo, n]
baz = bar.children[0]
assert list(baz.ancestors()) == [bar, foo, n]
def test_list_of_empty_list(self):
n = Node.build([[]])
assert n.name == ""
assert n.kind is list
assert n.value == [[]]
assert not n.is_leaf
assert len(n.children) == 1
n2 = n.children[0]
assert n2.name == "[0]"
assert n2.kind is list
assert n2.value == []
assert not n2.is_leaf
assert len(n2.children) == 0
self.verify_collection(n2, list, [], "[0]")
def test_list_of_list_of_list_of_one_string(self):
n = Node.build([[["foo"]]])
assert n.name == ""
assert n.kind is list
assert n.value == [[["foo"]]]
assert not n.is_leaf
assert len(n.children) == 1
n2 = n.children[0]
assert n2.name == "[0]"
assert n2.kind is list
assert n2.value == [["foo"]]
assert not n2.is_leaf
assert len(n2.children) == 1
n3 = n2.children[0]
self.verify_collection(n3, list, ["foo"], "[0][0]")
def test_str_visit_heterogeneous_structure(self):
n = Node.build(
{
"dict": {"key": 321, "other_key": None, "last_key": False},
"list": [1, 2, 3],
"tuple": (4, 5, 6),
"set": {7, 8, 9},
"nested": ([{"key": {"value"}}],),
}
)
def yield_str(node):
yield str(node)
assert "\n".join(n.dfwalk(yield_str)) == textwrap.dedent(
"""\
/dict/5
.dict/dict/3
.dict.key/int/*
.dict.other_key/NoneType/*
.dict.last_key/bool/*
.list/list/3
.list[0]/int/*
.list[1]/int/*
.list[2]/int/*
.tuple/tuple/3
.tuple[0]/int/*
.tuple[1]/int/*
.tuple[2]/int/*
.set/set/3
.set[0]/int/*
.set[1]/int/*
.set[2]/int/*
.nested/tuple/1
.nested[0]/list/1
.nested[0][0]/dict/1
.nested[0][0].key/set/1
.nested[0][0].key[0]/str/*"""
)
def test_float_nonzero(self):
n = Node.build(1.234)
self.verify_scalar(n, float, 1.234)
def test_float_zero(self):
n = Node.build(0.0)
self.verify_scalar(n, float, 0.0)
def test_negative_int(self):
n = Node.build(-5678)
self.verify_scalar(n, int, -5678)
def test_positive_int(self):
n = Node.build(1234)
self.verify_scalar(n, int, 1234)
def test_zero(self):
n = Node.build(0)
self.verify_scalar(n, int, 0)
def test_dict_multiple_items(self):
n = Node.build({"foo": 123, "bar": 456, "baz": 789})
self.verify_collection(n, dict, {"foo": 123, "bar": 456, "baz": 789})
def test_empty_string(self):
n = Node.build("")
self.verify_scalar(n, str, "")
def test_list_of_singletons(self):
n = Node.build([None, True, False])
self.verify_collection(n, list, [None, True, False])
def test_list_empty(self):
n = Node.build([])
self.verify_collection(n, list, [])
def test_set_single_item(self):
n = Node.build({"foo"})
self.verify_collection(n, set, {"foo"})
def test_set_multiple(self):
n = Node.build({"foo", 456, "bar", 123})
self.verify_collection(n, set, {"foo", 456, "bar", 123})
def test_dict_empty(self):
n = Node.build({})
self.verify_collection(n, dict, {})
def test_leaf_node(self):
n = Node.build("foo")
assert list(n.dfwalk()) == [Node("", str, "foo")]
def test_float_negative_inf(self):
n = Node.build(float("-inf"))
self.verify_scalar(n, float, float("-inf"))
def test_set_empty(self):
n = Node.build(set())
self.verify_collection(n, set, set())
def test_False(self):
n = Node.build(False)
self.verify_scalar(n, bool, False)
def test_short_string(self):
n = Node.build("foo")
self.verify_scalar(n, str, "foo")
def test_dict_single_item(self):
n = Node.build({"foo": 123})
self.verify_collection(n, dict, {"foo": 123})
def test_list_single_item(self):
n = Node.build([123])
self.verify_collection(n, list, [123])
def test_None(self):
n = Node.build(None)
self.verify_scalar(n, type(None), None)
def test_list_of_ints(self):
n = Node.build([123, -456, 789])
self.verify_collection(n, list, [123, -456, 789])
def test_True(self):
n = Node.build(True)
self.verify_scalar(n, bool, True)
