def test_metadata_notify_false(self):
# Test the top-level function
expr = expression.metadata("butterfly", notify=False)
expected = [
create_graph(
FilteredTraitObserver(
filter=MetadataFilter(metadata_name="butterfly"),
notify=False,
), ),
]
actual = expr._as_graphs()
self.assertEqual(actual, expected)
def test_metadata_method_notify_false(self):
# Test the instance method calls the top-level function correctly.
expr = expression.metadata("bee").metadata("ant", notify=False)
expected = [
create_graph(
FilteredTraitObserver(
filter=MetadataFilter(metadata_name="bee"),
notify=True,
),
FilteredTraitObserver(
filter=MetadataFilter(metadata_name="ant"),
notify=False,
),
),
]
actual = expr._as_graphs()
self.assertEqual(actual, expected)
def _handle_metadata(trees, default_notifies):
""" Handle an element for filtering existing metadata.
Parameters
----------
trees : list of lark.tree.Tree
The children tree for the "metadata" rule.
It contains only one item.
default_notifies : list of boolean
The notify flag stack.
Returns
-------
expression : ObserverExpression
"""
token, = trees
metadata_name = token.value
notify = default_notifies[-1]
return expression_module.metadata(metadata_name, notify=notify)
def test_metadata_notify_false(self):
actual = parse("+name:+attr")
expected = metadata("name", notify=False).metadata("attr", notify=True)
self.assertEqual(actual, expected)
def test_metadata(self):
actual = parse("+name")
expected = metadata("name", notify=True)
self.assertEqual(actual, expected)