def test_get_selection_geometry_callback(self, df_type):
bg = BaseGraph()
df = initialize_df(df_type, {"a": [1, 2, 2], "b": [3, 4, 5]})
dashboard = DashBoard(dataframe=DataFrame.from_dataframe(df))
assert callable(type(bg.get_box_select_callback(dashboard)))
assert callable(type(bg.get_lasso_select_callback(dashboard)))
def test_lasso_selection_callback(self, df_type):
nodes = initialize_df(
df_type,
{"vertex": [0, 1, 2, 3], "x": [0, 1, 1, 2], "y": [0, 1, 2, 0]},
)
edges = initialize_df(
df_type, {"source": [1, 1, 1, 1], "target": [0, 1, 2, 3]}
)
dashboard = DashBoard(dataframe=DataFrame.load_graph((nodes, edges)))
bg = BaseGraph()
bg.chart_type = "temp"
bg.nodes = nodes
bg.edges = edges
bg.inspect_neighbors = CustomInspectTool(_active=False)
def t_function(data, edges=None, patch_update=False):
self.result = data
bg.reload_chart = t_function
geometry = np.array([[1, 1, 2], [1, 2, 1]])
t = bg.get_lasso_select_callback(dashboard)
with mock.patch("cuspatial.point_in_polygon") as pip:
if isinstance(nodes, dask_cudf.DataFrame):
# point in polygon is called per partition,
# in this case 2 partitions of length 2 each
pip.return_value = cudf.DataFrame({"selection": [True, False]})
else:
pip.return_value = cudf.DataFrame(
{"selection": [True, False, True, False]}
)
t(geometry)
assert pip.called
assert isinstance(self.result, df_type)