def test_enclosures(self):
basic = mm.enclosures(self.df_streets)
assert len(basic) == 7
assert isinstance(basic, gpd.GeoDataFrame)
limited = mm.enclosures(self.df_streets, gpd.GeoSeries([self.limit]))
assert len(limited) == 20
assert isinstance(limited, gpd.GeoDataFrame)
b = self.limit.bounds
additional_barrier = gpd.GeoSeries([LineString([(b[0], b[1]), (b[2], b[3])])])
additional = mm.enclosures(
self.df_streets, gpd.GeoSeries([self.limit]), [additional_barrier]
)
assert len(additional) == 28
assert isinstance(additional, gpd.GeoDataFrame)
with pytest.raises(TypeError):
additional = mm.enclosures(
self.df_streets, gpd.GeoSeries([self.limit]), additional_barrier
)
# test clip
limit = self.df_streets.unary_union.convex_hull.buffer(-100)
encl = mm.enclosures(self.df_streets, limit=gpd.GeoSeries([limit]), clip=True)
assert len(encl) == 18
def test_get_node_id(self):
nx = mm.gdf_to_nx(self.df_streets)
nodes, edges = mm.nx_to_gdf(nx)
self.df_buildings["nID"] = mm.get_network_id(self.df_buildings,
self.df_streets, "nID")
ids = mm.get_node_id(self.df_buildings, nodes, edges, "nodeID", "nID")
assert not ids.isna().any()
convex_hull = edges.unary_union.convex_hull
enclosures = mm.enclosures(edges, limit=gpd.GeoSeries([convex_hull]))
enclosed_tess = mm.Tessellation(self.df_buildings,
unique_id="uID",
enclosures=enclosures).tessellation
links = mm.get_network_ratio(enclosed_tess, edges)
enclosed_tess[links.columns] = links
ids = mm.get_node_id(
enclosed_tess,
nodes,
edges,
node_id="nodeID",
edge_keys="edgeID_keys",
edge_values="edgeID_values",
)
assert not ids.isna().any()
def test_get_network_ratio(self):
convex_hull = self.df_streets.unary_union.convex_hull
enclosures = mm.enclosures(self.df_streets, limit=gpd.GeoSeries([convex_hull]))
enclosed_tess = mm.Tessellation(
self.df_buildings, unique_id="uID", enclosures=enclosures
).tessellation
links = mm.get_network_ratio(enclosed_tess, self.df_streets, initial_buffer=10)
assert links.edgeID_values.apply(lambda x: sum(x)).sum() == len(enclosed_tess)
assert links.loc[149, "edgeID_keys"] == [13, 30, 27, 29, 28]
def setup_method(self):
test_file_path = mm.datasets.get_path("bubenec")
self.df_buildings = gpd.read_file(test_file_path, layer="buildings")
self.df_tessellation = gpd.read_file(test_file_path,
layer="tessellation")
self.df_streets = gpd.read_file(test_file_path, layer="streets")
self.df_streets["nID"] = range(len(self.df_streets))
self.limit = mm.buffered_limit(self.df_buildings, 50)
self.enclosures = mm.enclosures(self.df_streets,
gpd.GeoSeries([self.limit.exterior]))
def test_enclosures(self):
basic = mm.enclosures(self.df_streets)
assert len(basic) == 7
assert isinstance(basic, gpd.GeoDataFrame)
limited = mm.enclosures(self.df_streets, gpd.GeoSeries([self.limit]))
assert len(limited) == 20
assert isinstance(limited, gpd.GeoDataFrame)
b = self.limit.bounds
additional_barrier = gpd.GeoSeries([LineString([(b[0], b[1]), (b[2], b[3])])])
additional = mm.enclosures(
self.df_streets, gpd.GeoSeries([self.limit]), [additional_barrier]
)
assert len(additional) == 28
assert isinstance(additional, gpd.GeoDataFrame)
with pytest.raises(TypeError):
additional = mm.enclosures(
self.df_streets, gpd.GeoSeries([self.limit]), additional_barrier
)
