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import os
import warnings
import geopandas as gpd
import networkx
import numpy as np
import pytest
from geopandas.testing import assert_geodataframe_equal
from shapely.geometry import LineString, Point
import momepy as mm
class TestUtils:
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_buildings["height"] = np.linspace(10.0, 30.0, 144)
self.df_points = gpd.GeoDataFrame(
data=None, geometry=[Point(0, 0), Point(1, 1)]
)
self.df_points_and_linestring = gpd.GeoDataFrame(
data=None,
geometry=[Point(0, 0), Point(1, 1), LineString([(1, 0), (0, 0), (1, 1)])],
)
def test_dataset_missing(self):
with pytest.raises(ValueError, match="The dataset 'sffgkt' is not available."):
mm.datasets.get_path("sffgkt")
def test_gdf_to_nx_warnings(self):
with pytest.warns(
RuntimeWarning, match="The given network does not contain any LineString."
):
mm.gdf_to_nx(self.df_points)
with pytest.warns(
RuntimeWarning,
match="The given network consists of multiple geometry types.",
):
mm.gdf_to_nx(self.df_points_and_linestring)
def test_gdf_to_nx(self):
nx = mm.gdf_to_nx(self.df_streets)
assert nx.number_of_nodes() == 29
assert nx.number_of_edges() == 35
assert nx.nodes[(1603585.6402153103, 6464428.773867372)] == {
"x": 1603585.6402153103,
"y": 6464428.773867372,
}
def test_gdf_to_nx_dual(self):
dual = mm.gdf_to_nx(self.df_streets, approach="dual")
assert dual.number_of_nodes() == 35
assert dual.number_of_edges() == 74
self.df_streets["ix"] = np.arange(0, len(self.df_streets) * 2, 2)
self.df_streets.set_index("ix", inplace=True)
dual2 = mm.gdf_to_nx(self.df_streets, approach="dual")
assert dual2.number_of_nodes() == 35
assert dual2.number_of_edges() == 74
with pytest.raises(
ValueError, match="Approach 'nonexistent' is not supported."
):
mm.gdf_to_nx(self.df_streets, approach="nonexistent")
nx = mm.gdf_to_nx(self.df_streets, multigraph=False)
assert isinstance(nx, networkx.Graph)
assert nx.number_of_nodes() == 29
assert nx.number_of_edges() == 35
def test_gdf_to_nx_directed(self):
nx = mm.gdf_to_nx(self.df_streets, multigraph=False, directed=True)
assert isinstance(nx, networkx.DiGraph)
assert nx.number_of_nodes() == 29
assert nx.number_of_edges() == 35
nx = mm.gdf_to_nx(self.df_streets, directed=True)
assert isinstance(nx, networkx.MultiDiGraph)
assert nx.number_of_nodes() == 29
assert nx.number_of_edges() == 35
self.df_streets["oneway"] = True
self.df_streets.loc[0, "oneway"] = False # first road section is bidirectional
nx = mm.gdf_to_nx(self.df_streets, directed=True, oneway_column="oneway")
assert nx.number_of_edges() == 36
with pytest.raises(ValueError, match="Bidirectional lines"):
mm.gdf_to_nx(self.df_streets, directed=False, oneway_column="oneway")
def test_gdf_to_nx_angles(self):
dual = mm.gdf_to_nx(self.df_streets, approach="dual", angles=False)
assert (
dual.edges[
(1603499.42326969, 6464328.7520580515),
(1603510.1061735682, 6464204.555117119),
0,
]
== {}
)
dual = mm.gdf_to_nx(self.df_streets, approach="dual", angle="ang")
assert dual.edges[
(1603499.42326969, 6464328.7520580515),
(1603510.1061735682, 6464204.555117119),
0,
] == {"ang": 117.18288698243317}
dual = mm.gdf_to_nx(
self.df_streets, approach="dual", angles=False, multigraph=False
)
assert isinstance(dual, networkx.Graph)
assert (
dual.edges[
(1603499.42326969, 6464328.7520580515),
(1603510.1061735682, 6464204.555117119),
]
== {}
)
dual = mm.gdf_to_nx(self.df_streets, approach="dual", multigraph=False)
assert isinstance(dual, networkx.Graph)
assert dual.edges[
(1603499.42326969, 6464328.7520580515),
(1603510.1061735682, 6464204.555117119),
] == {"angle": 117.18288698243317}
with pytest.raises(ValueError, match="Directed graphs are not supported"):
mm.gdf_to_nx(self.df_streets, approach="dual", directed=True)
def test_gdf_to_nx_labels(self):
nx = mm.gdf_to_nx(self.df_streets, integer_labels=True)
assert nx.number_of_nodes() == 29
assert nx.number_of_edges() == 35
assert nx.nodes[0] == {
"x": 1603585.6402153103,
"y": 6464428.773867372,
}
def test_nx_to_gdf(self):
nx = mm.gdf_to_nx(self.df_streets)
nodes, edges, W = mm.nx_to_gdf(nx, spatial_weights=True)
assert len(nodes) == 29
assert len(edges) == 35
assert W.n == 29
nodes, edges = mm.nx_to_gdf(nx)
assert len(nodes) == 29
assert len(edges) == 35
edges = mm.nx_to_gdf(nx, points=False)
assert len(edges) == 35
nodes, W = mm.nx_to_gdf(nx, lines=False, spatial_weights=True)
assert len(nodes) == 29
assert W.n == 29
nodes = mm.nx_to_gdf(nx, lines=False, spatial_weights=False)
assert len(nodes) == 29
dual = mm.gdf_to_nx(self.df_streets, approach="dual")
edges = mm.nx_to_gdf(dual)
assert len(edges) == 35
dual.graph["approach"] = "nonexistent"
with pytest.raises(
ValueError, match="Approach 'nonexistent' is not supported."
):
mm.nx_to_gdf(dual)
# check graph without attributes
G = networkx.MultiGraph()
key = 0
for _index, row in self.df_streets.iterrows():
first = row.geometry.coords[0]
last = row.geometry.coords[-1]
data = [row[f] for f in list(self.df_streets.columns)]
attributes = dict(zip(list(self.df_streets.columns), data, strict=False))
G.add_edge(first, last, key=key, **attributes)
key += 1 # noqa: SIM113
with pytest.warns(UserWarning, match="Approach is not set"):
nodes, edges = mm.nx_to_gdf(G)
assert len(nodes) == 29
assert len(edges) == 35
# LineString Z
line1 = LineString([(0, 0, 0), (1, 1, 1)])
line2 = LineString([(0, 0, 0), (-1, -1, -1)])
gdf = gpd.GeoDataFrame(geometry=[line1, line2])
G = mm.gdf_to_nx(gdf)
pts, lines = mm.nx_to_gdf(G)
assert pts.iloc[0].geometry.wkt == "POINT Z (0 0 0)"
assert lines.iloc[0].geometry.wkt == "LINESTRING Z (0 0 0, 1 1 1)"
@pytest.mark.xfail(reason="nominatim connection error")
def test_nx_to_gdf_osmnx(self):
osmnx = pytest.importorskip("osmnx")
# osmnx compatibility
G = osmnx.graph_from_place("Preborov, Czechia", network_type="drive")
with pytest.warns(UserWarning, match="Approach is not set"):
pts, lines = mm.nx_to_gdf(G)
assert len(pts) == 7
assert len(lines) == 16
@pytest.mark.parametrize("approach", ["primal", "dual"])
def test_nx_roundtrip(self, approach):
nx = mm.gdf_to_nx(self.df_streets, preserve_index=True, approach=approach)
gdf = mm.nx_to_gdf(nx, points=False)
assert_geodataframe_equal(gdf.drop(columns="mm_len"), self.df_streets)
@pytest.mark.parametrize("approach", ["primal", "dual"])
def test_nx_roundtrip_named(self, approach):
df = self.df_streets
df.index.name = "foo"
nx = mm.gdf_to_nx(df, preserve_index=True, approach=approach)
gdf = mm.nx_to_gdf(nx, points=False)
assert_geodataframe_equal(gdf.drop(columns="mm_len"), df)
assert gdf.index.name == "foo"
@pytest.mark.parametrize("approach", ["primal", "dual"])
def test_nx_roundtrip_custom(self, approach):
df = self.df_streets
df.index = (df.index * 10).astype(str)
df.index.name = "foo"
nx = mm.gdf_to_nx(df, preserve_index=True, approach=approach)
gdf = mm.nx_to_gdf(nx, points=False)
assert_geodataframe_equal(gdf.drop(columns="mm_len"), df)
assert gdf.index.name == "foo"
def test_limit_range(self):
assert list(mm.limit_range(np.arange(10), rng=(25, 75))) == [2, 3, 4, 5, 6, 7]
assert list(mm.limit_range(np.arange(10), rng=(10, 90))) == [
1,
2,
3,
4,
5,
6,
7,
8,
]
assert list(mm.limit_range(np.array([0, 1]), rng=(25, 75))) == [0, 1]
assert list(
mm.limit_range(np.array([0, 1, 2, 3, 4, np.nan]), rng=(25, 75))
) == [1, 2, 3]
np.testing.assert_array_equal(
mm.limit_range(np.array([np.nan, np.nan, np.nan]), rng=(25, 75)),
np.array([np.nan, np.nan, np.nan]),
)
def test_deprecated_decorators(self):
os.environ.pop("ALLOW_LEGACY_MOMEPY", None)
with pytest.warns(
FutureWarning,
match=(
"Class based API like `momepy.LongestAxisLength` is deprecated. "
"Replace it with `momepy.longest_axis_length`"
),
):
mm.LongestAxisLength(self.df_buildings)
os.environ["ALLOW_LEGACY_MOMEPY"] = "True"
with warnings.catch_warnings():
warnings.simplefilter("error")
mm.LongestAxisLength(self.df_buildings)
os.environ["ALLOW_LEGACY_MOMEPY"] = "False"
with pytest.warns(
FutureWarning,
match=(
"Class based API like `momepy.LongestAxisLength` is deprecated. "
"Replace it with `momepy.longest_axis_length`"
),
):
mm.LongestAxisLength(self.df_buildings)
os.environ["ALLOW_LEGACY_MOMEPY"] = "True"
def test_removed_decorators(self):
os.environ.pop("ALLOW_LEGACY_MOMEPY", None)
with pytest.warns(
FutureWarning,
match=("`momepy.Area` is deprecated"),
):
mm.Area(self.df_buildings)
os.environ["ALLOW_LEGACY_MOMEPY"] = "True"
with warnings.catch_warnings():
warnings.simplefilter("error")
mm.Area(self.df_buildings)
os.environ["ALLOW_LEGACY_MOMEPY"] = "False"
with pytest.warns(
FutureWarning,
match=("`momepy.Area` is deprecated"),
):
mm.Area(self.df_buildings)
os.environ["ALLOW_LEGACY_MOMEPY"] = "True"
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