MAINT: update required versions, adapt CI, lint for new target Python

.github/workflows/tests.yaml

@@ -18,15 +18,15 @@ jobs:
       matrix:
         os: [ubuntu-latest]
         environment-file:
-          - ci/envs/38-minimal.yaml
-          - ci/envs/39-latest.yaml
+          - ci/envs/310-oldest.yaml
           - ci/envs/310-latest.yaml
           - ci/envs/311-latest.yaml
-          - ci/envs/311-dev.yaml
+          - ci/envs/312-latest.yaml
+          - ci/envs/312-dev.yaml
         include:
-          - environment-file: ci/envs/311-latest.yaml
+          - environment-file: ci/envs/312-latest.yaml
             os: macos-latest
-          - environment-file: ci/envs/311-latest.yaml
+          - environment-file: ci/envs/312-latest.yaml
             os: windows-latest
     defaults:
       run:

ci/envs/38-minimal.yaml → ci/envs/310-oldest.yaml

@@ -2,17 +2,17 @@ name: test
 channels:
   - conda-forge
 dependencies:
-  - python=3.8
-  - geopandas=0.8
+  - python=3.10
+  - geopandas=0.12
   - inequality
   - libpysal=4.6.0
   - mapclassify
-  - networkx=2.3
-  - numpy=1.21
+  - networkx=2.7
+  - numpy=1.22
   - packaging
-  - pandas>=0.23.0,!=1.5.0,<2
+  - pandas>=1.4.0,!=1.5.0,<2
   - shapely=2.0
-  - tqdm=4.27.0
+  - tqdm=4.63.0
   # testing
   - codecov
   - pytest

ci/envs/311-dev.yaml → ci/envs/312-dev.yaml

@@ -2,7 +2,7 @@ name: test
 channels:
   - conda-forge
 dependencies:
-  - python=3.11
+  - python=3.12
   - dask
   - geopandas
   - inequality

ci/envs/39-latest.yaml → ci/envs/312-latest.yaml

@@ -2,7 +2,7 @@ name: test
 channels:
   - conda-forge
 dependencies:
-  - python=3.9
+  - python=3.12
   - geopandas
   - inequality
   - libpysal>=4.6.0
@@ -12,7 +12,6 @@ dependencies:
   - packaging
   - pandas!=1.5.0
   - shapely>=2
-  - pygeos
   - esda
   - tqdm
   # testing

momepy/coins.py

@@ -170,7 +170,7 @@ def _get_links(self):
 
             p2.append(item)
 
-        self.result = list(zip(range(len(p1)), p1, p2))
+        self.result = list(zip(range(len(p1)), p1, p2, strict=True))
 
         for a in self.result:
             n = a[0]
@@ -371,7 +371,7 @@ def _list_to_tuple(line):
 def _list_to_pairs(in_list):
     """Split a line at every point."""
     tmp_list = [list(point) for point in in_list]
-    return [list(pair) for pair in zip(tmp_list, tmp_list[1:])]
+    return [list(pair) for pair in zip(tmp_list, tmp_list[1:], strict=True)]
 
 
 def _compute_angle(point1, point2):

momepy/dimension.py

@@ -546,7 +546,7 @@ def __init__(
         end_markers = []
 
         lengths = shapely.length(lines)
-        for ix, (line, length) in enumerate(zip(lines, lengths)):
+        for ix, (line, length) in enumerate(zip(lines, lengths, strict=True)):
             pts = shapely.line_interpolate_point(
                 line, np.linspace(0, length, num=int((length) // distance))
             )
@@ -560,7 +560,7 @@ def __init__(
                 ids += [ix] * 2
 
         ticks = []
-        for num, (pt, end) in enumerate(zip(list_points, end_markers), 1):
+        for num, (pt, end) in enumerate(zip(list_points, end_markers, strict=True), 1):
             if end:
                 ticks.append([pt, pt])
                 ticks.append([pt, pt])
@@ -587,7 +587,7 @@ def __init__(
 
         min_distances = []
         min_inds = []
-        for dis, ind in zip(dist_per_res, inp_per_res):
+        for dis, ind in zip(dist_per_res, inp_per_res, strict=True):
             min_distances.append(np.min(dis))
             min_inds.append(ind[np.argmin(dis)])
 

momepy/distribution.py

@@ -70,7 +70,9 @@ def _dist(a, b):
 
         bboxes = shapely.minimum_rotated_rectangle(gdf.geometry)
         for geom, bbox in tqdm(
-            zip(gdf.geometry, bboxes), total=gdf.shape[0], disable=not verbose
+            zip(gdf.geometry, bboxes, strict=True),
+            total=gdf.shape[0],
+            disable=not verbose,
         ):
             if geom.geom_type in ["Polygon", "MultiPolygon", "LinearRing"]:
                 bbox = list(bbox.exterior.coords)
@@ -793,7 +795,9 @@ def __init__(
             print("Spatial weights ready...") if verbose else None
 
         self.sw = spatial_weights
-        patches = dict(zip(gdf[unique_id], spatial_weights.component_labels))
+        patches = dict(
+            zip(gdf[unique_id], spatial_weights.component_labels, strict=True)
+        )
 
         for uid in tqdm(
             self.id,

momepy/diversity.py

@@ -685,7 +685,7 @@ def p(n, sum_n):
         counts.update(data.value_counts())
     else:
         sample_bins = mc.UserDefined(data, bins)
-        counts = dict(zip(bins, sample_bins.counts))
+        counts = dict(zip(bins, sample_bins.counts, strict=True))
 
     return -sum(p(n, sum(counts.values())) for n in counts.values() if n != 0)
 

momepy/elements.py

@@ -9,7 +9,6 @@
 import numpy as np
 import pandas as pd
 import shapely
-from packaging.version import Version
 from scipy.spatial import Voronoi
 from shapely.geometry.base import BaseGeometry
 from shapely.ops import polygonize
@@ -25,8 +24,6 @@
     "get_network_ratio",
 ]
 
-GPD_10 = Version(gpd.__version__) >= Version("0.10")
-
 
 def buffered_limit(gdf, buffer=100):
     """
@@ -241,7 +238,7 @@ def __init__(
                 n_chunks,
             )
         else:
-            if isinstance(limit, (gpd.GeoSeries, gpd.GeoDataFrame)):
+            if isinstance(limit, gpd.GeoSeries | gpd.GeoDataFrame):
                 limit = limit.unary_union
 
             bounds = shapely.bounds(limit)
@@ -275,10 +272,7 @@ def _morphological_tessellation(
             objects.loc[mask, objects.geometry.name] = objects[mask].buffer(
                 -shrink, cap_style=2, join_style=2
             )
-        if GPD_10:
-            objects = objects.reset_index(drop=True).explode(ignore_index=True)
-        else:
-            objects = objects.reset_index(drop=True).explode().reset_index(drop=True)
+        objects = objects.reset_index(drop=True).explode(ignore_index=True)
         objects = objects.set_index(unique_id)
 
         print("Generating input point array...") if verbose else None
@@ -331,7 +325,7 @@ def _dense_point_array(self, geoms, distance, index):
         else:
             lines = geoms
         lengths = shapely.length(lines)
-        for ix, line, length in zip(index, lines, lengths):
+        for ix, line, length in zip(index, lines, lengths, strict=True):
             if length > distance:  # some polygons might have collapsed
                 pts = shapely.line_interpolate_point(
                     line,
@@ -621,45 +615,28 @@ def __init__(self, tessellation, edges, buildings, id_name, unique_id):
             gpd.GeoDataFrame(geometry=edges.buffer(0.001)),
             how="difference",
         )
-        cut = cut.explode(ignore_index=True) if GPD_10 else cut.explode()
-
+        cut = cut.explode(ignore_index=True)
         weights = libpysal.weights.Queen.from_dataframe(cut, silence_warnings=True)
         cut["component"] = weights.component_labels
         buildings_c = buildings.copy()
         buildings_c.geometry = buildings_c.representative_point()  # make points
-        if GPD_10:
-            centroids_temp_id = gpd.sjoin(
-                buildings_c,
-                cut[[cut.geometry.name, "component"]],
-                how="left",
-                predicate="within",
-            )
-        else:
-            centroids_temp_id = gpd.sjoin(
-                buildings_c,
-                cut[[cut.geometry.name, "component"]],
-                how="left",
-                op="within",
-            )
+        centroids_temp_id = gpd.sjoin(
+            buildings_c,
+            cut[[cut.geometry.name, "component"]],
+            how="left",
+            predicate="within",
+        )
 
         cells_copy = tessellation[[unique_id, tessellation.geometry.name]].merge(
             centroids_temp_id[[unique_id, "component"]], on=unique_id, how="left"
         )
-        if GPD_10:
-            blocks = cells_copy.dissolve(by="component").explode(ignore_index=True)
-        else:
-            blocks = (
-                cells_copy.dissolve(by="component").explode().reset_index(drop=True)
-            )
+        blocks = cells_copy.dissolve(by="component").explode(ignore_index=True)
         blocks[id_name] = range(len(blocks))
         blocks = blocks[[id_name, blocks.geometry.name]]
 
-        if GPD_10:
-            centroids_w_bl_id2 = gpd.sjoin(
-                buildings_c, blocks, how="left", predicate="within"
-            )
-        else:
-            centroids_w_bl_id2 = gpd.sjoin(buildings_c, blocks, how="left", op="within")
+        centroids_w_bl_id2 = gpd.sjoin(
+            buildings_c, blocks, how="left", predicate="within"
+        )
 
         self.buildings_id = centroids_w_bl_id2[id_name]
 
@@ -823,7 +800,7 @@ def get_node_id(
         edges = edges.set_index(edge_id)
         centroids = objects.centroid
         for eid, centroid in tqdm(
-            zip(objects[edge_id], centroids),
+            zip(objects[edge_id], centroids, strict=True),
             total=objects.shape[0],
             disable=not verbose,
         ):
@@ -844,7 +821,9 @@ def get_node_id(
 
     elif edge_keys is not None and edge_values is not None:
         for edge_i, edge_r, geom in tqdm(
-            zip(objects[edge_keys], objects[edge_values], objects.geometry),
+            zip(
+                objects[edge_keys], objects[edge_values], objects.geometry, strict=True
+            ),
             total=objects.shape[0],
             disable=not verbose,
         ):
@@ -903,9 +882,6 @@ def get_network_ratio(df, edges, initial_buffer=500):
     4        [26]                                        [1]
     """
 
-    if not GPD_10:
-        raise ImportError("`get_network_ratio` requires geopandas 0.10 or newer.")
-
     (df_ix, edg_ix), dist = edges.sindex.nearest(
         df.geometry, max_distance=initial_buffer, return_distance=True
     )