Fix type checker errors, bump QGIS plugin version

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: songololo

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "cityseer"
-version = '4.25.0b13'
+version = '4.25.0b14'
 description = "Computational tools for network-based pedestrian-scale urban analysis"
 readme = "README.md"
 requires-python = ">=3.10, <3.14" # pending fiona support for 3.14

pysrc/cityseer/metrics/networks.py

@@ -194,8 +194,9 @@ def _extract_results(
                 namespace: dict[str, np.ndarray] = {}
                 for name in next(iter(results.values())).metrics:
                     col_key = config.prep_gdf_key(name, d, angular=angular)
-                    if col_key in temp_data:
-                        namespace[name] = temp_data[col_key]
+                    val = temp_data.get(col_key)
+                    if val is not None:
+                        namespace[name] = val  # type: ignore[assignment]
                 try:
                     with np.errstate(divide="ignore", invalid="ignore"):
                         data_key = config.prep_gdf_key(pp_name, d, angular=angular)
@@ -527,7 +528,7 @@ def betweenness_od(
         speed_m_s=speed_m_s,
         tolerance=tolerance,
     )
-    result = config.wrap_progress(
+    result: rustalgos.centrality.CentralityResult = config.wrap_progress(  # type: ignore[assignment]
         total=network_structure.street_node_count(), rust_struct=network_structure, partial_func=partial_func
     )
     resolved_distances = config.log_thresholds(

pysrc/cityseer/rustalgos/centrality.pyi

@@ -27,7 +27,6 @@ class OdMatrix:
         """Number of unique origin nodes."""
         ...
 
-
 class CentralityResult:
     """Holds centrality results from closeness, betweenness, and/or cycles computation."""
 

qgis_plugin/cityseer_qgis/algorithms/centrality.py

@@ -445,13 +445,13 @@ def _store(result, col_prefix, metric_names, derive_hillier=False):
                     and d in metrics["density"]
                     and d in metrics["farness"]
                 ):
-                        density = metrics["density"][d]
-                        farness = metrics["farness"][d]
-                        for i, fid in enumerate(result.node_keys_py):
-                            if fid in results and farness[i] > 0:
-                                val = float(density[i] ** 2 / farness[i])
-                                hcol = f"cc_hillier_{d}_{col_prefix}" if col_prefix else f"cc_hillier_{d}"
-                                results[fid][hcol] = val if math.isfinite(val) else None
+                    density = metrics["density"][d]
+                    farness = metrics["farness"][d]
+                    for i, fid in enumerate(result.node_keys_py):
+                        if fid in results and farness[i] > 0:
+                            val = float(density[i] ** 2 / farness[i])
+                            hcol = f"cc_hillier_{d}_{col_prefix}" if col_prefix else f"cc_hillier_{d}"
+                            results[fid][hcol] = val if math.isfinite(val) else None
 
         def _run_metric_batches(
             label,

qgis_plugin/cityseer_qgis/metadata.txt

@@ -2,7 +2,7 @@
 name=Cityseer
 qgisMinimumVersion=4.0
 description=Urban network analysis: centrality, accessibility, and statistics
-version=4.25.0beta9
+version=4.25.0beta14
 author=Benchmark Urbanism
 email=gareth.simons@ucl.ac.uk