Release 2.1.1: fix PyPI logo URL, apply ruff format

Use an absolute raw-GitHub URL for the README logo so it renders on the
PyPI project page, and apply ruff format to visibility2d/visibility3d.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

Author: g-filomena

README.md

@@ -3,7 +3,7 @@
 [![Documentation Status](https://readthedocs.org/projects/cityimage/badge/?version=latest)](https://cityimage.readthedocs.io/en/latest/?badge=latest)
 [![codecov](https://codecov.io/gh/g-filomena/cityImage/branch/master/graph/badge.svg)](https://codecov.io/gh/g-filomena/cityImage)
 
-<img src="docs/_static/logo.png" alt="cityImage logo" width="33%">
+<img src="https://raw.githubusercontent.com/g-filomena/cityImage/master/docs/_static/logo.png" alt="cityImage logo" width="33%">
 
 # cityImage
 

cityImage/__init__.py

@@ -12,7 +12,7 @@
 from importlib import import_module
 from typing import Any
 
-__version__ = "2.1.0"
+__version__ = "2.1.1"
 
 _PUBLIC_SYMBOLS: dict[str, str] = {
     "AMENITY_GROUPS": "landuse",

cityImage/visibility2d.py

@@ -104,9 +104,7 @@ def _clip_to_nearest_obstruction(ray, obstruction_union):
 
     if len(obstacles) > 0:
         obstruction_union = unary_union(obstacles.geometry)
-        clipped_lines = [
-            _clip_to_nearest_obstruction(line, obstruction_union) for line in lines
-        ]
+        clipped_lines = [_clip_to_nearest_obstruction(line, obstruction_union) for line in lines]
     else:
         clipped_lines = lines
 

cityImage/visibility3d.py

@@ -229,7 +229,7 @@ def compute_3d_sight_lines(
         target_xy_all = _points_xy(targets["target_geo"])
         span_x = float(np.ptp(target_xy_all[:, 0])) or 1.0
         span_y = float(np.ptp(target_xy_all[:, 1])) or 1.0
-        cap_fraction = min(1.0, np.pi * max_observer_target_distance ** 2 / (span_x * span_y))
+        cap_fraction = min(1.0, np.pi * max_observer_target_distance**2 / (span_x * span_y))
         est_pairs_per_observer = max(1, int(num_targets * cap_fraction))
     projected_nr_sight_lines = num_observers * est_pairs_per_observer
     obstructions_sindex = obstructions_gdf.sindex  # GeoPandas SpatialIndex wrapper
@@ -306,9 +306,7 @@ def compute_3d_sight_lines(
                     errors="ignore",
                 )
             chunk_sight_lines = pd.concat(visibles, ignore_index=True)
-            chunk_sight_lines = _finalize_sight_lines(
-                chunk_sight_lines, nodes_gdf, consolidate
-            )
+            chunk_sight_lines = _finalize_sight_lines(chunk_sight_lines, nodes_gdf, consolidate)
             n_records = len(chunk_sight_lines)
             chunk_file = chunk_dir / f"{city_name}_{out_prefix}_{n}.gpkg"
             chunk_sight_lines.to_file(chunk_file)
@@ -723,9 +721,7 @@ def _define_batches(
         yield potential_sight_lines.iloc[start : start + rows_per_batch]
 
 
-def _obstruction_candidates_slice(
-    endpoint_xyz, obstructions_sindex, bounds, tops, poly_ids
-):
+def _obstruction_candidates_slice(endpoint_xyz, obstructions_sindex, bounds, tops, poly_ids):
     """Candidate obstruction building IDs per sight line, for one slice of lines.
 
     A fully vectorised bounding-box broad phase: for each line we keep the buildings whose

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "cityImage"
-version = "2.1.0"
+version = "2.1.1"
 description = "A package for studying urban form and obtaining the computational Image of the City"
 readme = "README.md"
 requires-python = ">=3.10"