include numba in dev CI env, compat with dev libpysal (#710)

* include numba in dev CI env

* conditional expecation

* fix the assertion order

Author: martinfleis

ci/envs/313-dev.yaml

@@ -5,15 +5,14 @@ dependencies:
   - python=3.13
   - packaging
   - tqdm
-  # - numba
+  - numba
   # testing
   - codecov
   - pytest
   - pytest-cov
   - pip
   - pip:
       - --pre  --index-url https://pypi.anaconda.org/scientific-python-nightly-wheels/simple --extra-index-url https://pypi.org/simple
-      - numpy
       - pandas
       - shapely
       - git+https://github.com/geopandas/geopandas.git

momepy/tests/test_elements.py

@@ -1,6 +1,7 @@
 import uuid
 
 import geopandas as gpd
+import libpysal
 import numpy as np
 import pandas as pd
 import pytest
@@ -14,6 +15,7 @@
 import momepy as mm
 
 SHPLY_GE_210 = Version(shapely.__version__) >= Version("2.1.0")
+LPS_G_4_13_0 = Version(libpysal.__version__) > Version("4.13.0")
 
 
 class TestElements:
@@ -285,22 +287,35 @@ def test_get_nearest_node_missing(self):
     def test_buffered_limit(self):
         limit = mm.buffered_limit(self.df_buildings, 50)
         assert limit.geom_type == "Polygon"
-        assert pytest.approx(limit.area) == 366525.967849688
+        exp = 366525.967849688
+        assert exp == pytest.approx(limit.area)
 
     def test_buffered_limit_adaptive(self):
         limit = mm.buffered_limit(self.df_buildings, "adaptive")
         assert limit.geom_type == "Polygon"
-        assert pytest.approx(limit.area) == 355819.18954170
+        if LPS_G_4_13_0:
+            exp = 347096.5835217
+        else:
+            exp = 355819.1895417
+        assert exp == pytest.approx(limit.area)
 
         limit = mm.buffered_limit(self.df_buildings, "adaptive", max_buffer=30)
         assert limit.geom_type == "Polygon"
-        assert pytest.approx(limit.area) == 304200.301833294
+        if LPS_G_4_13_0:
+            exp = 304712.451361391
+        else:
+            exp = 304200.301833294
+        assert exp == pytest.approx(limit.area)
 
         limit = mm.buffered_limit(
             self.df_buildings, "adaptive", min_buffer=30, max_buffer=300
         )
         assert limit.geom_type == "Polygon"
-        assert pytest.approx(limit.area) == 357671.831894244
+        if LPS_G_4_13_0:
+            exp = 348777.778371144
+        else:
+            exp = 357671.831894244
+        assert exp == pytest.approx(limit.area)
 
     def test_buffered_limit_error(self):
         with pytest.raises(