life is ruff

libpysal/graph/_matching.py

@@ -1,9 +1,10 @@
 import warnings
 
 import numpy
-from ._utils import _validate_geometry_input
 from scipy import spatial
 
+from ._utils import _validate_geometry_input
+
 _VALID_GEOMETRY_TYPES = ["Point"]
 
 
@@ -15,6 +16,7 @@ def _spatial_matching(
     solver=None,
     return_mip=False,
     allow_partial_match=False,
+    **metric_kwargs,
 ):
     """
     Match locations in one dataset to at least `n_matches`
@@ -23,10 +25,10 @@ def _spatial_matching(
 
     Letting d_{ij} be
 
-    minimize \sum_i^n \sum_j^n  d_{ij}m_{ij}
+    minimize \\sum_i^n \\sum_j^n  d_{ij}m_{ij}
     subject to
-        \sum_j^n m_{ij} >= k \forall i
-        m_{ij} \in {0,1} forall ij
+        \\sum_j^n m_{ij} >= k \forall i
+        m_{ij} \\in {0,1} forall ij
 
 
         Paramters
@@ -83,7 +85,9 @@ def _spatial_matching(
             x, ids=None, valid_geometry_types=_VALID_GEOMETRY_TYPES
         )
         y_ids = x_ids
-        D = spatial.distance.squareform(spatial.distance.pdist(x, metric=metric))
+        D = spatial.distance.squareform(
+            spatial.distance.pdist(x, metric=metric, **metric_kwargs)
+        )
         match_between = False
 
     n_targets, n_sources = D.shape

libpysal/graph/base.py

@@ -718,14 +718,21 @@ def build_knn(cls, data, k, metric="euclidean", p=2, coincident="raise"):
 
     @classmethod
     def build_spatial_matches(
-        cls, data, k, metric="euclidean", p=2, solver=None, allow_partial_match=False
+        cls,
+        data,
+        k,
+        metric="euclidean",
+        solver=None,
+        allow_partial_match=False,
+        **metric_kwargs,
     ):
         head, tail, weight = _spatial_matching(
             x=data,
             metric=metric,
             n_matches=k,
-            solver=None,
+            solver=solver,
             allow_partial_match=allow_partial_match,
+            **metric_kwargs
         )
         # ids need to be addressed here, rather than in the matching
         # because x and y can have different id sets. It's only

libpysal/graph/tests/test_matching.py

@@ -11,10 +11,8 @@
 import geodatasets
 import geopandas
 import numpy as np
-import pandas as pd
-from scipy import sparse
 import pytest
-import shapely
+
 from libpysal.graph._matching import _spatial_matching
 from libpysal.graph.base import Graph