Clean up comments and remove conftest.txt -- PR ready to remove Draft status

Author: dschult

libpysal/conftest.txt

@@ -270,7 +270,7 @@ def da2WSP(
     # then eliminate zeros from the data. This changes the
     # sparsity of the csr_matrix !!
     if k > 1 and not include_nodata:
-        #### Could be as follows after scipy >=1.12 is required
+        #### Can be this one-liner after scipy >=1.12 is assured
         # sw = sum(sparse.linalg.matrix_power(sw, x) for x in range(1, k + 1))
         tmp = sw.copy()
         for _ in range(k - 1):

libpysal/weights/raster.py

@@ -34,11 +34,12 @@ def test_lat2_sw(self, row_st):
         pct_nonzero = w9.nnz / float(n)
         assert pct_nonzero == 0.29629629629629628
         if row_st:
-            # these 3 lines can be replaced when scipy >=1.15 is assured.
+            #### Can be this one-liner after scipy >=1.15 is assured
             # w9 = (w9.T.multiply(w9.tocsr().count_nonzero(axis=1))).T
             w9csr = w9.tocsr()
             nnz_by_axis1 = np.diff(w9csr.indptr)
             w9 = (w9csr.T.multiply(nnz_by_axis1)).T
+            ####
         data = w9.todense().tolist()
         assert data[0] == [0, 1, 0, 1, 0, 0, 0, 0, 0]
         assert data[1] == [1, 0, 1, 0, 1, 0, 0, 0, 0]

libpysal/weights/tests/test_util.py

@@ -524,14 +524,14 @@ def higher_order_sp(
 
     if lower_order:
         shortest_path = False
-        #### Could be as follows after scipy >=1.12 is required
+        #### Can be this one-liner after scipy >=1.12 is assured
         # wk = sum(sparse.linalg.matrix_power(w, k) for k in range(1, k+1))
         wk = w.copy()
         for _ in range(k - 1):
             wk = wk @ w + w
         ####
     else:
-        #### Could be as follows after scipy >=1.12 is required
+        #### Can be this one-liner after scipy >=1.12 is assured
         # wk = sparse.linalg.matrix_power(w, k)
         wk = w.copy()
         x = 1
@@ -548,7 +548,7 @@ def higher_order_sp(
 
     if shortest_path:
         for j in range(1, k):
-            #### Could be as follows after scipy >=1.12 is required
+            #### Can be this one-liner after scipy >=1.12 is assured
             # wj = sparse.linalg.matrix_power(w, j)
             wj = w.copy()
             x = 1