Declare numpy explicitly and update CFS test expectations for mufs 1.0

numpy is imported directly in stree/Strees.py and Splitter.py; rely on the
explicit declaration instead of scikit-learn's transitive pull. mufs 1.0.0
fixed the CFS merit denominator (k + 2*rff vs the old k + (k**2-k)*rff),
so test_get_cfs_subspaces expects the new selection order.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

Author: rmontanana

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "STree"
-dependencies = ["scikit-learn>=1.8.0", "mufs"]
+dependencies = ["numpy", "scikit-learn>=1.8.0", "mufs>=1.0.0"]
 license = "MIT"
 license-files = ["LICENSE"]
 description = "Oblique decision tree with svm nodes."

stree/tests/Splitter_test.py

@@ -263,8 +263,8 @@ def test_get_best_subspaces_discrete(self):
     def test_get_cfs_subspaces(self):
         results = [
             (4, [1, 5, 9, 12]),
-            (6, [1, 5, 9, 12, 4, 2]),
-            (7, [1, 5, 9, 12, 4, 2, 3]),
+            (6, [1, 5, 9, 12, 4, 15]),
+            (7, [1, 5, 9, 12, 4, 15, 19]),
         ]
         X, y = load_dataset(n_features=20, n_informative=7)
         for k, expected in results: