cov heu test

tests/cov_heu_test.py

@@ -0,0 +1,44 @@
+from __future__ import annotations
+
+import sys
+import unittest
+
+import numpy as np
+
+from outrank.algorithms.feature_ranking.ranking_cov_alignment import \
+    max_pair_coverage
+
+np.random.seed(123)
+sys.path.append('./outrank')
+
+
+class TestMaxPairCoverage(unittest.TestCase):
+    def test_basic_functionality(self):
+        array1 = np.array([1, 2, 3, 1, 2])
+        array2 = np.array([4, 5, 6, 4, 5])
+        result = max_pair_coverage(array1, array2)
+        self.assertAlmostEqual(result, 2/5, places=5)
+
+    def test_identical_elements(self):
+        array1 = np.array([1, 1, 1, 1])
+        array2 = np.array([1, 1, 1, 1])
+        result = max_pair_coverage(array1, array2)
+        self.assertEqual(result, 1.0)
+
+    def test_large_arrays(self):
+        array1 = np.random.randint(0, 100, size=10000)
+        array2 = np.random.randint(0, 100, size=10000)
+        result = max_pair_coverage(array1, array2)
+        self.assertTrue(0 <= result <= 1)
+
+    def test_all_unique_pairs(self):
+        array1 = np.array([1, 2, 3, 4, 5])
+        array2 = np.array([6, 7, 8, 9, 10])
+        result = max_pair_coverage(array1, array2)
+        self.assertEqual(result, 1/5)
+
+    def test_all_same_pairs(self):
+        array1 = np.array([1, 1, 1, 1, 1])
+        array2 = np.array([2, 2, 2, 2, 2])
+        result = max_pair_coverage(array1, array2)
+        self.assertEqual(result, 1.0)