1 files changed, 0 insertions, 35 deletions
diff --git a/examples/redis-unstable/modules/vector-sets/tests/basic_similarity.py b/examples/redis-unstable/modules/vector-sets/tests/basic_similarity.py
deleted file mode 100644
index 11c3c9b..0000000
--- a/examples/redis-unstable/modules/vector-sets/tests/basic_similarity.py
+++ /dev/null
@@ -1,35 +0,0 @@
-from test import TestCase
-
-class BasicSimilarity(TestCase):
-    def getname(self):
-        return "VSIM reported distance makes sense with 4D vectors"
-
-    def test(self):
-        # Add two very similar vectors, one different
-        vec1 = [1, 0, 0, 0]
-        vec2 = [0.99, 0.01, 0, 0]
-        vec3 = [0.1, 1, -1, 0.5]
-
-        # Add vectors using VALUES format
-        self.redis.execute_command('VADD', self.test_key, 'VALUES', 4, 
-                                 *[str(x) for x in vec1], f'{self.test_key}:item:1')
-        self.redis.execute_command('VADD', self.test_key, 'VALUES', 4, 
-                                 *[str(x) for x in vec2], f'{self.test_key}:item:2')
-        self.redis.execute_command('VADD', self.test_key, 'VALUES', 4, 
-                                 *[str(x) for x in vec3], f'{self.test_key}:item:3')
-
-        # Query similarity with vec1
-        result = self.redis.execute_command('VSIM', self.test_key, 'VALUES', 4, 
-                                          *[str(x) for x in vec1], 'WITHSCORES')
-
-        # Convert results to dictionary
-        results_dict = {}
-        for i in range(0, len(result), 2):
-            key = result[i].decode()
-            score = float(result[i+1])
-            results_dict[key] = score
-
-        # Verify results
-        assert results_dict[f'{self.test_key}:item:1'] > 0.99, "Self-similarity should be very high"
-        assert results_dict[f'{self.test_key}:item:2'] > 0.99, "Similar vector should have high similarity"
-        assert results_dict[f'{self.test_key}:item:3'] < 0.8, "Not very similar vector should have low similarity"