Remove testing data

1 files changed, 0 insertions, 85 deletions

diff --git a/examples/redis-unstable/modules/vector-sets/tests/node_update.py b/examples/redis-unstable/modules/vector-sets/tests/node_update.py
deleted file mode 100644
index 53aa2dd..0000000
--- a/examples/redis-unstable/modules/vector-sets/tests/node_update.py
+++ /dev/null
@@ -1,85 +0,0 @@
-from test import TestCase, generate_random_vector
-import struct
-import math
-import random
-
-class VectorUpdateAndClusters(TestCase):
-   def getname(self):
-       return "VADD vector update with cluster relocation"
-
-   def estimated_runtime(self):
-       return 2.0  # Should take around 2 seconds
-
-   def generate_cluster_vector(self, base_vec, noise=0.1):
-       """Generate a vector that's similar to base_vec with some noise."""
-       vec = [x + random.gauss(0, noise) for x in base_vec]
-       # Normalize
-       norm = math.sqrt(sum(x*x for x in vec))
-       return [x/norm for x in vec]
-
-   def test(self):
-       dim = 128
-       vectors_per_cluster = 5000
-
-       # Create two very different base vectors for our clusters
-       cluster1_base = generate_random_vector(dim)
-       cluster2_base = [-x for x in cluster1_base]  # Opposite direction
-
-       # Add vectors from first cluster
-       for i in range(vectors_per_cluster):
-           vec = self.generate_cluster_vector(cluster1_base)
-           vec_bytes = struct.pack(f'{dim}f', *vec)
-           self.redis.execute_command('VADD', self.test_key, 'FP32', vec_bytes,
-                                    f'{self.test_key}:cluster1:{i}')
-
-       # Add vectors from second cluster
-       for i in range(vectors_per_cluster):
-           vec = self.generate_cluster_vector(cluster2_base)
-           vec_bytes = struct.pack(f'{dim}f', *vec)
-           self.redis.execute_command('VADD', self.test_key, 'FP32', vec_bytes,
-                                    f'{self.test_key}:cluster2:{i}')
-
-       # Pick a test vector from cluster1
-       test_key = f'{self.test_key}:cluster1:0'
-
-       # Verify it's in cluster1 using VSIM
-       initial_vec = self.generate_cluster_vector(cluster1_base)
-       results = self.redis.execute_command('VSIM', self.test_key, 'VALUES', dim,
-                                          *[str(x) for x in initial_vec],
-                                          'COUNT', 100, 'WITHSCORES')
-
-       # Count how many cluster1 items are in top results
-       cluster1_count = sum(1 for i in range(0, len(results), 2)
-                          if b'cluster1' in results[i])
-       assert cluster1_count > 80, "Initial clustering check failed"
-
-       # Now update the test vector to be in cluster2
-       new_vec = self.generate_cluster_vector(cluster2_base, noise=0.05)
-       vec_bytes = struct.pack(f'{dim}f', *new_vec)
-       self.redis.execute_command('VADD', self.test_key, 'FP32', vec_bytes, test_key)
-
-       # Verify the embedding was actually updated using VEMB
-       emb_result = self.redis.execute_command('VEMB', self.test_key, test_key)
-       updated_vec = [float(x) for x in emb_result]
-
-       # Verify updated vector matches what we inserted
-       dot_product = sum(a*b for a,b in zip(updated_vec, new_vec))
-       similarity = dot_product / (math.sqrt(sum(x*x for x in updated_vec)) *
-                                 math.sqrt(sum(x*x for x in new_vec)))
-       assert similarity > 0.9, "Vector was not properly updated"
-
-       # Verify it's now in cluster2 using VSIM
-       results = self.redis.execute_command('VSIM', self.test_key, 'VALUES', dim,
-                                          *[str(x) for x in cluster2_base],
-                                          'COUNT', 100, 'WITHSCORES')
-
-       # Verify our updated vector is among top results
-       found = False
-       for i in range(0, len(results), 2):
-           if results[i].decode() == test_key:
-               found = True
-               similarity = float(results[i+1])
-               assert similarity > 0.80, f"Updated vector has low similarity: {similarity}"
-               break
-
-       assert found, "Updated vector not found in cluster2 proximity"