Remove testing data

1 files changed, 0 insertions, 67 deletions

diff --git a/examples/redis-unstable/modules/vector-sets/tests/dimension_validation.py b/examples/redis-unstable/modules/vector-sets/tests/dimension_validation.py
deleted file mode 100644
index f081152..0000000
--- a/examples/redis-unstable/modules/vector-sets/tests/dimension_validation.py
+++ /dev/null
@@ -1,67 +0,0 @@
-from test import TestCase, generate_random_vector
-import struct
-import redis.exceptions
-
-class DimensionValidation(TestCase):
-    def getname(self):
-        return "[regression] Dimension Validation with Projection"
-
-    def estimated_runtime(self):
-        return 0.5
-
-    def test(self):
-        # Test scenario 1: Create a set with projection
-        original_dim = 100
-        reduced_dim = 50
-
-        # Create the initial vector and set with projection
-        vec1 = generate_random_vector(original_dim)
-        vec1_bytes = struct.pack(f'{original_dim}f', *vec1)
-
-        # Add first vector with projection
-        result = self.redis.execute_command('VADD', self.test_key,
-                                          'REDUCE', reduced_dim,
-                                          'FP32', vec1_bytes, f'{self.test_key}:item:1')
-        assert result == 1, "First VADD with REDUCE should return 1"
-
-        # Check VINFO returns the correct projection information
-        info = self.redis.execute_command('VINFO', self.test_key)
-        info_map = {k.decode('utf-8'): v for k, v in zip(info[::2], info[1::2])}
-        assert 'vector-dim' in info_map, "VINFO should contain vector-dim"
-        assert info_map['vector-dim'] == reduced_dim, f"Expected reduced dimension {reduced_dim}, got {info['vector-dim']}"
-        assert 'projection-input-dim' in info_map, "VINFO should contain projection-input-dim"
-        assert info_map['projection-input-dim'] == original_dim, f"Expected original dimension {original_dim}, got {info['projection-input-dim']}"
-
-        # Test scenario 2: Try adding a mismatched vector - should fail
-        wrong_dim = 80
-        wrong_vec = generate_random_vector(wrong_dim)
-        wrong_vec_bytes = struct.pack(f'{wrong_dim}f', *wrong_vec)
-
-        # This should fail with dimension mismatch error
-        try:
-            self.redis.execute_command('VADD', self.test_key,
-                                     'REDUCE', reduced_dim,
-                                     'FP32', wrong_vec_bytes, f'{self.test_key}:item:2')
-            assert False, "VADD with wrong dimension should fail"
-        except redis.exceptions.ResponseError as e:
-            assert "Input dimension mismatch for projection" in str(e), f"Expected dimension mismatch error, got: {e}"
-
-        # Test scenario 3: Add a correctly-sized vector
-        vec2 = generate_random_vector(original_dim)
-        vec2_bytes = struct.pack(f'{original_dim}f', *vec2)
-
-        # This should succeed
-        result = self.redis.execute_command('VADD', self.test_key,
-                                          'REDUCE', reduced_dim,
-                                          'FP32', vec2_bytes, f'{self.test_key}:item:3')
-        assert result == 1, "VADD with correct dimensions should succeed"
-
-        # Check VSIM also validates input dimensions
-        wrong_query = generate_random_vector(wrong_dim)
-        try:
-            self.redis.execute_command('VSIM', self.test_key,
-                                     'VALUES', wrong_dim, *[str(x) for x in wrong_query],
-                                     'COUNT', 10)
-            assert False, "VSIM with wrong dimension should fail"
-        except redis.exceptions.ResponseError as e:
-            assert "Input dimension mismatch for projection" in str(e), f"Expected dimension mismatch error in VSIM, got: {e}"