| Server IP : 109.234.164.53 / Your IP : 216.73.216.110 Web Server : Apache System : Linux cervelle.o2switch.net 4.18.0-553.32.1.lve.el8.x86_64 #1 SMP Thu Dec 19 13:14:03 UTC 2024 x86_64 User : computer3 ( 1098) PHP Version : 7.1.33 Disable Function : NONE MySQL : OFF | cURL : ON | WGET : ON | Perl : ON | Python : ON | Sudo : OFF | Pkexec : OFF Directory : /opt/redis-8/modules/vector-sets/tests/ |
Upload File : |
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"