chore: import upstream snapshot with attribution

test/python/testvectors/testdense/testm2v.py

@@ -0,0 +1,40 @@
+"""
+Model2Vec module tests
+"""
+
+import os
+import unittest
+
+import numpy as np
+
+from txtai.vectors import VectorsFactory
+
+
+class TestModel2Vec(unittest.TestCase):
+    """
+    Model2vec vectors tests
+    """
+
+    @classmethod
+    def setUpClass(cls):
+        """
+        Create Model2Vec instance.
+        """
+
+        cls.model = VectorsFactory.create({"path": "minishlab/potion-base-8M"}, None)
+
+    def testIndex(self):
+        """
+        Test indexing with Model2Vec vectors
+        """
+
+        ids, dimension, batches, stream = self.model.index([(0, "test", None)])
+
+        self.assertEqual(len(ids), 1)
+        self.assertEqual(dimension, 256)
+        self.assertEqual(batches, 1)
+        self.assertIsNotNone(os.path.exists(stream))
+
+        # Test shape of serialized embeddings
+        with open(stream, "rb") as queue:
+            self.assertEqual(np.load(queue).shape, (1, 256))