Renamed from_scipy method to from_sparse [skip ci]

ankane · ankane · commit 550aa6403daf · 2024-06-04T18:05:49.000-07:00
diff --git a/pgvector/utils/sparsevec.py b/pgvector/utils/sparsevec.py
@@ -21,7 +21,7 @@ def from_dict(cls, d, dim):
         return cls(dim, indices, values)
 
     @classmethod
-    def from_scipy(cls, value):
+    def from_sparse(cls, value):
         value = value.tocoo()
 
         if value.ndim != 1:
diff --git a/tests/test_sparse_vector.py b/tests/test_sparse_vector.py
@@ -13,10 +13,10 @@ def test_from_dense(self):
     def test_from_coordinates(self):
         assert SparseVector.from_dict({0: 1, 2: 2, 4: 3}, 6).to_list() == [1, 0, 2, 0, 3, 0]
 
-    def test_from_scipy(self):
+    def test_from_sparse(self):
         arr = coo_array(np.array([1, 0, 2, 0, 3, 0]))
-        assert SparseVector.from_scipy(arr).to_list() == [1, 0, 2, 0, 3, 0]
-        assert SparseVector.from_scipy(arr.todok()).to_list() == [1, 0, 2, 0, 3, 0]
+        assert SparseVector.from_sparse(arr).to_list() == [1, 0, 2, 0, 3, 0]
+        assert SparseVector.from_sparse(arr.todok()).to_list() == [1, 0, 2, 0, 3, 0]
 
     def test_repr(self):
         assert repr(SparseVector.from_dense([1, 0, 2, 0, 3, 0])) == 'SparseVector(6, [0, 2, 4], [1.0, 2.0, 3.0])'
