testing: remove unused sparse_tensors generator

Author: mdekstrand

src/lenskit/testing/__init__.py

@@ -18,7 +18,7 @@
 
 import hypothesis.strategies as st
 
-from ._arrays import coo_arrays, scored_lists, sparse_arrays, sparse_tensors
+from ._arrays import coo_arrays, scored_lists, sparse_arrays
 from ._components import BasicComponentTests, ScorerTests
 from ._movielens import (
     DemoRecs,
@@ -52,7 +52,6 @@
     "scored_lists",
     "set_env_var",
     "sparse_arrays",
-    "sparse_tensors",
 ]
 
 

src/lenskit/testing/_arrays.py

@@ -18,7 +18,6 @@
 from hypothesis import assume
 
 from lenskit.data import ItemList
-from lenskit.math.sparse import torch_sparse_from_scipy
 
 
 @st.composite
@@ -76,17 +75,6 @@ def sparse_arrays(draw, *, layout="csr", **kwargs):
             raise ValueError(f"invalid layout {layout}")
 
 
-@st.composite
-def sparse_tensors(draw, *, layout="csr", **kwargs):
-    if isinstance(layout, list):
-        layout = st.sampled_from(layout)
-    if isinstance(layout, st.SearchStrategy):
-        layout = draw(layout)
-
-    M: sps.coo_array = draw(coo_arrays(**kwargs))
-    return torch_sparse_from_scipy(M, layout)  # type: ignore
-
-
 @st.composite
 def scored_lists(
     draw: st.DrawFn,