diff --git a/src/anndata/_core/anndata.py b/src/anndata/_core/anndata.py
index 2c2f48f03..945d031d7 100644
--- a/src/anndata/_core/anndata.py
+++ b/src/anndata/_core/anndata.py
@@ -1429,13 +1429,13 @@ def to_memory(self, *, copy: bool = False) -> AnnData:
         ]:
             attr = getattr(self, attr_name, None)
             if attr is not None:
-                new[attr_name] = to_memory(attr, copy)
+                new[attr_name] = to_memory(attr, copy=copy)
 
         if self.raw is not None:
             new["raw"] = {
-                "X": to_memory(self.raw.X, copy),
-                "var": to_memory(self.raw.var, copy),
-                "varm": to_memory(self.raw.varm, copy),
+                "X": to_memory(self.raw.X, copy=copy),
+                "var": to_memory(self.raw.var, copy=copy),
+                "varm": to_memory(self.raw.varm, copy=copy),
             }
 
         if self.isbacked:
diff --git a/src/anndata/tests/helpers.py b/src/anndata/tests/helpers.py
index 724dfcf21..a915ff115 100644
--- a/src/anndata/tests/helpers.py
+++ b/src/anndata/tests/helpers.py
@@ -573,7 +573,7 @@ def assert_equal(
 def assert_equal_cupy(
     a: CupyArray, b: object, *, exact: bool = False, elem_name: str | None = None
 ):
-    assert_equal(b, a.get(), exact, elem_name)
+    assert_equal(b, a.get(), exact=exact, elem_name=elem_name)
 
 
 @assert_equal.register(np.ndarray)
@@ -594,7 +594,10 @@ def assert_equal_ndarray(
         # Reshaping to allow >2d arrays
         assert a.shape == b.shape, format_msg(elem_name)
         assert_equal(
-            pd.DataFrame(a.reshape(-1)), pd.DataFrame(b.reshape(-1)), exact, elem_name
+            pd.DataFrame(a.reshape(-1)),
+            pd.DataFrame(b.reshape(-1)),
+            exact=exact,
+            elem_name=elem_name,
         )
     else:
         assert np.all(a == b), format_msg(elem_name)
@@ -617,14 +620,14 @@ def assert_equal_sparse(
     elem_name: str | None = None,
 ):
     a = asarray(a)
-    assert_equal(b, a, exact, elem_name=elem_name)
+    assert_equal(b, a, exact=exact, elem_name=elem_name)
 
 
 @assert_equal.register(SpArray)
 def assert_equal_sparse_array(
     a: SpArray, b: object, *, exact: bool = False, elem_name: str | None = None
 ):
-    return assert_equal_sparse(a, b, exact, elem_name)
+    return assert_equal_sparse(a, b, exact=exact, elem_name=elem_name)
 
 
 @assert_equal.register(CupySparseMatrix)
@@ -632,7 +635,7 @@ def assert_equal_cupy_sparse(
     a: CupySparseMatrix, b: object, *, exact: bool = False, elem_name: str | None = None
 ):
     a = a.toarray()
-    assert_equal(b, a, exact, elem_name=elem_name)
+    assert_equal(b, a, exact=exact, elem_name=elem_name)
 
 
 @assert_equal.register(h5py.Dataset)
@@ -641,14 +644,14 @@ def assert_equal_h5py_dataset(
     a: ArrayStorageType, b: object, *, exact: bool = False, elem_name: str | None = None
 ):
     a = asarray(a)
-    assert_equal(b, a, exact, elem_name=elem_name)
+    assert_equal(b, a, exact=exact, elem_name=elem_name)
 
 
 @assert_equal.register(DaskArray)
 def assert_equal_dask_array(
     a: DaskArray, b: object, *, exact: bool = False, elem_name: str | None = None
 ):
-    assert_equal(b, a.compute(), exact, elem_name)
+    assert_equal(b, a.compute(), exact=exact, elem_name=elem_name)
 
 
 @assert_equal.register(pd.DataFrame)
@@ -656,7 +659,7 @@ def are_equal_dataframe(
     a: pd.DataFrame, b: object, *, exact: bool = False, elem_name: str | None = None
 ):
     if not isinstance(b, pd.DataFrame):
-        assert_equal(b, a, exact, elem_name)  # , a.values maybe?
+        assert_equal(b, a, exact=exact, elem_name=elem_name)  # , a.values maybe?
 
     report_name(pd.testing.assert_frame_equal)(
         a,
@@ -690,7 +693,7 @@ def assert_equal_mapping(
     for k in a.keys():
         if elem_name is None:
             elem_name = ""
-        assert_equal(a[k], b[k], exact, f"{elem_name}/{k}")
+        assert_equal(a[k], b[k], exact=exact, elem_name=f"{elem_name}/{k}")
 
 
 @assert_equal.register(AlignedMappingBase)
@@ -783,8 +786,8 @@ def fmt_name(x):
 
     # There may be issues comparing views, since np.allclose
     # can modify ArrayViews if they contain `nan`s
-    assert_equal(a.obs_names, b.obs_names, exact, elem_name=fmt_name("obs_names"))
-    assert_equal(a.var_names, b.var_names, exact, elem_name=fmt_name("var_names"))
+    assert_equal(a.obs_names, b.obs_names, exact=exact, elem_name=fmt_name("obs_names"))
+    assert_equal(a.var_names, b.var_names, exact=exact, elem_name=fmt_name("var_names"))
     if not exact:
         # Reorder all elements if necessary
         idx = [slice(None), slice(None)]
@@ -813,7 +816,7 @@ def fmt_name(x):
         assert_equal(
             getattr(a, attr),
             getattr(b, attr),
-            exact,
+            exact=exact,
             elem_name=fmt_name(attr),
         )