patch_for_debugging scikit-learn#25172

patch.diff

diff --git a/sklearn/decomposition/_dict_learning.py b/sklearn/decomposition/_dict_learning.py
index b0c252fc31..e99465ada3 100644
--- a/sklearn/decomposition/_dict_learning.py
+++ b/sklearn/decomposition/_dict_learning.py
@@ -174,6 +174,8 @@ def _sparse_encode(
         )
 
         if init is not None:
+            if not init.flags["WRITEABLE"]:
+                init = np.array(init)
             clf.coef_ = init
 
         clf.fit(dictionary.T, X.T, check_input=check_input)
diff --git a/sklearn/linear_model/_cd_fast.pyx b/sklearn/linear_model/_cd_fast.pyx
index dc1c374d61..11bb7547c4 100644
--- a/sklearn/linear_model/_cd_fast.pyx
+++ b/sklearn/linear_model/_cd_fast.pyx
@@ -96,7 +96,7 @@ def enet_coordinate_descent(
     cnp.ndarray[floating, ndim=1, mode='c']  w,
     floating alpha,
     floating beta,
-    floating[::1, :] X,
+    cnp.ndarray[floating, ndim=2, mode='fortran'] X,
     cnp.ndarray[floating, ndim=1, mode='c'] y,
     unsigned int max_iter,
     floating tol,
@@ -568,12 +568,12 @@ def sparse_enet_coordinate_descent(
 
 def enet_coordinate_descent_gram(
     # TODO: const-qualify fused typed memoryview when Cython 3 is used (#23147)
-    floating[::1] w,
+    cnp.ndarray[floating, ndim=1, mode='c'] w,
     floating alpha,
     floating beta,
-    floating[:, ::1] Q,
-    floating[::1] q,
-    floating[:] y,
+    cnp.ndarray[floating, ndim=2, mode='c'] Q,
+    cnp.ndarray[floating, ndim=1, mode='c'] q,
+    cnp.ndarray[floating, ndim=1] y,
     unsigned int max_iter,
     floating tol,
     object rng,
diff --git a/sklearn/linear_model/_coordinate_descent.py b/sklearn/linear_model/_coordinate_descent.py
index 54bb9072c1..957fb50de3 100644
--- a/sklearn/linear_model/_coordinate_descent.py
+++ b/sklearn/linear_model/_coordinate_descent.py
@@ -596,7 +596,7 @@ def enet_path(
                 beta=l2_reg,
                 # TODO: remove ReadonlyArrayWrapper when const-qualify fused typed
                 # memoryviews are used (this necessiates Cython 3).
-                X_data=ReadonlyArrayWrapper(X.data),
+                X_data=X.data,
                 X_indices=X.indices,
                 X_indptr=X.indptr,
                 y=y,
@@ -618,14 +618,12 @@ def enet_path(
             if check_input:
                 precompute = check_array(precompute, dtype=X.dtype.type, order="C")
             model = cd_fast.enet_coordinate_descent_gram(
-                # TODO: remove ReadonlyArrayWrappers when const-qualify fused typed
-                # memoryviews are used (this necessiates Cython 3).
-                ReadonlyArrayWrapper(coef_),
+                coef_,
                 l1_reg,
                 l2_reg,
-                ReadonlyArrayWrapper(precompute),
-                ReadonlyArrayWrapper(Xy),
-                ReadonlyArrayWrapper(y),
+                precompute,
+                Xy,
+                y,
                 max_iter,
                 tol,
                 rng,