fix: lru test xfail condition (#1568)

* add xfail condition python 3.13

* linebreaks formatting

* fix reason xfail

* fix too long lines

Author: Matthijspals

tests/embedding_net_test.py

@@ -4,6 +4,7 @@
 from __future__ import annotations
 
 import math
+import sys
 
 import pytest
 import torch
@@ -550,8 +551,10 @@ def simulator1d(theta):
         pytest.param(
             "scan",
             marks=pytest.mark.xfail(
-                condition=tuple(map(int, torch.__version__.split('.')[:2])) < (2, 5),
-                reason="PyTorch's associative_scan only exists for torch >= 2.5",
+                condition=tuple(map(int, torch.__version__.split('.')[:2])) < (2, 5)
+                or sys.version_info >= (3, 13),
+                reason="PyTorch's associative_scan only exists for torch >= 2.5 \
+                    and Python < 3.13",
                 strict=True,
             ),
         ),
@@ -603,8 +606,10 @@ def test_lru_isolated(
         pytest.param(
             "scan",
             marks=pytest.mark.xfail(
-                condition=tuple(map(int, torch.__version__.split('.')[:2])) < (2, 5),
-                reason="PyTorch's associative_scan only exists for torch >= 2.5",
+                condition=tuple(map(int, torch.__version__.split('.')[:2])) < (2, 5)
+                or sys.version_info >= (3, 13),
+                reason="PyTorch's associative_scan only exists for torch >= 2.5 \
+                    and Python < 3.13",
                 strict=True,
             ),
         ),
@@ -663,8 +668,10 @@ def test_lru_block_isolated(
         pytest.param(
             "scan",
             marks=pytest.mark.xfail(
-                condition=tuple(map(int, torch.__version__.split('.')[:2])) < (2, 5),
-                reason="PyTorch's associative_scan only exists for torch >= 2.5",
+                condition=tuple(map(int, torch.__version__.split('.')[:2])) < (2, 5)
+                or sys.version_info >= (3, 13),
+                reason="PyTorch's associative_scan only exists for torch >= 2.5 \
+                    and Python < 3.13",
                 strict=True,
             ),
         ),
@@ -787,8 +794,10 @@ def _simulator(thetas: Tensor, num_time_steps=500, dt=0.002, eps=0.05) -> Tensor
 
 
 @pytest.mark.xfail(
-    condition=tuple(map(int, torch.__version__.split('.')[:2])) < (2, 5),
-    reason="PyTorch's associative_scan only exists for torch >= 2.5",
+    condition=tuple(map(int, torch.__version__.split('.')[:2])) < (2, 5)
+    or sys.version_info >= (3, 13),
+    reason="PyTorch's associative_scan only exists for torch >= 2.5 \
+        and Python < 3.13",
     strict=True,
 )
 @pytest.mark.filterwarnings("ignore:Torchinductor")