Long run time

Author: moderouin

axelrod/data/all_classifiers.yml

@@ -441,7 +441,7 @@ Evolved ANN 5 Noise 05:
   stochastic: false
 EvolvedAttention:
   inspects_source: false
-  long_run_time: false
+  long_run_time: True
   makes_use_of: !!set {}
   manipulates_source: false
   manipulates_state: false

axelrod/strategies/attention.py

@@ -344,7 +344,7 @@ class EvolvedAttention(Player):
     classifier = {
         "memory_depth": MEMORY_LENGTH,
         "stochastic": False,
-        "long_run_time": False,
+        "long_run_time": True,
         "inspects_source": False,
         "manipulates_source": False,
         "manipulates_state": False,

axelrod/tests/strategies/test_attention.py

@@ -80,7 +80,7 @@ class TestEvolvedAttention(TestPlayer):
         "memory_depth": MEMORY_LENGTH,
         "stochastic": False,
         "makes_use_of": set(),
-        "long_run_time": False,
+        "long_run_time": True,
         "inspects_source": False,
         "manipulates_source": False,
         "manipulates_state": False,

axelrod/tournament.py

@@ -5,6 +5,8 @@
 from collections import defaultdict
 from multiprocessing import Process, Queue, cpu_count, set_start_method
 
+# This is necessary for the code to work on Linux
+# torch multiprocessing is not compatible with the default 'fork' method
 set_start_method("spawn", force=True)
 from tempfile import mkstemp
 from typing import List, Optional, Tuple

docs/how-to/classify_strategies.rst

@@ -110,7 +110,7 @@ Some strategies have been classified as having a particularly long run time::
     ... }
     >>> strategies = axl.filtered_strategies(filterset)
     >>> len(strategies)
-    18
+    19
 
 Strategies that :code:`manipulate_source`, :code:`manipulate_state`
 and/or :code:`inspect_source` return :code:`False` for the