refactored import statements as 'import axelrod as axl' in axelrod/tests/integration/* and axelrod/tests/property.py

Author: sudarshan-parvatikar

axelrod/tests/integration/test_filtering.py

@@ -1,7 +1,8 @@
 import unittest
 
-from axelrod import filtered_strategies, seed, short_run_time_strategies
+import axelrod as axl
 from axelrod.tests.property import strategy_lists
+
 from hypothesis import example, given, settings
 from hypothesis.strategies import integers
 
@@ -26,7 +27,7 @@ def test_boolean_filtering(self, strategies):
         for classifier in classifiers:
             comprehension = set([s for s in strategies if s.classifier[classifier]])
             filterset = {classifier: True}
-        filtered = set(filtered_strategies(filterset, strategies=strategies))
+        filtered = set(axl.filtered_strategies(filterset, strategies=strategies))
         self.assertEqual(comprehension, filtered)
 
     @given(
@@ -39,7 +40,7 @@ def test_boolean_filtering(self, strategies):
         min_memory_depth=float("inf"),
         max_memory_depth=float("inf"),
         memory_depth=float("inf"),
-        strategies=short_run_time_strategies,
+        strategies=axl.short_run_time_strategies,
     )
     @settings(max_examples=5)
     def test_memory_depth_filtering(
@@ -55,7 +56,7 @@ def test_memory_depth_filtering(
             ]
         )
         min_filterset = {"min_memory_depth": min_memory_depth}
-        min_filtered = set(filtered_strategies(min_filterset,
+        min_filtered = set(axl.filtered_strategies(min_filterset,
                                                strategies=strategies))
         self.assertEqual(min_comprehension, min_filtered)
 
@@ -67,7 +68,7 @@ def test_memory_depth_filtering(
             ]
         )
         max_filterset = {"max_memory_depth": max_memory_depth}
-        max_filtered = set(filtered_strategies(max_filterset,
+        max_filtered = set(axl.filtered_strategies(max_filterset,
                                                strategies=strategies))
         self.assertEqual(max_comprehension, max_filtered)
 
@@ -79,7 +80,7 @@ def test_memory_depth_filtering(
             ]
         )
         filterset = {"memory_depth": memory_depth}
-        filtered = set(filtered_strategies(filterset, strategies=strategies))
+        filtered = set(axl.filtered_strategies(filterset, strategies=strategies))
         self.assertEqual(comprehension, filtered)
 
     @given(seed_=integers(min_value=0, max_value=4294967295),
@@ -95,7 +96,7 @@ def test_makes_use_of_filtering(self, seed_, strategies):
         classifiers = [["game"], ["length"], ["game", "length"]]
 
         for classifier in classifiers:
-            seed(seed_)
+            axl.seed(seed_)
             comprehension = set(
                 [
                     s
@@ -104,9 +105,9 @@ def test_makes_use_of_filtering(self, seed_, strategies):
                 ]
             )
 
-            seed(seed_)
+            axl.seed(seed_)
             filterset = {"makes_use_of": classifier}
-            filtered = set(filtered_strategies(filterset, strategies=strategies))
+            filtered = set(axl.filtered_strategies(filterset, strategies=strategies))
 
             self.assertEqual(
                 comprehension, filtered, msg="classifier: {}".format(classifier)

axelrod/tests/integration/test_matches.py

@@ -1,19 +1,19 @@
 """Tests for some expected match behaviours"""
 import unittest
 
-import axelrod
+import axelrod as axl
 from axelrod.tests.property import strategy_lists
 
 from hypothesis import given, settings
 from hypothesis.strategies import integers
 
-C, D = axelrod.Action.C, axelrod.Action.D
+C, D = axl.Action.C, axl.Action.D
 
 deterministic_strategies = [
-    s for s in axelrod.short_run_time_strategies if not s().classifier["stochastic"]
+    s for s in axl.short_run_time_strategies if not s().classifier["stochastic"]
 ]
 stochastic_strategies = [
-    s for s in axelrod.short_run_time_strategies if s().classifier["stochastic"]
+    s for s in axl.short_run_time_strategies if s().classifier["stochastic"]
 ]
 
 
@@ -29,7 +29,7 @@ def test_outcome_repeats(self, strategies, turns):
         """A test that if we repeat 3 matches with deterministic and well
         behaved strategies then we get the same result"""
         players = [s() for s in strategies]
-        matches = [axelrod.Match(players, turns) for _ in range(3)]
+        matches = [axl.Match(players, turns) for _ in range(3)]
         self.assertEqual(matches[0].play(), matches[1].play())
         self.assertEqual(matches[1].play(), matches[2].play())
 
@@ -46,9 +46,9 @@ def test_outcome_repeats_stochastic(self, strategies, turns, seed):
         same result"""
         results = []
         for _ in range(3):
-            axelrod.seed(seed)
+            axl.seed(seed)
             players = [s() for s in strategies]
-            results.append(axelrod.Match(players, turns).play())
+            results.append(axl.Match(players, turns).play())
 
         self.assertEqual(results[0], results[1])
         self.assertEqual(results[1], results[2])
@@ -57,15 +57,15 @@ def test_matches_with_det_player_for_stochastic_classes(self):
         """A test based on a bug found in the cache.
 
         See: https://github.com/Axelrod-Python/Axelrod/issues/779"""
-        p1 = axelrod.MemoryOnePlayer(four_vector=(0, 0, 0, 0))
-        p2 = axelrod.MemoryOnePlayer(four_vector=(1, 0, 1, 0))
-        p3 = axelrod.MemoryOnePlayer(four_vector=(1, 1, 1, 0))
+        p1 = axl.MemoryOnePlayer(four_vector=(0, 0, 0, 0))
+        p2 = axl.MemoryOnePlayer(four_vector=(1, 0, 1, 0))
+        p3 = axl.MemoryOnePlayer(four_vector=(1, 1, 1, 0))
 
-        m = axelrod.Match((p1, p2), turns=3)
+        m = axl.Match((p1, p2), turns=3)
         self.assertEqual(m.play(), [(C, C), (D, C), (D, D)])
 
-        m = axelrod.Match((p2, p3), turns=3)
+        m = axl.Match((p2, p3), turns=3)
         self.assertEqual(m.play(), [(C, C), (C, C), (C, C)])
 
-        m = axelrod.Match((p1, p3), turns=3)
+        m = axl.Match((p1, p3), turns=3)
         self.assertEqual(m.play(), [(C, C), (D, C), (D, C)])

axelrod/tests/integration/test_names.py

@@ -1,13 +1,13 @@
 import unittest
 
-from axelrod import all_strategies
+import axelrod as axl
 
 
 class TestNames(unittest.TestCase):
     def test_all_strategies_have_names(self):
-        names = [s.name for s in all_strategies if s.name]
-        self.assertEqual(len(names), len(all_strategies))
+        names = [s.name for s in axl.all_strategies if s.name]
+        self.assertEqual(len(names), len(axl.all_strategies))
 
     def test_all_names_are_unique(self):
-        names = set(s.name for s in all_strategies)
-        self.assertEqual(len(names), len(all_strategies))
+        names = set(s.name for s in axl.all_strategies)
+        self.assertEqual(len(names), len(axl.all_strategies))

axelrod/tests/integration/test_sample_tournaments.py

@@ -1,25 +1,25 @@
 import unittest
 
-import axelrod
+import axelrod as axl
 
-C, D = axelrod.Action.C, axelrod.Action.D
+C, D = axl.Action.C, axl.Action.D
 
 
 class TestSampleTournaments(unittest.TestCase):
     @classmethod
     def setUpClass(cls):
-        cls.game = axelrod.Game()
+        cls.game = axl.Game()
 
     @classmethod
     def get_test_outcome(cls, outcome, turns=10):
 
         # Extract the name of players from the outcome tuples,
         # and initiate the players by getting the classes from axelrod.
         names = [out[0] for out in outcome]
-        players = [getattr(axelrod, n)() for n in names]
+        players = [getattr(axl, n)() for n in names]
 
         # Play the tournament and build the actual outcome tuples.
-        tournament = axelrod.Tournament(
+        tournament = axl.Tournament(
             players=players, game=cls.game, turns=turns, repetitions=1
         )
         results = tournament.play(progress_bar=False)

axelrod/tests/integration/test_tournament.py

@@ -1,23 +1,24 @@
-import filecmp
 import unittest
 
+import filecmp
+
 from hypothesis import given, settings
 
-import axelrod
+import axelrod as axl
 from axelrod.strategy_transformers import FinalTransformer
 from axelrod.tests.property import tournaments
 
 
 class TestTournament(unittest.TestCase):
     @classmethod
     def setUpClass(cls):
-        cls.game = axelrod.Game()
+        cls.game = axl.Game()
         cls.players = [
-            axelrod.Cooperator(),
-            axelrod.TitForTat(),
-            axelrod.Defector(),
-            axelrod.Grudger(),
-            axelrod.GoByMajority(),
+            axl.Cooperator(),
+            axl.TitForTat(),
+            axl.Defector(),
+            axl.Grudger(),
+            axl.GoByMajority(),
         ]
         cls.player_names = [str(p) for p in cls.players]
         cls.test_name = "test"
@@ -33,7 +34,7 @@ def setUpClass(cls):
         cls.expected_outcome.sort()
 
     @given(tournaments(
-        strategies=axelrod.short_run_time_strategies,
+        strategies=axl.short_run_time_strategies,
         min_size=10,
         max_size=30,
         min_turns=2,
@@ -51,7 +52,7 @@ def test_big_tournaments(self, tournament):
         )
 
     def test_serial_play(self):
-        tournament = axelrod.Tournament(
+        tournament = axl.Tournament(
             name=self.test_name,
             players=self.players,
             game=self.game,
@@ -63,7 +64,7 @@ def test_serial_play(self):
         self.assertEqual(actual_outcome, self.expected_outcome)
 
     def test_parallel_play(self):
-        tournament = axelrod.Tournament(
+        tournament = axl.Tournament(
             name=self.test_name,
             players=self.players,
             game=self.game,
@@ -78,12 +79,12 @@ def test_repeat_tournament_deterministic(self):
         """A test to check that tournament gives same results."""
         deterministic_players = [
             s()
-            for s in axelrod.short_run_time_strategies
+            for s in axl.short_run_time_strategies
             if not s().classifier["stochastic"]
         ]
         files = []
         for _ in range(2):
-            tournament = axelrod.Tournament(
+            tournament = axl.Tournament(
                 name="test",
                 players=deterministic_players,
                 game=self.game,
@@ -100,13 +101,13 @@ def test_repeat_tournament_stochastic(self):
         """
         files = []
         for _ in range(2):
-            axelrod.seed(0)
+            axl.seed(0)
             stochastic_players = [
                 s()
-                for s in axelrod.short_run_time_strategies
+                for s in axl.short_run_time_strategies
                 if s().classifier["stochastic"]
             ]
-            tournament = axelrod.Tournament(
+            tournament = axl.Tournament(
                 name="test",
                 players=stochastic_players,
                 game=self.game,
@@ -121,14 +122,14 @@ def test_repeat_tournament_stochastic(self):
 class TestNoisyTournament(unittest.TestCase):
     def test_noisy_tournament(self):
         # Defector should win for low noise
-        players = [axelrod.Cooperator(), axelrod.Defector()]
-        tournament = axelrod.Tournament(players, turns=5, repetitions=3, noise=0.0)
+        players = [axl.Cooperator(), axl.Defector()]
+        tournament = axl.Tournament(players, turns=5, repetitions=3, noise=0.0)
         results = tournament.play(progress_bar=False)
         self.assertEqual(results.ranked_names[0], "Defector")
 
         # If the noise is large enough, cooperator should win
-        players = [axelrod.Cooperator(), axelrod.Defector()]
-        tournament = axelrod.Tournament(players, turns=5, repetitions=3, noise=0.75)
+        players = [axl.Cooperator(), axl.Defector()]
+        tournament = axl.Tournament(players, turns=5, repetitions=3, noise=0.75)
         results = tournament.play(progress_bar=False)
         self.assertEqual(results.ranked_names[0], "Cooperator")
 
@@ -138,10 +139,10 @@ def test_players_do_not_know_match_length(self):
         """Create two players who should cooperate on last two turns if they
         don't know when those last two turns are.
         """
-        p1 = FinalTransformer(["D", "D"])(axelrod.Cooperator)()
-        p2 = FinalTransformer(["D", "D"])(axelrod.Cooperator)()
+        p1 = FinalTransformer(["D", "D"])(axl.Cooperator)()
+        p2 = FinalTransformer(["D", "D"])(axl.Cooperator)()
         players = [p1, p2]
-        tournament = axelrod.Tournament(players, prob_end=0.5, repetitions=1)
+        tournament = axl.Tournament(players, prob_end=0.5, repetitions=1)
         results = tournament.play(progress_bar=False)
         # Check that both plays always cooperated
         for rating in results.cooperating_rating:
@@ -152,12 +153,12 @@ def test_matches_have_different_length(self):
         A match between two players should have variable length across the
         repetitions
         """
-        p1 = axelrod.Cooperator()
-        p2 = axelrod.Cooperator()
-        p3 = axelrod.Cooperator()
+        p1 = axl.Cooperator()
+        p2 = axl.Cooperator()
+        p3 = axl.Cooperator()
         players = [p1, p2, p3]
-        axelrod.seed(0)
-        tournament = axelrod.Tournament(players, prob_end=0.5, repetitions=2)
+        axl.seed(0)
+        tournament = axl.Tournament(players, prob_end=0.5, repetitions=2)
         results = tournament.play(progress_bar=False)
         # Check that match length are different across the repetitions
         self.assertNotEqual(results.match_lengths[0], results.match_lengths[1])