Replace '__main__' with "__main__". (#4055)

python/ray/rllib/optimizers/tests/test_segment_tree.py

@@ -99,7 +99,7 @@ def test_max_interval_tree():
     assert np.isclose(tree.min(3, 4), 3.0)
 
 
-if __name__ == '__main__':
+if __name__ == "__main__":
     test_tree_set()
     test_tree_set_overlap()
     test_prefixsum_idx()

python/ray/rllib/test/run_regression_tests.py

@@ -10,7 +10,7 @@ import sys
 import ray
 from ray.tune import run_experiments
 
-if __name__ == '__main__':
+if __name__ == "__main__":
 
     ray.init()
 

python/ray/rllib/test/test_evaluators.py

@@ -40,5 +40,5 @@ class DQNTest(unittest.TestCase):
         self.assertNotEqual(r3["evaluation"], r4["evaluation"])
 
 
-if __name__ == '__main__':
+if __name__ == "__main__":
     unittest.main(verbosity=2)

python/ray/rllib/test/test_external_env.py

@@ -195,6 +195,6 @@ class TestExternalEnv(unittest.TestCase):
         self.assertRaises(ValueError, lambda: ev.sample())
 
 
-if __name__ == '__main__':
+if __name__ == "__main__":
     ray.init()
     unittest.main(verbosity=2)

python/ray/rllib/test/test_multi_agent_env.py

@@ -557,6 +557,6 @@ class TestMultiAgentEnv(unittest.TestCase):
         raise Exception("failed to improve reward")
 
 
-if __name__ == '__main__':
+if __name__ == "__main__":
     ray.init()
     unittest.main(verbosity=2)

python/ray/rllib/test/test_optimizers.py

@@ -235,5 +235,5 @@ class AsyncSamplesOptimizerTest(unittest.TestCase):
         raise AssertionError("TIMED OUT", optimizer.stats())
 
 
-if __name__ == '__main__':
+if __name__ == "__main__":
     unittest.main(verbosity=2)

python/ray/rllib/test/test_policy_evaluator.py

@@ -416,6 +416,6 @@ class TestPolicyEvaluator(unittest.TestCase):
         return obs_f
 
 
-if __name__ == '__main__':
+if __name__ == "__main__":
     ray.init(num_cpus=5)
     unittest.main(verbosity=2)