Move test folders under rllib/tune from test -> tests. (#4214)

python/ray/rllib/examples/multiagent_cartpole.py

@@ -23,7 +23,7 @@ import ray
 from ray import tune
 from ray.rllib.agents.ppo.ppo_policy_graph import PPOPolicyGraph
 from ray.rllib.models import Model, ModelCatalog
-from ray.rllib.test.test_multi_agent_env import MultiCartpole
+from ray.rllib.tests.test_multi_agent_env import MultiCartpole
 from ray.tune import run_experiments
 from ray.tune.registry import register_env
 

python/ray/rllib/examples/multiagent_two_trainers.py

@@ -19,7 +19,7 @@ from ray.rllib.agents.dqn.dqn import DQNAgent
 from ray.rllib.agents.dqn.dqn_policy_graph import DQNPolicyGraph
 from ray.rllib.agents.ppo.ppo import PPOAgent
 from ray.rllib.agents.ppo.ppo_policy_graph import PPOPolicyGraph
-from ray.rllib.test.test_multi_agent_env import MultiCartpole
+from ray.rllib.tests.test_multi_agent_env import MultiCartpole
 from ray.tune.logger import pretty_print
 from ray.tune.registry import register_env
 

python/ray/rllib/tests/multiagent_pendulum.py

@@ -5,7 +5,7 @@ from __future__ import division
 from __future__ import print_function
 
 import ray
-from ray.rllib.test.test_multi_agent_env import make_multiagent
+from ray.rllib.tests.test_multi_agent_env import make_multiagent
 from ray.tune import run_experiments
 from ray.tune.registry import register_env
 

python/ray/rllib/tests/test_external_env.py

@@ -13,8 +13,8 @@ from ray.rllib.agents.dqn import DQNAgent
 from ray.rllib.agents.pg import PGAgent
 from ray.rllib.evaluation.policy_evaluator import PolicyEvaluator
 from ray.rllib.env.external_env import ExternalEnv
-from ray.rllib.test.test_policy_evaluator import BadPolicyGraph, \
-    MockPolicyGraph, MockEnv
+from ray.rllib.tests.test_policy_evaluator import (BadPolicyGraph,
+                                                   MockPolicyGraph, MockEnv)
 from ray.tune.registry import register_env
 
 

python/ray/rllib/tests/test_filters.py

@@ -8,7 +8,7 @@ import numpy as np
 import ray
 from ray.rllib.utils.filter import RunningStat, MeanStdFilter
 from ray.rllib.utils import FilterManager
-from ray.rllib.test.mock_evaluator import _MockEvaluator
+from ray.rllib.tests.mock_evaluator import _MockEvaluator
 
 
 class RunningStatTest(unittest.TestCase):

python/ray/rllib/tests/test_io.py

@@ -19,7 +19,7 @@ from ray.rllib.agents.pg.pg_policy_graph import PGPolicyGraph
 from ray.rllib.evaluation import SampleBatch
 from ray.rllib.offline import IOContext, JsonWriter, JsonReader
 from ray.rllib.offline.json_writer import _to_json
-from ray.rllib.test.test_multi_agent_env import MultiCartpole
+from ray.rllib.tests.test_multi_agent_env import MultiCartpole
 from ray.tune.registry import register_env
 
 SAMPLES = SampleBatch({

python/ray/rllib/tests/test_multi_agent_env.py

@@ -10,10 +10,10 @@ import ray
 from ray.rllib.agents.pg import PGAgent
 from ray.rllib.agents.pg.pg_policy_graph import PGPolicyGraph
 from ray.rllib.agents.dqn.dqn_policy_graph import DQNPolicyGraph
-from ray.rllib.optimizers import SyncSamplesOptimizer, \
-    SyncReplayOptimizer, AsyncGradientsOptimizer
-from ray.rllib.test.test_policy_evaluator import MockEnv, MockEnv2, \
-    MockPolicyGraph
+from ray.rllib.optimizers import (SyncSamplesOptimizer, SyncReplayOptimizer,
+                                  AsyncGradientsOptimizer)
+from ray.rllib.tests.test_policy_evaluator import (MockEnv, MockEnv2,
+                                                   MockPolicyGraph)
 from ray.rllib.evaluation.policy_evaluator import PolicyEvaluator
 from ray.rllib.evaluation.policy_graph import PolicyGraph
 from ray.rllib.evaluation.metrics import collect_metrics

python/ray/rllib/tests/test_nested_spaces.py

@@ -23,7 +23,7 @@ from ray.rllib.models.model import Model
 from ray.rllib.models.pytorch.fcnet import FullyConnectedNetwork
 from ray.rllib.models.pytorch.model import TorchModel
 from ray.rllib.rollout import rollout
-from ray.rllib.test.test_external_env import SimpleServing
+from ray.rllib.tests.test_external_env import SimpleServing
 from ray.tune.registry import register_env
 
 DICT_SPACE = spaces.Dict({

python/ray/rllib/tests/test_optimizers.py

@@ -14,7 +14,7 @@ from ray.rllib.agents.ppo.ppo_policy_graph import PPOPolicyGraph
 from ray.rllib.evaluation import SampleBatch
 from ray.rllib.evaluation.policy_evaluator import PolicyEvaluator
 from ray.rllib.optimizers import AsyncGradientsOptimizer, AsyncSamplesOptimizer
-from ray.rllib.test.mock_evaluator import _MockEvaluator
+from ray.rllib.tests.mock_evaluator import _MockEvaluator
 
 
 class AsyncOptimizerTest(unittest.TestCase):

python/ray/rllib/tests/test_supported_spaces.py

@@ -9,7 +9,8 @@ import sys
 
 import ray
 from ray.rllib.agents.registry import get_agent_class
-from ray.rllib.test.test_multi_agent_env import MultiCartpole, MultiMountainCar
+from ray.rllib.tests.test_multi_agent_env import (MultiCartpole,
+                                                  MultiMountainCar)
 from ray.rllib.utils.error import UnsupportedSpaceException
 from ray.tune.registry import register_env