Remove future imports (#6724)

* Remove all __future__ imports from RLlib.

* Remove (object) again from tf_run_builder.py::TFRunBuilder.

* Fix 2xLINT warnings.

* Fix broken appo_policy import (must be appo_tf_policy)

* Remove future imports from all other ray files (not just RLlib).

* Remove future imports from all other ray files (not just RLlib).

* Remove future import blocks that contain `unicode_literals` as well.
Revert appo_tf_policy.py to appo_policy.py (belongs to another PR).

* Add two empty lines before Schedule class.

* Put back __future__ imports into determine_tests_to_run.py. Fails otherwise on a py2/print related error.

python/ray/experimental/__init__.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from .gcs_flush_policy import (set_flushing_policy, GcsFlushPolicy,
                                SimpleGcsFlushPolicy)
 from .named_actors import get_actor, register_actor

python/ray/experimental/actor_pool.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import ray
 
 

python/ray/experimental/api.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import ray
 import numpy as np
 

python/ray/experimental/array/distributed/__init__.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from . import random
 from . import linalg
 from .core import (BLOCK_SIZE, DistArray, assemble, zeros, ones, copy, eye,

python/ray/experimental/array/distributed/core.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import numpy as np
 import ray.experimental.array.remote as ra
 import ray

python/ray/experimental/array/distributed/linalg.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import numpy as np
 import ray.experimental.array.remote as ra
 import ray

python/ray/experimental/array/distributed/random.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import numpy as np
 import ray.experimental.array.remote as ra
 import ray

python/ray/experimental/array/remote/__init__.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from . import random
 from . import linalg
 from .core import (zeros, zeros_like, ones, eye, dot, vstack, hstack, subarray,

python/ray/experimental/array/remote/core.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import numpy as np
 import ray
 

python/ray/experimental/array/remote/linalg.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import numpy as np
 import ray
 

python/ray/experimental/array/remote/random.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import numpy as np
 import ray
 

python/ray/experimental/gcs_flush_policy.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import os
 import time
 

python/ray/experimental/internal_kv.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import ray
 
 _local = {}  # dict for local mode

python/ray/experimental/multiprocessing/pool.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from multiprocessing import TimeoutError
 import os
 import time

python/ray/experimental/named_actors.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import ray
 import ray.cloudpickle as pickle
 from ray.experimental.internal_kv import _internal_kv_get, _internal_kv_put

python/ray/experimental/no_return.py

@@ -1,8 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
-
 class NoReturn:
     """Do not store the return value in the object store.
 

python/ray/experimental/queue.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from collections import deque
 import time
 

python/ray/experimental/sgd/examples/cifar_pytorch_example.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import os
 import torch
 import torch.nn as nn

python/ray/experimental/sgd/examples/cifar_tf_example.py

@@ -4,10 +4,6 @@
 It gets to 75% validation accuracy in 25 epochs, and 79% after 50 epochs.
 (it"s still underfitting at that point, though).
 """
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import argparse
 
 from tensorflow.keras.datasets import cifar10

python/ray/experimental/sgd/examples/tensorflow_train_example.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import argparse
 import tensorflow as tf
 from tensorflow.keras.models import Sequential

python/ray/experimental/sgd/examples/train_example.py

@@ -8,10 +8,6 @@ in the documentation.
 
 # yapf: disable
 # __torch_train_example__
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import argparse
 import numpy as np
 import torch

python/ray/experimental/sgd/examples/tune_example.py

@@ -8,10 +8,6 @@ in the documentation.
 """
 
 # __torch_tune_example__
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import numpy as np
 import torch
 import torch.nn as nn

python/ray/experimental/sgd/pytorch/__init__.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from ray.experimental.sgd.pytorch.pytorch_trainer import (PyTorchTrainer,
                                                           PyTorchTrainable)
 

python/ray/experimental/sgd/pytorch/distributed_pytorch_runner.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import collections
 from filelock import FileLock
 import logging

python/ray/experimental/sgd/pytorch/examples/dcgan.py

@@ -1,9 +1,5 @@
 #!/usr/bin/env python
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import argparse
 import os
 import torch

python/ray/experimental/sgd/pytorch/pytorch_runner.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import collections
 from filelock import FileLock
 import logging

python/ray/experimental/sgd/pytorch/pytorch_trainer.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import numpy as np
 import os
 import torch

python/ray/experimental/sgd/pytorch/utils.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import collections
 import time
 import torch

python/ray/experimental/sgd/tests/test_pytorch.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import os
 import pytest
 import tempfile

python/ray/experimental/sgd/tests/test_pytorch_runner.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import numpy as np
 import torch
 import torch.nn as nn

python/ray/experimental/sgd/tests/test_tensorflow.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import os
 import pytest
 import tempfile

python/ray/experimental/sgd/tf/__init__.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from ray.experimental.sgd.tf.tf_trainer import (TFTrainer, TFTrainable)
 
 __all__ = ["TFTrainer", "TFTrainable"]

python/ray/experimental/sgd/tf/tf_runner.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import logging
 import json
 import os

python/ray/experimental/sgd/tf/tf_trainer.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import numpy as np
 import os
 import logging

python/ray/experimental/sgd/utils.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from contextlib import closing
 import numpy as np
 import socket

python/ray/experimental/signal.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import logging
 
 from collections import defaultdict

python/ray/experimental/test/async_test.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 import asyncio
 import time
 

python/ray/experimental/tf_utils.py

@@ -1,7 +1,3 @@
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
-
 from collections import deque, OrderedDict
 import numpy as np