Remove (object) from class declarations. (#6658)

python/ray/actor.py

@@ -27,7 +27,7 @@ def method(*args, **kwargs):
  .. code-block:: python
 
  @ray.remote
- class Foo(object):
+ class Foo:
  @ray.method(num_return_vals=2)
  def bar(self):
  return 1, 2
@@ -54,7 +54,7 @@ def annotate_method(method):
 
 # Create objects to wrap method invocations. This is done so that we can
 # invoke methods with actor.method.remote() instead of actor.method().
-class ActorMethod(object):
+class ActorMethod:
  """A class used to invoke an actor method.
 
  Note: This class only keeps a weak ref to the actor, unless it has been
@@ -143,7 +143,7 @@ def __setstate__(self, state):
  hardref=True)
 
 
-class ActorClassMetadata(object):
+class ActorClassMetadata:
  """Metadata for an actor class.
 
  Attributes:
@@ -234,7 +234,7 @@ def __init__(self):
  method.__ray_invocation_decorator__)
 
 
-class ActorClass(object):
+class ActorClass:
  """An actor class.
 
  This is a decorated class. It can be used to create actors.
@@ -339,7 +339,7 @@ def options(self, **options):
 
  actor_cls = self
 
- class ActorOptionWrapper(object):
+ class ActorOptionWrapper:
  def remote(self, *args, **kwargs):
  return actor_cls._remote(args=args, kwargs=kwargs, **options)
 
@@ -518,7 +518,7 @@ def _remote(self,
  return actor_handle
 
 
-class ActorHandle(object):
+class ActorHandle:
  """A handle to an actor.
 
  The fields in this class are prefixed with _ray_ to hide them from the user

python/ray/autoscaler/autoscaler.py

@@ -156,7 +156,7 @@
 }
 
 
-class LoadMetrics(object):
+class LoadMetrics:
  """Container for cluster load metrics.
 
  Metrics here are updated from raylet heartbeats. The autoscaler
@@ -355,7 +355,7 @@ def log(self, statement):
  logger.info(prefix + " {}".format(statement))
 
 
-class ConcurrentCounter(object):
+class ConcurrentCounter:
  def __init__(self):
  self._value = 0
  self._lock = threading.Lock()
@@ -377,7 +377,7 @@ def value(self):
  return self._value
 
 
-class StandardAutoscaler(object):
+class StandardAutoscaler:
  """The autoscaling control loop for a Ray cluster.
 
  There are two ways to start an autoscaling cluster: manually by running

python/ray/autoscaler/local/node_provider.py

@@ -19,7 +19,7 @@
 filelock_logger.setLevel(logging.WARNING)
 
 
-class ClusterState(object):
+class ClusterState:
  def __init__(self, lock_path, save_path, provider_config):
  self.lock = RLock()
  self.file_lock = FileLock(lock_path)

python/ray/autoscaler/log_timer.py

@@ -8,7 +8,7 @@
 logger = logging.getLogger(__name__)
 
 
-class LogTimer(object):
+class LogTimer:
  def __init__(self, message):
  self._message = message
 

python/ray/autoscaler/node_provider.py

@@ -129,7 +129,7 @@ def get_default_config(provider_config):
  return defaults
 
 
-class NodeProvider(object):
+class NodeProvider:
  """Interface for getting and returning nodes from a Cloud.
 
  NodeProviders are namespaced by the `cluster_name` parameter; they only

python/ray/autoscaler/updater.py

@@ -37,7 +37,7 @@ def with_interactive(cmd):
  return ["bash", "--login", "-c", "-i", quote(force_interactive + cmd)]
 
 
-class KubernetesCommandRunner(object):
+class KubernetesCommandRunner:
  def __init__(self, log_prefix, namespace, node_id, auth_config,
  process_runner):
 
@@ -149,7 +149,7 @@ def remote_shell_command_str(self):
  self.node_id)
 
 
-class SSHCommandRunner(object):
+class SSHCommandRunner:
  def __init__(self, log_prefix, node_id, provider, auth_config,
  cluster_name, process_runner, use_internal_ip):
 
@@ -284,7 +284,7 @@ def remote_shell_command_str(self):
  self.ssh_ip)
 
 
-class NodeUpdater(object):
+class NodeUpdater:
  """A process for syncing files and running init commands on a node."""
 
  def __init__(self,

python/ray/cluster_utils.py

@@ -13,7 +13,7 @@
 logger = logging.getLogger(__name__)
 
 
-class Cluster(object):
+class Cluster:
  def __init__(self,
  initialize_head=False,
  connect=False,

python/ray/dashboard/dashboard.py

@@ -72,7 +72,7 @@ def format_reply(reply):
  format_reply(item)
 
 
-class Dashboard(object):
+class Dashboard:
  """A dashboard process for monitoring Ray nodes.
 
  This dashboard is made up of a REST API which collates data published by

python/ray/experimental/actor_pool.py

@@ -5,7 +5,7 @@
 import ray
 
 
-class ActorPool(object):
+class ActorPool:
  """Utility class to operate on a fixed pool of actors.
 
  Arguments:

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

@@ -9,7 +9,7 @@
 BLOCK_SIZE = 10
 
 
-class DistArray(object):
+class DistArray:
  def __init__(self, shape, objectids=None):
  self.shape = shape
  self.ndim = len(shape)

python/ray/experimental/async_api.py

@@ -15,7 +15,7 @@
 protocol = None
 
 
-class _ThreadSafeProxy(object):
+class _ThreadSafeProxy:
  """This class is used to create a thread-safe proxy for a given object.
  Every method call will be guarded with a lock.
 

python/ray/experimental/gcs_flush_policy.py

@@ -9,7 +9,7 @@
 import ray.cloudpickle as pickle
 
 
-class GcsFlushPolicy(object):
+class GcsFlushPolicy:
  """Experimental: a policy to control GCS flushing.
 
  Used by Monitor to enable automatic control of memory usage.

python/ray/experimental/multiprocessing/pool.py

@@ -105,7 +105,7 @@ def next_ready_index(self, timeout=None):
  raise TimeoutError
 
 
-class AsyncResult(object):
+class AsyncResult:
  """An asynchronous interface to task results.
 
  This should not be constructed directly.
@@ -168,7 +168,7 @@ def successful(self):
  return not self._result_thread.got_error()
 
 
-class IMapIterator(object):
+class IMapIterator:
  """Base class for OrderedIMapIterator and UnorderedIMapIterator."""
 
  def __init__(self, pool, func, iterable, chunksize=None):
@@ -273,7 +273,7 @@ def next(self, timeout=None):
 
 
 @ray.remote
-class PoolActor(object):
+class PoolActor:
  """Actor used to process tasks submitted to a Pool."""
 
  def __init__(self, initializer=None, initargs=None):
@@ -298,7 +298,7 @@ def run_batch(self, func, batch):
 
 
 # https://docs.python.org/3/library/multiprocessing.html#module-multiprocessing.pool
-class Pool(object):
+class Pool:
  """A pool of actor processes that is used to process tasks in parallel.
 
  Args:

python/ray/experimental/no_return.py

@@ -3,7 +3,7 @@
 from __future__ import print_function
 
 
-class NoReturn(object):
+class NoReturn:
  """Do not store the return value in the object store.
 
  If a task returns this object, then Ray will not store this object in the

python/ray/experimental/queue.py

@@ -16,7 +16,7 @@ class Full(Exception):
  pass
 
 
-class Queue(object):
+class Queue:
  """Queue implementation on Ray.
 
  Args:
@@ -132,7 +132,7 @@ def get_nowait(self):
 
 
 @ray.remote
-class _QueueActor(object):
+class _QueueActor:
  def __init__(self, maxsize):
  self.maxsize = maxsize
  self._init(maxsize)

python/ray/experimental/serve/tests/test_metric.py

@@ -8,7 +8,7 @@
 @pytest.fixture(scope="session")
 def start_target_actor(ray_instance):
  @ray.remote
- class Target(object):
+ class Target:
  def __init__(self):
  self.counter_value = 0
 

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

@@ -17,7 +17,7 @@
 logger = logging.getLogger(__name__)
 
 
-class PyTorchRunner(object):
+class PyTorchRunner:
  """Manages a PyTorch model for training."""
 
  def __init__(self,

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

@@ -21,7 +21,7 @@
 logger = logging.getLogger(__name__)
 
 
-class PyTorchTrainer(object):
+class PyTorchTrainer:
  """Train a PyTorch model using distributed PyTorch.
 
  Launches a set of actors which connect via distributed PyTorch and

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

@@ -108,7 +108,7 @@ def validate(model, val_iterator, criterion, config):
  return stats
 
 
-class AverageMeter(object):
+class AverageMeter:
  """Computes and stores the average and current value."""
 
  def __init__(self):

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

@@ -20,7 +20,7 @@ def _try_import_strategy():
  return tf.distribute.experimental.MultiWorkerMirroredStrategy
 
 
-class TFRunner(object):
+class TFRunner:
  """Manages a TensorFlow model for training."""
 
  def __init__(self, model_creator, data_creator, config=None,

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

@@ -16,7 +16,7 @@
 logger = logging.getLogger(__name__)
 
 
-class TFTrainer(object):
+class TFTrainer:
  def __init__(self,
  model_creator,
  data_creator,

python/ray/experimental/sgd/utils.py

@@ -8,7 +8,7 @@
 import time
 
 
-class TimerStat(object):
+class TimerStat:
  """A running stat for conveniently logging the duration of a code block.
 
  Note that this class is *not* thread-safe.
@@ -108,7 +108,7 @@ def find_free_port():
  return s.getsockname()[1]
 
 
-class AverageMeter(object):
+class AverageMeter:
  """Computes and stores the average and current value."""
 
  def __init__(self):

python/ray/experimental/signal.py

@@ -18,7 +18,7 @@
 logger = logging.getLogger(__name__)
 
 
-class Signal(object):
+class Signal:
  """Base class for Ray signals."""
  pass
 

python/ray/experimental/tf_utils.py

@@ -22,7 +22,7 @@ def unflatten(vector, shapes):
  return arrays
 
 
-class TensorFlowVariables(object):
+class TensorFlowVariables:
  """A class used to set and get weights for Tensorflow networks.
 
  Attributes:

python/ray/function_manager.py

@@ -39,7 +39,7 @@
 logger = logging.getLogger(__name__)
 
 
-class FunctionDescriptor(object):
+class FunctionDescriptor:
  """A class used to describe a python function.
 
  Attributes:
@@ -259,7 +259,7 @@ def is_actor_method(self):
  return len(self._class_name) > 0
 
 
-class FunctionActorManager(object):
+class FunctionActorManager:
  """A class used to export/load remote functions and actors.
 
  Attributes:
@@ -658,7 +658,7 @@ def _load_actor_from_local(self, job_id, function_descriptor):
  class_name))
 
  def _create_fake_actor_class(self, actor_class_name, actor_method_names):
- class TemporaryActor(object):
+ class TemporaryActor:
  pass
 
  def temporary_actor_method(*args, **kwargs):

python/ray/import_thread.py

@@ -19,7 +19,7 @@
 logger = logging.getLogger(__name__)
 
 
-class ImportThread(object):
+class ImportThread:
  """A thread used to import exports from the driver or other workers.
 
  Note: The driver also has an import thread, which is used only to import

python/ray/local_mode_manager.py

@@ -35,7 +35,7 @@ def __deepcopy__(self, memo=None):
  return new
 
 
-class LocalModeManager(object):
+class LocalModeManager:
  """Used to emulate remote operations when running in local mode."""
 
  def __init__(self):