RLLIB and pylintrc (ray-project#8995)

Author: ijrsvt

pylintrc

@@ -7,11 +7,11 @@
 # pygtk.require().
 #init-hook=
 
-# Add files or directories to the blacklist. They should be base names, not
+# Add files or directories to the ignore list. They should be base names, not
 # paths.
 ignore=CVS
 
-# Add files or directories matching the regex patterns to the blacklist. The
+# Add files or directories matching the regex patterns to the ignore list. The
 # regex matches against base names, not paths.
 ignore-patterns=
 
@@ -32,7 +32,7 @@ unsafe-load-any-extension=no
 # A comma-separated list of package or module names from where C extensions may
 # be loaded. Extensions are loading into the active Python interpreter and may
 # run arbitrary code
-extension-pkg-whitelist=
+extension-pkg-allow-list=
 
 # Allow optimization of some AST trees. This will activate a peephole AST
 # optimizer, which will apply various small optimizations. For instance, it can

rllib/agents/trainer.py

@@ -343,7 +343,7 @@
         "policies": {},
         # Function mapping agent ids to policy ids.
         "policy_mapping_fn": None,
-        # Optional whitelist of policies to train, or None for all policies.
+        # Optional list of policies to train, or None for all policies.
         "policies_to_train": None,
         # Optional function that can be used to enhance the local agent
         # observations to include more state.

rllib/evaluation/rollout_worker.py

@@ -164,7 +164,7 @@ def __init__(self,
                 policy ids in multi-agent mode. This function will be called
                 each time a new agent appears in an episode, to bind that agent
                 to a policy for the duration of the episode.
-            policies_to_train (list): Optional whitelist of policies to train,
+            policies_to_train (list): Optional list of policies to train,
                 or None for all policies.
             tf_session_creator (func): A function that returns a TF session.
                 This is optional and only useful with TFPolicy.