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from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from ray.rllib.utils.annotations import PublicAPI
class EnvContext(dict):
"""Wraps env configurations to include extra rllib metadata.
These attributes can be used to parameterize environments per process.
For example, one might use `worker_index` to control which data file an
environment reads in on initialization.
RLlib auto-sets these attributes when constructing registered envs.
worker_index (int): When there are multiple workers created, this
uniquely identifies the worker the env is created in.
vector_index (int): When there are multiple envs per worker, this
uniquely identifies the env index within the worker.
remote (bool): Whether environment should be remote or not.
def __init__(self, env_config, worker_index, vector_index=0, remote=False):
dict.__init__(self, env_config)
self.worker_index = worker_index
self.vector_index = vector_index
self.remote = remote
def copy_with_overrides(self,
return EnvContext(
env_config if env_config is not None else self,
worker_index if worker_index is not None else self.worker_index,
vector_index if vector_index is not None else self.vector_index,
remote if remote is not None else self.remote,
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