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33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from ray.rllib.utils.annotations import PublicAPI
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@PublicAPI
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class EnvContext(dict):
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"""Wraps env configurations to include extra rllib metadata.
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These attributes can be used to parameterize environments per process.
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For example, one might use `worker_index` to control which data file an
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environment reads in on initialization.
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RLlib auto-sets these attributes when constructing registered envs.
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Attributes:
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worker_index (int): When there are multiple workers created, this
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uniquely identifies the worker the env is created in.
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vector_index (int): When there are multiple envs per worker, this
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uniquely identifies the env index within the worker.
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"""
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def __init__(self, env_config, worker_index, vector_index=0):
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dict.__init__(self, env_config)
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self.worker_index = worker_index
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self.vector_index = vector_index
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def with_vector_index(self, vector_index):
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return EnvContext(
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self, worker_index=self.worker_index, vector_index=vector_index)
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