# MIT License
# Copyright (c) 2021 MARL @ SJTU
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# SOFTWARE.
from abc import ABC, abstractmethod
from types import LambdaType
from typing import Callable, Union, Dict, Any
from copy import deepcopy
DEFAULT_STOPPING_CONDITIONS = {}
[docs]class Scenario(ABC):
@abstractmethod
def __init__(
self,
name: str,
log_dir: str,
env_desc: Dict[str, Any],
algorithms: Dict[str, Any],
agent_mapping_func: LambdaType,
training_config: Dict[str, Any],
rollout_config: Dict[str, Any],
stopping_conditions: Dict[str, Any],
dataset_config: Dict[str, Any],
parameter_server_config: Dict[str, Any],
):
self.name = name
self.log_dir = log_dir
self.env_desc = env_desc
self.algorithms = algorithms
self.agent_mapping_func = agent_mapping_func
self.training_config = training_config
self.rollout_config = rollout_config
self.stopping_conditions = stopping_conditions or DEFAULT_STOPPING_CONDITIONS
self.dataset_config = dataset_config or {"table_capacity": 1000}
self.parameter_server_config = parameter_server_config or {}
self.parameter_server = None
self.offline_dataset_server = None
[docs] def copy(self):
return deepcopy(self)
[docs] def with_updates(self, **kwargs) -> "Scenario":
new_copy = self.copy()
for k, v in kwargs.items():
if not hasattr(new_copy, k):
raise KeyError(f"{k} is not an attribute of {new_copy.__class__}")
setattr(new_copy, k, v)
return new_copy