65 lines
2.7 KiB
Python
65 lines
2.7 KiB
Python
from pathos.multiprocessing import ProcessingPool as Pool
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import pandas as pd
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from tabulate import tabulate
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from SimCAD.utils import flatten
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from SimCAD.utils.ui import create_tensor_field
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from SimCAD.utils.configProcessor import generate_config
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class ExecutionContext(object):
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def __init__(self):
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def parallelize_simulations(fs, states_list, configs, env_processes, Ts, Ns):
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l = list(zip(fs, states_list, configs, env_processes, Ts, Ns))
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with Pool(len(configs)) as p:
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results = p.map(lambda t: t[0](t[1], t[2], t[3], t[4], t[5]), l)
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return results
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self.parallelize_simulations = parallelize_simulations
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class Executor(object):
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def __init__(self, ExecutionContext, configs):
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from SimCAD.engine.simulation import Executor
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def execute():
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ec = ExecutionContext()
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print(configs)
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states_lists, Ts, Ns, eps, configs_struct, env_processes, mechanisms, simulation_execs = \
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[], [], [], [], [], [], [], []
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config_idx = 0
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for x in configs:
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states_lists.append([x.state_dict])
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Ts.append(x.sim_config['T'])
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Ns.append(x.sim_config['N'])
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eps.append(list(x.exogenous_states.values()))
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configs_struct.append(generate_config(x.state_dict, x.mechanisms, eps[config_idx]))
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env_processes.append(x.env_processes)
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mechanisms.append(x.mechanisms)
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simulation_execs.append(Executor(x.behavior_ops).simulation)
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config_idx += 1
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# Dimensions: N x r x mechs
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if len(configs) > 1:
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simulations = ec.parallelize_simulations(simulation_execs, states_lists, configs_struct, env_processes, Ts, Ns)
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for result, mechanism, ep in list(zip(simulations, mechanisms, eps)):
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print(tabulate(create_tensor_field(mechanism, ep), headers='keys', tablefmt='psql'))
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print(tabulate(pd.DataFrame(flatten(result)), headers='keys', tablefmt='psql'))
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else:
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print('single note')
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simulation, states_list, config = simulation_execs.pop(), states_lists.pop(), configs_struct.pop()
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env_process = env_processes.pop()
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# simulations = [simulation(states_list, config, env_processes, T, N)]
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# behavior_ops, states_list, configs, env_processes, time_seq, runs
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# result = simulation(states_list1, config1, conf1.env_processes, T, N)
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# return pd.DataFrame(flatten(result))
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self.ExecutionContext = ExecutionContext
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self.main = execute |