106 lines
2.1 KiB
Python
106 lines
2.1 KiB
Python
from decimal import Decimal
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from functools import reduce
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import numpy as np
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from datetime import timedelta
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from cadCAD.configuration.utils.policyAggregation import get_base_value
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from cadCAD.configuration import append_configs
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from cadCAD.configuration.utils import proc_trigger, bound_norm_random, ep_time_step, config_sim
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seeds = {
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'z': np.random.RandomState(1),
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'a': np.random.RandomState(2),
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'b': np.random.RandomState(3),
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'c': np.random.RandomState(3)
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}
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# Policies per Mechanism
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def p1m1(_g, step, sL, s):
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return {'param1': 1}
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def p2m1(_g, step, sL, s):
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return {'param2': 2}
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# []
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def p1m2(_g, step, sL, s):
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return {'param1': 2, 'param2': 2}
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def p2m2(_g, step, sL, s):
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return {'param1': 2, 'param2': 2}
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def p1m3(_g, step, sL, s):
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return {'param1': 1, 'param2': 2, 'param3': 3}
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def p2m3(_g, step, sL, s):
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return {'param1': 1, 'param2': 2, 'param3': 3}
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def test_pipeline(_g, step, sL, s):
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return {'test': 2, 'param2': 2}
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# Internal States per Mechanism
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def policies(_g, step, sL, s, _input):
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y = 'policies'
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x = _input
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return (y, x)
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# Genesis States
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genesis_states = {
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'policies': {}
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}
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raw_exogenous_states = {}
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env_processes = {}
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partial_state_update_block = {
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"m1": {
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"policies": {
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"b1": p1m1,
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"b2": p2m1
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},
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"variables": {
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"policies": policies
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}
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},
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"m2": {
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"policies": {
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"b1": p1m2,
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"b2": p2m2
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},
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"variables": {
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"policies": policies
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}
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},
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"m3": {
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"policies": {
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"b1": p1m3,
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"b2": p2m3
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},
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"variables": {
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"policies": policies
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}
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}
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}
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sim_config = config_sim(
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{
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"N": 2,
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"T": range(5),
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}
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)
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append_configs(
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sim_configs=sim_config,
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initial_state=genesis_states,
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seeds=seeds,
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raw_exogenous_states=raw_exogenous_states,
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env_processes=env_processes,
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partial_state_update_blocks=partial_state_update_block,
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policy_ops=[lambda a, b: a + b] # , lambda y: y + 100, lambda y: y + 300
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) |