146 lines
3.1 KiB
Python
146 lines
3.1 KiB
Python
import numpy as np
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from datetime import timedelta
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from cadCAD.configuration import append_configs
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from cadCAD.configuration.utils import bound_norm_random, config_sim, env_trigger, time_step
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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(4)
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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': 4}
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def p1m2(_g, step, sL, s):
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return {'param1': 'a', 'param2': 2}
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def p2m2(_g, step, sL, s):
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return {'param1': 'b', 'param2': 4}
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def p1m3(_g, step, sL, s):
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return {'param1': ['c'], 'param2': np.array([10, 100])}
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def p2m3(_g, step, sL, s):
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return {'param1': ['d'], 'param2': np.array([20, 200])}
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# Internal States per Mechanism
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def s1m1(_g, step, sL, s, _input):
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y = 's1'
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x = _input['param1']
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return (y, x)
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def s2m1(_g, step, sL, s, _input):
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y = 's2'
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x = _input['param2']
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return (y, x)
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def s1m2(_g, step, sL, s, _input):
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y = 's1'
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x = _input['param1']
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return (y, x)
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def s2m2(_g, step, sL, s, _input):
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y = 's2'
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x = _input['param2']
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return (y, x)
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def s1m3(_g, step, sL, s, _input):
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y = 's1'
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x = _input['param1']
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return (y, x)
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def s2m3(_g, step, sL, s, _input):
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y = 's2'
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x = _input['param2']
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return (y, x)
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# Exogenous States
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proc_one_coef_A = 0.7
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proc_one_coef_B = 1.3
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def es3(_g, step, sL, s, _input):
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y = 's3'
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x = s['s3'] * bound_norm_random(seeds['a'], proc_one_coef_A, proc_one_coef_B)
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return (y, x)
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def es4(_g, step, sL, s, _input):
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y = 's4'
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x = s['s4'] * bound_norm_random(seeds['b'], proc_one_coef_A, proc_one_coef_B)
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return (y, x)
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def update_timestamp(_g, step, sL, s, _input):
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y = 'timestamp'
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return y, time_step(dt_str=s[y], dt_format='%Y-%m-%d %H:%M:%S', _timedelta=timedelta(days=0, minutes=0, seconds=1))
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# Genesis States
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genesis_states = {
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's1': 0,
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's2': 0,
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's3': 1,
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's4': 1,
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'timestamp': '2018-10-01 15:16:24'
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}
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# Environment Process
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# ToDo: Depreciation Waring for env_proc_trigger convention
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env_processes = {
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"s3": [lambda _g, x: 5],
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"s4": env_trigger(3)(trigger_field='timestep', trigger_vals=[2], funct_list=[lambda _g, x: 10])
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}
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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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"states": {
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"s1": s1m1,
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# "s2": s2m1
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"s3": es3,
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"s4": es4,
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"timestep": update_timestamp
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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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"states": {
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"s1": s1m2,
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# "s2": s2m2
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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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"states": {
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"s1": s1m3,
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"s2": s2m3
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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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env_processes=env_processes,
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partial_state_update_blocks=partial_state_update_block
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) |