141 lines
2.8 KiB
Python
141 lines
2.8 KiB
Python
from decimal import Decimal
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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 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': 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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def s1m4(_g, step, sL, s, _input):
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y = 's1'
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x = [1]
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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 es3p1(_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 es4p2(_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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ts_format = '%Y-%m-%d %H:%M:%S'
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t_delta = timedelta(days=0, minutes=0, seconds=1)
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def es5p2(_g, step, sL, s, _input):
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y = 'timestamp'
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x = ep_time_step(s, dt_str=s['timestamp'], fromat_str=ts_format, _timedelta=t_delta)
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return (y, x)
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# Environment States
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def env_a(x):
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return 5
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def env_b(x):
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return 10
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# def what_ever(x):
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# return x + 1
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# Genesis States
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genesis_states = {
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's1': Decimal(0.0),
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's2': Decimal(0.0),
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's3': Decimal(1.0),
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's4': Decimal(1.0),
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'timestamp': '2018-10-01 15:16:24'
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}
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raw_exogenous_states = {
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"s3": es3p1,
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"s4": es4p2,
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"timestamp": es5p2
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}
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env_processes = {
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"s3": env_a,
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"s4": proc_trigger('2018-10-01 15:16:25', env_b)
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}
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partial_state_update_block = [
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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={},
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raw_exogenous_states={},
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env_processes={},
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partial_state_update_blocks=partial_state_update_block
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) |