cadCAD/simulations/validation/config2.py

167 lines
3.4 KiB
Python

from decimal import Decimal
import numpy as np
from datetime import timedelta
from cadCAD.configuration import append_configs
from cadCAD.configuration.utils import proc_trigger, bound_norm_random, ep_time_step
from cadCAD.configuration.utils.parameterSweep import config_sim
seeds = {
'z': np.random.RandomState(1),
'a': np.random.RandomState(2),
'b': np.random.RandomState(3),
'c': np.random.RandomState(3)
}
# Policies per Mechanism
def p1m1(_g, step, sL, s):
return {'param1': 1}
def p2m1(_g, step, sL, s):
return {'param2': 4}
def p1m2(_g, step, sL, s):
return {'param1': 'a', 'param2': 2}
def p2m2(_g, step, sL, s):
return {'param1': 'b', 'param2': 4}
def p1m3(_g, step, sL, s):
return {'param1': ['c'], 'param2': np.array([10, 100])}
def p2m3(_g, step, sL, s):
return {'param1': ['d'], 'param2': np.array([20, 200])}
# Internal States per Mechanism
def s1m1(_g, step, sL, s, _input):
y = 's1'
x = _input['param1']
return (y, x)
def s2m1(_g, step, sL, s, _input):
y = 's2'
x = _input['param2']
return (y, x)
def s1m2(_g, step, sL, s, _input):
y = 's1'
x = _input['param1']
return (y, x)
def s2m2(_g, step, sL, s, _input):
y = 's2'
x = _input['param2']
return (y, x)
def s1m3(_g, step, sL, s, _input):
y = 's1'
x = _input['param1']
return (y, x)
def s2m3(_g, step, sL, s, _input):
y = 's2'
x = _input['param2']
return (y, x)
# Exogenous States
proc_one_coef_A = 0.7
proc_one_coef_B = 1.3
def es3p1(_g, step, sL, s, _input):
y = 's3'
x = s['s3'] * bound_norm_random(seeds['a'], proc_one_coef_A, proc_one_coef_B)
return (y, x)
def es4p2(_g, step, sL, s, _input):
y = 's4'
x = s['s4'] * bound_norm_random(seeds['b'], proc_one_coef_A, proc_one_coef_B)
return (y, x)
ts_format = '%Y-%m-%d %H:%M:%S'
t_delta = timedelta(days=0, minutes=0, seconds=1)
def es5p2(_g, step, sL, s, _input):
y = 'timestep'
x = ep_time_step(s, dt_str=s['timestep'], fromat_str=ts_format, _timedelta=t_delta)
return (y, x)
# Environment States
def env_a(x):
return 10
def env_b(x):
return 10
# def what_ever(x):
# return x + 1
# Genesis States
genesis_states = {
's1': Decimal(0.0),
's2': Decimal(0.0),
's3': Decimal(1.0),
's4': Decimal(1.0),
'timestep': '2018-10-01 15:16:24'
}
raw_exogenous_states = {
"s3": es3p1,
"s4": es4p2,
"timestep": es5p2
}
env_processes = {
"s3": proc_trigger('2018-10-01 15:16:25', env_a),
"s4": proc_trigger('2018-10-01 15:16:25', env_b)
}
partial_state_update_block = {
"m1": {
"policies": {
"b1": p1m1,
# "b2": p2m1
},
"states": {
"s1": s1m1,
# "s2": s2m1
}
},
"m2": {
"policies": {
"b1": p1m2,
# "b2": p2m2
},
"states": {
"s1": s1m2,
# "s2": s2m2
}
},
"m3": {
"policies": {
"b1": p1m3,
"b2": p2m3
},
"states": {
"s1": s1m3,
"s2": s2m3
}
}
}
sim_config = config_sim(
{
"N": 2,
"T": range(5),
}
)
append_configs(
sim_configs=sim_config,
initial_state=genesis_states,
seeds=seeds,
raw_exogenous_states=raw_exogenous_states,
env_processes=env_processes,
partial_state_updates=partial_state_update_block
)