cadCAD/simulations/regression_tests/policy_aggregation.py

83 lines
1.8 KiB
Python

from cadCAD.configuration import append_configs
from cadCAD.configuration.utils import config_sim
# Policies per Mechanism
def p1m1(_g, step, sL, s):
return {'policy1': 1}
def p2m1(_g, step, sL, s):
return {'policy2': 2}
def p1m2(_g, step, sL, s):
return {'policy1': 2, 'policy2': 2}
def p2m2(_g, step, sL, s):
return {'policy1': 2, 'policy2': 2}
def p1m3(_g, step, sL, s):
return {'policy1': 1, 'policy2': 2, 'policy3': 3}
def p2m3(_g, step, sL, s):
return {'policy1': 1, 'policy2': 2, 'policy3': 3}
# Internal States per Mechanism
def add(y, x):
return lambda _g, step, sH, s, _input: (y, s[y] + x)
def policies(_g, step, sH, s, _input):
y = 'policies'
x = _input
return (y, x)
# Genesis States
genesis_states = {
'policies': {},
's1': 0
}
variables = {
's1': add('s1', 1),
"policies": policies
}
partial_state_update_block = {
"m1": {
"policies": {
"p1": p1m1,
"p2": p2m1
},
"variables": variables
},
"m2": {
"policies": {
"p1": p1m2,
"p2": p2m2
},
"variables": variables
},
"m3": {
"policies": {
"p1": p1m3,
"p2": p2m3
},
"variables": variables
}
}
sim_config = config_sim(
{
"N": 1,
"T": range(3),
}
)
# Aggregation == Reduce Map / Reduce Map Aggregation
# using env functions (include in reg test using / for env proc)
append_configs(
sim_configs=sim_config,
initial_state=genesis_states,
partial_state_update_blocks=partial_state_update_block,
# ToDo: subsequent functions should include policy dict for access to each policy (i.e shouldnt be a map)
policy_ops=[lambda a, b: a + b, lambda y: y * 2] # Default: lambda a, b: a + b ToDO: reduction function requires high lvl explanation
)