#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from pyphi.compute import big_mip
from pyphi import Subsystem
import numpy as np
import example_networks
from pyphi.constants import EPSILON
micro = example_networks.micro()
micro.current_state = (0, 0, 0, 0)
micro.past_state = (0, 0, 0, 0)
micro_subsystem = Subsystem(range(micro.size), micro)
mip = big_mip(micro_subsystem)
CD = micro_subsystem.nodes[2:4]
BCD = micro_subsystem.nodes[1:4]
ABCD = micro_subsystem.nodes[0:4]
A = mip.unpartitioned_constellation[0]
cause = A.cause.mip.unpartitioned_repertoire
effect = A.effect.mip.unpartitioned_repertoire
def test_expand_cause_repertoire():
assert np.all(abs(A.expand_cause_repertoire(CD) - cause) < EPSILON)
assert np.all(
abs(
A.expand_cause_repertoire(BCD).flatten(order='F') -
np.array([1 / 6 if i < 6 else 0 for i in range(8)])) < EPSILON)
def micro():
return example_networks.micro()
def micro():
return example_networks.micro()
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from pyphi.compute import big_mip
from pyphi import Subsystem
import numpy as np
import example_networks
from pyphi.constants import EPSILON
micro = example_networks.micro()
micro.current_state = (0, 0, 0, 0)
micro.past_state = (0, 0, 0, 0)
micro_subsystem = Subsystem(range(micro.size), micro)
mip = big_mip(micro_subsystem)
CD = micro_subsystem.nodes[2:4]
BCD = micro_subsystem.nodes[1:4]
ABCD = micro_subsystem.nodes[0:4]
A = mip.unpartitioned_constellation[0]
cause = A.cause.mip.unpartitioned_repertoire
effect = A.effect.mip.unpartitioned_repertoire
def test_expand_cause_repertoire():
assert np.all(abs(A.expand_cause_repertoire(CD) - cause) < EPSILON)
assert np.all(abs(
A.expand_cause_repertoire(BCD).flatten(order='F') -
np.array([1/6 if i < 6 else 0 for i in range(8)])) < EPSILON)
assert np.all(abs(
