# models.big_phi¶

class pyphi.models.big_phi.BigMip(phi=None, unpartitioned_constellation=None, partitioned_constellation=None, subsystem=None, cut_subsystem=None, time=None, small_phi_time=None)

A minimum information partition for $$\Phi$$ calculation.

BigMips may be compared with the built-in Python comparison operators (<, >, etc.). First, phi values are compared. Then, if these are equal up to constants.PRECISION, the size of the subsystem is compared (exclusion principle).

phi

float – The $$\Phi$$ value for the subsystem when taken against this MIP, i.e. the difference between the unpartitioned constellation and this MIP’s partitioned constellation.

unpartitioned_constellation

Constellation – The constellation of the whole subsystem.

partitioned_constellation

Constellation – The constellation when the subsystem is cut.

subsystem

Subsystem – The subsystem this MIP was calculated for.

cut_subsystem

Subsystem – The subsystem with the minimal cut applied.

time

float – The number of seconds it took to calculate.

small_phi_time

float – The number of seconds it took to calculate the unpartitioned constellation.

cut

The unidirectional cut that makes the least difference to the subsystem.

network

The network this BigMip belongs to.

__bool__()

A BigMip is truthy if it is not reducible.

(That is, if it has a significant amount of $$\Phi$$.)

to_json()