# models.subsystem¶

Subsystem-level objects.

class pyphi.models.subsystem.CauseEffectStructure

A collection of concepts.

Normalize the order of concepts in the CauseEffectStructure.

static __new__(concepts=())

Normalize the order of concepts in the CauseEffectStructure.

to_json()
mechanisms

The mechanism of each concept.

phis

The $$\varphi$$ values of each concept.

labeled_mechanisms

The labeled mechanism of each concept.

classmethod from_json(json)
class pyphi.models.subsystem.SystemIrreducibilityAnalysis(phi=None, ces=None, partitioned_ces=None, subsystem=None, cut_subsystem=None, time=None, small_phi_time=None)

An analysis of system irreducibility ($$\Phi$$).

Contains the $$\Phi$$ value of the Subsystem, the cause-effect structure, and all the intermediate results obtained in the course of computing them.

These can be compared with the built-in Python comparison operators (<, >, etc.). First, $$\Phi$$ values are compared. Then, if these are equal up to PRECISION, the one with the larger subsystem is greater.

phi

float – The $$\Phi$$ value for the subsystem when taken against this analysis, i.e. the difference between the cause-effect structure and the partitioned cause-effect structure for this analysis.

ces

CauseEffectStructure – The cause-effect structure of the whole subsystem.

partitioned_ces

CauseEffectStructure – The cause-effect structure when the subsystem is cut.

subsystem

Subsystem – The subsystem this analysis 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 cause-effect structure.

print(ces=True)

Print this SystemIrreducibilityAnalysis, optionally without cause-effect structures.

cut

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

network

The network the subsystem belongs to.

unorderable_unless_eq = ['network']
order_by()
__bool__()

A SystemIrreducibilityAnalysis is True if it has $$\Phi > 0$$.

to_json()

Return a JSON-serializable representation.