compute.subsystem

Functions for computing subsystem-level properties.

class pyphi.compute.subsystem.ComputeCauseEffectStructure(iterable, *context)

Engine for computing a CauseEffectStructure.

description = 'Computing concepts'
property subsystem
empty_result(*args)

Return the default result with which to begin the computation.

static compute(mechanism, subsystem, purviews, cause_purviews, effect_purviews)

Compute a Concept for a mechanism, in this Subsystem with the provided purviews.

process_result(new_concept, concepts)

Save all concepts with non-zero \(\varphi\) to the CauseEffectStructure.

pyphi.compute.subsystem.conceptual_info(subsystem)

Return the conceptual information for a Subsystem.

This is the distance from the subsystem’s CauseEffectStructure to the null concept.

pyphi.compute.subsystem.evaluate_cut(uncut_subsystem, cut, unpartitioned_ces)

Compute the system irreducibility for a given cut.

Parameters
  • uncut_subsystem (Subsystem) – The subsystem without the cut applied.

  • cut (Cut) – The cut to evaluate.

  • unpartitioned_ces (CauseEffectStructure) – The cause-effect structure of the uncut subsystem.

Returns

The SystemIrreducibilityAnalysis for that cut.

Return type

SystemIrreducibilityAnalysis

class pyphi.compute.subsystem.ComputeSystemIrreducibility(iterable, *context)

Computation engine for system-level irreducibility.

description = 'Evaluating Φ cuts'
empty_result(subsystem, unpartitioned_ces)

Begin with a SystemIrreducibilityAnalysis with infinite \(\Phi\); all actual SIAs will have less.

static compute(cut, subsystem, unpartitioned_ces)

Evaluate a cut.

process_result(new_sia, min_sia)

Check if the new SIA has smaller \(\Phi\) than the standing result.

pyphi.compute.subsystem.sia_bipartitions(nodes, node_labels=None)

Return all \(\Phi\) cuts for the given nodes.

This value changes based on config.CUT_ONE_APPROXIMATION.

Parameters

nodes (tuple[int]) – The node indices to partition.

Returns

All unidirectional partitions.

Return type

list[Cut]

pyphi.compute.subsystem.phi(subsystem)

Return the \(\Phi\) value of a subsystem.

class pyphi.compute.subsystem.ConceptStyleSystem(subsystem, direction, cut=None)

A functional replacement for Subsystem implementing concept-style system cuts.

apply_cut(cut)
__getattr__(name)

Pass attribute access through to the basic subsystem.

property cause_system
property effect_system
concept(mechanism, purviews=False, cause_purviews=False, effect_purviews=False)

Compute a concept, using the appropriate system for each side of the cut.

pyphi.compute.subsystem.concept_cuts(direction, node_indices, node_labels=None)

Generator over all concept-syle cuts for these nodes.

pyphi.compute.subsystem.directional_sia(subsystem, direction, unpartitioned_ces=None)

Calculate a concept-style SystemIrreducibilityAnalysisCause or SystemIrreducibilityAnalysisEffect.

class pyphi.compute.subsystem.SystemIrreducibilityAnalysisConceptStyle(sia_cause, sia_effect)

Represents a SystemIrreducibilityAnalysis computed using concept-style system cuts.

property min_sia
__getattr__(name)

Pass attribute access through to the minimal SIA.

unorderable_unless_eq = ['network']
order_by()

Return a list of values to compare for ordering.

The first value in the list has the greatest priority; if the first objects are equal the second object is compared, etc.

pyphi.compute.subsystem.sia_concept_style(subsystem)

Compute a concept-style SystemIrreducibilityAnalysis