compute.big_phi
¶
Functions for computing integrated information and finding complexes.

pyphi.compute.big_phi.
evaluate_cut
(uncut_subsystem, cut, unpartitioned_constellation)¶ Find the
BigMip
for a given cut.Parameters:  uncut_subsystem (Subsystem) – The subsystem without the cut applied.
 cut (Cut) – The cut to evaluate.
 unpartitioned_constellation (Constellation) – The constellation of the uncut subsystem.
Returns: The
BigMip
for that cut.Return type:

class
pyphi.compute.big_phi.
FindMip
(iterable, *context)¶ Computation engine for finding the minimal
BigMip
.
description
= 'Evaluating Φ cuts'¶

empty_result
(subsystem, unpartitioned_constellation)¶ Begin with a mip with infinite \(\Phi\); all actual mips will have less.

static
compute
(cut, subsystem, unpartitioned_constellation)¶ Evaluate a cut.

process_result
(new_mip, min_mip)¶ Check if the new mip has smaller phi than the standing result.


pyphi.compute.big_phi.
big_mip_bipartitions
(nodes)¶ 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.big_phi.
big_mip
(cache_key, subsystem)¶ Return the minimal information partition of a subsystem.
Parameters: subsystem (Subsystem) – The candidate set of nodes. Returns: A nested structure containing all the data from the intermediate calculations. The top level contains the basic MIP information for the given subsystem. Return type: BigMip

pyphi.compute.big_phi.
big_phi
(subsystem)¶ Return the \(\Phi\) value of a subsystem.

pyphi.compute.big_phi.
subsystems
(network, state)¶ Return a generator of all possible subsystems of a network.
Does not return subsystems that are in an impossible state.

pyphi.compute.big_phi.
all_complexes
(network, state)¶ Return a generator for all complexes of the network.
Includes reducible, zero\(\Phi\) complexes (which are not, strictly speaking, complexes at all).

pyphi.compute.big_phi.
possible_complexes
(network, state)¶ Return a generator of subsystems of a network that could be a complex.
This is the just powerset of the nodes that have at least one input and output (nodes with no inputs or no outputs cannot be part of a main complex, because they do not have a causal link with the rest of the subsystem in the past or future, respectively).
Does not include subsystems in an impossible state.
Parameters:  network (Network) – The network for which to return possible complexes.
 state (tuple[int]) – The state of the network.
Yields: Subsystem – The next subsystem which could be a complex.

class
pyphi.compute.big_phi.
FindComplexes
(iterable, *context)¶ Computation engine for computing irreducible complexes of a network.

description
= 'Finding complexes'¶

empty_result
()¶

static
compute
(subsystem)¶

process_result
(new_big_mip, complexes)¶


pyphi.compute.big_phi.
complexes
(network, state)¶ Return all irreducible complexes of the network.

pyphi.compute.big_phi.
main_complex
(network, state)¶ Return the main complex of the network.

pyphi.compute.big_phi.
condensed
(network, state)¶ Return the set of maximal nonoverlapping complexes.

class
pyphi.compute.big_phi.
ConceptStyleSystem
(subsystem, direction, cut=None)¶ A functional replacement for
Subsystem
implementing conceptstyle system cuts.
apply_cut
(cut)¶

__getattr__
(name)¶ Pass attribute access through to the basic subsystem.

cause_system
¶

effect_system
¶

concept
(mechanism, purviews=False, past_purviews=False, future_purviews=False)¶ Compute a concept, using the appropriate system for each side of the cut.


pyphi.compute.big_phi.
concept_cuts
(node_indices)¶ Generator over all conceptsyle cuts for these nodes.

pyphi.compute.big_phi.
directional_big_mip
(subsystem, direction, unpartitioned_constellation=None)¶ Calculate a conceptstyle BigMipPast or BigMipFuture.

class
pyphi.compute.big_phi.
BigMipConceptStyle
(mip_past, mip_future, subsystem)¶ Represents a Big Mip computed using conceptstyle system cuts.

phi
¶

network
¶ The network this BigMip belongs to.

unorderable_unless_eq
= ['network']¶

order_by
()¶


pyphi.compute.big_phi.
big_mip_concept_style
(subsystem)¶ Compute a conceptstyle Big Mip