# PyPhi configuration (2.0 layered format)
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# See the documentation for ``pyphi.config`` for the full list of options
# and their defaults. Each top-level key corresponds to one of the three
# config layers: formalism (what PyPhi computes), infrastructure (how it
# runs — parallelism, caching, logging), and numerics (precision).
#
# The ``formalism`` layer is split into two sub-namespaces: ``iit`` for
# IIT-formalism knobs and ``actual_causation`` for AC-framework knobs.
#
# Only override fields you actually want to change; omitted fields use the
# default values defined on the layer dataclasses.
---
formalism:
  # The default IIT formalism is IIT 4.0 (2026): version "IIT_4_0_2026" with
  # system_phi_measure "INTRINSIC_INFORMATION", which applies the Eq. 23
  # intrinsic-information cap φ_s = min{φ_c, φ_e, ii(s)}. Mechanism and
  # specification measures are GENERALIZED_INTRINSIC_DIFFERENCE.
  #
  # Leaving ``iit`` empty inherits these defaults from the layer dataclass
  # (the single source of truth). For another formalism prefer a preset via
  # ``pyphi.config.override(**pyphi.presets.iit4_2023)`` / ``.iit3`` rather than
  # setting an active override here — an active ``version:`` in this file would
  # shadow the dataclass default during in-repo runs.
  iit: {}
  actual_causation: {}
infrastructure: {}
numerics: {}