# step: catalogue prior · the learned arm's harness reads the record's figures and the committed rule
# order: 31
# paths: wai/tools/wai_int_hyper_catalogue.py
#
# tools/wai_int_hyper_catalogue.py takes a catalogue of titles to the committed rule's K4
# reading for wai.neural.int_hyper (research/catalogue-prior/decisive-rule.json): frames from
# each master, licence first; a set tuned from the generic set pinned by digest; the held-out
# frames coded through the exporter and decoded by the integer decoder; and BD-rate by the
# record's cubic fit, with PCHIP and linear beside it. Its self-test (standard library only)
# requires the cubic BD-rate to give every figure the record stored (c_rd.json), each of the
# three integrations to read a curve 10 % cheaper as -10 %, K4 to hold for a tuned curve 3 %
# cheaper and not for one 10 % cheaper, the median of an even count to be the mean of the
# middle two, and a rule file with a changed threshold to be refused against its pinned SHA-256.
set -euo pipefail
python3 -I tools/wai_int_hyper_catalogue.py self-test