core/tests/test_holonomy_resonance.py
Shay 5e75d46323 Fix Greek triliteral rotor bleed and update structured-morphology baseline test
- Guard _triliteral_root() rotor to Hebrew-script roots only; Greek/other
  scripts now use the root: rotor alone (0.17) — no spurious uppercase
  Unicode blade collision from the romanization fallback path
- test_structured_morphology_improves_same_root_hebrew_resonance: replace
  tag_only baseline (now empty since legacy tags stripped) with no_morphology
  baseline (domain+pos+lemma+surface only), which is the honest comparison
  for what structured morphology contributes post-migration
2026-05-13 15:24:38 -07:00

81 lines
3.1 KiB
Python

from __future__ import annotations
import numpy as np
from algebra.cga import cga_inner
from algebra.holonomy import holonomy_encode, holonomy_similarity
from language_packs import load_pack
from language_packs.compiler import compile_entries_to_manifold, load_pack_entries
from morphology.registry import load_morphology
def _encode(manifold, tokens: list[str]) -> np.ndarray:
return holonomy_encode([manifold.get_versor(t) for t in tokens])
def test_aligned_clauses_have_higher_similarity_than_unrelated():
_, en = load_pack("en_minimal_v1")
_, he = load_pack("he_logos_micro_v1")
_, grc = load_pack("grc_logos_micro_v1")
en_clause = _encode(en, ["word", "beginning", "with", "truth"])
he_clause = _encode(he, ["דבר", "ראשית", "אמת"])
grc_clause = _encode(grc, ["λόγος", "ἀρχή", "ἀλήθεια"])
grc_unrelated = _encode(grc, ["λόγος", "ἀρχή", "ζωή"])
aligned = (np.linalg.norm(en_clause - he_clause) + np.linalg.norm(en_clause - grc_clause)) / 2.0
unrelated = np.linalg.norm(en_clause - grc_unrelated)
assert aligned < unrelated
def test_triple_alignment_closer_than_other_triples():
_, en = load_pack("en_minimal_v1")
_, he = load_pack("he_logos_micro_v1")
_, grc = load_pack("grc_logos_micro_v1")
aligned_score = np.mean(
[
cga_inner(en.get_versor("word"), he.get_versor("דבר")),
cga_inner(en.get_versor("word"), grc.get_versor("λόγος")),
cga_inner(he.get_versor("דבר"), grc.get_versor("λόγος")),
]
)
misaligned_score = np.mean(
[
cga_inner(en.get_versor("word"), he.get_versor("ראשית")),
cga_inner(en.get_versor("word"), grc.get_versor("πνεῦμα")),
cga_inner(he.get_versor("דבר"), grc.get_versor("ἀρχή")),
]
)
assert aligned_score > misaligned_score
def test_word_order_permutation_changes_holonomy():
_, en = load_pack("en_minimal_v1")
a = _encode(en, ["word", "truth", "light", "life"])
b = _encode(en, ["life", "word", "truth", "light"])
assert abs(holonomy_similarity(a, b) - holonomy_similarity(a, a)) > 1e-4
def test_same_root_hebrew_forms_land_closer_than_unrelated_noun():
_, he = load_pack("he_logos_micro_v1")
singular = he.get_versor("דבר")
plural = he.get_versor("דברים")
unrelated = he.get_versor("ראשית")
assert cga_inner(singular, plural) > cga_inner(singular, unrelated)
def test_structured_morphology_improves_same_root_hebrew_resonance():
entries = load_pack_entries("he_logos_micro_v1")
no_morphology = compile_entries_to_manifold(entries)
structured = compile_entries_to_manifold(entries, load_morphology("he_logos_micro_v1"))
no_morph_score = cga_inner(no_morphology.get_versor("דבר"), no_morphology.get_versor("דברים"))
structured_score = cga_inner(structured.get_versor("דבר"), structured.get_versor("דברים"))
assert structured_score > no_morph_score, (
f"Structured morphology should bring same-root forms closer: "
f"structured={structured_score:.6f}, no_morphology={no_morph_score:.6f}"
)