Bind runtime array closure to exact frozen worker inputs

models/male-cns-lif/normal-conditioning-v1/normal_prepare.py

@@ -30,6 +30,15 @@ H_ANCHORS = {
     'manifests/manifest.json':'d1f187f164f7775a1a02fff259c8f5e31ae035929d808c3876cfc0013d19c73c',
 }
 
+# Exact arrays consumed by the pinned isolated worker, not every reference file
+# colocated in its graph/APL directories. Tests compare these to that worker.
+GRAPH_FILES = ('nodes.npy', 'edge_id.npy', 'src.npy', 'dst.npy', 'signed_raw.npy', 'ptr.npy', 'weights.npy')
+APL_FILES = ('input_matrix.npy', 'output_matrix.npy', 'kc_globals.npy', 'apl_globals.npy')
+
+def runtime_array_paths(template):
+    return {str(Path(template['graph_dir'])/name) for name in GRAPH_FILES} | {
+        str(Path(template['apl_bundle_dir'])/name) for name in APL_FILES} | {template['coefficients_path']}
+
 def readout_populations(population_file):
     import numpy as np
     import pyarrow.parquet as pq
@@ -148,10 +157,8 @@ def prepare():
     save_npz(EXP/'inputs/static/readout-populations.npz',populations)
     save(EXP/'inputs/static/readout-population-binding.json',pop_audit)
     # Actual consumed neural dependency closure, all inherited byte pins.
-    required=set()
-    for role in ('graph_dir','apl_bundle_dir'):
-        required.update(str(p) for p in Path(template[role]).iterdir() if p.suffix=='.npy')
-    required.add(template['coefficients_path'])
+    required=runtime_array_paths(template)
+    require(required <= pinned.keys(), 'Consumed runtime arrays missing inherited pins: '+str(sorted(required-pinned.keys())))
     original_sources={p:s for p,s in epoch['frozen_inputs'].items() if p.startswith(str(ROOT/'models/male-cns-lif/') )
         and ('author-' in p or 'apl-timing-lab-v1/' in p)}
     runtime={p:pinned[p] for p in required}