#!/usr/bin/env python3 """Object-diversity analysis of the 783 accepted-question pool. Per-type diversity SIGNATURE (the object(s) a question is fundamentally about): count -> singleton: target_ref_folder (the counted object) find -> singleton: queried_ref_folder (the searched object) beneath -> duplet: (cover_folder, buried_target_folder) compare -> triplet: frozenset(3 marked obj_folders) Reports how concentrated the pool is on repeated signatures, and the union of unique object folders — the raw material for a diversity-maximizing selection. """ import json, glob, os from collections import Counter, defaultdict BANK="approved-questions/bank" def snap_folder_map(ep_dir): """name -> folder from the snapshot objects (authoritative folder ids).""" sp=os.path.join(ep_dir,"scene_snapshot","scene_snapshot.json") m={} if os.path.isfile(sp): s=json.load(open(sp)) for o in (s.get("objects") or []): if o.get("name") and o.get("folder"): m[o["name"]]=o["folder"] return m def episodes(ct): for rj in sorted(glob.glob(f"{BANK}/ep_*_{ct}/review.json")): yield os.path.dirname(rj), json.load(open(rj)) # ── build signatures ────────────────────────────────────────────────── sig = defaultdict(dict) # ct -> {ep_name: signature} all_folders_by_type = defaultdict(set) all_folders = set() # count / find : singleton folder for ct, key in [("count","target_ref_folder"), ("find","queried_ref_folder")]: for ep_dir, d in episodes(ct): q=d.get("question") or {} fol=q.get(key) sig[ct][os.path.basename(ep_dir)]=fol if fol: all_folders_by_type[ct].add(fol); all_folders.add(fol) # beneath : (cover_folder, buried_target_folder) for ep_dir, d in episodes("beneath"): q=d.get("question") or {} fmap=snap_folder_map(ep_dir) cover=fmap.get(q.get("cover_object")) tgt=fmap.get(q.get("target_name")) sig["beneath"][os.path.basename(ep_dir)]=(cover,tgt) for f in (cover,tgt): if f: all_folders_by_type["beneath"].add(f); all_folders.add(f) # compare : triplet of marked folders for ep_dir, d in episodes("compare"): q=d.get("question") or {} ml=q.get("marked_labels") or {} folders=tuple(sorted(v.get("obj_folder") for v in ml.values() if v.get("obj_folder"))) sig["compare"][os.path.basename(ep_dir)]=folders for f in folders: if f: all_folders_by_type["compare"].add(f); all_folders.add(f) # ── report ──────────────────────────────────────────────────────────── print("="*72) print("PER-TYPE SIGNATURE REUSE (how concentrated is the pool?)") print("="*72) for ct in ["count","find","beneath","compare"]: sigs=list(sig[ct].values()) n=len(sigs) c=Counter(s for s in sigs if s not in (None,(None,None),())) n_unique=len(c) # histogram: how many signatures appear k times hist=Counter(c.values()) max_reuse=max(c.values()) if c else 0 # how many episodes are "unique-signature" (appear exactly once) n_once=sum(v for k,v in hist.items() if k==1) print(f"\n{ct.upper()} ({n} episodes)") print(f" distinct signatures : {n_unique}") print(f" episodes w/ unique sig : {n_once} ({100*n_once//max(n,1)}%)") print(f" max reuse of one signature: {max_reuse}") print(f" reuse histogram (k:sigs) : {dict(sorted(hist.items()))}") # top offenders top=c.most_common(5) def short(s): if isinstance(s,tuple): return " + ".join(os.path.basename(x or "?") for x in s) return os.path.basename(s or "?") print(f" most-reused signatures :") for s,k in top: if k>1: print(f" {k:>2}x {short(s)}") print("\n"+"="*72) print("UNIQUE OBJECT FOLDERS") print("="*72) for ct in ["count","find","beneath","compare"]: print(f" {ct:9s}: {len(all_folders_by_type[ct])} unique object folders") print(f" {'UNION':9s}: {len(all_folders)} unique object folders across all types") # cross-type sharing print("\n"+"="*72) print("OBJECT SHARING ACROSS TYPES (folders used in N types)") print("="*72) fol_types=defaultdict(set) for ct in ["count","find","beneath","compare"]: for f in all_folders_by_type[ct]: fol_types[f].add(ct) byn=Counter(len(v) for v in fol_types.values()) print(" #folders used in exactly N types:", dict(sorted(byn.items())))