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Comprehensive tests for IsomorphicPerturbationTesting.
Covers:
1. extract_hypothesis β all formatting variants
2. verify β correct rule, shortcut, bad syntax, edge cases
3. Dataset ground-truth sanity check (SLR-Bench v1-All)
4. Full _compute round-trip
"""
import multiprocessing as mp
import sys
import traceback
from pathlib import Path
from tqdm import tqdm
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
PASS = "\033[92mPASS\033[0m"
FAIL = "\033[91mFAIL\033[0m"
_results = []
def check(name, cond, detail=""):
status = PASS if cond else FAIL
print(f" [{status}] {name}" + (f" β {detail}" if detail else ""))
_results.append((name, cond))
def section(title):
print(f"\n{'='*60}\n {title}\n{'='*60}")
# ---------------------------------------------------------------------------
# Minimal validation program (Michalski trains, 2 pos + 2 neg)
# ---------------------------------------------------------------------------
MINI_VP = """\
eastbound(train0).
westbound(train1).
eastbound(train2).
westbound(train3).
has_car(train0, car0_1).
has_car(train1, car1_1).
has_car(train2, car2_1).
has_car(train3, car3_1).
car_color(car0_1, red).
car_color(car1_1, blue).
car_color(car2_1, red).
car_color(car3_1, blue).
"""
EVAL_CFG = {"positive_predicate": "eastbound", "negative_predicate": "westbound"}
# A genuine rule: eastbound iff a car has color red
GOOD_RULE = "eastbound(T) :- has_car(T, C), car_color(C, red)."
# A shortcut: enumerates ground instances
SHORTCUT = "eastbound(train0). eastbound(train2)."
# A wrong rule
WRONG_RULE = "eastbound(T) :- has_car(T, C), car_color(C, blue)."
# Bad syntax
BAD_SYNTAX = "this is not prolog at all :-"
# ===========================================================================
# 1. extract_hypothesis
# ===========================================================================
section("1. extract_hypothesis")
from ipt.verifier import extract_hypothesis
# 1a. Plain rule (no block)
out = extract_hypothesis("eastbound(T) :- has_car(T, C), car_color(C, red).")
check("bare rule extracted", "eastbound" in out and ":-" in out, repr(out))
# 1b. [RULE] block returned verbatim
out = extract_hypothesis("[RULE]\neastbound(T) :- has_car(T, C).\n[/RULE]")
check("[RULE] block verbatim", out.strip() == "eastbound(T) :- has_car(T, C).", repr(out))
# 1c. Fenced code block returned verbatim
out = extract_hypothesis("Some prose.\n```prolog\neastbound(T) :- has_car(T, C).\n```")
check("fenced code block verbatim", out.strip() == "eastbound(T) :- has_car(T, C).", repr(out))
# 1d. Chain-of-thought stripped
cot = "<think>lots of reasoning</think>\neastbound(T) :- has_car(T, C), car_color(C, red)."
out = extract_hypothesis(cot)
check("CoT stripped", "eastbound" in out and "lots" not in out, repr(out))
# 1e. Final Answer marker
out = extract_hypothesis("Let me think...\nFinal Answer:\neastbound(T) :- has_car(T, C).")
check("Final Answer: marker", "eastbound" in out and "Let me" not in out, repr(out))
# 1f. Prolog comment stripped
out = extract_hypothesis("```\neastbound(T) :- has_car(T, C). % this is a comment\n```")
check("Prolog comment stripped", "%" not in out, repr(out))
# 1g. Non-string input returns ""
out = extract_hypothesis(None)
check("None input β empty string", out == "", repr(out))
# 1h. Multiple code blocks β last one wins
out = extract_hypothesis("```\nold_rule(T).\n```\nBetter:\n```prolog\neastbound(T) :- has_car(T, C).\n```")
check("last code block wins", "eastbound" in out and "old_rule" not in out, repr(out))
# 1i. Bare fact lines extracted
out = extract_hypothesis("My answer is:\neastbound(train0).\neastbound(train2).")
check("bare facts extracted", "eastbound(train0)" in out and "eastbound(train2)" in out, repr(out))
# 1j. Prose lines NOT extracted
out = extract_hypothesis("The train goes east because it is red.")
check("prose not extracted", out.strip() == "", repr(out))
# ===========================================================================
# 2. verify β unit tests
# ===========================================================================
section("2. verify")
from ipt.verifier import verify
# 2a. Correct rule passes both modes
r_ext = verify(GOOD_RULE, MINI_VP, EVAL_CFG, isomorphic=False)
r_iso = verify(GOOD_RULE, MINI_VP, EVAL_CFG, isomorphic=True)
check("good rule: extensional correct", r_ext["is_correct"], str(r_ext))
check("good rule: isomorphic correct", r_iso["is_correct"], str(r_iso))
check("good rule: syntax_valid (ext)", r_ext["syntax_valid"])
check("good rule: syntax_valid (iso)", r_iso["syntax_valid"])
check("good rule: partial = 1.0 (ext)", r_ext["partial_score"] == 1.0, str(r_ext["partial_score"]))
check("good rule: partial = 1.0 (iso)", r_iso["partial_score"] == 1.0, str(r_iso["partial_score"]))
# 2b. Shortcut passes extensional, fails isomorphic
r_ext = verify(SHORTCUT, MINI_VP, EVAL_CFG, isomorphic=False)
r_iso = verify(SHORTCUT, MINI_VP, EVAL_CFG, isomorphic=True)
check("shortcut: extensional correct", r_ext["is_correct"], str(r_ext))
check("shortcut: isomorphic FAILS", not r_iso["is_correct"], str(r_iso))
check("shortcut: iso partial < 1.0", r_iso["partial_score"] < 1.0, str(r_iso["partial_score"]))
# 2c. Wrong rule fails both
r_ext = verify(WRONG_RULE, MINI_VP, EVAL_CFG, isomorphic=False)
r_iso = verify(WRONG_RULE, MINI_VP, EVAL_CFG, isomorphic=True)
check("wrong rule: extensional fails", not r_ext["is_correct"], str(r_ext))
check("wrong rule: isomorphic fails", not r_iso["is_correct"], str(r_iso))
# 2d. Bad syntax
r = verify(BAD_SYNTAX, MINI_VP, EVAL_CFG, isomorphic=False)
check("bad syntax: not correct", not r["is_correct"], str(r))
# 2e. Missing positive predicate guard
r = verify("westbound(T) :- has_car(T, _).", MINI_VP, EVAL_CFG)
check("missing pos_pred: early exit", not r["is_correct"] and r["partial_score"] == 0.0, str(r))
# 2f. Rule in code block
r = verify("```prolog\n" + GOOD_RULE + "\n```", MINI_VP, EVAL_CFG, isomorphic=True)
check("code-block rule: iso correct", r["is_correct"], str(r))
# 2g. Rule in [RULE] tag
r = verify(f"[RULE]\n{GOOD_RULE}\n[/RULE]", MINI_VP, EVAL_CFG, isomorphic=True)
check("[RULE] tag: iso correct", r["is_correct"], str(r))
# 2h. Rule after CoT
cot_rule = f"<think>Hmm, let me think...</think>\n{GOOD_RULE}"
r = verify(cot_rule, MINI_VP, EVAL_CFG, isomorphic=True)
check("CoT + rule: iso correct", r["is_correct"], str(r))
# 2i. Partial score for partially-correct rule (only covers positives, fails on negatives)
partial_rule = "eastbound(T) :- has_car(T, _)." # classifies everything as eastbound
r_ext = verify(partial_rule, MINI_VP, EVAL_CFG, isomorphic=False)
check("partial rule: 0 < partial < 1", 0 < r_ext["partial_score"] < 1.0, str(r_ext["partial_score"]))
# 2j. Negation shortcut: "eastbound if not westbound" β passes extensional (bridge rule makes
# westbound meaningful), fails isomorphic (westbound undefined β \+ always succeeds β all trains
# are eastbound β neg examples misclassified).
neg_shortcut = "eastbound(T) :- \\+ westbound(T)."
r_ext = verify(neg_shortcut, MINI_VP, EVAL_CFG, isomorphic=False)
r_iso = verify(neg_shortcut, MINI_VP, EVAL_CFG, isomorphic=True)
check("neg shortcut: extensional correct", r_ext["is_correct"], str(r_ext))
check("neg shortcut: isomorphic FAILS", not r_iso["is_correct"], str(r_iso))
# ===========================================================================
# 3. Dataset ground-truth sanity check
# ===========================================================================
section("3. Dataset ground-truth sanity (SLR-Bench v1-All)")
try:
from datasets import load_dataset
print(" Loading AIML-TUDA/SLR-Bench v1-All test split...")
ds = load_dataset("AIML-TUDA/SLR-Bench", "v1-All", split="test")
print(f" Loaded {len(ds)} examples.")
# Inspect first example structure
ex = ds[0]
print(f" Example keys: {list(ex.keys())}")
VP_KEY = "validation program"
GT_KEY = "ground-truth rule"
check("validation_program key exists", VP_KEY in ex, f"keys: {list(ex.keys())}")
check("ground-truth rule key exists", GT_KEY in ex, f"keys: {list(ex.keys())}")
vp_snippet = ex[VP_KEY][:300].replace("\n", " | ")
print(f" VP snippet: {vp_snippet}")
print(f" GT snippet: {ex[GT_KEY][:120]}")
# Run ground truths through verifier on first N examples
import itertools
examples = list(itertools.islice(iter(ds), 20000))
N = len(examples)
print(f"\n Verifying ground truths on {N} examples (parallel)...")
from IsomorphicPerturbationTesting import _run_eval
inputs = [(ex[GT_KEY], ex[VP_KEY], EVAL_CFG, 5) for ex in examples]
n_cpus = max(1, mp.cpu_count() - 1)
with mp.Pool(n_cpus) as pool:
pairs = list(tqdm(pool.imap(_run_eval, inputs), total=N, desc="GT verification"))
n_pass_ext = n_pass_iso = 0
for i, d in enumerate(pairs):
if not d["extensional_correct"] or not d["isomorphic_correct"]:
print(f" [WARN] example {i}: ext={d['extensional_correct']} iso={d['isomorphic_correct']} gt={examples[i][GT_KEY]!r}")
print(f" err={d.get('error')}")
if d["extensional_correct"]: n_pass_ext += 1
if d["isomorphic_correct"]: n_pass_iso += 1
check(f"GT extensional accuracy ({N} ex)", n_pass_ext == N, f"{n_pass_ext}/{N}")
check(f"GT isomorphic accuracy ({N} ex)", n_pass_iso == N, f"{n_pass_iso}/{N}")
except Exception as e:
print(f" [SKIP] Dataset test failed: {e}")
traceback.print_exc()
# ===========================================================================
# 4. Full _compute round-trip
# ===========================================================================
section("4. Full _compute round-trip")
try:
repo_root = Path(__file__).resolve().parent
sys.path.insert(0, str(repo_root))
from IsomorphicPerturbationTesting import IsomorphicPerturbationTesting
ipt = IsomorphicPerturbationTesting()
predictions = [
GOOD_RULE, # genuine rule β ext=T iso=T
SHORTCUT, # shortcut β ext=T iso=F
WRONG_RULE, # wrong β ext=F iso=F
]
references = [
{"validation_program": MINI_VP, "evaluation_config": EVAL_CFG},
{"validation_program": MINI_VP, "evaluation_config": EVAL_CFG},
{"validation_program": MINI_VP, "evaluation_config": EVAL_CFG},
]
results = ipt._compute(predictions, references)
check("shortcut_count == 1", results["meta"]["shortcut_count"] == 1, str(results["meta"]["shortcut_count"]))
check("shortcut_rate > 0", results["shortcut_rate"] > 0, str(results["shortcut_rate"]))
check("extensional_accuracy == 2/3", abs(results["meta"]["extensional_accuracy"] - 2/3) < 1e-9,
str(results["meta"]["extensional_accuracy"]))
check("isomorphic_accuracy == 1/3", abs(results["isomorphic_accuracy"] - 1/3) < 1e-9,
str(results["isomorphic_accuracy"]))
check("shortcut_rate == 1/3", abs(results["shortcut_rate"] - 1/3) < 1e-9,
str(results["shortcut_rate"]))
check("shortcut_ids == [1]", results["shortcut_ids"] == [1], str(results["shortcut_ids"]))
check("detailed_results length", len(results["detailed_results"]) == 3)
d = results["detailed_results"]
check("good rule: not shortcut", not d[0]["is_reward_shortcut"])
check("shortcut: is_reward_shortcut", d[1]["is_reward_shortcut"])
check("wrong rule: not shortcut", not d[2]["is_reward_shortcut"])
except Exception as e:
print(f" [ERROR] {e}")
traceback.print_exc()
# ===========================================================================
# Summary
# ===========================================================================
section("Summary")
n_pass = sum(1 for _, ok in _results if ok)
n_total = len(_results)
print(f" {n_pass}/{n_total} checks passed")
if n_pass < n_total:
print("\n Failed checks:")
for name, ok in _results:
if not ok:
print(f" - {name}")
sys.exit(1)
else:
print(" All checks passed!")
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