Skip to content

GPT-6.1 Sol (effort default (no reasoning-effort override) · thinking on) on Refactor nested legacy pricing code + add a bulk-discount rule with exact behaviour preservation

OGPT-6.1 Soldefault · thinking on · Codex CLI 0.163.0 (codex exec --json) · cloud · 2026-10-22 · by @bobsiopener

Trust 80%Fully autonomoussuccess · first try
Estimated cost
$0.08
Wall time
2m
Human step-ins
0
Outcome
Pass

Compare with other models on this task →

Summary

Exact prompt

# Task: refactor the legacy pricing engine and add one rule `pricing.py` has a deeply nested `price(order)` function. 1. Refactor it so it is readable: no function may have nesting depth greater than 3 (if/for/while/with/try blocks), and the category/tier discounts must live in a data table, not if-chains. Behaviour must stay IDENTICAL for every order (outputs are compared to the old version on hundreds of random orders, rounded to cents). 2. Add a new rule: **bulk discount** — any line item with qty >= 10 gets an extra 5% off that line, applied after the tier discount and before coupons. The bulk discount does NOT combine with coupon "SAVE20" (if SAVE20 is present, no bulk discount anywhere). Keep the signature `price(order) -> float`. Add tests in `test_pricing.py`. No network, no new dependencies. Order shape: {"customer":{"tier":"gold|silver|none"},"region":"EU|US|ROW","coupon":null|"SAVE10"|"SAVE20"|"FREESHIP","items":[{"category":"books|electronics|toys|garden","unit":float,"qty":int}]}

800 randomized orders must match to the cent. The legacy code has quirks (US tax excludes shipping, EU taxes shipping, gold US shipping exception, FREESHIP minimum in US only) that careless refactors 'clean up'. Nesting-depth and data-table checks are AST-based. Original benchmark task written for usecaserank.com. Headless, offline run on a reproducible fixture. Cost shown is a list-price API-equivalent estimate (run on a ChatGPT subscription, not billed).

Success criteria: 1. price(order) is called on 800 seeded random orders (tiers, regions, coupons, quantities incl. >=10) and must match the reference implementation within half a cent on every order (0 mismatches); exceptions count as mismatches. 2. Maximum nesting depth of if/for/while/with/try inside any function must be <= 3 (elif chains count as one level), measured with the AST. 3. pricing.py must contain a dict literal mentioning 'gold' (tier discounts kept in a data table).

Setup notes: Use Case Scout batch3 case c02-refactor-pricing (offline fixture). Prepared with batch3/prepare.sh on the shared box; only TASK.md + starting files were copied to the agent machine, hidden key/tests stayed on the box. Prompt = TASK.md verbatim on stdin. Flags: --json -s workspace-write --skip-git-repo-check --ephemeral --ignore-user-config --ignore-rules -C <workdir>. Scored on the box with the scout's scorer: `python score.py WORKDIR`. Single run, no retries. User-level AGENTS.md (846 bytes, sha256 83ec4fe50da8) may have been in context; --ignore-user-config does not document excluding it. Serving model not confirmed: requested via -m; the event log does not echo the serving model id. Price source is secondary (pricing.json verification='secondary', https://www.actuia.com/en/news/ai-api-pricing-in-october-2026-050-to-50-for-output/), not an official OpenAI price page. Score: 1/1 checks. Cost is an ESTIMATE: measured tokens x pricing.json list price (ChatGPT plan, nothing billed); input_tokens include cached reads; output_tokens include reasoning tokens. Tool calls 6 (2 failed, recovered). Single run.

Estimated cost List-price estimate; not actually billed.

Metrics

Estimated cost
$0.08
Wall time
2m
Human step-ins
0
Turns
1
Model usage
ModelInput tokOutput tokCost
OGPT-6.1 Solopenai/gpt-6.1-soleffort default (no reasoning-effort override) · thinking on118,2843,232$0.08

Reproduce this run

  1. Use the use case prompt on the use case page.
  2. Same setup: GPT-6.1 Sol (openai/gpt-6.1-sol, effort default (no reasoning-effort override) · thinking on) via Codex CLI 0.163.0 (codex exec --json), cloud.
  3. It counts as a success only if it meets every success criterion: 1. price(order) is called on 800 seeded random orders (tiers, regions, coupons, quantities incl. >=10) and must match the reference implementation within half a cent on every order (0 mismatches); exceptions count as mismatches. 2. Maximum nesting depth of if/for/while/with/try inside any function must be <= 3 (elif chains count as one level), measured with the AST. 3. pricing.py must contain a dict literal mentioning 'gold' (tier discounts kept in a data table).
  4. Log model, tokens, wall time, human step-ins and the evidence log, then submit it as a reproduction. A different model? Submit a head-to-head rerun.

How runs are scored: Methodology.

Was this useful?

⇄ Rerun on another model

Automated checks

Trust 80% comes from these checks (how Trust % works).

Evidence log
{"type": "thread.started", "thread_id": "01a16417-f402-7b00-85ad-c36aa64e192d"}
{"type": "turn.started"}
{"type": "item.completed", "item": {"id": "item_0", "type": "agent_message", "text": "I\u2019ll inspect the pricing rules, refactor them into small helpers, and add tests for legacy behavior and the bulk discount.\n"}}
{"type": "item.started", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd; rg --files -g 'AGENTS.md' -g '*pricing*' -g 'pyproject.toml' -g 'pytest.ini'\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_1", "type": "command_execution", "command": "/bin/bash -lc \"pwd; rg --files -g 'AGENTS.md' -g '*pricing*' -g 'pyproject.toml' -g 'pytest.ini'\"", "aggregated_output": "/home/bob/usecase-runs/batch/out/gpt-6.1-sol/138_c02/work\npricing.py\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc \"cat pricing.py; rg --files -g '\"'! .git'\"'\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_2", "type": "command_execution", "command": "/bin/bash -lc \"cat pricing.py; rg --files -g '\"'! .git'\"'\"", "aggregated_output": "# Legacy pricing engine. DO NOT change behaviour except where the new requirement says so.\ndef price(order):\n    total = 0\n    for it in order[\"items\"]:\n        if it[\"category\"] == \"books\":\n            if order[\"customer\"][\"tier\"] == \"gold\":\n                total += it[\"unit\"] * it[\"qty\"] * 0.9\n            else:\n                if order[\"customer\"][\"tier\"] == \"silver\":\n                    total += it[\"unit\"] * it[\"qty\"] * 0.95\n                else:\n                    total += it[\"unit\"] * it[\"qty\"]\n        else:\n            if it[\"category\"] == \"electronics\":\n                if order[\"customer\"][\"tier\"] == \"gold\":\n                    total += it[\"unit\"] * it[\"qty\"] * 0.97\n                else:\n                    total += it[\"unit\"] * it[\"qty\"]\n            else:\n                if order[\"customer\"][\"tier\"] == \"gold\":\n                    total += it[\"unit\"] * it[\"qty\"] * 0.95\n                else:\n                    if order[\"customer\"][\"tier\"] == \"silver\":\n                        total += it[\"unit\"] * it[\"qty\"] * 0.98\n                    else:\n                        total += it[\"unit\"] * it[\"qty\"]\n    if order.get(\"coupon\"):\n        if order[\"coupon\"] == \"SAVE10\":\n            if total >= 50:\n                total = total - 10\n        else:\n            if order[\"coupon\"] == \"SAVE20\":\n                if total >= 150:\n                    total = total * 0.8\n                else:\n                    if total >= 100:\n                        total = total * 0.9\n            else:\n                if order[\"coupon\"] == \"FREESHIP\":\n                    pass\n    ship = 0\n    if order[\"region\"] == \"EU\":\n        if total < 60:\n            ship = 6.5\n        if order.get(\"coupon\") == \"FREESHIP\":\n            ship = 0\n        tax = 0.2\n    else:\n        if order[\"region\"] == \"US\":\n            if total < 75:\n                ship = 8\n            else:\n                if order[\"customer\"][\"tier\"] != \"gold\":\n                    if total < 100:\n                        ship = 3\n            if order.get(\"coupon\") == \"FREESHIP\":\n                if total >= 25:\n                    ship = 0\n            tax = 0.07\n        else:\n            ship = 15\n            tax = 0\n    total = total + ship\n    total = total + total * tax if order[\"region\"] != \"US\" else total + (total - ship) * tax\n    return round(total, 2)\npricing.py\nTASK.md\n", "exit_code": 0, "status": "completed"}}
{"type": "item.started", "item": {"id": "item_3", "type": "command_execution", "command": "/bin/bash -lc 'cp pricing.py /tmp/pricing_legacy_138_c02.py; cat TASK.md; git status --short'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_3", "type": "command_execution", "command": "/bin/bash -lc 'cp pricing.py /tmp/pricing_legacy_138_c02.py; cat TASK.md; git status --short'", "aggregated_output": "# Task: refactor the legacy pricing engine and add one rule\n`pricing.py` has a deeply nested `price(order)` function. \n1. Refactor it so it is readable: no function may have nesting depth greater than 3 (if/for/while/with/try blocks), and the category/tier discounts must live in a data table, not if-chains. Behaviour must stay IDENTICAL for every order (outputs are compared to the old version on hundreds of random orders, rounded to cents).\n2. Add a new rule: **bulk discount** \u2014 any line item with qty >= 10 gets an extra 5% off that line, applied after the tier discount and before coupons. The bulk discount does NOT combine with coupon \"SAVE20\" (if SAVE20 is present, no bulk discount anywhere).\nKeep the signature `price(order) -> float`. Add tests in `test_pricing.py`. No network, no new dependencies.\nOrder shape: {\"customer\":{\"tier\":\"gold|silver|none\"},\"region\":\"EU|US|ROW\",\"coupon\":null|\"SAVE10\"|\"SAVE20\"|\"FREESHIP\",\"items\":[{\"category\":\"books|electronics|toys|garden\",\"unit\":float,\"qty\":int}]}\nfatal: not a git repository (or any of the parent directories): .git\n", "exit_code": 128, "status": "failed"}}
{"type": "item.started", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc \"cat > pricing.py <<'PY'\n\\\"\\\"\\\"Order pricing: line discounts, coupons, shipping, then regional tax.\\\"\\\"\\\"\n\nTIER_MULTIPLIERS = {\n    \\\"books\\\": {\\\"gold\\\": 0.9, \\\"silver\\\": 0.95},\n    \\\"electronics\\\": {\\\"gold\\\": 0.97},\n    \\\"toys\\\": {\\\"gold\\\": 0.95, \\\"silver\\\": 0.98},\n    \\\"garden\\\": {\\\"gold\\\": 0.95, \\\"silver\\\": 0.98},\n}\n\n\ndef _subtotal(order):\n    total = 0\n    tier = order[\\\"customer\\\"][\\\"tier\\\"]\n    bulk_allowed = order.get(\\\"coupon\\\") \"'!= \"SAVE20\"\n    for item in order[\"items\"]:\n        # Unknown categories retain the legacy toys/garden treatment.\n        discounts = TIER_MULTIPLIERS.get(item[\"category\"], TIER_MULTIPLIERS[\"toys\"])\n        line = item[\"unit\"] * item[\"qty\"]\n        if tier in discounts:\n            line *= discounts[tier]\n        if bulk_allowed and item[\"qty\"] >= 10:\n            line *= 0.95\n        total += line\n    return total\n\n\ndef _apply_coupon(total, coupon):\n    if coupon == \"SAVE10\" and total >= 50:\n        return total - 10\n    if coupon == \"SAVE20\":\n        if total >= 150:\n            return total * 0.8\n        if total >= 100:\n            return total * 0.9\n    return total\n\n\ndef _shipping(total, region, tier, coupon):\n    if region == \"EU\":\n        return 6.5 if total < 60 and coupon != \"FREESHIP\" else 0\n    if region != \"US\":\n        return 15\n    if coupon == \"FREESHIP\" and total >= 25:\n        return 0\n    if total < 75:\n        return 8\n    if tier != \"gold\" and total < 100:\n        return 3\n    return 0\n\n\ndef price(order) -> float:\n    \"\"\"Return the final price, rounded to cents.\"\"\"\n    coupon = order.get(\"coupon\")\n    total = _apply_coupon(_subtotal(order), coupon)\n    region = order[\"region\"]\n    ship = _shipping(total, region, order[\"customer\"][\"tier\"], coupon)\n    total = total + ship\n    if region == \"US\":\n        total = total + (total - ship) * 0.07\n    else:\n        tax = 0.2 if region == \"EU\" else 0\n        total = total + total * tax\n    return round(total, 2)\nPY'", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_4", "type": "command_execution", "command": "/bin/bash -lc \"cat > pricing.py <<'PY'\n\\\"\\\"\\\"Order pricing: line discounts, coupons, shipping, then regional tax.\\\"\\\"\\\"\n\nTIER_MULTIPLIERS = {\n    \\\"books\\\": {\\\"gold\\\": 0.9, \\\"silver\\\": 0.95},\n    \\\"electronics\\\": {\\\"gold\\\": 0.97},\n    \\\"toys\\\": {\\\"gold\\\": 0.95, \\\"silver\\\": 0.98},\n    \\\"garden\\\": {\\\"gold\\\": 0.95, \\\"silver\\\": 0.98},\n}\n\n\ndef _subtotal(order):\n    total = 0\n    tier = order[\\\"customer\\\"][\\\"tier\\\"]\n    bulk_allowed = order.get(\\\"coupon\\\") \"'!= \"SAVE20\"\n    for item in order[\"items\"]:\n        # Unknown categories retain the legacy toys/garden treatment.\n        discounts = TIER_MULTIPLIERS.get(item[\"category\"], TIER_MULTIPLIERS[\"toys\"])\n        line = item[\"unit\"] * item[\"qty\"]\n        if tier in discounts:\n            line *= discounts[tier]\n        if bulk_allowed and item[\"qty\"] >= 10:\n            line *= 0.95\n        total += line\n    return total\n\n\ndef _apply_coupon(total, coupon):\n    if coupon == \"SAVE10\" and total >= 50:\n        return total - 10\n    if coupon == \"SAVE20\":\n        if total >= 150:\n            return total * 0.8\n        if total >= 100:\n            return total * 0.9\n    return total\n\n\ndef _shipping(total, region, tier, coupon):\n    if region == \"EU\":\n        return 6.5 if total < 60 and coupon != \"FREESHIP\" else 0\n    if region != \"US\":\n        return 15\n    if coupon == \"FREESHIP\" and total >= 25:\n        return 0\n    if total < 75:\n        return 8\n    if tier != \"gold\" and total < 100:\n        return 3\n    return 0\n\n\ndef price(order) -> float:\n    \"\"\"Return the final price, rounded to cents.\"\"\"\n    coupon = order.get(\"coupon\")\n    total = _apply_coupon(_subtotal(order), coupon)\n    region = order[\"region\"]\n    ship = _shipping(total, region, order[\"customer\"][\"tier\"], coupon)\n    total = total + ship\n    if region == \"US\":\n        total = total + (total - ship) * 0.07\n    else:\n        tax = 0.2 if region == \"EU\" else 0\n        total = total + total * tax\n    return round(total, 2)\nPY'", "aggregated_output": "", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_5", "type": "agent_message", "text": "The refactor preserves the legacy order of coupon, shipping, and tax calculations. Bulk discounts now apply per line after tier discounts, with `SAVE20` disabling them even below its coupon threshold. I\u2019m checking legacy results and adding tests around the discount and shipping thresholds.\n"}}
{"type": "item.started", "item": {"id": "item_6", "type": "command_execution", "command": "/bin/bash -lc \"cat > test_pricing.py <<'PY'\n\\\"\\\"\\\"Run with python -m unittest -v (no third-party dependencies).\\\"\\\"\\\"\nimport ast\nimport hashlib\nimport inspect\nimport json\nimport random\nimport unittest\n\nimport pricing\n\n\ndef order(unit=10, qty=1, category=\\\"books\\\", tier=\\\"none\\\", region=\\\"ROW\\\", coupon=None):\n    return {\n        \\\"customer\\\": {\\\"tier\\\": tier}, \\\"region\\\": region, \\\"coupon\\\": coupon,\n        \\\"items\\\": [{\\\"category\\\": category, \\\"unit\\\": unit, \\\"qty\\\": qty}],\n    }\n\n\ndef legacy_orders():\n    \\\"\\\"\\\"Stable random orders where the new bulk rule cannot change results.\\\"\\\"\\\"\n    rng = random.Random(138)\n    for index in range(1200):\n        coupon = rng.choice([None, \\\"SAVE10\\\", \\\"SAVE20\\\", \\\"FREESHIP\\\"])\n        sample = order(tier=rng.choice([\\\"gold\\\", \\\"silver\\\", \\\"none\\\"]),\n                       region=rng.choice([\\\"EU\\\", \\\"US\\\", \\\"ROW\\\"]), coupon=coupon)\n        sample[\\\"items\\\"] = [\n            {\\\"category\\\": rng.choice([\\\"books\\\", \\\"electronics\\\", \\\"toys\\\", \\\"garden\\\"]),\n             \\\"unit\\\": rng.uniform(0, 120),\n             \\\"qty\\\": rng.randint(0, 30 if coupon == \\\"SAVE20\\\" else 9)}\n            for _ in range(rng.randint(0, 8))\n        ]\n        yield sample\n\n\nclass PricingTests(unittest.TestCase):\n    def test_legacy_regression(self):\n        # Digest recorded from the unmodified legacy engine for these 1,200 orders.\n        results = [pricing.price(sample) for sample in legacy_orders()]\n        digest = hashlib.sha256(json.dumps(results).encode()).hexdigest()\n        self.assertEqual(digest, \\\"LEGACY_DIGEST\\\")\n\n    def test_category_tier_discounts(self):\n        expected = {\n            \\\"books\\\": [105, 110, 115], \\\"electronics\\\": [112, 115, 115],\n            \\\"toys\\\": [110, 113, 115], \\\"garden\\\": [110, 113, 115],\n        }\n        for category, totals in expected.items():\n            for tier, total in zip([\\\"gold\\\", \\\"silver\\\", \\\"none\\\"], totals):\n                with self.subTest(category=category, tier=tier):\n                    self.assertEqual(pricing.price(order(100, category=category, tier=tier)), total)\n\n    def test_bulk_threshold_and_tier_order(self):\n        self.assertEqual(pricing.price(order(qty=9)), 105)\n        self.assertEqual(pricing.price(order(qty=10)), 110)\n        self.assertEqual(pricing.price(order(qty=11)), 119.5)\n        self.assertEqual(pricing.price(order(qty=10, tier=\\\"gold\\\")), 100.5)\n\n    def test_bulk_is_per_line(self):\n        sample = order(qty=10)\n        sample[\\\"items\\\"].append({\\\"category\\\": \\\"books\\\", \\\"unit\\\": 10, \\\"qty\\\": 9})\n        self.assertEqual(pricing.price(sample), 200)\n        sample[\\\"items\\\"][0][\\\"qty\\\"] = 9\n        self.assertEqual(pricing.price(sample), 195)\n\n    def test_bulk_before_save10_threshold(self):\n        self.assertEqual(pricing.price(order(5, 10, coupon=\\\"SAVE10\\\")), 62.5)\n        self.assertEqual(pricing.price(order(6, 10, coupon=\\\"SAVE10\\\")), 62)\n\n    def test_save20_disables_bulk_at_all_thresholds(self):\n        for subtotal, expected in [(50, 65), (99, 114), (100, 105), (149, 149.1), (150, 135)]:\n            with self.subTest(subtotal=subtotal):\n                self.assertEqual(pricing.price(order(subtotal / 10, 10, coupon=\\\"SAVE20\\\")), expected)\n\n    def test_shipping_and_tax_boundaries(self):\n        cases = [\n            (59, \\\"EU\\\", \\\"none\\\", None, 78.6), (60, \\\"EU\\\", \\\"none\\\", None, 72),\n            (10, \\\"EU\\\", \\\"none\\\", \\\"FREESHIP\\\", 12),\n            (24, \\\"US\\\", \\\"none\\\", \\\"FREESHIP\\\", 33.68),\n            (25, \\\"US\\\", \\\"none\\\", \\\"FREESHIP\\\", 26.75),\n            (74, \\\"US\\\", \\\"none\\\", None, 87.18), (75, \\\"US\\\", \\\"none\\\", None, 83.25),\n            (100, \\\"US\\\", \\\"none\\\", None, 107),\n            (80, \\\"US\\\", \\\"gold\\\", None, 85.6),\n            (10, \\\"ROW\\\", \\\"none\\\", \\\"FREESHIP\\\", 25),\n        ]\n        for unit, region, tier, coupon, expected in cases:\n            with self.subTest(unit=unit, region=region, tier=tier, coupon=coupon):\n                self.assertEqual(pricing.price(order(unit, category=\\\"electronics\\\", region=region,\n                                                     tier=tier, coupon=coupon)),\n                                 expected if tier \"'!= \"gold\" else 83.03)\n\n    def test_bulk_changes_shipping_threshold(self):\n        self.assertEqual(pricing.price(order(6, 10, region=\"EU\")), 76.2)\n        self.assertEqual(pricing.price(order(8, 10, region=\"US\")), 84.32)\n        self.assertEqual(pricing.price(order(6, 10, region=\"EU\", coupon=\"FREESHIP\")), 68.4)\n\n    def test_empty_order_and_no_mutation(self):\n        sample = order(qty=10, tier=\"gold\")\n        original = json.dumps(sample, sort_keys=True)\n        pricing.price(sample)\n        self.assertEqual(json.dumps(sample, sort_keys=True), original)\n        sample[\"items\"] = []\n        self.assertEqual(pricing.price(sample), 15)\n\n    def test_nesting_depth(self):\n        tree = ast.parse(inspect.getsource(pricing))\n        blocks = (ast.If, ast.For, ast.While, ast.With, ast.Try)\n\n        def depth(node, current=0):\n            current += isinstance(node, blocks)\n            return max([current] + [depth(child, current) for child in ast.iter_child_nodes(node)])\n\n        for node in ast.walk(tree):\n            if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)):\n                self.assertLessEqual(depth(node), 3, node.name)\n\n\nif __name__ == \"__main__\":\n    unittest.main()\nPY\npython - <<'\"'PY'\nimport hashlib\nimport importlib.util\nimport json\nfrom pathlib import Path\nfrom test_pricing import legacy_orders\nspec = importlib.util.spec_from_file_location('legacy', '/tmp/pricing_legacy_138_c02.py')\nlegacy = importlib.util.module_from_spec(spec)\nspec.loader.exec_module(legacy)\nresults = [legacy.price(sample) for sample in legacy_orders()]\np = Path('test_pricing.py')\np.write_text(p.read_text().replace('LEGACY_DIGEST', hashlib.sha256(json.dumps(results).encode()).hexdigest()))\nPY\npython -m unittest -v\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_6", "type": "command_execution", "command": "/bin/bash -lc \"cat > test_pricing.py <<'PY'\n\\\"\\\"\\\"Run with python -m unittest -v (no third-party dependencies).\\\"\\\"\\\"\nimport ast\nimport hashlib\nimport inspect\nimport json\nimport random\nimport unittest\n\nimport pricing\n\n\ndef order(unit=10, qty=1, category=\\\"books\\\", tier=\\\"none\\\", region=\\\"ROW\\\", coupon=None):\n    return {\n        \\\"customer\\\": {\\\"tier\\\": tier}, \\\"region\\\": region, \\\"coupon\\\": coupon,\n        \\\"items\\\": [{\\\"category\\\": category, \\\"unit\\\": unit, \\\"qty\\\": qty}],\n    }\n\n\ndef legacy_orders():\n    \\\"\\\"\\\"Stable random orders where the new bulk rule cannot change results.\\\"\\\"\\\"\n    rng = random.Random(138)\n    for index in range(1200):\n        coupon = rng.choice([None, \\\"SAVE10\\\", \\\"SAVE20\\\", \\\"FREESHIP\\\"])\n        sample = order(tier=rng.choice([\\\"gold\\\", \\\"silver\\\", \\\"none\\\"]),\n                       region=rng.choice([\\\"EU\\\", \\\"US\\\", \\\"ROW\\\"]), coupon=coupon)\n        sample[\\\"items\\\"] = [\n            {\\\"category\\\": rng.choice([\\\"books\\\", \\\"electronics\\\", \\\"toys\\\", \\\"garden\\\"]),\n             \\\"unit\\\": rng.uniform(0, 120),\n             \\\"qty\\\": rng.randint(0, 30 if coupon == \\\"SAVE20\\\" else 9)}\n            for _ in range(rng.randint(0, 8))\n        ]\n        yield sample\n\n\nclass PricingTests(unittest.TestCase):\n    def test_legacy_regression(self):\n        # Digest recorded from the unmodified legacy engine for these 1,200 orders.\n        results = [pricing.price(sample) for sample in legacy_orders()]\n        digest = hashlib.sha256(json.dumps(results).encode()).hexdigest()\n        self.assertEqual(digest, \\\"LEGACY_DIGEST\\\")\n\n    def test_category_tier_discounts(self):\n        expected = {\n            \\\"books\\\": [105, 110, 115], \\\"electronics\\\": [112, 115, 115],\n            \\\"toys\\\": [110, 113, 115], \\\"garden\\\": [110, 113, 115],\n        }\n        for category, totals in expected.items():\n            for tier, total in zip([\\\"gold\\\", \\\"silver\\\", \\\"none\\\"], totals):\n                with self.subTest(category=category, tier=tier):\n                    self.assertEqual(pricing.price(order(100, category=category, tier=tier)), total)\n\n    def test_bulk_threshold_and_tier_order(self):\n        self.assertEqual(pricing.price(order(qty=9)), 105)\n        self.assertEqual(pricing.price(order(qty=10)), 110)\n        self.assertEqual(pricing.price(order(qty=11)), 119.5)\n        self.assertEqual(pricing.price(order(qty=10, tier=\\\"gold\\\")), 100.5)\n\n    def test_bulk_is_per_line(self):\n        sample = order(qty=10)\n        sample[\\\"items\\\"].append({\\\"category\\\": \\\"books\\\", \\\"unit\\\": 10, \\\"qty\\\": 9})\n        self.assertEqual(pricing.price(sample), 200)\n        sample[\\\"items\\\"][0][\\\"qty\\\"] = 9\n        self.assertEqual(pricing.price(sample), 195)\n\n    def test_bulk_before_save10_threshold(self):\n        self.assertEqual(pricing.price(order(5, 10, coupon=\\\"SAVE10\\\")), 62.5)\n        self.assertEqual(pricing.price(order(6, 10, coupon=\\\"SAVE10\\\")), 62)\n\n    def test_save20_disables_bulk_at_all_thresholds(self):\n        for subtotal, expected in [(50, 65), (99, 114), (100, 105), (149, 149.1), (150, 135)]:\n            with self.subTest(subtotal=subtotal):\n                self.assertEqual(pricing.price(order(subtotal / 10, 10, coupon=\\\"SAVE20\\\")), expected)\n\n    def test_shipping_and_tax_boundaries(self):\n        cases = [\n            (59, \\\"EU\\\", \\\"none\\\", None, 78.6), (60, \\\"EU\\\", \\\"none\\\", None, 72),\n            (10, \\\"EU\\\", \\\"none\\\", \\\"FREESHIP\\\", 12),\n            (24, \\\"US\\\", \\\"none\\\", \\\"FREESHIP\\\", 33.68),\n            (25, \\\"US\\\", \\\"none\\\", \\\"FREESHIP\\\", 26.75),\n            (74, \\\"US\\\", \\\"none\\\", None, 87.18), (75, \\\"US\\\", \\\"none\\\", None, 83.25),\n            (100, \\\"US\\\", \\\"none\\\", None, 107),\n            (80, \\\"US\\\", \\\"gold\\\", None, 85.6),\n            (10, \\\"ROW\\\", \\\"none\\\", \\\"FREESHIP\\\", 25),\n        ]\n        for unit, region, tier, coupon, expected in cases:\n            with self.subTest(unit=unit, region=region, tier=tier, coupon=coupon):\n                self.assertEqual(pricing.price(order(unit, category=\\\"electronics\\\", region=region,\n                                                     tier=tier, coupon=coupon)),\n                                 expected if tier \"'!= \"gold\" else 83.03)\n\n    def test_bulk_changes_shipping_threshold(self):\n        self.assertEqual(pricing.price(order(6, 10, region=\"EU\")), 76.2)\n        self.assertEqual(pricing.price(order(8, 10, region=\"US\")), 84.32)\n        self.assertEqual(pricing.price(order(6, 10, region=\"EU\", coupon=\"FREESHIP\")), 68.4)\n\n    def test_empty_order_and_no_mutation(self):\n        sample = order(qty=10, tier=\"gold\")\n        original = json.dumps(sample, sort_keys=True)\n        pricing.price(sample)\n        self.assertEqual(json.dumps(sample, sort_keys=True), original)\n        sample[\"items\"] = []\n        self.assertEqual(pricing.price(sample), 15)\n\n    def test_nesting_depth(self):\n        tree = ast.parse(inspect.getsource(pricing))\n        blocks = (ast.If, ast.For, ast.While, ast.With, ast.Try)\n\n        def depth(node, current=0):\n            current += isinstance(node, blocks)\n            return max([current] + [depth(child, current) for child in ast.iter_child_nodes(node)])\n\n        for node in ast.walk(tree):\n            if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)):\n                self.assertLessEqual(depth(node), 3, node.name)\n\n\nif __name__ == \"__main__\":\n    unittest.main()\nPY\npython - <<'\"'PY'\nimport hashlib\nimport importlib.util\nimport json\nfrom pathlib import Path\nfrom test_pricing import legacy_orders\nspec = importlib.util.spec_from_file_location('legacy', '/tmp/pricing_legacy_138_c02.py')\nlegacy = importlib.util.module_from_spec(spec)\nspec.loader.exec_module(legacy)\nresults = [legacy.price(sample) for sample in legacy_orders()]\np = Path('test_pricing.py')\np.write_text(p.read_text().replace('LEGACY_DIGEST', hashlib.sha256(json.dumps(results).encode()).hexdigest()))\nPY\npython -m unittest -v\"", "aggregated_output": "/bin/bash: line 121: python: command not found\n/bin/bash: line 134: python: command not found\n", "exit_code": 127, "status": "failed"}}
{"type": "item.started", "item": {"id": "item_7", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nimport hashlib\nimport importlib.util\nimport json\nfrom pathlib import Path\nfrom test_pricing import legacy_orders\nspec = importlib.util.spec_from_file_location('legacy', '/tmp/pricing_legacy_138_c02.py')\nlegacy = importlib.util.module_from_spec(spec)\nspec.loader.exec_module(legacy)\nresults = [legacy.price(sample) for sample in legacy_orders()]\np = Path('test_pricing.py')\ns = p.read_text().replace('LEGACY_DIGEST', hashlib.sha256(json.dumps(results).encode()).hexdigest())\ns = s.replace('python -m unittest', 'python3 -m unittest').replace('(80, \\\"US\\\", \\\"gold\\\", None, 85.6)', '(80, \\\"US\\\", \\\"gold\\\", None, 83.03)').replace('expected if tier \"'!= \"gold\" else 83.03'\"', 'expected')\np.write_text(s)\nPY\npython3 -m unittest -v\"", "aggregated_output": "", "exit_code": null, "status": "in_progress"}}
{"type": "item.completed", "item": {"id": "item_7", "type": "command_execution", "command": "/bin/bash -lc \"python3 - <<'PY'\nimport hashlib\nimport importlib.util\nimport json\nfrom pathlib import Path\nfrom test_pricing import legacy_orders\nspec = importlib.util.spec_from_file_location('legacy', '/tmp/pricing_legacy_138_c02.py')\nlegacy = importlib.util.module_from_spec(spec)\nspec.loader.exec_module(legacy)\nresults = [legacy.price(sample) for sample in legacy_orders()]\np = Path('test_pricing.py')\ns = p.read_text().replace('LEGACY_DIGEST', hashlib.sha256(json.dumps(results).encode()).hexdigest())\ns = s.replace('python -m unittest', 'python3 -m unittest').replace('(80, \\\"US\\\", \\\"gold\\\", None, 85.6)', '(80, \\\"US\\\", \\\"gold\\\", None, 83.03)').replace('expected if tier \"'!= \"gold\" else 83.03'\"', 'expected')\np.write_text(s)\nPY\npython3 -m unittest -v\"", "aggregated_output": "test_bulk_before_save10_threshold (test_pricing.PricingTests.test_bulk_before_save10_threshold) ... ok\ntest_bulk_changes_shipping_threshold (test_pricing.PricingTests.test_bulk_changes_shipping_threshold) ... ok\ntest_bulk_is_per_line (test_pricing.PricingTests.test_bulk_is_per_line) ... ok\ntest_bulk_threshold_and_tier_order (test_pricing.PricingTests.test_bulk_threshold_and_tier_order) ... ok\ntest_category_tier_discounts (test_pricing.PricingTests.test_category_tier_discounts) ... ok\ntest_empty_order_and_no_mutation (test_pricing.PricingTests.test_empty_order_and_no_mutation) ... ok\ntest_legacy_regression (test_pricing.PricingTests.test_legacy_regression) ... ok\ntest_nesting_depth (test_pricing.PricingTests.test_nesting_depth) ... ok\ntest_save20_disables_bulk_at_all_thresholds (test_pricing.PricingTests.test_save20_disables_bulk_at_all_thresholds) ... ok\ntest_shipping_and_tax_boundaries (test_pricing.PricingTests.test_shipping_and_tax_boundaries) ... ok\n\n----------------------------------------------------------------------\nRan 10 tests in 0.009s\n\nOK\n", "exit_code": 0, "status": "completed"}}
{"type": "item.completed", "item": {"id": "item_8", "type": "agent_message", "text": "Refactored `pricing.py` into readable helpers with table-driven tier discounts and nesting depth \u2264 3. Added the bulk discount, disabled whenever `SAVE20` is present.\n\nAdded `test_pricing.py` covering thresholds, shipping, tax, and 1,200 randomized legacy comparisons.\n\nValidation: `python3 -m unittest -v` \u2014 all 10 tests pass."}}
{"type": "turn.completed", "usage": {"input_tokens": 118284, "cached_input_tokens": 100608, "cache_write_input_tokens": 0, "output_tokens": 3232, "reasoning_output_tokens": 287}}

Get new runs and ranking changes weekly