{"category":"coding","cohort":{"bank_hash":"fce29b4d66cfddeab39632d451935271a37df595374b40eacd300201e3726291","created":"2026-10-05T05:41:13.124828+00:00","id":"2cc80710990cbbfe8971b2b3d131095d5854074750f841cdd24aa642151e56b5","initiated_trials":108,"protocol_hash":"90b114dd8a70ecbf3aecc35f58cea1ba85c786554aee9835a38a1c518293da05","required_trials":108,"status":"complete"},"disclosure":"No supplied credits or affiliate influence recorded. 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No paid execution until explicit user authorization lifts the hold; original approved definitions and evidence are retained.","attempts_per_trial":1,"categories":["coding","math"],"coding_artifact_contract":"Python source only; restricted module members and safe built-ins stated explicitly; input mutation is rejected on every task; return JSON-serializable values. Python None represents null. Ordered mapping tasks enforce dictionary key order.","coding_numeric_contract":"Numeric strings are rejected for coding; integer expectations use exact numerical equality. Floating values retain the declared tolerance.","coding_scope":"Python function implementation on twelve specified software maintenance tasks; no IDE, repository editing, browsing or agent harness.","cohort_window_hours":72,"cost":"Retain estimated consumption, billed reconciliation, fee holds and cash purchases separately. All cohort attempts count in cost numerators. Zero successes means unavailable cost per success. 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Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {total:nonnegative integer,weights:[nonnegative integer,...]}. Allocate proportionally using largest remainders: floor each share, then give leftover cents to largest fractional remainders, ties to lower index. If weights empty return []; if all zero return zeros.","raw_response_hash":"139d9dd7ef67fe53a35887212b0eb65b7d4bcfdb8f5ac611a8763a3cfa06df0a","repetition":2,"request_hash":"8f8fea9e0844380ce452ee0c3c4104918183e8ebaf93b4b8294ff626af4ddc88","request_id":"req_011CfiZagTVACnfe1S8fgxqA","sent_at":"2026-10-05T05:47:02.089481+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-allocate","trial_id":"c37c411d8988750ac54a78770b661277d6854e89cd55c89b8f698d8a17edf8ae","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":606,"output_tokens":194,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"import math\n\ndef solve(data):\n    total = data[\"total\"]\n    weights = data[\"weights\"]\n    n = len(weights)\n    if n == 0:\n        return []\n    s = sum(weights)\n    if s == 0:\n        return [0] * n\n    base = []\n    rems = []\n    for i, w in enumerate(weights):\n        q, r = divmod(total * w, s)\n        base.append(q)\n        rems.append((-r, i))\n    left = total - sum(base)\n    order = sorted(rems)\n    for k in range(left):\n        base[order[k][1]] += 1\n    return base","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.003102,"finished_at":"2026-10-05T05:54:04.481418+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"6f5030ca56474368542c2b29a8e7e9e440c09d0ccaf53dfa32d4ad8c66c59210","latency_seconds":2.230613,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {total:nonnegative integer,weights:[nonnegative integer,...]}. Allocate proportionally using largest remainders: floor each share, then give leftover cents to largest fractional remainders, ties to lower index. If weights empty return []; if all zero return zeros.","raw_response_hash":"f2c2701446174761de1d5dee2d19f09166690a63cc308219ed3bcbe340c45e57","repetition":3,"request_hash":"8f8fea9e0844380ce452ee0c3c4104918183e8ebaf93b4b8294ff626af4ddc88","request_id":"req_011Cfia7f13DrCtAtg84rXWr","sent_at":"2026-10-05T05:54:02.250805+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-allocate","trial_id":"06e9a151d2486e97d11c3280bc0c866c75ada65437a860530a460ebfe847ce0f","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":606,"output_tokens":189,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"def solve(data):\n    weights = data[\"weights\"]\n    total = data[\"total\"]\n    if not weights:\n        return []\n    sum_w = sum(weights)\n    if sum_w == 0:\n        return [0] * len(weights)\n\n    shares = [0] * len(weights)\n    rems = [0] * len(weights)\n    for i, w in enumerate(weights):\n        q, r = divmod(total * w, sum_w)\n        shares[i] = q\n        rems[i] = r\n\n    leftover = total - sum(shares)\n    sorted_indices = sorted(range(len(weights)), key=lambda i: (-rems[i], i))\n\n    for idx in sorted_indices[:leftover]:\n        shares[idx] += 1\n\n    return shares","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.005601,"finished_at":"2026-10-05T05:45:08.097476+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"6f5030ca56474368542c2b29a8e7e9e440c09d0ccaf53dfa32d4ad8c66c59210","latency_seconds":5.429287,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {total:nonnegative integer,weights:[nonnegative integer,...]}. Allocate proportionally using largest remainders: floor each share, then give leftover cents to largest fractional remainders, ties to lower index. 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Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {total:nonnegative integer,weights:[nonnegative integer,...]}. Allocate proportionally using largest remainders: floor each share, then give leftover cents to largest fractional remainders, ties to lower index. 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Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {total:nonnegative integer,weights:[nonnegative integer,...]}. Allocate proportionally using largest remainders: floor each share, then give leftover cents to largest fractional remainders, ties to lower index. If weights empty return []; if all zero return zeros.","raw_response_hash":"40eaebf0d548484b82c94346022db5558e866dfd04f63170a7eb96a4b8df6c19","repetition":3,"request_hash":"e0ab5838cf2ce8e1d9501660950534f8f0c9421f7ad14db7586b57e30d617ba4","request_id":null,"sent_at":"2026-10-05T05:53:53.693272+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-allocate","trial_id":"5fb639b76789cfc4416e425adf4a68f65096582f2b41e9e9360e6fbd7777c143","usage":{"candidatesTokenCount":166,"promptTokenCount":392,"promptTokensDetails":[{"modality":"TEXT","tokenCount":392}],"serviceTier":"standard","thoughtsTokenCount":1254,"totalTokenCount":1812}},{"answer":"def solve(data):\n    total = data[\"total\"]\n    weights = data[\"weights\"]\n    weight_sum = sum(weights)\n    if not weights:\n        return []\n    if weight_sum == 0:\n        return [0 for _ in weights]\n\n    shares = [divmod(total * weight, weight_sum) for weight in weights]\n    result = [share[0] for share in shares]\n    leftover = total - sum(result)\n    order = sorted(range(len(weights)), key=lambda i: (-shares[i][1], i))\n    for i in order[:leftover]:\n        result[i] += 1\n    return result","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002124,"finished_at":"2026-10-05T05:45:00.627293+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"6f5030ca56474368542c2b29a8e7e9e440c09d0ccaf53dfa32d4ad8c66c59210","latency_seconds":3.004274,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {total:nonnegative integer,weights:[nonnegative integer,...]}. Allocate proportionally using largest remainders: floor each share, then give leftover cents to largest fractional remainders, ties to lower index. If weights empty return []; if all zero return zeros.","raw_response_hash":"be3e896df607641e60689053c1847b3bf85bba16e6ba768c5a9b36929fbbd28a","repetition":1,"request_hash":"8c56404b226c2a9c2ac74b4698f86a7b335177c7fc72120a613b3e74522cef95","request_id":"req_6692f225837b41e192234da30f2dc4ff","sent_at":"2026-10-05T05:44:57.623019+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-allocate","trial_id":"431df088c1a465045a0f2b41fcb4b81bc080b97ab1339b0e5ee65e1476bb7b46","usage":{"input_tokens":397,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":133,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":530}},{"answer":"def solve(data):\n    total = data[\"total\"]\n    weights = data[\"weights\"]\n    weight_sum = sum(weights)\n    if not weights:\n        return []\n    if weight_sum == 0:\n        return [0 for _ in weights]\n\n    shares = [divmod(total * weight, weight_sum) for weight in weights]\n    result = [share[0] for share in shares]\n    leftover = total - sum(result)\n    order = sorted(range(len(weights)), key=lambda i: (-shares[i][1], i))\n    for i in order[:leftover]:\n        result[i] += 1\n    return result","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002124,"finished_at":"2026-10-05T05:47:13.524790+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"6f5030ca56474368542c2b29a8e7e9e440c09d0ccaf53dfa32d4ad8c66c59210","latency_seconds":2.993006,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {total:nonnegative integer,weights:[nonnegative integer,...]}. Allocate proportionally using largest remainders: floor each share, then give leftover cents to largest fractional remainders, ties to lower index. If weights empty return []; if all zero return zeros.","raw_response_hash":"f2908fa162552691fffb846c5fe7f6347138fe70b50932d528c45d4efe996156","repetition":2,"request_hash":"8c56404b226c2a9c2ac74b4698f86a7b335177c7fc72120a613b3e74522cef95","request_id":"req_8db017448b31437abf8a3cd7f369a608","sent_at":"2026-10-05T05:47:10.531784+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-allocate","trial_id":"a6856e2317d31df5872f183d6cb75039243daadb2965d7ddd3cfaee4b5710624","usage":{"input_tokens":397,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":133,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":530}},{"answer":"def solve(data):\n    total = data[\"total\"]\n    weights = data[\"weights\"]\n    weight_sum = sum(weights)\n    if not weights or weight_sum == 0:\n        return [0 for _ in weights]\n\n    shares = [divmod(total * weight, weight_sum) for weight in weights]\n    result = [share[0] for share in shares]\n    remaining = total - sum(result)\n    order = sorted(range(len(weights)), key=lambda i: (-shares[i][1], i))\n    for i in order[:remaining]:\n        result[i] += 1\n    return result","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002064,"finished_at":"2026-10-05T05:54:02.190178+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"6f5030ca56474368542c2b29a8e7e9e440c09d0ccaf53dfa32d4ad8c66c59210","latency_seconds":2.753897,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {total:nonnegative integer,weights:[nonnegative integer,...]}. Allocate proportionally using largest remainders: floor each share, then give leftover cents to largest fractional remainders, ties to lower index. If weights empty return []; if all zero return zeros.","raw_response_hash":"b4cc91d5a79ca293613d5967b69c04625b54ed49499716dbc3b2787fad388aad","repetition":3,"request_hash":"8c56404b226c2a9c2ac74b4698f86a7b335177c7fc72120a613b3e74522cef95","request_id":"req_56846c3985a84e1e813a4c71043b785a","sent_at":"2026-10-05T05:53:59.436281+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-allocate","trial_id":"589e1e158304c901070a17984eee8191d372ad2c283b77d7539b9d39b0dc54f2","usage":{"input_tokens":397,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":127,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":524}},{"answer":"import csv\nimport io\nimport re\n\ndef solve(data):\n    reader = csv.reader(io.StringIO(data))\n    pat = re.compile(r'[+-]?[0-9]+')\n    totals = {}\n    first = True\n    for row in reader:\n        if first:\n            first = False\n            continue\n        if not row:\n            continue\n        if len(row) != 2:\n            continue\n        cust, cents = row\n        if cust.strip() == \"\":\n            continue\n        c = cents.strip()\n        if not pat.fullmatch(c):\n            continue\n        v = int(c)\n        totals[cust] = totals.get(cust, 0) + v\n    return totals","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.003544,"finished_at":"2026-10-05T05:42:34.039679+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"514825fdf0f8f010cccd775b5916d114475bd2f64f5caaee4068d62ffafebf03","latency_seconds":2.233091,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is CSV text with header customer,cents, including quoted fields. Treat a customer containing only whitespace as blank. Trim surrounding whitespace from cents, then accept only an optional ASCII + or - followed by one or more ASCII digits 0-9. Ignore blank customers and invalid cents. Sum by customer and return a dictionary, including zero totals. Preserve customer spelling. CSV quoting is valid and the header is exactly customer,cents. Ignore rows missing either field or containing extra fields. Ignore empty lines. Whitespace means Python str.strip() whitespace. No dictionary key order is required.","raw_response_hash":"08e120449e8858ecc8fc92dd1424b7a277a14f26b17712cd92d2702dfa6bab23","repetition":1,"request_hash":"8c2f09153771fc03aaf788116843db1f6cc6ee2edea98e9e53747f3e531d5d2f","request_id":"req_011CfiZEkxYNvcq4d1Rv6Zbt","sent_at":"2026-10-05T05:42:31.806588+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-csv","trial_id":"657d97617f84e04d09899e1092937faef6c2cb60e611513b6cd5f9732b169205","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":722,"output_tokens":210,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"import csv\nimport io\nimport re\n\ndef solve(data):\n    reader = csv.reader(io.StringIO(data))\n    pat = re.compile(r'[+-]?[0-9]+')\n    totals = {}\n    first = True\n    for row in reader:\n        if first:\n            first = False\n            continue\n        if not row:\n            continue\n        if len(row) != 2:\n            continue\n        cust, cents = row[0], row[1].strip()\n        if cust.strip() == \"\":\n            continue\n        if not pat.fullmatch(cents):\n            continue\n        totals[cust] = totals.get(cust, 0) + int(cents)\n    return totals","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.003514,"finished_at":"2026-10-05T05:49:04.287268+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"514825fdf0f8f010cccd775b5916d114475bd2f64f5caaee4068d62ffafebf03","latency_seconds":2.045052,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is CSV text with header customer,cents, including quoted fields. Treat a customer containing only whitespace as blank. Trim surrounding whitespace from cents, then accept only an optional ASCII + or - followed by one or more ASCII digits 0-9. Ignore blank customers and invalid cents. Sum by customer and return a dictionary, including zero totals. Preserve customer spelling. CSV quoting is valid and the header is exactly customer,cents. Ignore rows missing either field or containing extra fields. Ignore empty lines. Whitespace means Python str.strip() whitespace. No dictionary key order is required.","raw_response_hash":"eaed3316867b2b4a718cf2849d017648cbc2cbfcbc116a78534df333223f0890","repetition":2,"request_hash":"8c2f09153771fc03aaf788116843db1f6cc6ee2edea98e9e53747f3e531d5d2f","request_id":"req_011CfiZjYK6hTfHTM2JSqSvo","sent_at":"2026-10-05T05:49:02.242216+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-csv","trial_id":"0bce33bf6e328ce3c8dafc00db82e4a01d1b2e856fcc8a0e451ec71ad8a556ad","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":722,"output_tokens":207,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"import csv\nimport io\nimport re\n\ndef solve(data):\n    reader = csv.reader(io.StringIO(data))\n    pat = re.compile(r'[+-]?[0-9]+')\n    totals = {}\n    first = True\n    for row in reader:\n        if first:\n            first = False\n            continue\n        if not row:\n            continue\n        if len(row) != 2:\n            continue\n        cust, cents = row\n        if cust.strip() == \"\":\n            continue\n        c = cents.strip()\n        if not pat.fullmatch(c):\n            continue\n        v = int(c)\n        totals[cust] = totals.get(cust, 0) + v\n    return totals","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.003544,"finished_at":"2026-10-05T05:52:24.040676+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"514825fdf0f8f010cccd775b5916d114475bd2f64f5caaee4068d62ffafebf03","latency_seconds":2.152819,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is CSV text with header customer,cents, including quoted fields. Treat a customer containing only whitespace as blank. Trim surrounding whitespace from cents, then accept only an optional ASCII + or - followed by one or more ASCII digits 0-9. Ignore blank customers and invalid cents. Sum by customer and return a dictionary, including zero totals. Preserve customer spelling. CSV quoting is valid and the header is exactly customer,cents. Ignore rows missing either field or containing extra fields. Ignore empty lines. Whitespace means Python str.strip() whitespace. No dictionary key order is required.","raw_response_hash":"9b146b92cbf5756f7f6326a7d2190041e9ac5e69e2324b6a2c8bd286fc43a4c8","repetition":3,"request_hash":"8c2f09153771fc03aaf788116843db1f6cc6ee2edea98e9e53747f3e531d5d2f","request_id":"req_011CfiZzFpKogy8Zz9JxREK3","sent_at":"2026-10-05T05:52:21.887857+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-csv","trial_id":"d52a9deb70a337d757bd734fa5ba34844c5df1caa1f8a5d0de6e11d5769fec38","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":722,"output_tokens":210,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"import csv\nimport io\nimport re\nfrom collections import defaultdict\n\ndef solve(data):\n    f = io.StringIO(data)\n    reader = csv.reader(f)\n    cents_pattern = re.compile(r'^[+-]?[0-9]+$')\n    totals = defaultdict(int)\n    header_seen = False\n    for row in reader:\n        if not row:\n            continue\n        if not header_seen:\n            if row == ['customer', 'cents']:\n                header_seen = True\n            continue\n        if len(row) != 2:\n            continue\n        cust, cents_raw = row\n        if not cust.strip():\n            continue\n        cents_str = cents_raw.strip()\n        if not cents_pattern.fullmatch(cents_str):\n            continue\n        totals[cust] += int(cents_str)\n    return dict(totals)","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.010111,"finished_at":"2026-10-05T05:42:44.112924+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"514825fdf0f8f010cccd775b5916d114475bd2f64f5caaee4068d62ffafebf03","latency_seconds":9.999227,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is CSV text with header customer,cents, including quoted fields. Treat a customer containing only whitespace as blank. Trim surrounding whitespace from cents, then accept only an optional ASCII + or - followed by one or more ASCII digits 0-9. Ignore blank customers and invalid cents. Sum by customer and return a dictionary, including zero totals. Preserve customer spelling. CSV quoting is valid and the header is exactly customer,cents. Ignore rows missing either field or containing extra fields. Ignore empty lines. Whitespace means Python str.strip() whitespace. No dictionary key order is required.","raw_response_hash":"504712a08b713af913ab1e67ee42c0fb9179751a3d94031487346d9c04715d28","repetition":1,"request_hash":"c08e0d8de1c4a900f080295db758565f98d66f4688dd6fdc34fc0e444b3f33c0","request_id":null,"sent_at":"2026-10-05T05:42:34.113697+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-csv","trial_id":"08bd7e5c671bedb0107b8fb40f5bc8db7f1876e0a9267ab5b8279ddfb92ad321","usage":{"candidatesTokenCount":205,"promptTokenCount":456,"promptTokensDetails":[{"modality":"TEXT","tokenCount":456}],"serviceTier":"standard","thoughtsTokenCount":2400,"totalTokenCount":3061}},{"answer":"import csv\nimport io\nimport re\n\ndef solve(data):\n    cents_pattern = re.compile(r'^[+-]?[0-9]+$')\n    f = io.StringIO(data)\n    reader = csv.reader(f)\n    header_found = False\n    totals = {}\n    for row in reader:\n        if not row:\n            continue\n        if not header_found:\n            if row == ['customer', 'cents']:\n                header_found = True\n            continue\n        if len(row) != 2:\n            continue\n        customer, cents = row\n        if not customer.strip():\n            continue\n        cents_trimmed = cents.strip()\n        if not cents_pattern.fullmatch(cents_trimmed):\n            continue\n        val = int(cents_trimmed)\n        totals[customer] = totals.get(customer, 0) + val\n    return totals","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.007344,"finished_at":"2026-10-05T05:49:11.842179+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"514825fdf0f8f010cccd775b5916d114475bd2f64f5caaee4068d62ffafebf03","latency_seconds":7.496889,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is CSV text with header customer,cents, including quoted fields. Treat a customer containing only whitespace as blank. Trim surrounding whitespace from cents, then accept only an optional ASCII + or - followed by one or more ASCII digits 0-9. Ignore blank customers and invalid cents. Sum by customer and return a dictionary, including zero totals. Preserve customer spelling. CSV quoting is valid and the header is exactly customer,cents. Ignore rows missing either field or containing extra fields. Ignore empty lines. Whitespace means Python str.strip() whitespace. No dictionary key order is required.","raw_response_hash":"708ec57d7f969723ddd3a249b4d49b06b323817a046af7d61578d7666958c6fb","repetition":2,"request_hash":"c08e0d8de1c4a900f080295db758565f98d66f4688dd6fdc34fc0e444b3f33c0","request_id":null,"sent_at":"2026-10-05T05:49:04.345290+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-csv","trial_id":"91091c9e76d30bf5f8cc9384f21c41a3de4f564f666eedcf8b7a644c8018ebf9","usage":{"candidatesTokenCount":205,"promptTokenCount":456,"promptTokensDetails":[{"modality":"TEXT","tokenCount":456}],"serviceTier":"standard","thoughtsTokenCount":1662,"totalTokenCount":2323}},{"answer":"import csv\nimport io\nimport re\n\ndef solve(data):\n    pattern = re.compile(r'[+-]?[0-9]+')\n    totals = {}\n    header_seen = False\n\n    for row in csv.reader(io.StringIO(data)):\n        if not header_seen:\n            if row == ['customer', 'cents']:\n                header_seen = True\n            continue\n        if len(row) != 2:\n            continue\n        customer, cents = row\n        if not customer.strip():\n            continue\n        cents_trimmed = cents.strip()\n        if not pattern.fullmatch(cents_trimmed):\n            continue\n        val = int(cents_trimmed)\n        totals[customer] = totals.get(customer, 0) + val\n\n    return totals","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.013437,"finished_at":"2026-10-05T05:52:18.630084+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"514825fdf0f8f010cccd775b5916d114475bd2f64f5caaee4068d62ffafebf03","latency_seconds":13.780256,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is CSV text with header customer,cents, including quoted fields. Treat a customer containing only whitespace as blank. Trim surrounding whitespace from cents, then accept only an optional ASCII + or - followed by one or more ASCII digits 0-9. Ignore blank customers and invalid cents. Sum by customer and return a dictionary, including zero totals. Preserve customer spelling. CSV quoting is valid and the header is exactly customer,cents. Ignore rows missing either field or containing extra fields. Ignore empty lines. Whitespace means Python str.strip() whitespace. No dictionary key order is required.","raw_response_hash":"4e83124db288aa5be60a0cf11343edf8a58f833fd1a274f9e1fbbf8e5161d624","repetition":3,"request_hash":"c08e0d8de1c4a900f080295db758565f98d66f4688dd6fdc34fc0e444b3f33c0","request_id":null,"sent_at":"2026-10-05T05:52:04.849828+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-csv","trial_id":"20c8d101c76bab023a54bba189b04fc41bc6f6bfbdcd1508adccded7d0ce88aa","usage":{"candidatesTokenCount":178,"promptTokenCount":456,"promptTokensDetails":[{"modality":"TEXT","tokenCount":456}],"serviceTier":"standard","thoughtsTokenCount":3314,"totalTokenCount":3948}},{"answer":"import csv\nimport io\nimport re\n\ndef solve(data):\n    rows = csv.reader(io.StringIO(data))\n    next(rows, None)\n    totals = {}\n    for row in rows:\n        if len(row) != 2:\n            continue\n        customer, cents = row\n        if not customer.strip():\n            continue\n        cents = cents.strip()\n        if re.fullmatch(r\"[+-]?[0-9]+\", cents) is None:\n            continue\n        totals[customer] = totals.get(customer, 0) + int(cents)\n    return totals","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002732,"finished_at":"2026-10-05T05:42:31.741334+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"514825fdf0f8f010cccd775b5916d114475bd2f64f5caaee4068d62ffafebf03","latency_seconds":4.818504,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is CSV text with header customer,cents, including quoted fields. Treat a customer containing only whitespace as blank. Trim surrounding whitespace from cents, then accept only an optional ASCII + or - followed by one or more ASCII digits 0-9. Ignore blank customers and invalid cents. Sum by customer and return a dictionary, including zero totals. Preserve customer spelling. CSV quoting is valid and the header is exactly customer,cents. Ignore rows missing either field or containing extra fields. Ignore empty lines. Whitespace means Python str.strip() whitespace. No dictionary key order is required.","raw_response_hash":"e3284f1d9a0d4c70ce283a063cf59ebc10e24dc9ad889a4c7aef30b06e5c4c05","repetition":1,"request_hash":"65d62e0e4b393e4b632b16104764208a86de7d3c5ad1c600aba1ab7ca25468e3","request_id":"req_5caed2c2b73845b2a8c52080d3911c0d","sent_at":"2026-10-05T05:42:26.922830+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-csv","trial_id":"96d72c20501e472e532337bf66d3fb6eb596e20ef118d70c55e174ce879c76b3","usage":{"input_tokens":456,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":182,"output_tokens_details":{"reasoning_tokens":59},"total_tokens":638}},{"answer":"import csv\nimport io\nimport re\n\ndef solve(data):\n    totals = {}\n    pattern = re.compile(r\"[+-]?[0-9]+\")\n    rows = csv.reader(io.StringIO(data))\n    next(rows, None)\n    for row in rows:\n        if len(row) != 2:\n            continue\n        customer, cents = row\n        if not customer.strip():\n            continue\n        cents = cents.strip()\n        if pattern.fullmatch(cents) is None:\n            continue\n        totals[customer] = totals.get(customer, 0) + int(cents)\n    return totals","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002182,"finished_at":"2026-10-05T05:49:14.818536+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"514825fdf0f8f010cccd775b5916d114475bd2f64f5caaee4068d62ffafebf03","latency_seconds":2.90047,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is CSV text with header customer,cents, including quoted fields. Treat a customer containing only whitespace as blank. Trim surrounding whitespace from cents, then accept only an optional ASCII + or - followed by one or more ASCII digits 0-9. Ignore blank customers and invalid cents. Sum by customer and return a dictionary, including zero totals. Preserve customer spelling. CSV quoting is valid and the header is exactly customer,cents. Ignore rows missing either field or containing extra fields. Ignore empty lines. Whitespace means Python str.strip() whitespace. No dictionary key order is required.","raw_response_hash":"f47afffd99657df19718468f4646d9bc8e1d530ea8afdbcc7217911afcab3a81","repetition":2,"request_hash":"65d62e0e4b393e4b632b16104764208a86de7d3c5ad1c600aba1ab7ca25468e3","request_id":"req_3d94177f7dfa48419867fa612095398b","sent_at":"2026-10-05T05:49:11.918066+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-csv","trial_id":"2848d0649e0a57b41d706fd594398166a58f4945530242f84bf294b08af3782d","usage":{"input_tokens":456,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":127,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":583}},{"answer":"import csv\nimport io\nimport re\n\ndef solve(data):\n    totals = {}\n    pattern = re.compile(r\"[+-]?[0-9]+\")\n    rows = csv.reader(io.StringIO(data))\n    next(rows, None)\n    for row in rows:\n        if len(row) != 2:\n            continue\n        customer, cents = row\n        if not customer.strip():\n            continue\n        cents = cents.strip()\n        if pattern.fullmatch(cents) is None:\n            continue\n        totals[customer] = totals.get(customer, 0) + int(cents)\n    return totals","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002182,"finished_at":"2026-10-05T05:52:21.807149+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"514825fdf0f8f010cccd775b5916d114475bd2f64f5caaee4068d62ffafebf03","latency_seconds":3.118721,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is CSV text with header customer,cents, including quoted fields. Treat a customer containing only whitespace as blank. Trim surrounding whitespace from cents, then accept only an optional ASCII + or - followed by one or more ASCII digits 0-9. Ignore blank customers and invalid cents. Sum by customer and return a dictionary, including zero totals. Preserve customer spelling. CSV quoting is valid and the header is exactly customer,cents. Ignore rows missing either field or containing extra fields. Ignore empty lines. Whitespace means Python str.strip() whitespace. No dictionary key order is required.","raw_response_hash":"aefa984e1874321eff6f3709eaa0ae1924f1c615466331b89d30f6e9a0bb6b3f","repetition":3,"request_hash":"65d62e0e4b393e4b632b16104764208a86de7d3c5ad1c600aba1ab7ca25468e3","request_id":"req_ae8c2346d43a45008be6e19917432e1d","sent_at":"2026-10-05T05:52:18.688428+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-csv","trial_id":"ce9f1afc62384f41f8106b48473eaeec24871cc83db8e628c9571f99c5a07f06","usage":{"input_tokens":456,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":127,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":583}},{"answer":"def solve(data):\n    best = {}\n    for item in data:\n        k = item[\"id\"]\n        if k not in best or item[\"version\"] >= best[k][\"version\"]:\n            best[k] = item\n    return [best[k] for k in sorted(best)]","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.00201,"finished_at":"2026-10-05T05:42:05.825140+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"8e2989420ce8c0c1ec828ca1b96988dc8f579529013af062454476199c3f3614","latency_seconds":1.886283,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a list of {id, version, value}. Keep the highest version for each id; on equal version keep the last occurrence. Return the retained objects sorted lexicographically by id. Do not mutate the input. IDs are strings, versions are integers, and values are arbitrary JSON.","raw_response_hash":"ad0e546a018bda5ba8451699c4bbef6342e3902071e84d1d52a58751a4f9f95f","repetition":1,"request_hash":"f795442c94a7b8068db575cef03f68be48d1304b026e13dbc43d32e0fc4ca298","request_id":"req_011CfiZChqDVMfCqeLHuYW6r","sent_at":"2026-10-05T05:42:03.938857+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-dedup","trial_id":"16bcd4b50aeddb325793cd22a6dbace997a0a532eb19bccbd494ffdbe680a173","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":605,"output_tokens":80,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"def solve(data):\n    best = {}\n    for item in data:\n        k = item[\"id\"]\n        if k not in best or item[\"version\"] >= best[k][\"version\"]:\n            best[k] = item\n    return [best[k] for k in sorted(best)]","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.00201,"finished_at":"2026-10-05T05:49:59.679736+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"8e2989420ce8c0c1ec828ca1b96988dc8f579529013af062454476199c3f3614","latency_seconds":1.474067,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a list of {id, version, value}. Keep the highest version for each id; on equal version keep the last occurrence. Return the retained objects sorted lexicographically by id. Do not mutate the input. IDs are strings, versions are integers, and values are arbitrary JSON.","raw_response_hash":"d867fc5579d495be4a769ba617ebb3a9f1e76df42c6e204a8f2324e3e76bf1d4","repetition":2,"request_hash":"f795442c94a7b8068db575cef03f68be48d1304b026e13dbc43d32e0fc4ca298","request_id":"req_011CfiZofTpwHmJrzvQLc66t","sent_at":"2026-10-05T05:49:58.205669+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-dedup","trial_id":"5906469f0caee74393c0933c3bfce25c3ddedfeca4e57f3e06c92e77ad54ad78","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":605,"output_tokens":80,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"def solve(data):\n    best = {}\n    for item in data:\n        k = item[\"id\"]\n        if k not in best or item[\"version\"] >= best[k][\"version\"]:\n            best[k] = item\n    return [best[k] for k in sorted(best)]","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.00201,"finished_at":"2026-10-05T05:53:09.357230+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"8e2989420ce8c0c1ec828ca1b96988dc8f579529013af062454476199c3f3614","latency_seconds":2.028266,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a list of {id, version, value}. Keep the highest version for each id; on equal version keep the last occurrence. Return the retained objects sorted lexicographically by id. Do not mutate the input. IDs are strings, versions are integers, and values are arbitrary JSON.","raw_response_hash":"0284cd11e80dfe02491fc543c78095cf00532cf323dc17118ee82839dbad9955","repetition":3,"request_hash":"f795442c94a7b8068db575cef03f68be48d1304b026e13dbc43d32e0fc4ca298","request_id":"req_011Cfia3cuvc21tKe29HA1PT","sent_at":"2026-10-05T05:53:07.328964+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-dedup","trial_id":"6bcf6ce43f91aa8735ee581d6680927cd3f832ac3ec996c897cc1ebc07b0756e","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":605,"output_tokens":80,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"def solve(data):\n    best = {}\n    for item in data:\n        item_id = item['id']\n        ver = item['version']\n        if item_id not in best or ver >= best[item_id]['version']:\n            best[item_id] = item\n    return [best[k] for k in sorted(best)]","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.008754,"finished_at":"2026-10-05T05:42:15.020643+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"8e2989420ce8c0c1ec828ca1b96988dc8f579529013af062454476199c3f3614","latency_seconds":9.126886,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a list of {id, version, value}. Keep the highest version for each id; on equal version keep the last occurrence. Return the retained objects sorted lexicographically by id. Do not mutate the input. IDs are strings, versions are integers, and values are arbitrary JSON.","raw_response_hash":"453f95eb457ac4502c451278534d9b9d84e57c55feeaa8d6d480302dafcc6cc8","repetition":1,"request_hash":"de0be91c84f9055bb763e44465632b699f294bd2a8be386bde99666f2b40fbb0","request_id":null,"sent_at":"2026-10-05T05:42:05.893757+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-dedup","trial_id":"a299463329df35cce24fbfabeeff310c23ec8e7c33f8d66dbf4850ba613c92a7","usage":{"candidatesTokenCount":80,"promptTokenCount":397,"promptTokensDetails":[{"modality":"TEXT","tokenCount":397}],"serviceTier":"standard","thoughtsTokenCount":2175,"totalTokenCount":2652}},{"answer":"def solve(data):\n    best = {}\n    for item in data:\n        item_id = item['id']\n        item_ver = item['version']\n        if item_id not in best or item_ver >= best[item_id][0]:\n            best[item_id] = (item_ver, item)\n    return [best[k][1] for k in sorted(best.keys())]","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.005049,"finished_at":"2026-10-05T05:50:04.844746+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"8e2989420ce8c0c1ec828ca1b96988dc8f579529013af062454476199c3f3614","latency_seconds":5.103198,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a list of {id, version, value}. Keep the highest version for each id; on equal version keep the last occurrence. Return the retained objects sorted lexicographically by id. Do not mutate the input. IDs are strings, versions are integers, and values are arbitrary JSON.","raw_response_hash":"81b7db0d8ff3625c6f7fc843a990ddad84b670ca227e870daef7b535069311b3","repetition":2,"request_hash":"de0be91c84f9055bb763e44465632b699f294bd2a8be386bde99666f2b40fbb0","request_id":null,"sent_at":"2026-10-05T05:49:59.741548+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-dedup","trial_id":"4b53bdb3c8db08901ec68d577c737f9993a12f06f1446db88fb3f3121bab32d6","usage":{"candidatesTokenCount":95,"promptTokenCount":397,"promptTokensDetails":[{"modality":"TEXT","tokenCount":397}],"serviceTier":"standard","thoughtsTokenCount":1172,"totalTokenCount":1664}},{"answer":"def solve(data):\n    best = {}\n    for item in data:\n        item_id = item['id']\n        version = item['version']\n        if item_id not in best or version >= best[item_id]['version']:\n            best[item_id] = item\n    return [dict(best[k]) for k in sorted(best.keys())]","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.004074,"finished_at":"2026-10-05T05:53:03.956244+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"8e2989420ce8c0c1ec828ca1b96988dc8f579529013af062454476199c3f3614","latency_seconds":4.226244,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a list of {id, version, value}. Keep the highest version for each id; on equal version keep the last occurrence. Return the retained objects sorted lexicographically by id. Do not mutate the input. IDs are strings, versions are integers, and values are arbitrary JSON.","raw_response_hash":"494da414924a085e0ff62efbac5ed678fe4cefe30262bfb0b66826c89a8650ed","repetition":3,"request_hash":"de0be91c84f9055bb763e44465632b699f294bd2a8be386bde99666f2b40fbb0","request_id":null,"sent_at":"2026-10-05T05:52:59.730000+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-dedup","trial_id":"96ea2f0414765cec44bec707ca485c85e998bfbc48673047bfdbc2257bab8b1f","usage":{"candidatesTokenCount":85,"promptTokenCount":397,"promptTokensDetails":[{"modality":"TEXT","tokenCount":397}],"serviceTier":"standard","thoughtsTokenCount":922,"totalTokenCount":1404}},{"answer":"def solve(data):\n    retained = {}\n    for item in data:\n        key = item[\"id\"]\n        if key not in retained or item[\"version\"] >= retained[key][\"version\"]:\n            retained[key] = item\n    return [dict(retained[key]) for key in sorted(retained)]","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.001438,"finished_at":"2026-10-05T05:42:03.851012+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"8e2989420ce8c0c1ec828ca1b96988dc8f579529013af062454476199c3f3614","latency_seconds":2.252999,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a list of {id, version, value}. Keep the highest version for each id; on equal version keep the last occurrence. Return the retained objects sorted lexicographically by id. Do not mutate the input. IDs are strings, versions are integers, and values are arbitrary JSON.","raw_response_hash":"7f7cc9754f691c776533b7dcb9f8f89a73ff900bb5dffcade44fef3fae45c429","repetition":1,"request_hash":"339749aed7de2a82a71ba8c81e324c97a22a069cc8b962122fa8474a6a4f0c9f","request_id":"req_38039d45a22d4f2eb4a3db6312d7f9f2","sent_at":"2026-10-05T05:42:01.598013+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-dedup","trial_id":"b589b24dcd646e80717fd6bad7c166464a27c41d1cf61ce416adda06b6f27fec","usage":{"input_tokens":399,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":64,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":463}},{"answer":"def solve(data):\n    retained = {}\n    for item in data:\n        item_id = item[\"id\"]\n        if item_id not in retained or item[\"version\"] >= retained[item_id][\"version\"]:\n            retained[item_id] = item\n    return [retained[item_id] for item_id in sorted(retained)]\n","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.001488,"finished_at":"2026-10-05T05:50:07.358701+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"8e2989420ce8c0c1ec828ca1b96988dc8f579529013af062454476199c3f3614","latency_seconds":2.443909,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a list of {id, version, value}. Keep the highest version for each id; on equal version keep the last occurrence. Return the retained objects sorted lexicographically by id. Do not mutate the input. IDs are strings, versions are integers, and values are arbitrary JSON.","raw_response_hash":"c751b49aa77250cde34cab7b0e5b08dd9ac32d53767267aa5a3303badf9ebe6d","repetition":2,"request_hash":"339749aed7de2a82a71ba8c81e324c97a22a069cc8b962122fa8474a6a4f0c9f","request_id":"req_c884eef38a0440f5a94b301c5beb1e8a","sent_at":"2026-10-05T05:50:04.914792+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-dedup","trial_id":"c371dc3c71d4c06845f5c550789aa1c219e21c0ec46e3fdffa20dabce45680d2","usage":{"input_tokens":399,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":69,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":468}},{"answer":"def solve(data):\n    retained = {}\n    for item in data:\n        identifier = item[\"id\"]\n        if identifier not in retained or item[\"version\"] >= retained[identifier][\"version\"]:\n            retained[identifier] = item\n    return [retained[identifier] for identifier in sorted(retained)]","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.001458,"finished_at":"2026-10-05T05:53:07.263934+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"8e2989420ce8c0c1ec828ca1b96988dc8f579529013af062454476199c3f3614","latency_seconds":3.246924,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a list of {id, version, value}. Keep the highest version for each id; on equal version keep the last occurrence. Return the retained objects sorted lexicographically by id. Do not mutate the input. IDs are strings, versions are integers, and values are arbitrary JSON.","raw_response_hash":"cfcdbab66f0ba11ffc7c5f14f769a27b854419d952c3f6f4a97d047015f9ff0b","repetition":3,"request_hash":"339749aed7de2a82a71ba8c81e324c97a22a069cc8b962122fa8474a6a4f0c9f","request_id":"req_f234aa376dd646ae884dd5f40d46063b","sent_at":"2026-10-05T05:53:04.017010+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-dedup","trial_id":"98495aa11bfd59eaea0781a60da11f8463c66e0b36a7ed1beeb161be5900fd75","usage":{"input_tokens":399,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":66,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":465}},{"answer":"import heapq\n\ndef solve(data):\n    nodes = set()\n    adj = {}\n    indeg = {}\n    for job, prereqs in data.items():\n        nodes.add(job)\n        for p in prereqs:\n            nodes.add(p)\n    for n in nodes:\n        adj[n] = set()\n        indeg[n] = 0\n    for job, prereqs in data.items():\n        for p in set(prereqs):\n            if job not in adj[p]:\n                adj[p].add(job)\n                indeg[job] += 1\n    heap = [n for n in nodes if indeg[n] == 0]\n    heapq.heapify(heap)\n    result = []\n    while heap:\n        n = heapq.heappop(heap)\n        result.append(n)\n        for m in adj[n]:\n            indeg[m] -= 1\n            if indeg[m] == 0:\n                heapq.heappush(heap, m)\n    if len(result) != len(nodes):\n        return None\n    return result","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.00448,"finished_at":"2026-10-05T05:44:26.687315+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true},{"case":7,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"c0acf4d01cd36ae5228ff629d4d1a0661d4393234a46bc808188ce5bf1e01f56","latency_seconds":2.369216,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a dict mapping each named job to prerequisite names. Include names referenced only as prerequisites. Return the lexicographically smallest valid topological order, choosing the smallest ready name at every step. Return null for any cycle. Job and prerequisite names are strings; prerequisites are lists. Repeated names in a prerequisite list denote the same dependency. Referenced-only names have no prerequisites. A self-dependency is a cycle. Return Python None for a cycle.","raw_response_hash":"ed3bc79e981701545a6d01f8f1d021ea726b2b0c62cc8cc2486f8b82de13af8c","repetition":1,"request_hash":"fa9fd94f8c59b08e6ba45ac99be209b07f6debed3b12b15c0bac99477350e417","request_id":"req_011CfiZP3yx8MeaJCTLyUK7y","sent_at":"2026-10-05T05:44:24.318099+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-dependencies","trial_id":"dfa00dd51d209c0073fda7feaa7bd04c35ea3850dfc7bcf07e43a31c8b2b58eb","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":670,"output_tokens":314,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"import heapq\n\ndef solve(data):\n    nodes = set()\n    for job, prereqs in data.items():\n        nodes.add(job)\n        for p in prereqs:\n            nodes.add(p)\n    indeg = {n: 0 for n in nodes}\n    adj = {n: set() for n in nodes}\n    for job, prereqs in data.items():\n        for p in set(prereqs):\n            adj[p].add(job)\n            indeg[job] += 1\n    heap = [n for n in nodes if indeg[n] == 0]\n    heapq.heapify(heap)\n    result = []\n    while heap:\n        n = heapq.heappop(heap)\n        result.append(n)\n        for m in adj[n]:\n            indeg[m] -= 1\n            if indeg[m] == 0:\n                heapq.heappush(heap, m)\n    if len(result) != len(nodes):\n        return None\n    return result","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.00427,"finished_at":"2026-10-05T05:48:33.933623+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true},{"case":7,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"c0acf4d01cd36ae5228ff629d4d1a0661d4393234a46bc808188ce5bf1e01f56","latency_seconds":2.375912,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a dict mapping each named job to prerequisite names. Include names referenced only as prerequisites. Return the lexicographically smallest valid topological order, choosing the smallest ready name at every step. Return null for any cycle. Job and prerequisite names are strings; prerequisites are lists. Repeated names in a prerequisite list denote the same dependency. Referenced-only names have no prerequisites. A self-dependency is a cycle. Return Python None for a cycle.","raw_response_hash":"852e58a77d9ad5d146883fe54027a7874be2a09138407554c87b4e99647062df","repetition":2,"request_hash":"fa9fd94f8c59b08e6ba45ac99be209b07f6debed3b12b15c0bac99477350e417","request_id":"req_011CfiZhH7jnkzQfmkkmRz2k","sent_at":"2026-10-05T05:48:31.557711+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-dependencies","trial_id":"ddbe717526138a504e3da285729bab7df2f3b7682653b036dfd159cb6f791932","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":670,"output_tokens":293,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"import heapq\n\ndef solve(data):\n    nodes = set()\n    edges = {}\n    for job, prereqs in data.items():\n        nodes.add(job)\n        for p in prereqs:\n            nodes.add(p)\n    indeg = {n: 0 for n in nodes}\n    children = {n: set() for n in nodes}\n    for job, prereqs in data.items():\n        for p in set(prereqs):\n            children[p].add(job)\n            indeg[job] += 1\n    heap = [n for n in nodes if indeg[n] == 0]\n    heapq.heapify(heap)\n    result = []\n    while heap:\n        n = heapq.heappop(heap)\n        result.append(n)\n        for c in children[n]:\n            indeg[c] -= 1\n            if indeg[c] == 0:\n                heapq.heappush(heap, c)\n    if len(result) != len(nodes):\n        return None\n    return result","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.00431,"finished_at":"2026-10-05T05:53:53.637534+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true},{"case":7,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"c0acf4d01cd36ae5228ff629d4d1a0661d4393234a46bc808188ce5bf1e01f56","latency_seconds":2.588981,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a dict mapping each named job to prerequisite names. Include names referenced only as prerequisites. Return the lexicographically smallest valid topological order, choosing the smallest ready name at every step. Return null for any cycle. Job and prerequisite names are strings; prerequisites are lists. Repeated names in a prerequisite list denote the same dependency. Referenced-only names have no prerequisites. A self-dependency is a cycle. Return Python None for a cycle.","raw_response_hash":"508301f375bba0eb2050fa4d996e1a05d460764bd6b5d7e72c936b6a7ab06ede","repetition":3,"request_hash":"fa9fd94f8c59b08e6ba45ac99be209b07f6debed3b12b15c0bac99477350e417","request_id":"req_011Cfia6qFR1cHF7aUDLRjGX","sent_at":"2026-10-05T05:53:51.048553+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-dependencies","trial_id":"2b6e31f62d0e70c707a27227d4739e07ff0b29c95b70f0c86fa05eec301fc310","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":670,"output_tokens":297,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"import heapq\nfrom collections import defaultdict\n\ndef solve(data):\n    all_nodes = set(data.keys())\n    for prereqs in data.values():\n        all_nodes.update(prereqs)\n    \n    in_degree = {node: 0 for node in all_nodes}\n    adj = defaultdict(list)\n    \n    for job, prereqs in data.items():\n        unique_prereqs = set(prereqs)\n        in_degree[job] = len(unique_prereqs)\n        for p in unique_prereqs:\n            adj[p].append(job)\n            \n    heap = [node for node, deg in in_degree.items() if deg == 0]\n    heapq.heapify(heap)\n    \n    order = []\n    while heap:\n        u = heapq.heappop(heap)\n        order.append(u)\n        for v in adj[u]:\n            in_degree[v] -= 1\n            if in_degree[v] == 0:\n                heapq.heappush(heap, v)\n                \n    if len(order) == len(all_nodes):\n        return order\n    return None","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.004382,"finished_at":"2026-10-05T05:44:33.119667+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true},{"case":7,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"c0acf4d01cd36ae5228ff629d4d1a0661d4393234a46bc808188ce5bf1e01f56","latency_seconds":6.377828,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a dict mapping each named job to prerequisite names. Include names referenced only as prerequisites. Return the lexicographically smallest valid topological order, choosing the smallest ready name at every step. Return null for any cycle. Job and prerequisite names are strings; prerequisites are lists. Repeated names in a prerequisite list denote the same dependency. Referenced-only names have no prerequisites. A self-dependency is a cycle. Return Python None for a cycle.","raw_response_hash":"a3c9b0bb975a3c0b969bf532a79ddcf164d8d3e1caf1c9737c203946f1263a83","repetition":1,"request_hash":"28bb55d2819b601ce8acef6e57fdb5b7691c0657a7d064ee2ad527c370d64b6d","request_id":null,"sent_at":"2026-10-05T05:44:26.741839+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-dependencies","trial_id":"dd1dc5e8b2962b1bccb620ff34e75a80a0ca0432aa13262f09629935711b0e9a","usage":{"candidatesTokenCount":277,"promptTokenCount":427,"promptTokensDetails":[{"modality":"TEXT","tokenCount":427}],"serviceTier":"standard","thoughtsTokenCount":806,"totalTokenCount":1510}},{"answer":"from collections import defaultdict\nfrom heapq import heappop, heappush, heapify\n\ndef solve(data):\n    all_nodes = set(data.keys())\n    for prereqs in data.values():\n        all_nodes.update(prereqs)\n    \n    in_degree = {node: 0 for node in all_nodes}\n    adj = defaultdict(list)\n    \n    for node, prereqs in data.items():\n        unique_prereqs = set(prereqs)\n        in_degree[node] = len(unique_prereqs)\n        for p in unique_prereqs:\n            adj[p].append(node)\n            \n    heap = [node for node, deg in in_degree.items() if deg == 0]\n    heapify(heap)\n    \n    result = []\n    while heap:\n        curr = heappop(heap)\n        result.append(curr)\n        for neighbor in adj[curr]:\n            in_degree[neighbor] -= 1\n            if in_degree[neighbor] == 0:\n                heappush(heap, neighbor)\n                \n    if len(result) == len(all_nodes):\n        return result\n    return None","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.006039,"finished_at":"2026-10-05T05:48:40.306451+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true},{"case":7,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"c0acf4d01cd36ae5228ff629d4d1a0661d4393234a46bc808188ce5bf1e01f56","latency_seconds":6.310311,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a dict mapping each named job to prerequisite names. Include names referenced only as prerequisites. Return the lexicographically smallest valid topological order, choosing the smallest ready name at every step. Return null for any cycle. Job and prerequisite names are strings; prerequisites are lists. Repeated names in a prerequisite list denote the same dependency. Referenced-only names have no prerequisites. A self-dependency is a cycle. Return Python None for a cycle.","raw_response_hash":"3aba05f4a1f11ee059e012b3507fb4f8c018fa1483cb24f77b72ec1aac112465","repetition":2,"request_hash":"28bb55d2819b601ce8acef6e57fdb5b7691c0657a7d064ee2ad527c370d64b6d","request_id":null,"sent_at":"2026-10-05T05:48:33.996140+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-dependencies","trial_id":"b9d1d27cf1b3d1325f51a4bd09d59b7929620d53dbcd30e48ad45465967cb638","usage":{"candidatesTokenCount":281,"promptTokenCount":427,"promptTokensDetails":[{"modality":"TEXT","tokenCount":427}],"serviceTier":"standard","thoughtsTokenCount":1244,"totalTokenCount":1952}},{"answer":"import heapq\n\ndef solve(data):\n    all_nodes = set(data.keys())\n    for prereqs in data.values():\n        all_nodes.update(prereqs)\n\n    adj = {node: [] for node in all_nodes}\n    in_degree = {}\n\n    for job in all_nodes:\n        prereqs = set(data.get(job, []))\n        in_degree[job] = len(prereqs)\n        for p in prereqs:\n            adj[p].append(job)\n\n    heap = [node for node, deg in in_degree.items() if deg == 0]\n    heapq.heapify(heap)\n\n    result = []\n    while heap:\n        curr = heapq.heappop(heap)\n        result.append(curr)\n        for nxt in adj[curr]:\n            in_degree[nxt] -= 1\n            if in_degree[nxt] == 0:\n                heapq.heappush(heap, nxt)\n\n    if len(result) == len(all_nodes):\n        return result\n    return None","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.007697,"finished_at":"2026-10-05T05:53:47.477761+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true},{"case":7,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"c0acf4d01cd36ae5228ff629d4d1a0661d4393234a46bc808188ce5bf1e01f56","latency_seconds":7.314662,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a dict mapping each named job to prerequisite names. Include names referenced only as prerequisites. Return the lexicographically smallest valid topological order, choosing the smallest ready name at every step. Return null for any cycle. Job and prerequisite names are strings; prerequisites are lists. Repeated names in a prerequisite list denote the same dependency. Referenced-only names have no prerequisites. A self-dependency is a cycle. Return Python None for a cycle.","raw_response_hash":"d484ff523a117011a89dcb8705fa13ae3c2b8a280ee057cb093e6c1e7d8e25c9","repetition":3,"request_hash":"28bb55d2819b601ce8acef6e57fdb5b7691c0657a7d064ee2ad527c370d64b6d","request_id":null,"sent_at":"2026-10-05T05:53:40.163099+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-dependencies","trial_id":"b155a7385ebb3ecdd25dd8a2970223695d6e8b46d84a22c7cc6acc080aadb30f","usage":{"candidatesTokenCount":255,"promptTokenCount":427,"promptTokensDetails":[{"modality":"TEXT","tokenCount":427}],"serviceTier":"standard","thoughtsTokenCount":1712,"totalTokenCount":2394}},{"answer":"import heapq\n\ndef solve(data):\n    names = set(data)\n    for prerequisites in data.values():\n        names.update(prerequisites)\n\n    dependents = {name: [] for name in names}\n    indegree = {name: 0 for name in names}\n\n    for job, prerequisites in data.items():\n        unique_prerequisites = set(prerequisites)\n        indegree[job] = len(unique_prerequisites)\n        for prerequisite in unique_prerequisites:\n            dependents[prerequisite].append(job)\n\n    ready = [name for name in names if indegree[name] == 0]\n    heapq.heapify(ready)\n    order = []\n\n    while ready:\n        job = heapq.heappop(ready)\n        order.append(job)\n        for dependent in dependents[job]:\n            indegree[dependent] -= 1\n            if indegree[dependent] == 0:\n                heapq.heappush(ready, dependent)\n\n    return order if len(order) == len(names) else None","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.003022,"finished_at":"2026-10-05T05:44:24.231407+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true},{"case":7,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"c0acf4d01cd36ae5228ff629d4d1a0661d4393234a46bc808188ce5bf1e01f56","latency_seconds":3.965172,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a dict mapping each named job to prerequisite names. Include names referenced only as prerequisites. Return the lexicographically smallest valid topological order, choosing the smallest ready name at every step. Return null for any cycle. Job and prerequisite names are strings; prerequisites are lists. Repeated names in a prerequisite list denote the same dependency. Referenced-only names have no prerequisites. A self-dependency is a cycle. Return Python None for a cycle.","raw_response_hash":"fec7c8d3cf0e4ffa48ea66ced5385d480f50c8b265e297cade2bf8ab9ef80d13","repetition":1,"request_hash":"04abbe93fcc3970c7fac774ccd184ee901591ab5a7e4ebe03ab4a7fbd28a6850","request_id":"req_c58041fcf31f4231943640c6aaf78bd7","sent_at":"2026-10-05T05:44:20.266235+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-dependencies","trial_id":"9c7c896ebb7bc479b950b734c36fdd6f67d2b04e3df0ece0f844ebf7211a42fe","usage":{"input_tokens":431,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":216,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":647}},{"answer":"import heapq\n\ndef solve(data):\n    names = set(data)\n    for prerequisites in data.values():\n        names.update(prerequisites)\n\n    indegree = {name: 0 for name in names}\n    dependents = {name: [] for name in names}\n\n    for job, prerequisites in data.items():\n        unique = set(prerequisites)\n        indegree[job] = len(unique)\n        for prerequisite in unique:\n            dependents[prerequisite].append(job)\n\n    ready = [name for name in names if indegree[name] == 0]\n    heapq.heapify(ready)\n    order = []\n\n    while ready:\n        name = heapq.heappop(ready)\n        order.append(name)\n        for job in dependents[name]:\n            indegree[job] -= 1\n            if indegree[job] == 0:\n                heapq.heappush(ready, job)\n\n    return order if len(order) == len(names) else None","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002922,"finished_at":"2026-10-05T05:48:44.253053+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true},{"case":7,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"c0acf4d01cd36ae5228ff629d4d1a0661d4393234a46bc808188ce5bf1e01f56","latency_seconds":3.891196,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a dict mapping each named job to prerequisite names. Include names referenced only as prerequisites. Return the lexicographically smallest valid topological order, choosing the smallest ready name at every step. Return null for any cycle. Job and prerequisite names are strings; prerequisites are lists. Repeated names in a prerequisite list denote the same dependency. Referenced-only names have no prerequisites. A self-dependency is a cycle. Return Python None for a cycle.","raw_response_hash":"3dba27ae86ac9c6c1307dbea1694955bf117f33a210f8e27b53e43e23b9ffcdd","repetition":2,"request_hash":"04abbe93fcc3970c7fac774ccd184ee901591ab5a7e4ebe03ab4a7fbd28a6850","request_id":"req_f180145e5f9f4a08b1987b37984bc50f","sent_at":"2026-10-05T05:48:40.361857+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-dependencies","trial_id":"d9359585663437b515c19ea65196894e55596206983cfc6b20e51318d1e33b4d","usage":{"input_tokens":431,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":206,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":637}},{"answer":"import heapq\n\ndef solve(data):\n    names = set(data)\n    for prerequisites in data.values():\n        names.update(prerequisites)\n\n    indegree = {name: 0 for name in names}\n    dependents = {name: [] for name in names}\n\n    for job, prerequisites in data.items():\n        unique = set(prerequisites)\n        indegree[job] = len(unique)\n        for prerequisite in unique:\n            dependents[prerequisite].append(job)\n\n    ready = [name for name in names if indegree[name] == 0]\n    heapq.heapify(ready)\n    order = []\n\n    while ready:\n        name = heapq.heappop(ready)\n        order.append(name)\n        for job in dependents[name]:\n            indegree[job] -= 1\n            if indegree[job] == 0:\n                heapq.heappush(ready, job)\n\n    return order if len(order) == len(names) else None","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002922,"finished_at":"2026-10-05T05:53:50.974018+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true},{"case":7,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"c0acf4d01cd36ae5228ff629d4d1a0661d4393234a46bc808188ce5bf1e01f56","latency_seconds":3.428101,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a dict mapping each named job to prerequisite names. Include names referenced only as prerequisites. Return the lexicographically smallest valid topological order, choosing the smallest ready name at every step. Return null for any cycle. Job and prerequisite names are strings; prerequisites are lists. Repeated names in a prerequisite list denote the same dependency. Referenced-only names have no prerequisites. A self-dependency is a cycle. Return Python None for a cycle.","raw_response_hash":"4f409ec9b683aacc8b5d2f8799fd0a4a231b2f0ea4fb34c1c50ea1ad60ac87e3","repetition":3,"request_hash":"04abbe93fcc3970c7fac774ccd184ee901591ab5a7e4ebe03ab4a7fbd28a6850","request_id":"req_db46e496eafd422db1a5b4c86b622898","sent_at":"2026-10-05T05:53:47.545917+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-dependencies","trial_id":"fa033e70eb4f2712b332ad2de0069456bbfca9bbb5afcad605ae0bfd73d43321","usage":{"input_tokens":431,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":206,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":637}},{"answer":"def solve(data):\n    lots = data[\"lots\"]\n    sold = data[\"sold\"]\n    need = sold\n    remaining_units = 0\n    remaining_value = 0\n    for lot in lots:\n        q = lot[0]\n        p = lot[1]\n        take = min(q, need)\n        need -= take\n        left = q - take\n        remaining_units += left\n        remaining_value += left * p\n    return {\n        \"remaining_units\": remaining_units,\n        \"remaining_value_cents\": remaining_value,\n        \"unfilled_units\": need,\n    }","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.003026,"finished_at":"2026-10-05T05:45:48.388557+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"78fadaee3ffc5f9a819d5f90dd5f010d5aaa14fdf7bc4e768b2c7bfab55ed8c6","latency_seconds":1.966064,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {lots:[[quantity,unit_cents],...], sold:nonnegative integer}. Sell in lot order. Return {remaining_units,remaining_value_cents,unfilled_units}. All quantities/prices nonnegative; unfilled is sales beyond available inventory. Quantities and unit prices are integers.","raw_response_hash":"3658b2199ad43663ebba61e941fbd3203b25678f976440f98ba11d30ce5aaccd","repetition":1,"request_hash":"1c256f749f94a3d41e6ec5735ca887f61fc865b1b633e05c9e51e0e905d4d75c","request_id":"req_011CfiZV7dQRKgPsrFnThzFB","sent_at":"2026-10-05T05:45:46.422493+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-fifo","trial_id":"d46b853c358c78026c5328f37fed326b2a218a1128fb78ffff658c109f2b69ce","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":623,"output_tokens":178,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"def solve(data):\n    lots = data[\"lots\"]\n    sold = data[\"sold\"]\n    to_sell = sold\n    remaining_units = 0\n    remaining_value = 0\n    for lot in lots:\n        q = lot[0]\n        p = lot[1]\n        take = min(q, to_sell)\n        to_sell -= take\n        left = q - take\n        remaining_units += left\n        remaining_value += left * p\n    return {\n        \"remaining_units\": remaining_units,\n        \"remaining_value_cents\": remaining_value,\n        \"unfilled_units\": to_sell,\n    }","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.003146,"finished_at":"2026-10-05T05:49:26.852881+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"78fadaee3ffc5f9a819d5f90dd5f010d5aaa14fdf7bc4e768b2c7bfab55ed8c6","latency_seconds":2.010491,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {lots:[[quantity,unit_cents],...], sold:nonnegative integer}. Sell in lot order. Return {remaining_units,remaining_value_cents,unfilled_units}. All quantities/prices nonnegative; unfilled is sales beyond available inventory. Quantities and unit prices are integers.","raw_response_hash":"14240b9a5765c903a796223dc6a7d4648b0b069e3ba4068842e1fdb58922f88c","repetition":2,"request_hash":"1c256f749f94a3d41e6ec5735ca887f61fc865b1b633e05c9e51e0e905d4d75c","request_id":"req_011CfiZmCnPu63FeZ1xS3T2N","sent_at":"2026-10-05T05:49:24.842390+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-fifo","trial_id":"a18f46ccebb09c79082adc64c39b8a2ef2266118d7c2e3ab8ef9cdda07868a7f","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":623,"output_tokens":190,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"def solve(data):\n    lots = data[\"lots\"]\n    sold = data[\"sold\"]\n    need = sold\n    units = 0\n    value = 0\n    for q, p in lots:\n        take = min(q, need)\n        need -= take\n        rem = q - take\n        units += rem\n        value += rem * p\n    return {\n        \"remaining_units\": units,\n        \"remaining_value_cents\": value,\n        \"unfilled_units\": need,\n    }","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002646,"finished_at":"2026-10-05T05:50:30.212021+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"78fadaee3ffc5f9a819d5f90dd5f010d5aaa14fdf7bc4e768b2c7bfab55ed8c6","latency_seconds":1.911328,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {lots:[[quantity,unit_cents],...], sold:nonnegative integer}. Sell in lot order. Return {remaining_units,remaining_value_cents,unfilled_units}. All quantities/prices nonnegative; unfilled is sales beyond available inventory. Quantities and unit prices are integers.","raw_response_hash":"e7f6de203be51bbfc06130a789834e26336e505730340c69681fddc5ac92b8ea","repetition":3,"request_hash":"1c256f749f94a3d41e6ec5735ca887f61fc865b1b633e05c9e51e0e905d4d75c","request_id":"req_011CfiZqtD6FsonerGbK9QR8","sent_at":"2026-10-05T05:50:28.300693+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-fifo","trial_id":"319bfc207716b8390a7417cd7205cf102332a158be242bc8e4fee2e8487dc363","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":623,"output_tokens":140,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"def solve(data):\n    lots = data[\"lots\"]\n    current_sold = data[\"sold\"]\n\n    rem_units = 0\n    rem_value = 0\n\n    for lot in lots:\n        qty = lot[0]\n        price = lot[1]\n        take = min(current_sold, qty)\n        current_sold -= take\n        remaining = qty - take\n        rem_units += remaining\n        rem_value += remaining * price\n\n    return {\n        \"remaining_units\": rem_units,\n        \"remaining_value_cents\": rem_value,\n        \"unfilled_units\": current_sold,\n    }","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.004063,"finished_at":"2026-10-05T05:45:52.901468+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"78fadaee3ffc5f9a819d5f90dd5f010d5aaa14fdf7bc4e768b2c7bfab55ed8c6","latency_seconds":4.44329,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {lots:[[quantity,unit_cents],...], sold:nonnegative integer}. Sell in lot order. Return {remaining_units,remaining_value_cents,unfilled_units}. All quantities/prices nonnegative; unfilled is sales beyond available inventory. Quantities and unit prices are integers.","raw_response_hash":"9552a1bbc728b9d3888743fca46a718abff3c85bdead8f8521a29517e778c156","repetition":1,"request_hash":"89edb844fc125ee26e49622c8e2a9fffec35324566efc8f9a60ff84012a10d42","request_id":null,"sent_at":"2026-10-05T05:45:48.458178+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-fifo","trial_id":"4c2238bdc0cdcbdd2357b641e7dadedd1f0f22c3e50e6646b7f9d56a868a1eec","usage":{"candidatesTokenCount":147,"promptTokenCount":402,"promptTokensDetails":[{"modality":"TEXT","tokenCount":402}],"serviceTier":"standard","thoughtsTokenCount":856,"totalTokenCount":1405}},{"answer":"def solve(data):\n    lots = data[\"lots\"]\n    to_sell = data[\"sold\"]\n\n    rem_units = 0\n    rem_value = 0\n\n    for lot in lots:\n        qty = lot[0]\n        price = lot[1]\n        if to_sell > 0:\n            take = min(qty, to_sell)\n            left = qty - take\n            to_sell -= take\n        else:\n            left = qty\n        rem_units += left\n        rem_value += left * price\n\n    return {\n        \"remaining_units\": rem_units,\n        \"remaining_value_cents\": rem_value,\n        \"unfilled_units\": to_sell,\n    }","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.004108,"finished_at":"2026-10-05T05:49:31.044804+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"78fadaee3ffc5f9a819d5f90dd5f010d5aaa14fdf7bc4e768b2c7bfab55ed8c6","latency_seconds":4.122959,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {lots:[[quantity,unit_cents],...], sold:nonnegative integer}. Sell in lot order. Return {remaining_units,remaining_value_cents,unfilled_units}. All quantities/prices nonnegative; unfilled is sales beyond available inventory. Quantities and unit prices are integers.","raw_response_hash":"a9284be695742c01928ccd1f66bb9e5670be94f2c00ee6a81e2ca23279fb4673","repetition":2,"request_hash":"89edb844fc125ee26e49622c8e2a9fffec35324566efc8f9a60ff84012a10d42","request_id":null,"sent_at":"2026-10-05T05:49:26.921845+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-fifo","trial_id":"69ba792471f94333e777537f4f3209f4f3708c86634f72e5324e48d8d5536525","usage":{"candidatesTokenCount":166,"promptTokenCount":402,"promptTokensDetails":[{"modality":"TEXT","tokenCount":402}],"serviceTier":"standard","thoughtsTokenCount":849,"totalTokenCount":1417}},{"answer":"def solve(data):\n    to_sell = data[\"sold\"]\n    remaining_units = 0\n    remaining_value_cents = 0\n    for lot in data[\"lots\"]:\n        qty = lot[0]\n        price = lot[1]\n        take = min(to_sell, qty)\n        rem = qty - take\n        to_sell -= take\n        remaining_units += rem\n        remaining_value_cents += rem * price\n    return {\n        \"remaining_units\": remaining_units,\n        \"remaining_value_cents\": remaining_value_cents,\n        \"unfilled_units\": to_sell,\n    }","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.003448,"finished_at":"2026-10-05T05:50:24.955592+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"78fadaee3ffc5f9a819d5f90dd5f010d5aaa14fdf7bc4e768b2c7bfab55ed8c6","latency_seconds":3.503709,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {lots:[[quantity,unit_cents],...], sold:nonnegative integer}. Sell in lot order. Return {remaining_units,remaining_value_cents,unfilled_units}. All quantities/prices nonnegative; unfilled is sales beyond available inventory. Quantities and unit prices are integers.","raw_response_hash":"d4c758253c0efaa777d0ea31d02d6ed1a55fef43680bc97680e2a9143cef58fe","repetition":3,"request_hash":"89edb844fc125ee26e49622c8e2a9fffec35324566efc8f9a60ff84012a10d42","request_id":null,"sent_at":"2026-10-05T05:50:21.451883+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-fifo","trial_id":"bee27580a80ffe59648c49e16beb8475d09009f21864f381f99169275cd3e269","usage":{"candidatesTokenCount":147,"promptTokenCount":402,"promptTokensDetails":[{"modality":"TEXT","tokenCount":402}],"serviceTier":"standard","thoughtsTokenCount":692,"totalTokenCount":1241}},{"answer":"def solve(data):\n    to_sell = data[\"sold\"]\n    remaining_units = 0\n    remaining_value_cents = 0\n\n    for quantity, unit_cents in data[\"lots\"]:\n        sold_from_lot = min(quantity, to_sell)\n        to_sell -= sold_from_lot\n        remaining = quantity - sold_from_lot\n        remaining_units += remaining\n        remaining_value_cents += remaining * unit_cents\n\n    return {\n        \"remaining_units\": remaining_units,\n        \"remaining_value_cents\": remaining_value_cents,\n        \"unfilled_units\": to_sell\n    }","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002072,"finished_at":"2026-10-05T05:45:46.329348+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"78fadaee3ffc5f9a819d5f90dd5f010d5aaa14fdf7bc4e768b2c7bfab55ed8c6","latency_seconds":2.98637,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {lots:[[quantity,unit_cents],...], sold:nonnegative integer}. Sell in lot order. Return {remaining_units,remaining_value_cents,unfilled_units}. All quantities/prices nonnegative; unfilled is sales beyond available inventory. Quantities and unit prices are integers.","raw_response_hash":"02880cbcbdd4eab11d64698e36b70d423f2c66477fe1b56780ec22a009b23321","repetition":1,"request_hash":"c2c9f148b7e77bede45b26baaf2ddb698bdb448ab39e921394d147098d2a986c","request_id":"req_468a41a0b4df41c3ba85b9f4382f64ae","sent_at":"2026-10-05T05:45:43.342978+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-fifo","trial_id":"7417aacd02c17c0a7b983d1e7d990201b2e54a4dd56013a6399396f8cdeb22bc","usage":{"input_tokens":401,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":127,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":528}},{"answer":"def solve(data):\n    unfilled = data[\"sold\"]\n    remaining_units = 0\n    remaining_value_cents = 0\n\n    for quantity, unit_cents in data[\"lots\"]:\n        consumed = min(quantity, unfilled)\n        unfilled -= consumed\n        remaining = quantity - consumed\n        remaining_units += remaining\n        remaining_value_cents += remaining * unit_cents\n\n    return {\n        \"remaining_units\": remaining_units,\n        \"remaining_value_cents\": remaining_value_cents,\n        \"unfilled_units\": unfilled\n    }","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.001982,"finished_at":"2026-10-05T05:49:34.375916+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"78fadaee3ffc5f9a819d5f90dd5f010d5aaa14fdf7bc4e768b2c7bfab55ed8c6","latency_seconds":3.258984,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {lots:[[quantity,unit_cents],...], sold:nonnegative integer}. Sell in lot order. Return {remaining_units,remaining_value_cents,unfilled_units}. All quantities/prices nonnegative; unfilled is sales beyond available inventory. Quantities and unit prices are integers.","raw_response_hash":"b9356686672cca8243fccd15e9b10b9106444327d2a163211ef1916727055742","repetition":2,"request_hash":"c2c9f148b7e77bede45b26baaf2ddb698bdb448ab39e921394d147098d2a986c","request_id":"req_d94adde21e7d4346b5fe3616631b4a57","sent_at":"2026-10-05T05:49:31.116932+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-fifo","trial_id":"102878be924224af3a06be95d790ac1d54be9e92c3664252de9888593b92db5b","usage":{"input_tokens":401,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":118,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":519}},{"answer":"def solve(data):\n    unsold_demand = data[\"sold\"]\n    remaining_units = 0\n    remaining_value_cents = 0\n\n    for quantity, unit_cents in data[\"lots\"]:\n        sold_from_lot = min(quantity, unsold_demand)\n        unsold_demand -= sold_from_lot\n        remaining = quantity - sold_from_lot\n        remaining_units += remaining\n        remaining_value_cents += remaining * unit_cents\n\n    return {\n        \"remaining_units\": remaining_units,\n        \"remaining_value_cents\": remaining_value_cents,\n        \"unfilled_units\": unsold_demand\n    }","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002152,"finished_at":"2026-10-05T05:50:28.242460+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"78fadaee3ffc5f9a819d5f90dd5f010d5aaa14fdf7bc4e768b2c7bfab55ed8c6","latency_seconds":3.214288,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {lots:[[quantity,unit_cents],...], sold:nonnegative integer}. Sell in lot order. Return {remaining_units,remaining_value_cents,unfilled_units}. All quantities/prices nonnegative; unfilled is sales beyond available inventory. Quantities and unit prices are integers.","raw_response_hash":"bb3e4bb46b40f68820164cebed5551c1e28aff767157a503d7729f6f8dcc9c70","repetition":3,"request_hash":"c2c9f148b7e77bede45b26baaf2ddb698bdb448ab39e921394d147098d2a986c","request_id":"req_4f23a6827d7b4f29a8ee4916d5c5d16d","sent_at":"2026-10-05T05:50:25.028172+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-fifo","trial_id":"c9ccdb79d4782afd2e8edb07d8f67237e77658a16e1983ed8d1a363f79e2b030","usage":{"input_tokens":401,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":135,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":536}},{"answer":"def solve(data):\n    items = []\n    for iv in data:\n        s, e = iv[0], iv[1]\n        if s < e:\n            items.append((s, e))\n    items.sort()\n    res = []\n    for s, e in items:\n        if res and s <= res[-1][1]:\n            if e > res[-1][1]:\n                res[-1][1] = e\n        else:\n            res.append([s, e])\n    return res","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002488,"finished_at":"2026-10-05T05:45:24.197754+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"4aec54ac4c6e4155595065b2ec3b1ff67f8bacfca22078e5a6400b8016d3c0a8","latency_seconds":1.442554,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a list of [start,end] integer half-open intervals, with start<=end. Drop empty intervals; merge overlapping or touching intervals. Return sorted merged intervals without mutating input.","raw_response_hash":"3d7fc36b92eb93608b02a41ce36ff69170a53e0ffefa73f6646b74074cc58a34","repetition":1,"request_hash":"ba122fc451a6278a6b459ad25c7bb46d5ab45124bbd05448ca92c580c1ee81b8","request_id":"req_011CfiZTMsLuSiYsvLZMcMrn","sent_at":"2026-10-05T05:45:22.755200+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-intervals","trial_id":"3228f52e01154b26998a0932aa8b5bf34a114a4d6ee0b09b8c808fcd30aacaf5","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":579,"output_tokens":133,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"def solve(data):\n    items = []\n    for iv in data:\n        s = iv[0]\n        e = iv[1]\n        if s < e:\n            items.append((s, e))\n    items.sort()\n    res = []\n    for s, e in items:\n        if res and s <= res[-1][1]:\n            if e > res[-1][1]:\n                res[-1][1] = e\n        else:\n            res.append([s, e])\n    return res","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002508,"finished_at":"2026-10-05T05:48:45.797119+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"4aec54ac4c6e4155595065b2ec3b1ff67f8bacfca22078e5a6400b8016d3c0a8","latency_seconds":1.459467,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a list of [start,end] integer half-open intervals, with start<=end. Drop empty intervals; merge overlapping or touching intervals. Return sorted merged intervals without mutating input.","raw_response_hash":"c4b9e15ae1e23cb20e89202963a8efa311a562d95a2bf98253ebea0bace66acf","repetition":2,"request_hash":"ba122fc451a6278a6b459ad25c7bb46d5ab45124bbd05448ca92c580c1ee81b8","request_id":"req_011CfiZiDjMy6zScMgCRYPM4","sent_at":"2026-10-05T05:48:44.337652+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-intervals","trial_id":"55522c3dfd3b9f35e2bb8544666a7d0c4c25f9413f92702f324d0e78e0480406","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":579,"output_tokens":135,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"def solve(data):\n    items = []\n    for iv in data:\n        s, e = iv[0], iv[1]\n        if s < e:\n            items.append((s, e))\n    items.sort()\n    res = []\n    for s, e in items:\n        if res and s <= res[-1][1]:\n            if e > res[-1][1]:\n                res[-1][1] = e\n        else:\n            res.append([s, e])\n    return res","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002488,"finished_at":"2026-10-05T05:50:38.370679+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"4aec54ac4c6e4155595065b2ec3b1ff67f8bacfca22078e5a6400b8016d3c0a8","latency_seconds":1.344637,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a list of [start,end] integer half-open intervals, with start<=end. Drop empty intervals; merge overlapping or touching intervals. Return sorted merged intervals without mutating input.","raw_response_hash":"71fdb9906cda982118a5122180c00c76eb965e5d6d87818f518526050adfe53a","repetition":3,"request_hash":"ba122fc451a6278a6b459ad25c7bb46d5ab45124bbd05448ca92c580c1ee81b8","request_id":"req_011CfiZrXgqai3uTig6gEmNH","sent_at":"2026-10-05T05:50:37.026042+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-intervals","trial_id":"caf54c9169392002f9a5c1f371f8a329dc165d196aeaf2ef39dce333da94e30e","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":579,"output_tokens":133,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"def solve(data):\n    valid = sorted([[iv[0], iv[1]] for iv in data if iv[0] < iv[1]])\n    if not valid:\n        return []\n    merged = []\n    for iv in valid:\n        if not merged:\n            merged.append([iv[0], iv[1]])\n        elif iv[0] <= merged[-1][1]:\n            merged[-1][1] = max(merged[-1][1], iv[1])\n        else:\n            merged.append([iv[0], iv[1]])\n    return merged","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.005256,"finished_at":"2026-10-05T05:45:29.504861+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"4aec54ac4c6e4155595065b2ec3b1ff67f8bacfca22078e5a6400b8016d3c0a8","latency_seconds":5.2404,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a list of [start,end] integer half-open intervals, with start<=end. Drop empty intervals; merge overlapping or touching intervals. Return sorted merged intervals without mutating input.","raw_response_hash":"0bf511b37a23bd169f96d417ac80af2072ad4779f01d5c6469cab1330183c9b0","repetition":1,"request_hash":"8137086ebb2b038c425fca9028ae62d8d1eb3b20f241d07625007736f4ecbc31","request_id":null,"sent_at":"2026-10-05T05:45:24.264461+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-intervals","trial_id":"2176fd765003fe534dda640b1ea4838f8f513c12bc5d6c16aa63975900e76dd2","usage":{"candidatesTokenCount":132,"promptTokenCount":378,"promptTokensDetails":[{"modality":"TEXT","tokenCount":378}],"serviceTier":"standard","thoughtsTokenCount":1194,"totalTokenCount":1704}},{"answer":"def solve(data):\n    filtered = sorted([[iv[0], iv[1]] for iv in data if iv[0] < iv[1]])\n    if not filtered:\n        return []\n    merged = [filtered[0]]\n    for iv in filtered[1:]:\n        if iv[0] <= merged[-1][1]:\n            merged[-1][1] = max(merged[-1][1], iv[1])\n        else:\n            merged.append(iv)\n    return merged","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.004274,"finished_at":"2026-10-05T05:48:50.607164+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"4aec54ac4c6e4155595065b2ec3b1ff67f8bacfca22078e5a6400b8016d3c0a8","latency_seconds":4.728003,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. 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Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a list of [start,end] integer half-open intervals, with start<=end. Drop empty intervals; merge overlapping or touching intervals. Return sorted merged intervals without mutating input.","raw_response_hash":"b2f39b81ef4b5e5844b0fa8144e058279d7e6ac8a10febd65cb1e11e230b1185","repetition":2,"request_hash":"8137086ebb2b038c425fca9028ae62d8d1eb3b20f241d07625007736f4ecbc31","request_id":null,"sent_at":"2026-10-05T05:48:45.879161+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-intervals","trial_id":"239c2fd20da5d9fdbc3498cf25f9fd78283e4631949c0e04b4ea3c1d27aa2725","usage":{"candidatesTokenCount":112,"promptTokenCount":378,"promptTokensDetails":[{"modality":"TEXT","tokenCount":378}],"serviceTier":"standard","thoughtsTokenCount":952,"totalTokenCount":1442}},{"answer":"def solve(data):\n    non_empty = [list(interval) for interval in data if interval[0] < interval[1]]\n    non_empty.sort(key=lambda x: (x[0], x[1]))\n    merged = []\n    for interval in non_empty:\n        if not merged:\n            merged.append(interval)\n        else:\n            if interval[0] <= merged[-1][1]:\n                merged[-1][1] = max(merged[-1][1], interval[1])\n            else:\n                merged.append(interval)\n    return merged","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.004045,"finished_at":"2026-10-05T05:50:34.844604+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"4aec54ac4c6e4155595065b2ec3b1ff67f8bacfca22078e5a6400b8016d3c0a8","latency_seconds":4.547749,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. 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Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a list of [start,end] integer half-open intervals, with start<=end. Drop empty intervals; merge overlapping or touching intervals. Return sorted merged intervals without mutating input.","raw_response_hash":"71e9bcccd4e62e57967c96a3b0d8bafa54c6ccfeda63f82713b264b2723c8e4f","repetition":3,"request_hash":"8137086ebb2b038c425fca9028ae62d8d1eb3b20f241d07625007736f4ecbc31","request_id":null,"sent_at":"2026-10-05T05:50:30.296855+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-intervals","trial_id":"a3580d94e197b49b7404dfa6e2da4799b32fab86feeedc29c9241d2313e4cbe3","usage":{"candidatesTokenCount":135,"promptTokenCount":378,"promptTokensDetails":[{"modality":"TEXT","tokenCount":378}],"serviceTier":"standard","thoughtsTokenCount":868,"totalTokenCount":1381}},{"answer":"def solve(data):\n    intervals = sorted((start, end) for start, end in data if start < end)\n    merged = []\n    for start, end in intervals:\n        if merged and start <= merged[-1][1]:\n            merged[-1][1] = max(merged[-1][1], end)\n        else:\n            merged.append([start, end])\n    return merged","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.001596,"finished_at":"2026-10-05T05:45:22.666761+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"4aec54ac4c6e4155595065b2ec3b1ff67f8bacfca22078e5a6400b8016d3c0a8","latency_seconds":2.21379,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a list of [start,end] integer half-open intervals, with start<=end. Drop empty intervals; merge overlapping or touching intervals. Return sorted merged intervals without mutating input.","raw_response_hash":"d6f04ba6da56f709e2c643707cdec4c2aecff9257f7ab351e3c62a65d61ad677","repetition":1,"request_hash":"8fee6a365d212eb60b0efea87e93580aaf2adc53f6bc979e4f1f2bc8a6aa3f6e","request_id":"req_9017598c4d1c456b9f4ab2e9b604a273","sent_at":"2026-10-05T05:45:20.452971+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-intervals","trial_id":"274b3444da6076472a4d88a56f3dfe473cc56e5a5cf97e16f7f53243f170b652","usage":{"input_tokens":378,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":84,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":462}},{"answer":"def solve(data):\n    intervals = sorted((start, end) for start, end in data if start < end)\n    result = []\n    for start, end in intervals:\n        if result and start <= result[-1][1]:\n            result[-1][1] = max(result[-1][1], end)\n        else:\n            result.append([start, end])\n    return result","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.001586,"finished_at":"2026-10-05T05:48:52.930979+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"4aec54ac4c6e4155595065b2ec3b1ff67f8bacfca22078e5a6400b8016d3c0a8","latency_seconds":2.257269,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a list of [start,end] integer half-open intervals, with start<=end. Drop empty intervals; merge overlapping or touching intervals. Return sorted merged intervals without mutating input.","raw_response_hash":"6c68abdd2604589beb9238056c4f8b5b04f5b49f9d43d6ed6ec3502d3db67f64","repetition":2,"request_hash":"8fee6a365d212eb60b0efea87e93580aaf2adc53f6bc979e4f1f2bc8a6aa3f6e","request_id":"req_333c2fa527d94444a73fd077eb8b81fa","sent_at":"2026-10-05T05:48:50.673710+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-intervals","trial_id":"638bd51e26779019ff0f563fe45524977393bbbd8ceaf927186cb0e2f8a9500d","usage":{"input_tokens":378,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":83,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":461}},{"answer":"def solve(data):\n    intervals = sorted((start, end) for start, end in data if start < end)\n    merged = []\n    for start, end in intervals:\n        if merged and start <= merged[-1][1]:\n            merged[-1][1] = max(merged[-1][1], end)\n        else:\n            merged.append([start, end])\n    return merged","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.001596,"finished_at":"2026-10-05T05:50:36.943395+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"4aec54ac4c6e4155595065b2ec3b1ff67f8bacfca22078e5a6400b8016d3c0a8","latency_seconds":2.033921,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a list of [start,end] integer half-open intervals, with start<=end. Drop empty intervals; merge overlapping or touching intervals. Return sorted merged intervals without mutating input.","raw_response_hash":"47f79bd834a178a604e0fae90bf59f5af850a34891c9fb77b1ab9d9ff7513daa","repetition":3,"request_hash":"8fee6a365d212eb60b0efea87e93580aaf2adc53f6bc979e4f1f2bc8a6aa3f6e","request_id":"req_7c29796587d04c9b9a3f2ea78112698d","sent_at":"2026-10-05T05:50:34.909474+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-intervals","trial_id":"8295c0ca84d34840dfdc06ab9a078711c23cc0c754992da36b6239dbea07582f","usage":{"input_tokens":378,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":84,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":462}},{"answer":"import math\n\ndef solve(data):\n    values = data.get(\"values\") if isinstance(data, dict) else None\n    if not values:\n        return None\n    p = data.get(\"p\", 0)\n    s = sorted(values)\n    n = len(s)\n    rank = max(1, math.ceil(p / 100 * n))\n    rank = min(rank, n)\n    return s[rank - 1]","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002408,"finished_at":"2026-10-05T05:41:33.700315+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"839970ac4cfb85175031c9224c924157d559f9fa5b058e59cc07db856bfe68dd","latency_seconds":1.975787,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {values:[finite numbers,...],p:number in [0,100]}. Return nearest-rank percentile: sorted values at 1-based rank max(1,ceil(p/100*n)). Return null for no values. Do not interpolate or mutate input.","raw_response_hash":"fed30c86a18c7feaf73b60a00d3c06abdfe2c82d0e4f700d9c8306c78eb61c2d","repetition":1,"request_hash":"50f93d3456c5ceaab46ab89357a5dc8050a1e097f7721fa12914960c49f9aaf6","request_id":"req_011CfiZALRZ8j3BbxJmJx5Wr","sent_at":"2026-10-05T05:41:31.724528+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-percentile","trial_id":"32ad971c4bae0d0d8840f3722631342d07490440d82d0af796c70351dc8075fa","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":599,"output_tokens":121,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"import math\n\ndef solve(data):\n    values = data.get(\"values\") if isinstance(data, dict) else None\n    if not values:\n        return None\n    p = data.get(\"p\", 0)\n    s = sorted(values)\n    n = len(s)\n    rank = max(1, math.ceil(p / 100 * n))\n    rank = min(rank, n)\n    return s[rank - 1]","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002408,"finished_at":"2026-10-05T05:48:08.753062+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"839970ac4cfb85175031c9224c924157d559f9fa5b058e59cc07db856bfe68dd","latency_seconds":1.647257,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {values:[finite numbers,...],p:number in [0,100]}. Return nearest-rank percentile: sorted values at 1-based rank max(1,ceil(p/100*n)). Return null for no values. Do not interpolate or mutate input.","raw_response_hash":"a595e7af585b4870e87432c456f560d6f5dafea8844a0a58e49b505bc3021dad","repetition":2,"request_hash":"50f93d3456c5ceaab46ab89357a5dc8050a1e097f7721fa12914960c49f9aaf6","request_id":"req_011CfiZfUVoGkznt4djBabYu","sent_at":"2026-10-05T05:48:07.105805+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-percentile","trial_id":"4934f0ccc8b7372da313cbef455f6868e8b99e2d4c9aaf275c4e36d6644e1761","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":599,"output_tokens":121,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"import math\n\ndef solve(data):\n    values = data.get(\"values\")\n    if not values:\n        return None\n    p = data.get(\"p\", 0)\n    s = sorted(values)\n    n = len(s)\n    rank = max(1, math.ceil(p / 100 * n))\n    rank = min(rank, n)\n    return s[rank - 1]","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002278,"finished_at":"2026-10-05T05:52:34.384342+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"839970ac4cfb85175031c9224c924157d559f9fa5b058e59cc07db856bfe68dd","latency_seconds":1.711214,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {values:[finite numbers,...],p:number in [0,100]}. Return nearest-rank percentile: sorted values at 1-based rank max(1,ceil(p/100*n)). Return null for no values. Do not interpolate or mutate input.","raw_response_hash":"b905e0f1f41d08d26f41165e56ff55a83deed0285f60ee8d2a3c5eb866af77ab","repetition":3,"request_hash":"50f93d3456c5ceaab46ab89357a5dc8050a1e097f7721fa12914960c49f9aaf6","request_id":"req_011Cfia144vCZRbsnbkVARfE","sent_at":"2026-10-05T05:52:32.673128+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-percentile","trial_id":"ec0c76858dfc88e17fdd9f04dde42768729f8df4a79ff06798ba29452acf0285","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":599,"output_tokens":108,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"import math\n\ndef solve(data):\n    values = data['values']\n    if not values:\n        return None\n    p = data['p']\n    n = len(values)\n    rank = max(1, math.ceil(p / 100 * n))\n    return sorted(values)[rank - 1]","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.007392,"finished_at":"2026-10-05T05:41:43.115314+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"839970ac4cfb85175031c9224c924157d559f9fa5b058e59cc07db856bfe68dd","latency_seconds":9.33954,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {values:[finite numbers,...],p:number in [0,100]}. Return nearest-rank percentile: sorted values at 1-based rank max(1,ceil(p/100*n)). Return null for no values. Do not interpolate or mutate input.","raw_response_hash":"f86abc3802b856115f14771f68a20dc3c105edd5112c1ec72533fff5ea429c2d","repetition":1,"request_hash":"e9f82712fc5aaa3efb00245dc0060e3f44f3d4b91463c84a471da2fa7b0f105c","request_id":null,"sent_at":"2026-10-05T05:41:33.775774+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-percentile","trial_id":"4a68c79e512a9654fc66c332ae97c0707132632ffb665cd64ea8029c3fb2294f","usage":{"candidatesTokenCount":75,"promptTokenCount":400,"promptTokensDetails":[{"modality":"TEXT","tokenCount":400}],"serviceTier":"standard","thoughtsTokenCount":1816,"totalTokenCount":2291}},{"answer":"import math\n\ndef solve(data):\n    values = sorted(data[\"values\"])\n    if not values:\n        return None\n    n = len(values)\n    p = data[\"p\"]\n    rank = max(1, math.ceil(p / 100 * n))\n    return values[rank - 1]","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.00465,"finished_at":"2026-10-05T05:48:13.359370+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"839970ac4cfb85175031c9224c924157d559f9fa5b058e59cc07db856bfe68dd","latency_seconds":4.543439,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {values:[finite numbers,...],p:number in [0,100]}. Return nearest-rank percentile: sorted values at 1-based rank max(1,ceil(p/100*n)). Return null for no values. Do not interpolate or mutate input.","raw_response_hash":"24c22ce48c161aed0e129c59843fc760f5dd65fbb4450532ac8c7b0c74561cea","repetition":2,"request_hash":"e9f82712fc5aaa3efb00245dc0060e3f44f3d4b91463c84a471da2fa7b0f105c","request_id":null,"sent_at":"2026-10-05T05:48:08.815931+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-percentile","trial_id":"4c46ebfbb4f89fd672aba4cc6634bc287070f82f0acd060fd5756c7e52aa7ff6","usage":{"candidatesTokenCount":75,"promptTokenCount":400,"promptTokensDetails":[{"modality":"TEXT","tokenCount":400}],"serviceTier":"standard","thoughtsTokenCount":1085,"totalTokenCount":1560}},{"answer":"import math\n\ndef solve(data):\n    values = data['values']\n    if not values:\n        return None\n    n = len(values)\n    p = data['p']\n    rank = max(1, math.ceil(p / 100 * n))\n    return sorted(values)[rank - 1]","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.005944,"finished_at":"2026-10-05T05:52:30.351151+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"839970ac4cfb85175031c9224c924157d559f9fa5b058e59cc07db856bfe68dd","latency_seconds":6.249544,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {values:[finite numbers,...],p:number in [0,100]}. Return nearest-rank percentile: sorted values at 1-based rank max(1,ceil(p/100*n)). Return null for no values. Do not interpolate or mutate input.","raw_response_hash":"17e60c30c5e797e985449fdadb2be86b305a14e82f359369fb94cc761901aba2","repetition":3,"request_hash":"e9f82712fc5aaa3efb00245dc0060e3f44f3d4b91463c84a471da2fa7b0f105c","request_id":null,"sent_at":"2026-10-05T05:52:24.101607+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-percentile","trial_id":"d8a5c54a7e20895eb8afd34d26eede7fb4c2187c7690a3d694b2aa141a54f859","usage":{"candidatesTokenCount":75,"promptTokenCount":400,"promptTokensDetails":[{"modality":"TEXT","tokenCount":400}],"serviceTier":"standard","thoughtsTokenCount":1430,"totalTokenCount":1905}},{"answer":"import math\n\ndef solve(data):\n    values = sorted(data[\"values\"])\n    if not values:\n        return None\n    rank = max(1, math.ceil(data[\"p\"] / 100 * len(values)))\n    return values[rank - 1]","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.001358,"finished_at":"2026-10-05T05:41:31.663853+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"839970ac4cfb85175031c9224c924157d559f9fa5b058e59cc07db856bfe68dd","latency_seconds":2.428356,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {values:[finite numbers,...],p:number in [0,100]}. Return nearest-rank percentile: sorted values at 1-based rank max(1,ceil(p/100*n)). Return null for no values. Do not interpolate or mutate input.","raw_response_hash":"c0bd5d646de5e2c827911d6431554311db98cbe98221224fc7d384d85bdc18fd","repetition":1,"request_hash":"d8c1b313454d8f0416d0cefa8b8c736431740002fe58070af4d798c7002b4137","request_id":"req_3e90e714967942d18d98e75b8750771f","sent_at":"2026-10-05T05:41:29.235497+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-percentile","trial_id":"7957b854ce92e73f5d2154e06baddc6b9b7952516370ce3b890e07c819eaecfb","usage":{"input_tokens":394,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":57,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":451}},{"answer":"import math\n\ndef solve(data):\n    values = data[\"values\"]\n    if not values:\n        return None\n    ordered = sorted(values)\n    rank = max(1, math.ceil(data[\"p\"] / 100 * len(ordered)))\n    return ordered[rank - 1]","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.001418,"finished_at":"2026-10-05T05:48:15.748177+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"839970ac4cfb85175031c9224c924157d559f9fa5b058e59cc07db856bfe68dd","latency_seconds":2.312423,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {values:[finite numbers,...],p:number in [0,100]}. Return nearest-rank percentile: sorted values at 1-based rank max(1,ceil(p/100*n)). Return null for no values. Do not interpolate or mutate input.","raw_response_hash":"31e621043751744ec8ad1454775cac68a273b861e92e0296dc5d2a545c0b60b5","repetition":2,"request_hash":"d8c1b313454d8f0416d0cefa8b8c736431740002fe58070af4d798c7002b4137","request_id":"req_f1a1db7191c14c06947f119c240215aa","sent_at":"2026-10-05T05:48:13.435754+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-percentile","trial_id":"7a67040d7dae4248a6b578fd7c1d438d9ffcd235d9be839280de5dd29862ee04","usage":{"input_tokens":394,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":63,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":457}},{"answer":"import math\n\ndef solve(data):\n    values = sorted(data[\"values\"])\n    if not values:\n        return None\n    rank = max(1, math.ceil(data[\"p\"] / 100 * len(values)))\n    return values[rank - 1]","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.001358,"finished_at":"2026-10-05T05:52:32.612721+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"839970ac4cfb85175031c9224c924157d559f9fa5b058e59cc07db856bfe68dd","latency_seconds":2.196808,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {values:[finite numbers,...],p:number in [0,100]}. Return nearest-rank percentile: sorted values at 1-based rank max(1,ceil(p/100*n)). Return null for no values. Do not interpolate or mutate input.","raw_response_hash":"aa116347541fdec01e96a87fd1976c728134e10f8241611c0bee1a2084f0467b","repetition":3,"request_hash":"d8c1b313454d8f0416d0cefa8b8c736431740002fe58070af4d798c7002b4137","request_id":"req_024853f3428a49788b697fd7a0ca055c","sent_at":"2026-10-05T05:52:30.415913+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-percentile","trial_id":"6779d2a45435f841f7903d2c9d11cfded228ead817f26dc61b0c6249e766d255","usage":{"input_tokens":394,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":57,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":451}},{"answer":"def solve(data):\n    from collections import deque, defaultdict\n    limit = data[\"limit\"]\n    window = data[\"window\"]\n    acc = defaultdict(deque)\n    res = []\n    for ev in data[\"events\"]:\n        u = ev[\"user\"]\n        t = ev[\"time\"]\n        d = acc[u]\n        while d and d[0] <= t - window:\n            d.popleft()\n        if len(d) < limit:\n            d.append(t)\n            res.append(True)\n        else:\n            res.append(False)\n    return res","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002936,"finished_at":"2026-10-05T05:42:56.871506+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"533a0d4b7de63a201cf0cb2808b07b2933e5c1ac268098215b30c55a85eb6151","latency_seconds":1.899708,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {limit:positive integer,window:positive integer,events:[{user,time},...]}. Times are nondecreasing integer seconds. Process in input order. Accept only when fewer than limit previously accepted events for that user have times strictly greater than time-window. Rejections do not consume allowance. Return a list of booleans. User IDs are strings.","raw_response_hash":"cb1c16319d5223b5c1de328983d0ac4450dfc3ebd81f0ece8a34c4cdd5ab1e6d","repetition":1,"request_hash":"44d2bb243dca13cb6842229ad89968a8d7d14452bf06584c0cddf2f03c80870e","request_id":"req_011CfiZGTz8swGVDpWdqD28R","sent_at":"2026-10-05T05:42:54.971798+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-rate","trial_id":"290f6c33b22adcaa863439d2ad932b5619c709542e7c582598189eb0f9a146a7","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":628,"output_tokens":168,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"def solve(data):\n    from collections import deque, defaultdict\n    limit = data[\"limit\"]\n    window = data[\"window\"]\n    acc = defaultdict(deque)\n    res = []\n    for ev in data[\"events\"]:\n        u = ev[\"user\"]\n        t = ev[\"time\"]\n        d = acc[u]\n        while d and d[0] <= t - window:\n            d.popleft()\n        if len(d) < limit:\n            d.append(t)\n            res.append(True)\n        else:\n            res.append(False)\n    return res","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002936,"finished_at":"2026-10-05T05:47:21.519270+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"533a0d4b7de63a201cf0cb2808b07b2933e5c1ac268098215b30c55a85eb6151","latency_seconds":1.939746,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {limit:positive integer,window:positive integer,events:[{user,time},...]}. Times are nondecreasing integer seconds. Process in input order. Accept only when fewer than limit previously accepted events for that user have times strictly greater than time-window. Rejections do not consume allowance. Return a list of booleans. User IDs are strings.","raw_response_hash":"e13c8db5e2aa33a7731c7d4420ce87d3bc57a32edc09c21916028f54e5890f5c","repetition":2,"request_hash":"44d2bb243dca13cb6842229ad89968a8d7d14452bf06584c0cddf2f03c80870e","request_id":"req_011CfiZbyWBq1K8dJgM63MR6","sent_at":"2026-10-05T05:47:19.579524+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-rate","trial_id":"50ce04ddf6c1997f49256f9a7be5e15c51ea0c46114e62a8c5501873b75bb987","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":628,"output_tokens":168,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"The approach is a sliding window per user, kept as a deque of accepted times. For each event at time t, drop accepted times that are at or below t - window, since only times strictly greater than t - window count. If fewer than `limit` remain, accept the event and record its time. Otherwise reject it, which leaves the allowance unchanged.\n\nTimes are nondecreasing, so pruning from the left is safe: a time dropped for one event would also be dropped for every later event.\n\nThe input is not mutated, and events are read only through `e[\"user\"]` and `e[\"time\"]`.\n\nimport collections is needed for deque.\n\nimport collections\n\ndef solve(data):\n    limit = data[\"limit\"]\n    window = data[\"window\"]\n    dq = collections.defaultdict(collections.deque)\n    res = []\n    for e in data[\"events\"]:\n        u = e[\"user\"]\n        t = e[\"time\"]\n        d = dq[u]\n        while d and d[0] <= t - window:\n            d.popleft()\n        if len(d) < limit:\n            d.append(t)\n            res.append(True)\n        else:\n            res.append(False)\n    return res","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.004736,"finished_at":"2026-10-05T05:53:28.239401+00:00","grade":{"checks":[{"case":1,"passed":false},{"case":2,"passed":false},{"case":3,"passed":false},{"case":4,"passed":false}],"passed":false,"reason":"execution_rejected"},"input_hash":"533a0d4b7de63a201cf0cb2808b07b2933e5c1ac268098215b30c55a85eb6151","latency_seconds":3.732855,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {limit:positive integer,window:positive integer,events:[{user,time},...]}. Times are nondecreasing integer seconds. Process in input order. Accept only when fewer than limit previously accepted events for that user have times strictly greater than time-window. Rejections do not consume allowance. Return a list of booleans. User IDs are strings.","raw_response_hash":"51f441a2bb231f2daf03051c75ebe850adeec28e4d1977983722a15f2701b5b0","repetition":3,"request_hash":"44d2bb243dca13cb6842229ad89968a8d7d14452bf06584c0cddf2f03c80870e","request_id":"req_011Cfia4sbEpLZR5sfHgzQd5","sent_at":"2026-10-05T05:53:24.506546+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-rate","trial_id":"0b7f5445db96fee3a0a52e455549f91c81e56f636d66196b9ed5ae611018427c","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":628,"output_tokens":348,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"from collections import defaultdict, deque\n\ndef solve(data):\n    limit = data[\"limit\"]\n    window = data[\"window\"]\n    events = data[\"events\"]\n\n    user_history = defaultdict(deque)\n    res = []\n\n    for event in events:\n        user = event[\"user\"]\n        t = event[\"time\"]\n        cutoff = t - window\n        dq = user_history[user]\n        while dq and dq[0] <= cutoff:\n            dq.popleft()\n        if len(dq) < limit:\n            dq.append(t)\n            res.append(True)\n        else:\n            res.append(False)\n\n    return res","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.005125,"finished_at":"2026-10-05T05:43:02.527296+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"533a0d4b7de63a201cf0cb2808b07b2933e5c1ac268098215b30c55a85eb6151","latency_seconds":5.546929,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {limit:positive integer,window:positive integer,events:[{user,time},...]}. Times are nondecreasing integer seconds. Process in input order. Accept only when fewer than limit previously accepted events for that user have times strictly greater than time-window. Rejections do not consume allowance. Return a list of booleans. User IDs are strings.","raw_response_hash":"13abfdcd45d31ace7ace19090503ddf123e18b40643147fcd36b12a30c56f4fe","repetition":1,"request_hash":"67b7dd281907a9c6c1096afea8022d832e9efe20f1107a1ab8d3045580fa933b","request_id":null,"sent_at":"2026-10-05T05:42:56.980367+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-rate","trial_id":"f1c5b66c8c45b360dacc282ab524df5b397cc4f3dce884144941ce4ca21ad3b0","usage":{"candidatesTokenCount":152,"promptTokenCount":413,"promptTokensDetails":[{"modality":"TEXT","tokenCount":413}],"serviceTier":"standard","thoughtsTokenCount":1132,"totalTokenCount":1697}},{"answer":"from collections import deque, defaultdict\n\ndef solve(data):\n    limit = data['limit']\n    window = data['window']\n    events = data['events']\n    \n    user_history = defaultdict(deque)\n    results = []\n    \n    for ev in events:\n        user = ev['user']\n        t = ev['time']\n        dq = user_history[user]\n        \n        cutoff = t - window\n        while dq and dq[0] <= cutoff:\n            dq.popleft()\n            \n        if len(dq) < limit:\n            dq.append(t)\n            results.append(True)\n        else:\n            results.append(False)\n            \n    return results","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.004656,"finished_at":"2026-10-05T05:47:26.183588+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"533a0d4b7de63a201cf0cb2808b07b2933e5c1ac268098215b30c55a85eb6151","latency_seconds":4.598881,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {limit:positive integer,window:positive integer,events:[{user,time},...]}. Times are nondecreasing integer seconds. Process in input order. Accept only when fewer than limit previously accepted events for that user have times strictly greater than time-window. Rejections do not consume allowance. Return a list of booleans. User IDs are strings.","raw_response_hash":"9fd957a22f505c8d8e2febc38338f852d29c8ece13053b598cadb01ea217b450","repetition":2,"request_hash":"67b7dd281907a9c6c1096afea8022d832e9efe20f1107a1ab8d3045580fa933b","request_id":null,"sent_at":"2026-10-05T05:47:21.584707+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-rate","trial_id":"3a606900928628e41e69fef85c602c2f6f2ea717c2982472602a80765bcdc069","usage":{"candidatesTokenCount":162,"promptTokenCount":413,"promptTokensDetails":[{"modality":"TEXT","tokenCount":413}],"serviceTier":"standard","thoughtsTokenCount":997,"totalTokenCount":1572}},{"answer":"from collections import defaultdict, deque\n\ndef solve(data):\n    limit = data['limit']\n    window = data['window']\n    events = data['events']\n\n    user_history = defaultdict(deque)\n    result = []\n\n    for ev in events:\n        u = ev['user']\n        t = ev['time']\n        q = user_history[u]\n        cutoff = t - window\n        while q and q[0] <= cutoff:\n            q.popleft()\n        if len(q) < limit:\n            q.append(t)\n            result.append(True)\n        else:\n            result.append(False)\n\n    return result","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.005451,"finished_at":"2026-10-05T05:53:21.252966+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"533a0d4b7de63a201cf0cb2808b07b2933e5c1ac268098215b30c55a85eb6151","latency_seconds":5.917468,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {limit:positive integer,window:positive integer,events:[{user,time},...]}. Times are nondecreasing integer seconds. Process in input order. Accept only when fewer than limit previously accepted events for that user have times strictly greater than time-window. Rejections do not consume allowance. Return a list of booleans. User IDs are strings.","raw_response_hash":"d3ec2c313821c9bf1258d7ad291c5cc72f282cf05d4eba36c087a78c960a9173","repetition":3,"request_hash":"67b7dd281907a9c6c1096afea8022d832e9efe20f1107a1ab8d3045580fa933b","request_id":null,"sent_at":"2026-10-05T05:53:15.335498+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-rate","trial_id":"3d592edb7914a1e5011ce47baf546d96b73012ebc7a3177497dfd0446f8e5755","usage":{"candidatesTokenCount":152,"promptTokenCount":413,"promptTokensDetails":[{"modality":"TEXT","tokenCount":413}],"serviceTier":"standard","thoughtsTokenCount":1219,"totalTokenCount":1784}},{"answer":"from collections import deque\n\ndef solve(data):\n    limit = data[\"limit\"]\n    window = data[\"window\"]\n    accepted = {}\n    result = []\n\n    for event in data[\"events\"]:\n        user = event[\"user\"]\n        time = event[\"time\"]\n        if user not in accepted:\n            accepted[user] = deque()\n        times = accepted[user]\n        cutoff = time - window\n\n        while times and times[0] <= cutoff:\n            times.popleft()\n\n        allowed = len(times) < limit\n        result.append(allowed)\n        if allowed:\n            times.append(time)\n\n    return result","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002098,"finished_at":"2026-10-05T05:42:54.917963+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"533a0d4b7de63a201cf0cb2808b07b2933e5c1ac268098215b30c55a85eb6151","latency_seconds":2.585324,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {limit:positive integer,window:positive integer,events:[{user,time},...]}. Times are nondecreasing integer seconds. Process in input order. Accept only when fewer than limit previously accepted events for that user have times strictly greater than time-window. Rejections do not consume allowance. Return a list of booleans. User IDs are strings.","raw_response_hash":"1563a9556559b9b0708a333c67f0c9a925b8cfd72301ea10070277d686c19cc7","repetition":1,"request_hash":"7d1ed213c329350cc1deb18d08af55b5daa2b74ba1b0b1f02a585a32c396c810","request_id":"req_ac71ec3141f54d2aa7ed6172b99493b6","sent_at":"2026-10-05T05:42:52.332639+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-rate","trial_id":"b23dba1c0644714684977ed87b6b7a31c8b5f34abfdf1a0e19697d6af67d1117","usage":{"input_tokens":414,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":127,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":541}},{"answer":"from collections import deque\n\ndef solve(data):\n    limit = data[\"limit\"]\n    window = data[\"window\"]\n    accepted = {}\n    results = []\n\n    for event in data[\"events\"]:\n        user = event[\"user\"]\n        time = event[\"time\"]\n        if user not in accepted:\n            accepted[user] = deque()\n        queue = accepted[user]\n        cutoff = time - window\n\n        while queue and queue[0] <= cutoff:\n            queue.popleft()\n\n        allowed = len(queue) < limit\n        results.append(allowed)\n        if allowed:\n            queue.append(time)\n\n    return results","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002098,"finished_at":"2026-10-05T05:47:29.268419+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"533a0d4b7de63a201cf0cb2808b07b2933e5c1ac268098215b30c55a85eb6151","latency_seconds":3.025786,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {limit:positive integer,window:positive integer,events:[{user,time},...]}. Times are nondecreasing integer seconds. Process in input order. Accept only when fewer than limit previously accepted events for that user have times strictly greater than time-window. Rejections do not consume allowance. Return a list of booleans. User IDs are strings.","raw_response_hash":"8b205b29730d5649cb4214efbd3ac010d06eca51502f88b892cef53c7f40a599","repetition":2,"request_hash":"7d1ed213c329350cc1deb18d08af55b5daa2b74ba1b0b1f02a585a32c396c810","request_id":"req_33afdc58321c4f40b296836d57dc0ab6","sent_at":"2026-10-05T05:47:26.242633+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-rate","trial_id":"9b1d56ba5c5a671def1d948fc58d1e2c530cce61a24176f80ce77ae839647455","usage":{"input_tokens":414,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":127,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":541}},{"answer":"from collections import deque\n\ndef solve(data):\n    limit = data[\"limit\"]\n    window = data[\"window\"]\n    accepted = {}\n    result = []\n\n    for event in data[\"events\"]:\n        user = event[\"user\"]\n        time = event[\"time\"]\n\n        if user not in accepted:\n            accepted[user] = deque()\n        times = accepted[user]\n\n        cutoff = time - window\n        while times and times[0] <= cutoff:\n            times.popleft()\n\n        allowed = len(times) < limit\n        result.append(allowed)\n        if allowed:\n            times.append(time)\n\n    return result","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002098,"finished_at":"2026-10-05T05:53:24.422196+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"533a0d4b7de63a201cf0cb2808b07b2933e5c1ac268098215b30c55a85eb6151","latency_seconds":3.108396,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {limit:positive integer,window:positive integer,events:[{user,time},...]}. Times are nondecreasing integer seconds. Process in input order. Accept only when fewer than limit previously accepted events for that user have times strictly greater than time-window. Rejections do not consume allowance. Return a list of booleans. User IDs are strings.","raw_response_hash":"792a6affd665dd677a7f424d70ef3806b3f30bca301ca4ab85ce1ac64b570768","repetition":3,"request_hash":"7d1ed213c329350cc1deb18d08af55b5daa2b74ba1b0b1f02a585a32c396c810","request_id":"req_29a8e148edb74242bb21fcb0320077d5","sent_at":"2026-10-05T05:53:21.313800+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-rate","trial_id":"0cd829b4a6f8fdd44410f6c6db7e84bd1f7d015f7d47286178c72665f7f16d28","usage":{"input_tokens":414,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":127,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":541}},{"answer":"def solve(data):\n    totals = {}\n    for inv in data.get(\"invoices\", []):\n        k = inv[\"id\"]\n        totals[k] = totals.get(k, 0) + inv[\"cents\"]\n    for p in data.get(\"payments\", []):\n        k = p[\"id\"]\n        totals[k] = totals.get(k, 0) - p[\"cents\"]\n    result = {}\n    for k in sorted(totals.keys()):\n        if totals[k] != 0:\n            result[k] = totals[k]\n    return result","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002902,"finished_at":"2026-10-05T05:44:16.934856+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"5bb2ddfd9af3a43eb58562d1612d3c8489f2861a0b6553f540e7f26e1a3d6a9d","latency_seconds":1.835787,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input has invoices and payments lists of {id, cents}. Sum amounts by id; payments subtract from invoices. Return a dict of nonzero outstanding amounts with dictionary iteration keys sorted lexicographically by id, including negative overpayments. IDs are strings. Empty lists are valid. Amounts in cents are integers.","raw_response_hash":"6b2a0c42229780fb3b133909345fac6b0fc91a3e98417fa41748b151343c8189","repetition":1,"request_hash":"90e701a15df5bc7ec579baa172b59f4686c2bbd637c4eace1878ad1fa3e591ec","request_id":"req_011CfiZNNbMmbGZk3HUUsHAL","sent_at":"2026-10-05T05:44:15.099069+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-reconcile","trial_id":"94ba0de2df9abdd561b246318f09afad82e5b458200d8cd49c5e44183f1cf77d","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":626,"output_tokens":165,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"def solve(data):\n    totals = {}\n    for inv in data.get(\"invoices\", []):\n        k = inv[\"id\"]\n        totals[k] = totals.get(k, 0) + inv[\"cents\"]\n    for pay in data.get(\"payments\", []):\n        k = pay[\"id\"]\n        totals[k] = totals.get(k, 0) - pay[\"cents\"]\n    result = {}\n    for k in sorted(totals):\n        if totals[k] != 0:\n            result[k] = totals[k]\n    return result","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002892,"finished_at":"2026-10-05T05:48:54.773527+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"5bb2ddfd9af3a43eb58562d1612d3c8489f2861a0b6553f540e7f26e1a3d6a9d","latency_seconds":1.781522,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input has invoices and payments lists of {id, cents}. Sum amounts by id; payments subtract from invoices. Return a dict of nonzero outstanding amounts with dictionary iteration keys sorted lexicographically by id, including negative overpayments. IDs are strings. Empty lists are valid. Amounts in cents are integers.","raw_response_hash":"6b65bb0c831923871d509edd770425fe7b1bdbaae66ed70a422a829cd8f72791","repetition":2,"request_hash":"90e701a15df5bc7ec579baa172b59f4686c2bbd637c4eace1878ad1fa3e591ec","request_id":"req_011CfiZirgs7ayUzT6ofKKth","sent_at":"2026-10-05T05:48:52.992005+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-reconcile","trial_id":"268b82aa18039dcd95cd389306871ed47e4502925f785e4e31975f5da94b2173","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":626,"output_tokens":164,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"def solve(data):\n    totals = {}\n    for inv in data.get(\"invoices\", []):\n        k = inv[\"id\"]\n        totals[k] = totals.get(k, 0) + inv[\"cents\"]\n    for p in data.get(\"payments\", []):\n        k = p[\"id\"]\n        totals[k] = totals.get(k, 0) - p[\"cents\"]\n    result = {}\n    for k in sorted(totals):\n        if totals[k] != 0:\n            result[k] = totals[k]\n    return result","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002862,"finished_at":"2026-10-05T05:52:04.772609+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"5bb2ddfd9af3a43eb58562d1612d3c8489f2861a0b6553f540e7f26e1a3d6a9d","latency_seconds":1.798817,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input has invoices and payments lists of {id, cents}. Sum amounts by id; payments subtract from invoices. Return a dict of nonzero outstanding amounts with dictionary iteration keys sorted lexicographically by id, including negative overpayments. IDs are strings. Empty lists are valid. Amounts in cents are integers.","raw_response_hash":"bd67c911d8125da4195792eb6c177847c456711e83540b9154281823f101731a","repetition":3,"request_hash":"90e701a15df5bc7ec579baa172b59f4686c2bbd637c4eace1878ad1fa3e591ec","request_id":"req_011CfiZxrvtZBxy1MPHZeKan","sent_at":"2026-10-05T05:52:02.973792+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-reconcile","trial_id":"bb6921c9f99ef0828b8acdfde334dc1b9ebbb51a9a924cb578ed7bc1e9218dc8","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":626,"output_tokens":161,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"from collections import defaultdict\n\ndef solve(data):\n    totals = defaultdict(int)\n    for inv in data.get('invoices', []):\n        totals[inv['id']] += inv['cents']\n    for pay in data.get('payments', []):\n        totals[pay['id']] -= pay['cents']\n    \n    result = {}\n    for k in sorted(totals.keys()):\n        if totals[k] != 0:\n            result[k] = totals[k]\n    return result","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002939,"finished_at":"2026-10-05T05:44:20.205735+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"5bb2ddfd9af3a43eb58562d1612d3c8489f2861a0b6553f540e7f26e1a3d6a9d","latency_seconds":3.176342,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input has invoices and payments lists of {id, cents}. Sum amounts by id; payments subtract from invoices. Return a dict of nonzero outstanding amounts with dictionary iteration keys sorted lexicographically by id, including negative overpayments. IDs are strings. Empty lists are valid. Amounts in cents are integers.","raw_response_hash":"fdf827ee0a3e1b4aa7eea79c55f8fc6b5330e4cf47fe1160125708387c445f43","repetition":1,"request_hash":"18bff07fd0961505972e91bdd072a4ea26c793bd0365c97bfecd487dbba86404","request_id":null,"sent_at":"2026-10-05T05:44:17.029393+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-reconcile","trial_id":"d016715026609d62129008edb9bbda38d08c71c0117720ddff5b563ad0a370ad","usage":{"candidatesTokenCount":115,"promptTokenCount":398,"promptTokensDetails":[{"modality":"TEXT","tokenCount":398}],"serviceTier":"standard","thoughtsTokenCount":589,"totalTokenCount":1102}},{"answer":"from collections import defaultdict\n\ndef solve(data):\n    balances = defaultdict(int)\n    for inv in data.get('invoices', []):\n        balances[inv['id']] += inv['cents']\n    for pmt in data.get('payments', []):\n        balances[pmmt_id := pmt['id']] -= pmt['cents']\n    \n    result = {}\n    for k in sorted(balances):\n        val = balances[k]\n        if val != 0:\n            result[k] = val\n    return result","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.003715,"finished_at":"2026-10-05T05:48:58.361474+00:00","grade":{"checks":[{"case":1,"passed":false},{"case":2,"passed":false},{"case":3,"passed":false},{"case":4,"passed":false},{"case":5,"passed":false}],"passed":false,"reason":"execution_rejected"},"input_hash":"5bb2ddfd9af3a43eb58562d1612d3c8489f2861a0b6553f540e7f26e1a3d6a9d","latency_seconds":3.512528,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input has invoices and payments lists of {id, cents}. Sum amounts by id; payments subtract from invoices. Return a dict of nonzero outstanding amounts with dictionary iteration keys sorted lexicographically by id, including negative overpayments. IDs are strings. Empty lists are valid. Amounts in cents are integers.","raw_response_hash":"b640cc01457c8b61878798d8ad15af1e09484e4c367c1ea65cb8eb26da8f945a","repetition":2,"request_hash":"18bff07fd0961505972e91bdd072a4ea26c793bd0365c97bfecd487dbba86404","request_id":null,"sent_at":"2026-10-05T05:48:54.848946+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-reconcile","trial_id":"a120599b9afcbe6997d349c432775695fe2774245f821fe3a4888772a58d6438","usage":{"candidatesTokenCount":123,"promptTokenCount":398,"promptTokensDetails":[{"modality":"TEXT","tokenCount":398}],"serviceTier":"standard","thoughtsTokenCount":788,"totalTokenCount":1309}},{"answer":"from collections import defaultdict\n\ndef solve(data):\n    balances = defaultdict(int)\n    for inv in data[\"invoices\"]:\n        balances[inv[\"id\"]] += inv[\"cents\"]\n    for pmt in data[\"payments\"]:\n        balances[pmt[\"id\"]] -= pmt[\"cents\"]\n    result = {}\n    for k in sorted(balances):\n        val = balances[k]\n        if val != 0:\n            result[k] = val\n    return result","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.003231,"finished_at":"2026-10-05T05:51:58.222229+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"5bb2ddfd9af3a43eb58562d1612d3c8489f2861a0b6553f540e7f26e1a3d6a9d","latency_seconds":3.615342,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input has invoices and payments lists of {id, cents}. Sum amounts by id; payments subtract from invoices. Return a dict of nonzero outstanding amounts with dictionary iteration keys sorted lexicographically by id, including negative overpayments. IDs are strings. Empty lists are valid. Amounts in cents are integers.","raw_response_hash":"11832f66e632b38b0b49913e83184dfd8d8e5f13578cb420f8bba5005c1dd6ae","repetition":3,"request_hash":"18bff07fd0961505972e91bdd072a4ea26c793bd0365c97bfecd487dbba86404","request_id":null,"sent_at":"2026-10-05T05:51:54.606887+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-reconcile","trial_id":"b29ae9cff5a77cb87132ab8358286ac5320873207c669df315d69f0c377ade04","usage":{"candidatesTokenCount":107,"promptTokenCount":398,"promptTokensDetails":[{"modality":"TEXT","tokenCount":398}],"serviceTier":"standard","thoughtsTokenCount":675,"totalTokenCount":1180}},{"answer":"def solve(data):\n    balances = {}\n    for invoice in data[\"invoices\"]:\n        identifier = invoice[\"id\"]\n        balances[identifier] = balances.get(identifier, 0) + invoice[\"cents\"]\n    for payment in data[\"payments\"]:\n        identifier = payment[\"id\"]\n        balances[identifier] = balances.get(identifier, 0) - payment[\"cents\"]\n    return {\n        identifier: balances[identifier]\n        for identifier in sorted(balances)\n        if balances[identifier] != 0\n    }","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.001924,"finished_at":"2026-10-05T05:44:15.029141+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"5bb2ddfd9af3a43eb58562d1612d3c8489f2861a0b6553f540e7f26e1a3d6a9d","latency_seconds":2.810107,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input has invoices and payments lists of {id, cents}. Sum amounts by id; payments subtract from invoices. Return a dict of nonzero outstanding amounts with dictionary iteration keys sorted lexicographically by id, including negative overpayments. IDs are strings. Empty lists are valid. Amounts in cents are integers.","raw_response_hash":"6419b5d654102cbe5bf69ea7fbb655e13d8f82d6b519658bbc50ab8bde0c03f1","repetition":1,"request_hash":"27734aff0cb62264d7d2f19fc7c4846ce2cfa191e413d80db5c1cad4c931181f","request_id":"req_181c17b5162f498c94a135bddaef5864","sent_at":"2026-10-05T05:44:12.219034+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-reconcile","trial_id":"4708f583eba1538e61f157beaa2d7b583181b6ad06b742ed1fd008fe234bfbcd","usage":{"input_tokens":402,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":112,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":514}},{"answer":"def solve(data):\n    balances = {}\n    for invoice in data[\"invoices\"]:\n        key = invoice[\"id\"]\n        balances[key] = balances.get(key, 0) + invoice[\"cents\"]\n    for payment in data[\"payments\"]:\n        key = payment[\"id\"]\n        balances[key] = balances.get(key, 0) - payment[\"cents\"]\n    return {key: balances[key] for key in sorted(balances) if balances[key] != 0}","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.001834,"finished_at":"2026-10-05T05:49:02.158863+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"5bb2ddfd9af3a43eb58562d1612d3c8489f2861a0b6553f540e7f26e1a3d6a9d","latency_seconds":3.747512,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input has invoices and payments lists of {id, cents}. Sum amounts by id; payments subtract from invoices. Return a dict of nonzero outstanding amounts with dictionary iteration keys sorted lexicographically by id, including negative overpayments. IDs are strings. Empty lists are valid. Amounts in cents are integers.","raw_response_hash":"2afdb4be0b93334307023e0a767f2fabf3d490ac3b9e13fcde7d523e52195ec9","repetition":2,"request_hash":"27734aff0cb62264d7d2f19fc7c4846ce2cfa191e413d80db5c1cad4c931181f","request_id":"req_57a38056553f4c288af96afbf2cc4850","sent_at":"2026-10-05T05:48:58.411351+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-reconcile","trial_id":"033b51c86c52b325847cb8c8823833a31b1ce905d1905b5e7d0f9f04105bf44c","usage":{"input_tokens":402,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":103,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":505}},{"answer":"def solve(data):\n    balances = {}\n    for invoice in data[\"invoices\"]:\n        key = invoice[\"id\"]\n        balances[key] = balances.get(key, 0) + invoice[\"cents\"]\n    for payment in data[\"payments\"]:\n        key = payment[\"id\"]\n        balances[key] = balances.get(key, 0) - payment[\"cents\"]\n    return {key: balances[key] for key in sorted(balances) if balances[key] != 0}","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.001834,"finished_at":"2026-10-05T05:52:02.914231+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"5bb2ddfd9af3a43eb58562d1612d3c8489f2861a0b6553f540e7f26e1a3d6a9d","latency_seconds":4.626766,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input has invoices and payments lists of {id, cents}. Sum amounts by id; payments subtract from invoices. Return a dict of nonzero outstanding amounts with dictionary iteration keys sorted lexicographically by id, including negative overpayments. IDs are strings. Empty lists are valid. Amounts in cents are integers.","raw_response_hash":"b61ebebad9f9365d6ae5e9421d00b29fc4bdff06042aa43950954082bb34c23a","repetition":3,"request_hash":"27734aff0cb62264d7d2f19fc7c4846ce2cfa191e413d80db5c1cad4c931181f","request_id":"req_5d01eefc435a49bd8c72917dce0ff33d","sent_at":"2026-10-05T05:51:58.287465+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-reconcile","trial_id":"e90a735a946c749b34bd0c45e928146c9aa98da63e425054da556d579a58a9f3","usage":{"input_tokens":402,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":103,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":505}},{"answer":"def solve(data):\n    banned = {\"password\", \"token\", \"secret\"}\n\n    def clean(x):\n        if isinstance(x, dict):\n            result = {}\n            for k, v in x.items():\n                if isinstance(k, str) and k.lower() in banned:\n                    continue\n                result[k] = clean(v)\n            return result\n        if isinstance(x, list):\n            return [clean(i) for i in x]\n        return x\n\n    return clean(data)","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002588,"finished_at":"2026-10-05T05:42:48.244942+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"5fe2879269711526d2a2b021b2812953952522fa10952716f0dd5df910e467d6","latency_seconds":1.703148,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is arbitrary JSON. Recursively remove dictionary keys whose lowercase spelling equals password, token or secret. Preserve other values and list order; never mutate the original.","raw_response_hash":"ac95cd620fcde22f85dddff1b2755b77b12919677341986f10b9e19d5a487dda","repetition":1,"request_hash":"4aa1e71f865e60e84c49a6b74c5c6560db0cf89d304be0397eecfcfe382acfe7","request_id":"req_011CfiZFr2fnWfzf1sCT8LGY","sent_at":"2026-10-05T05:42:46.541794+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-redact","trial_id":"0988dfd8ffd273f564762f0a7bc58c252ddbf0f2bf22c4c30c3a7baa663bf093","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":574,"output_tokens":144,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"def solve(data):\n    blocked = {\"password\", \"token\", \"secret\"}\n\n    def clean(x):\n        if isinstance(x, dict):\n            result = {}\n            for k, v in x.items():\n                if isinstance(k, str) and k.lower() in blocked:\n                    continue\n                result[k] = clean(v)\n            return result\n        if isinstance(x, list):\n            return [clean(i) for i in x]\n        return x\n\n    return clean(data)","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002608,"finished_at":"2026-10-05T05:48:17.649408+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"5fe2879269711526d2a2b021b2812953952522fa10952716f0dd5df910e467d6","latency_seconds":1.848641,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is arbitrary JSON. Recursively remove dictionary keys whose lowercase spelling equals password, token or secret. Preserve other values and list order; never mutate the original.","raw_response_hash":"1848bdaf06af005b19a8eba78d6888fb908f88a042152c0b64c53e0a3bd5ea7b","repetition":2,"request_hash":"4aa1e71f865e60e84c49a6b74c5c6560db0cf89d304be0397eecfcfe382acfe7","request_id":"req_011CfiZg81XeGFXze6TrChoz","sent_at":"2026-10-05T05:48:15.800767+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-redact","trial_id":"f393e607e70b9b38cfcba94aad235c1448b508be844c93acd9372a8ae73238bb","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":574,"output_tokens":146,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"import json\n\ndef solve(data):\n    banned = {\"password\", \"token\", \"secret\"}\n\n    def clean(x):\n        if isinstance(x, dict):\n            result = {}\n            for k, v in x.items():\n                if isinstance(k, str) and k.lower() in banned:\n                    continue\n                result[k] = clean(v)\n            return result\n        if isinstance(x, list):\n            return [clean(i) for i in x]\n        return x\n\n    return clean(data)","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002618,"finished_at":"2026-10-05T05:54:25.801161+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"5fe2879269711526d2a2b021b2812953952522fa10952716f0dd5df910e467d6","latency_seconds":1.951565,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is arbitrary JSON. Recursively remove dictionary keys whose lowercase spelling equals password, token or secret. Preserve other values and list order; never mutate the original.","raw_response_hash":"32b6b5e1e2d099a0797ed6c18b6cb9911b91fe960d2425bbbabf55a15029ace4","repetition":3,"request_hash":"4aa1e71f865e60e84c49a6b74c5c6560db0cf89d304be0397eecfcfe382acfe7","request_id":"req_011Cfia9FTVfemqvfPsns8X5","sent_at":"2026-10-05T05:54:23.849596+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-redact","trial_id":"ca009039667f40a8929739508812e4b732cfcf97288a6f22819b6c00787f8295","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":574,"output_tokens":147,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"def solve(data):\n    if isinstance(data, dict):\n        return {\n            k: solve(v)\n            for k, v in data.items()\n            if not (isinstance(k, str) and k.lower() in (\"password\", \"token\", \"secret\"))\n        }\n    if isinstance(data, list):\n        return [solve(item) for item in data]\n    return data","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.003612,"finished_at":"2026-10-05T05:42:52.261495+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"5fe2879269711526d2a2b021b2812953952522fa10952716f0dd5df910e467d6","latency_seconds":3.954738,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is arbitrary JSON. Recursively remove dictionary keys whose lowercase spelling equals password, token or secret. Preserve other values and list order; never mutate the original.","raw_response_hash":"6d9d230fd318f1f961b85edabbc2c592b65a64101e0bf129c4e64a41ad8351c3","repetition":1,"request_hash":"56290d06a31d874edf0e6a392e62df9e7f48762432fca98b7c89b58e773e24d9","request_id":null,"sent_at":"2026-10-05T05:42:48.306757+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-redact","trial_id":"9850e0db4dbfa9c7b99a16ac92166087f5418f14958f2767dde189ed51060afd","usage":{"candidatesTokenCount":93,"promptTokenCount":371,"promptTokensDetails":[{"modality":"TEXT","tokenCount":371}],"serviceTier":"standard","thoughtsTokenCount":796,"totalTokenCount":1260}},{"answer":"def solve(data):\n    if isinstance(data, dict):\n        return {\n            k: solve(v)\n            for k, v in data.items()\n            if not (isinstance(k, str) and k.lower() in ('password', 'token', 'secret'))\n        }\n    if isinstance(data, list):\n        return [solve(v) for v in data]\n    return data","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.004194,"finished_at":"2026-10-05T05:48:22.324084+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"5fe2879269711526d2a2b021b2812953952522fa10952716f0dd5df910e467d6","latency_seconds":4.613785,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is arbitrary JSON. Recursively remove dictionary keys whose lowercase spelling equals password, token or secret. Preserve other values and list order; never mutate the original.","raw_response_hash":"6c1670f237a23f65453915cc1cf3d1ae46fff7d74c844b29c6c61825907c1ddd","repetition":2,"request_hash":"56290d06a31d874edf0e6a392e62df9e7f48762432fca98b7c89b58e773e24d9","request_id":null,"sent_at":"2026-10-05T05:48:17.710299+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-redact","trial_id":"ed52dc4d51c62738b910a7bf27c6fa6fb80ec98a11e2649b9c5bd5bb6c548bb3","usage":{"candidatesTokenCount":93,"promptTokenCount":371,"promptTokensDetails":[{"modality":"TEXT","tokenCount":371}],"serviceTier":"standard","thoughtsTokenCount":951,"totalTokenCount":1415}},{"answer":"def solve(data):\n    if isinstance(data, dict):\n        return {\n            k: solve(v)\n            for k, v in data.items()\n            if not (isinstance(k, str) and k.lower() in ('password', 'token', 'secret'))\n        }\n    if isinstance(data, list):\n        return [solve(item) for item in data]\n    return data","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.003582,"finished_at":"2026-10-05T05:54:20.858454+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"5fe2879269711526d2a2b021b2812953952522fa10952716f0dd5df910e467d6","latency_seconds":4.370863,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is arbitrary JSON. Recursively remove dictionary keys whose lowercase spelling equals password, token or secret. Preserve other values and list order; never mutate the original.","raw_response_hash":"457cd856e850db57cc759c69d60bd2c7759015d567cb619ca03a81619d5d7e96","repetition":3,"request_hash":"56290d06a31d874edf0e6a392e62df9e7f48762432fca98b7c89b58e773e24d9","request_id":null,"sent_at":"2026-10-05T05:54:16.487591+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-redact","trial_id":"4e535a50e65ece0c87284544b00d3aaa44e00c0972946824b8ce82a696bf3b58","usage":{"candidatesTokenCount":93,"promptTokenCount":371,"promptTokensDetails":[{"modality":"TEXT","tokenCount":371}],"serviceTier":"standard","thoughtsTokenCount":788,"totalTokenCount":1252}},{"answer":"def solve(data):\n    if isinstance(data, dict):\n        return {\n            key: solve(value)\n            for key, value in data.items()\n            if key.lower() not in (\"password\", \"token\", \"secret\")\n        }\n    if isinstance(data, list):\n        return [solve(value) for value in data]\n    return data","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.001464,"finished_at":"2026-10-05T05:42:46.456076+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"5fe2879269711526d2a2b021b2812953952522fa10952716f0dd5df910e467d6","latency_seconds":2.26075,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is arbitrary JSON. Recursively remove dictionary keys whose lowercase spelling equals password, token or secret. Preserve other values and list order; never mutate the original.","raw_response_hash":"fe87bc2b308c0a0d8287734ad223124d1b1f8ab6cc3c90a1591ffdb7be77259a","repetition":1,"request_hash":"4e5c1bc7d236827ce49c9a2a89ebece4292bfb74cbea7823976745bd18192acc","request_id":"req_c7a1a9aa3c904c93b7cd5073f192156b","sent_at":"2026-10-05T05:42:44.195326+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-redact","trial_id":"7ed7483f4d08f94d01db890128b0247ad71a9dc1248eac1ab69a97cc780c4b32","usage":{"input_tokens":372,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":72,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":444}},{"answer":"def solve(data):\n    if isinstance(data, dict):\n        return {\n            key: solve(value)\n            for key, value in data.items()\n            if key.lower() not in (\"password\", \"token\", \"secret\")\n        }\n    if isinstance(data, list):\n        return [solve(value) for value in data]\n    return data","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.001464,"finished_at":"2026-10-05T05:48:24.276306+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"5fe2879269711526d2a2b021b2812953952522fa10952716f0dd5df910e467d6","latency_seconds":1.899957,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is arbitrary JSON. Recursively remove dictionary keys whose lowercase spelling equals password, token or secret. Preserve other values and list order; never mutate the original.","raw_response_hash":"78188a2a1b2719f69e84693d0e6c018ce1c1999a73c85ca9bf960937216a984e","repetition":2,"request_hash":"4e5c1bc7d236827ce49c9a2a89ebece4292bfb74cbea7823976745bd18192acc","request_id":"req_0f5fe8b664f54a8ea63b94b0e45a7582","sent_at":"2026-10-05T05:48:22.376349+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-redact","trial_id":"98bd6244f96ed4efcc075ac2029a049c3e23444d9fad2d380f12e5cb8874f0b6","usage":{"input_tokens":372,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":72,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":444}},{"answer":"def solve(data):\n    if isinstance(data, dict):\n        return {\n            key: solve(value)\n            for key, value in data.items()\n            if key.lower() not in (\"password\", \"token\", \"secret\")\n        }\n    if isinstance(data, list):\n        return [solve(value) for value in data]\n    return data","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.001464,"finished_at":"2026-10-05T05:54:23.793169+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"5fe2879269711526d2a2b021b2812953952522fa10952716f0dd5df910e467d6","latency_seconds":2.871733,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is arbitrary JSON. Recursively remove dictionary keys whose lowercase spelling equals password, token or secret. Preserve other values and list order; never mutate the original.","raw_response_hash":"200a8ae0a531f9170d4945d617a4399d4fd89e39ca24e42fa566a971da3baf07","repetition":3,"request_hash":"4e5c1bc7d236827ce49c9a2a89ebece4292bfb74cbea7823976745bd18192acc","request_id":"req_3c7ac93e940e407cb6e16938d7b31dd0","sent_at":"2026-10-05T05:54:20.921436+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-redact","trial_id":"170958da0330a0373ffcb4d63e002202a734934530de7ffa1d06697f2f8ff7a0","usage":{"input_tokens":372,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":72,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":444}},{"answer":"The approach is to aggregate the counts per day, sort the distinct days, and build prefix sums. Each query then needs two binary searches, because `bisect` is not an allowed import, so I wrote a small manual one.\n\nFor a query q, the answer is prefix[hi] - prefix[lo], where lo is the number of days less than q-6 and hi is the number of days less than or equal to q.\n\nNo input is mutated, and the output is a list of ints in query order. The input is a dict with keys \"events\" and \"query_days\"; I assume `data` is already a dict, not a JSON string.\n\ndef solve(data):\n    events = data.get(\"events\", [])\n    queries = data.get(\"query_days\", [])\n    agg = {}\n    for e in events:\n        d = e[0]\n        c = e[1]\n        agg[d] = agg.get(d, 0) + c\n    days = sorted(agg.keys())\n    prefix = [0]\n    for d in days:\n        prefix.append(prefix[-1] + agg[d])\n\n    def count_less(x):\n        # number of days < x\n        lo = 0\n        hi = len(days)\n        while lo < hi:\n            mid = (lo + hi) // 2\n            if days[mid] < x:\n                lo = mid + 1\n            else:\n                hi = mid\n        return lo\n\n    res = []\n    for q in queries:\n        a = count_less(q - 6)\n        b = count_less(q + 1)\n        res.append(prefix[b] - prefix[a])\n    return res","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.00597,"finished_at":"2026-10-05T05:45:37.020045+00:00","grade":{"checks":[{"case":1,"passed":false},{"case":2,"passed":false},{"case":3,"passed":false},{"case":4,"passed":false}],"passed":false,"reason":"execution_rejected"},"input_hash":"6d90993932f5f35b4118b5f7ebe1ddae6ba6f7a3bef4a5460375483928cd217c","latency_seconds":3.82632,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {events:[[day,count],...], query_days:[integer,...]}. Return totals for each query day covering inclusive days q-6 through q. Events can be unsorted, repeated or negative-day; count is nonnegative. Query order must be preserved. Days, query days and counts are integers.","raw_response_hash":"3d5f5be1da4bfefc09758b96d284e3e887ff84c5be458e7bc4f8413dcf254b62","repetition":1,"request_hash":"df87a9ecc0796a54352c5da1b9d90d7ee6fd19ebb2ad7f504d0b838b95f8e6a4","request_id":"req_011CfiZU8cee5oPXVLbPTihz","sent_at":"2026-10-05T05:45:33.193725+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-rolling","trial_id":"af094cd236edfc2d15361040b03669fe33c56a134b65cec51c73f5d14bdfc155","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":610,"output_tokens":475,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"The approach is to aggregate the counts per day, sort the distinct days, and build prefix sums. Each query then needs two binary searches, since `bisect` is not available and I write them by hand.\n\nFor a query q, the total is the sum of counts over days in [q-6, q]. That equals prefix(upper) - prefix(lower), where upper is the number of days <= q and lower is the number of days < q-6.\n\nThe function receives a dict, so it reads `data[\"events\"]` and `data[\"query_days\"]`. The input is not mutated.\n\n```python\nimport math\n\ndef solve(data):\n    events = data.get(\"events\", [])\n    queries = data.get(\"query_days\", [])\n    agg = {}\n    for e in events:\n        d = e[0]\n        c = e[1]\n        agg[d] = agg.get(d, 0) + c\n    days = sorted(agg.keys())\n    prefix = [0]\n    for d in days:\n        prefix.append(prefix[-1] + agg[d])\n\n    def count_le(x):\n        # number of days <= x\n        lo, hi = 0, len(days)\n        while lo < hi:\n            mid = (lo + hi) // 2\n            if days[mid] <= x:\n                lo = mid + 1\n            else:\n                hi = mid\n        return lo\n\n    res = []\n    for q in queries:\n        hi_i = count_le(q)\n        lo_i = count_le(q - 7)\n        res.append(prefix[hi_i] - prefix[lo_i])\n    return res\n```\n\nHere `count_le(q - 7)` counts days <= q-7, which is the same as days < q-6 for integers.","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.00638,"finished_at":"2026-10-05T05:46:49.855515+00:00","grade":{"checks":[{"case":1,"passed":false},{"case":2,"passed":false},{"case":3,"passed":false},{"case":4,"passed":false}],"passed":false,"reason":"execution_rejected"},"input_hash":"6d90993932f5f35b4118b5f7ebe1ddae6ba6f7a3bef4a5460375483928cd217c","latency_seconds":4.223156,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {events:[[day,count],...], query_days:[integer,...]}. Return totals for each query day covering inclusive days q-6 through q. Events can be unsorted, repeated or negative-day; count is nonnegative. Query order must be preserved. Days, query days and counts are integers.","raw_response_hash":"ed28f164eddf257ab583b5520467c3cf8a8ba82b4c636ddfb5e944631004a507","repetition":2,"request_hash":"df87a9ecc0796a54352c5da1b9d90d7ee6fd19ebb2ad7f504d0b838b95f8e6a4","request_id":"req_011CfiZZUFzCE5zK8uoGQWmQ","sent_at":"2026-10-05T05:46:45.632359+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-rolling","trial_id":"785dd595a9037983987769f73fd27fb691d4e579b3d338c57eb3cf3ed022f6c1","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":610,"output_tokens":516,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"The approach is to aggregate the counts per day, sort the distinct days, and build prefix sums. Each query is then answered with binary search over the sorted days, using a hand-written bisect since `bisect` is not an allowed import.\n\nFor each query q, the answer is prefix(upper) − prefix(lower), where `lo` is the first index with day >= q−6 and `hi` is the first index with day > q.\n\nImplementation details:\n- `data` is a dict with keys \"events\" and \"query_days\".\n- Counts are integers, so sums stay exact.\n- The input is not mutated.\n\n```python\ndef solve(data):\n    events = data.get(\"events\", [])\n    queries = data.get(\"query_days\", [])\n    agg = {}\n    for e in events:\n        d = e[0]\n        c = e[1]\n        agg[d] = agg.get(d, 0) + c\n    days = sorted(agg.keys())\n    pref = [0]\n    for d in days:\n        pref.append(pref[-1] + agg[d])\n\n    def first_ge(x):\n        lo, hi = 0, len(days)\n        while lo < hi:\n            m = (lo + hi) // 2\n            if days[m] < x:\n                lo = m + 1\n            else:\n                hi = m\n        return lo\n\n    def first_gt(x):\n        lo, hi = 0, len(days)\n        while lo < hi:\n            m = (lo + hi) // 2\n            if days[m] <= x:\n                lo = m + 1\n            else:\n                hi = m\n        return lo\n\n    res = []\n    for q in queries:\n        a = first_ge(q - 6)\n        b = first_gt(q)\n        res.append(pref[b] - pref[a])\n    return res\n```","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.00668,"finished_at":"2026-10-05T05:50:57.008077+00:00","grade":{"checks":[{"case":1,"passed":false},{"case":2,"passed":false},{"case":3,"passed":false},{"case":4,"passed":false}],"passed":false,"reason":"execution_rejected"},"input_hash":"6d90993932f5f35b4118b5f7ebe1ddae6ba6f7a3bef4a5460375483928cd217c","latency_seconds":4.151904,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {events:[[day,count],...], query_days:[integer,...]}. Return totals for each query day covering inclusive days q-6 through q. Events can be unsorted, repeated or negative-day; count is nonnegative. Query order must be preserved. Days, query days and counts are integers.","raw_response_hash":"49da951abe7129ce671aa4119c0c34ca2db1f0ee652a8c85ba50bd52bbb17c9f","repetition":3,"request_hash":"df87a9ecc0796a54352c5da1b9d90d7ee6fd19ebb2ad7f504d0b838b95f8e6a4","request_id":"req_011CfiZshCs1QU8U6TkUk47o","sent_at":"2026-10-05T05:50:52.856173+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-rolling","trial_id":"662d3c4828cf48175f9bad1c7943ed004fb62f3fdb91f0d0d7247a2d27d6f8d4","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":610,"output_tokens":546,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"from collections import defaultdict\n\ndef solve(data):\n    events = data.get(\"events\", [])\n    query_days = data.get(\"query_days\", [])\n\n    day_counts = defaultdict(int)\n    for day, count in events:\n        day_counts[day] += count\n\n    sorted_days = sorted(day_counts.keys())\n    prefix = [0]\n    for d in sorted_days:\n        prefix.append(prefix[-1] + day_counts[d])\n\n    def b_left(a, x):\n        lo = 0\n        hi = len(a)\n        while lo < hi:\n            mid = (lo + hi) // 2\n            if a[mid] < x:\n                lo = mid + 1\n            else:\n                hi = mid\n        return lo\n\n    def b_right(a, x):\n        lo = 0\n        hi = len(a)\n        while lo < hi:\n            mid = (lo + hi) // 2\n            if x < a[mid]:\n                hi = mid\n            else:\n                lo = mid + 1\n        return lo\n\n    ans = []\n    for q in query_days:\n        l = b_left(sorted_days, q - 6)\n        r = b_right(sorted_days, q)\n        ans.append(prefix[r] - prefix[l])\n\n    return ans","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.007533,"finished_at":"2026-10-05T05:45:43.280652+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"6d90993932f5f35b4118b5f7ebe1ddae6ba6f7a3bef4a5460375483928cd217c","latency_seconds":6.19785,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {events:[[day,count],...], query_days:[integer,...]}. Return totals for each query day covering inclusive days q-6 through q. Events can be unsorted, repeated or negative-day; count is nonnegative. Query order must be preserved. Days, query days and counts are integers.","raw_response_hash":"52fcb137061e28d2b1426e6bbe5596a424850698e7ca2ae326538e1515cdfd02","repetition":1,"request_hash":"70787b9f2db033e5fb7cc46d833f8d8dc43178f4f17b1833a64b9e2116f03c63","request_id":null,"sent_at":"2026-10-05T05:45:37.082802+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-rolling","trial_id":"d2402f4d94d135e1ffa7ab144a579920a71c1beebac6a39bee03f643b5192b96","usage":{"candidatesTokenCount":325,"promptTokenCount":404,"promptTokensDetails":[{"modality":"TEXT","tokenCount":404}],"serviceTier":"standard","thoughtsTokenCount":1603,"totalTokenCount":2332}},{"answer":"from collections import defaultdict\n\ndef solve(data):\n    events = data.get(\"events\", [])\n    query_days = data.get(\"query_days\", [])\n    \n    day_counts = defaultdict(int)\n    for day, count in events:\n        day_counts[day] += count\n        \n    result = []\n    for q in query_days:\n        total = sum(day_counts[d] for d in range(q - 6, q + 1))\n        result.append(total)\n        \n    return result","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.0027,"finished_at":"2026-10-05T05:46:52.762328+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"6d90993932f5f35b4118b5f7ebe1ddae6ba6f7a3bef4a5460375483928cd217c","latency_seconds":2.855772,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {events:[[day,count],...], query_days:[integer,...]}. Return totals for each query day covering inclusive days q-6 through q. Events can be unsorted, repeated or negative-day; count is nonnegative. Query order must be preserved. Days, query days and counts are integers.","raw_response_hash":"c14a523cfae66df8cb800c4593f14c07a10a8a5367e288055455a70a304ba1c5","repetition":2,"request_hash":"70787b9f2db033e5fb7cc46d833f8d8dc43178f4f17b1833a64b9e2116f03c63","request_id":null,"sent_at":"2026-10-05T05:46:49.906556+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-rolling","trial_id":"aa0301d81e3372d24e5fc36c693c253f5a4e304333a4918f09df8622b935ace7","usage":{"candidatesTokenCount":124,"promptTokenCount":404,"promptTokensDetails":[{"modality":"TEXT","tokenCount":404}],"serviceTier":"standard","thoughtsTokenCount":515,"totalTokenCount":1043}},{"answer":"from collections import defaultdict\n\ndef solve(data):\n    events = data.get(\"events\", [])\n    query_days = data.get(\"query_days\", [])\n    day_counts = defaultdict(int)\n    for day, count in events:\n        day_counts[day] += count\n    return [\n        sum(day_counts.get(d, 0) for d in range(q - 6, q + 1))\n        for q in query_days\n    ]","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.004995,"finished_at":"2026-10-05T05:50:49.181567+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"6d90993932f5f35b4118b5f7ebe1ddae6ba6f7a3bef4a5460375483928cd217c","latency_seconds":4.82647,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {events:[[day,count],...], query_days:[integer,...]}. Return totals for each query day covering inclusive days q-6 through q. Events can be unsorted, repeated or negative-day; count is nonnegative. Query order must be preserved. Days, query days and counts are integers.","raw_response_hash":"bc333f279200949deb87ca75561c60d744b9ec2f293e0d92c93eff465186ae57","repetition":3,"request_hash":"70787b9f2db033e5fb7cc46d833f8d8dc43178f4f17b1833a64b9e2116f03c63","request_id":null,"sent_at":"2026-10-05T05:50:44.355097+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-rolling","trial_id":"1f68fc23813bf8990fd3918b9e16a5e952267ca22a44bc941d74bd6ceae03127","usage":{"candidatesTokenCount":110,"promptTokenCount":404,"promptTokensDetails":[{"modality":"TEXT","tokenCount":404}],"serviceTier":"standard","thoughtsTokenCount":1141,"totalTokenCount":1655}},{"answer":"def solve(data):\n    events = sorted(data[\"events\"])\n    prefix = [0]\n    days = []\n    for day, count in events:\n        days.append(day)\n        prefix.append(prefix[-1] + count)\n\n    def upper_bound(value):\n        lo, hi = 0, len(days)\n        while lo < hi:\n            mid = (lo + hi) // 2\n            if days[mid] <= value:\n                lo = mid + 1\n            else:\n                hi = mid\n        return lo\n\n    return [\n        prefix[upper_bound(q)] - prefix[upper_bound(q - 7)]\n        for q in data[\"query_days\"]\n    ]","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002236,"finished_at":"2026-10-05T05:45:33.123620+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"6d90993932f5f35b4118b5f7ebe1ddae6ba6f7a3bef4a5460375483928cd217c","latency_seconds":3.541201,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {events:[[day,count],...], query_days:[integer,...]}. Return totals for each query day covering inclusive days q-6 through q. Events can be unsorted, repeated or negative-day; count is nonnegative. Query order must be preserved. Days, query days and counts are integers.","raw_response_hash":"01016485ff53eab19a63a9d40f267e9e84f859fafbbe06a8d139deaa863cf210","repetition":1,"request_hash":"447bdd389b66a674d327c8b72961e89ce5bfd53fea53e00d487d373bf8ee89af","request_id":"req_96c7101eef014ad0ae6bf96bad7326ba","sent_at":"2026-10-05T05:45:29.582419+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-rolling","trial_id":"38045298f05bb74666e224ea8b659d4f7a7ec96a060587e66d0349ae53525532","usage":{"input_tokens":403,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":143,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":546}},{"answer":"def solve(data):\n    events = sorted(data[\"events\"])\n    queries = sorted((day, i) for i, day in enumerate(data[\"query_days\"]))\n    result = [0] * len(queries)\n    left = 0\n    right = 0\n    total = 0\n    n = len(events)\n\n    for day, index in queries:\n        while right < n and events[right][0] <= day:\n            total += events[right][1]\n            right += 1\n\n        start = day - 6\n        while left < right and events[left][0] < start:\n            total -= events[left][1]\n            left += 1\n\n        result[index] = total\n\n    return result","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.004096,"finished_at":"2026-10-05T05:47:02.009936+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"6d90993932f5f35b4118b5f7ebe1ddae6ba6f7a3bef4a5460375483928cd217c","latency_seconds":9.164501,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {events:[[day,count],...], query_days:[integer,...]}. Return totals for each query day covering inclusive days q-6 through q. Events can be unsorted, repeated or negative-day; count is nonnegative. Query order must be preserved. Days, query days and counts are integers.","raw_response_hash":"48b5f3d6fbe97b7e589422774cc3a88c9ce19e6792a10c1e07ddea457d429019","repetition":2,"request_hash":"447bdd389b66a674d327c8b72961e89ce5bfd53fea53e00d487d373bf8ee89af","request_id":"req_c2cd70fb93664c10a7ad8179b37232cc","sent_at":"2026-10-05T05:46:52.845435+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-rolling","trial_id":"98834dd6f1d7d18318f5f3c2b141f61381ff048f12668ef6a56eea989b488f46","usage":{"input_tokens":403,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":329,"output_tokens_details":{"reasoning_tokens":174},"total_tokens":732}},{"answer":"def solve(data):\n    events = sorted(data[\"events\"])\n    queries = sorted(enumerate(data[\"query_days\"]), key=lambda item: item[1])\n    results = [0] * len(queries)\n    left = 0\n    right = 0\n    total = 0\n\n    for index, day in queries:\n        while right < len(events) and events[right][0] <= day:\n            total += events[right][1]\n            right += 1\n        while left < right and events[left][0] < day - 6:\n            total -= events[left][1]\n            left += 1\n        results[index] = total\n\n    return results","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002246,"finished_at":"2026-10-05T05:50:52.785459+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"6d90993932f5f35b4118b5f7ebe1ddae6ba6f7a3bef4a5460375483928cd217c","latency_seconds":3.54174,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is {events:[[day,count],...], query_days:[integer,...]}. Return totals for each query day covering inclusive days q-6 through q. Events can be unsorted, repeated or negative-day; count is nonnegative. Query order must be preserved. Days, query days and counts are integers.","raw_response_hash":"457c573b372e2e0e63c74937da686fe1e469234b7c1be4af23243138c702bf3f","repetition":3,"request_hash":"447bdd389b66a674d327c8b72961e89ce5bfd53fea53e00d487d373bf8ee89af","request_id":"req_0bcc89c139be4f95acc21dd3ae99778f","sent_at":"2026-10-05T05:50:49.243719+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-rolling","trial_id":"7aace65d85ef1d431b8a243c949683d7699911ecced2f2e7128fcf89c2641f98","usage":{"input_tokens":403,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":144,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":547}},{"answer":"The approach is to normalize the input to NFKD, drop combining marks, lowercase it, then turn every run of characters outside a-z and 0-9 into a single hyphen and strip hyphens from the ends.\n\nLowercasing after NFKD is safe. A few characters, such as \"İ\", decompose into \"I\" plus a combining dot, so the combining mark is dropped and \"i\" remains. Lowercasing a string can also produce new combining characters, so I lowercase first and then remove combining marks.\n\nTo be safe I do the steps in this order:\n1. Normalize with NFKD.\n2. Lowercase.\n3. Drop combining marks.\n4. Replace runs of non-[a-z0-9] characters with a hyphen.\n5. Strip hyphens from the edges.\n\nA character that lowercases to several characters, like \"İ\" becoming \"i̇\", is handled by the combining-mark removal in step 3. Because the regex matches only ASCII a-z and digits, anything non-ASCII is replaced. Dropped combining marks are removed outright and do not produce a hyphen.\n\n```python\nimport unicodedata\nimport re\n\ndef solve(data):\n    s = unicodedata.normalize('NFKD', data)\n    s = s.lower()\n    s = ''.join(c for c in s if not unicodedata.combining(c))\n    s = re.sub(r'[^a-z0-9]+', '-', s)\n    return s.strip('-')\n```","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.005854,"finished_at":"2026-10-05T05:45:17.193281+00:00","grade":{"checks":[{"case":1,"passed":false},{"case":2,"passed":false},{"case":3,"passed":false},{"case":4,"passed":false},{"case":5,"passed":false},{"case":6,"passed":false}],"passed":false,"reason":"execution_rejected"},"input_hash":"0db7e277739efc0c22996e54593a845e7f226fb9e1655058d7aad651f513eea4","latency_seconds":5.209392,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a string. Apply Unicode NFKD normalization, drop combining marks, lowercase, retain only ASCII a-z and digits, replace each run of other characters with one hyphen, strip edge hyphens. Return the slug.","raw_response_hash":"febcfb8b09fedc5409c24efd15e393e0d68ae2f27110374054ea9076d37635b6","repetition":1,"request_hash":"1cce317d50b70c10b5ca2f62ff8273e202e3551e3ab8967f8a3fe5c2ea1be9e4","request_id":"req_011CfiZSZu86g3WJ9861rC4q","sent_at":"2026-10-05T05:45:11.983889+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-slug","trial_id":"09d8b6efaa28f3dc7c9b8a466f621dd48e23cddda41bd81a7a08b4cc3c0bc270","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":592,"output_tokens":467,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"import unicodedata\nimport re\n\ndef solve(data):\n    s = unicodedata.normalize(\"NFKD\", data)\n    s = \"\".join(c for c in s if not unicodedata.combining(c))\n    s = s.lower()\n    s = re.sub(r\"[^a-z0-9]+\", \"-\", s)\n    return s.strip(\"-\")","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002294,"finished_at":"2026-10-05T05:47:30.703131+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"0db7e277739efc0c22996e54593a845e7f226fb9e1655058d7aad651f513eea4","latency_seconds":1.369497,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a string. Apply Unicode NFKD normalization, drop combining marks, lowercase, retain only ASCII a-z and digits, replace each run of other characters with one hyphen, strip edge hyphens. Return the slug.","raw_response_hash":"f8d37b8c40cd934afb10cab148c51df4fc532ebf6ad82f03d4343d9a5038b23a","repetition":2,"request_hash":"1cce317d50b70c10b5ca2f62ff8273e202e3551e3ab8967f8a3fe5c2ea1be9e4","request_id":"req_011CfiZch4kK4pahsLSmJr5E","sent_at":"2026-10-05T05:47:29.333634+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-slug","trial_id":"a34006eca6c86b00a6d03bf300c0dc6a786d42582709ab127f427384a4ff9aff","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":592,"output_tokens":111,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"import unicodedata\n\ndef solve(data):\n    s = unicodedata.normalize(\"NFKD\", data)\n    s = \"\".join(c for c in s if not unicodedata.combining(c))\n    s = s.lower()\n    out = []\n    pending = False\n    for c in s:\n        if (\"a\" <= c <= \"z\") or (\"0\" <= c <= \"9\"):\n            if pending and out:\n                out.append(\"-\")\n            pending = False\n            out.append(c)\n        else:\n            pending = True\n    return \"\".join(out)","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.002854,"finished_at":"2026-10-05T05:53:40.086091+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"0db7e277739efc0c22996e54593a845e7f226fb9e1655058d7aad651f513eea4","latency_seconds":2.903367,"model_id":"claude-sonnet-5-5","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a string. Apply Unicode NFKD normalization, drop combining marks, lowercase, retain only ASCII a-z and digits, replace each run of other characters with one hyphen, strip edge hyphens. Return the slug.","raw_response_hash":"a43118a728bc790333f4cd8dba20ebf751c8b3cdadf465f1e57833094d29946b","repetition":3,"request_hash":"1cce317d50b70c10b5ca2f62ff8273e202e3551e3ab8967f8a3fe5c2ea1be9e4","request_id":"req_011Cfia5okqPzZBwJvj3j7ak","sent_at":"2026-10-05T05:53:37.182724+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Claude direct API, Standard global"},"state":"responded","task_id":"coding-slug","trial_id":"dd8b85329aca3ee4b7a3a9397890e99d69d13bb558457395c3c0cf89d4c7cf4b","usage":{"cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":0},"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"inference_geo":"global","input_tokens":592,"output_tokens":167,"output_tokens_details":{"thinking_tokens":0},"service_tier":"standard"}},{"answer":"import unicodedata\nimport re\n\ndef solve(data):\n    normalized = unicodedata.normalize('NFKD', data)\n    without_combining = ''.join(c for c in normalized if not unicodedata.combining(c))\n    lowered = without_combining.lower()\n    hyphenated = re.sub(r'[^a-z0-9]+', '-', lowered)\n    return hyphenated.strip('-')","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.003018,"finished_at":"2026-10-05T05:45:20.389474+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"0db7e277739efc0c22996e54593a845e7f226fb9e1655058d7aad651f513eea4","latency_seconds":3.112147,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a string. Apply Unicode NFKD normalization, drop combining marks, lowercase, retain only ASCII a-z and digits, replace each run of other characters with one hyphen, strip edge hyphens. Return the slug.","raw_response_hash":"6d74246d013fc7d2e2237b68b9cec7b03bc76c1932366cc254c0346124b37042","repetition":1,"request_hash":"e97e391942dfabb27183131eb4adae763bd7ed35f03bed018916548f6e35cc98","request_id":null,"sent_at":"2026-10-05T05:45:17.277327+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-slug","trial_id":"48c53a113569eba77c2ca74195a5d66a799989767014a486e8eba581962eedf1","usage":{"candidatesTokenCount":99,"promptTokenCount":384,"promptTokensDetails":[{"modality":"TEXT","tokenCount":384}],"serviceTier":"standard","thoughtsTokenCount":629,"totalTokenCount":1112}},{"answer":"import re\nimport unicodedata\n\ndef solve(data):\n    normalized = unicodedata.normalize('NFKD', data)\n    no_combining = ''.join(c for c in normalized if not unicodedata.combining(c))\n    lowered = no_combining.lower()\n    slug = re.sub(r'[^a-z0-9]+', '-', lowered)\n    return slug.strip('-')","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.003555,"finished_at":"2026-10-05T05:47:34.260101+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"0db7e277739efc0c22996e54593a845e7f226fb9e1655058d7aad651f513eea4","latency_seconds":3.495005,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a string. Apply Unicode NFKD normalization, drop combining marks, lowercase, retain only ASCII a-z and digits, replace each run of other characters with one hyphen, strip edge hyphens. Return the slug.","raw_response_hash":"7b7ac7c1628b600ec4f3f003968a1cec5cda662348f2d3b72336c3822d2207c3","repetition":2,"request_hash":"e97e391942dfabb27183131eb4adae763bd7ed35f03bed018916548f6e35cc98","request_id":null,"sent_at":"2026-10-05T05:47:30.765096+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-slug","trial_id":"aeca54ff26416de664ea14350a466ffbf4033da776989420a571f4cb66fb4cf4","usage":{"candidatesTokenCount":96,"promptTokenCount":384,"promptTokensDetails":[{"modality":"TEXT","tokenCount":384}],"serviceTier":"standard","thoughtsTokenCount":775,"totalTokenCount":1255}},{"answer":"import re\nimport unicodedata\n\ndef solve(data):\n    normalized = unicodedata.normalize('NFKD', data)\n    no_combining = ''.join(c for c in normalized if not unicodedata.combining(c))\n    lowered = no_combining.lower()\n    return re.sub(r'[^a-z0-9]+', '-', lowered).strip('-')","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.004968,"finished_at":"2026-10-05T05:53:33.843069+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"0db7e277739efc0c22996e54593a845e7f226fb9e1655058d7aad651f513eea4","latency_seconds":5.548551,"model_id":"gemini-3.8-flash","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a string. Apply Unicode NFKD normalization, drop combining marks, lowercase, retain only ASCII a-z and digits, replace each run of other characters with one hyphen, strip edge hyphens. Return the slug.","raw_response_hash":"0bca434544395548eddfc85ca41adc092b65f2f0c994166067974fd0e3ef72c8","repetition":3,"request_hash":"e97e391942dfabb27183131eb4adae763bd7ed35f03bed018916548f6e35cc98","request_id":null,"sent_at":"2026-10-05T05:53:28.294518+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"Gemini Developer API, paid Standard"},"state":"responded","task_id":"coding-slug","trial_id":"2278859556269d1e58a8c0cce2b9d20f32907808d850731a26278321562c0e91","usage":{"candidatesTokenCount":90,"promptTokenCount":384,"promptTokensDetails":[{"modality":"TEXT","tokenCount":384}],"serviceTier":"standard","thoughtsTokenCount":1158,"totalTokenCount":1632}},{"answer":"import unicodedata\nimport re\n\ndef solve(data):\n    normalized = unicodedata.normalize(\"NFKD\", data)\n    text = \"\".join(c for c in normalized if not unicodedata.combining(c)).lower()\n    return re.sub(\"[^a-z0-9]+\", \"-\", text).strip(\"-\")","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.001484,"finished_at":"2026-10-05T05:45:11.909845+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"0db7e277739efc0c22996e54593a845e7f226fb9e1655058d7aad651f513eea4","latency_seconds":3.731645,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a string. Apply Unicode NFKD normalization, drop combining marks, lowercase, retain only ASCII a-z and digits, replace each run of other characters with one hyphen, strip edge hyphens. Return the slug.","raw_response_hash":"9c166126cda1f0fef1ece6256d2ebffa2a6a854cf3843e7546b39127a7922350","repetition":1,"request_hash":"8bd13eab0d6429760adea41b53c7d6755c9a108c44c1fdce7827e144955adba4","request_id":"req_f90682d62dfb415391159c3705367374","sent_at":"2026-10-05T05:45:08.178200+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-slug","trial_id":"f375394b2c6ce425d931a93389123f35ae3c54f740a7c936b11fb44d83fd8c1b","usage":{"input_tokens":387,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":71,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":458}},{"answer":"import unicodedata\nimport re\n\ndef solve(data):\n    normalized = unicodedata.normalize(\"NFKD\", data)\n    text = \"\".join(char for char in normalized if not unicodedata.combining(char)).lower()\n    return re.sub(\"[^a-z0-9]+\", \"-\", text).strip(\"-\")","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.001484,"finished_at":"2026-10-05T05:47:39.276883+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"0db7e277739efc0c22996e54593a845e7f226fb9e1655058d7aad651f513eea4","latency_seconds":4.946887,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a string. Apply Unicode NFKD normalization, drop combining marks, lowercase, retain only ASCII a-z and digits, replace each run of other characters with one hyphen, strip edge hyphens. Return the slug.","raw_response_hash":"e7a06e9ecab4745318aeb619f856d521ac06e43745b59200be55c2311d954eaf","repetition":2,"request_hash":"8bd13eab0d6429760adea41b53c7d6755c9a108c44c1fdce7827e144955adba4","request_id":"req_8c3f1a7b618e4e16a706a66a694dad19","sent_at":"2026-10-05T05:47:34.329996+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-slug","trial_id":"50ea59ed54fbdaffc2d85ba9f44181f37ba0f3dfb3afe91525e8c02779a2cda4","usage":{"input_tokens":387,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":71,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":458}},{"answer":"import unicodedata\nimport re\n\ndef solve(data):\n    normalized = unicodedata.normalize(\"NFKD\", data)\n    text = \"\".join(c for c in normalized if not unicodedata.combining(c)).lower()\n    return re.sub(\"[^a-z0-9]+\", \"-\", text).strip(\"-\")","billed_net_usd":null,"enabled_tools":[],"estimated_net_usd":0.001484,"finished_at":"2026-10-05T05:53:37.115699+00:00","grade":{"checks":[{"case":1,"passed":true},{"case":2,"passed":true},{"case":3,"passed":true},{"case":4,"passed":true},{"case":5,"passed":true},{"case":6,"passed":true}],"passed":true,"reason":"checked"},"input_hash":"0db7e277739efc0c22996e54593a845e7f226fb9e1655058d7aad651f513eea4","latency_seconds":3.185902,"model_id":"gpt-6.1-sol","output_cap_reached":false,"prompt":"Implement solve(data) in Python 3.9. Allowed imports are restricted module facades: math (public members); json (loads, dumps); csv (reader, DictReader); io (StringIO); re (compile, match, search, fullmatch, findall, finditer, split, sub, escape, IGNORECASE, MULTILINE, DOTALL, ASCII); collections (deque, defaultdict, Counter); heapq (heappush, heappop, heapify); unicodedata (normalize, combining, category). Other module members are unavailable. Use functions and only these safe built-ins: abs, all, any, bool, bytes, dict, divmod, enumerate, filter, float, frozenset, int, isinstance, len, list, map, max, min, next, ord, chr, pow, range, reversed, round, set, sorted, str, sum, tuple, zip, Exception, ValueError, TypeError, KeyError, IndexError, StopIteration. Import listed modules before referencing them. No custom classes, private/dunder attributes, globals/nonlocals, with statements, or async. Return only Python code, with no Markdown. Do not read files, use the network, run processes or access system state. Do not mutate any input, including nested containers. Return JSON-serializable values; Python None represents JSON null. Numeric strings and booleans are not accepted as numeric answers. Integer results are compared exactly; floating results use absolute tolerance 0.000001 or relative tolerance 0.00000001. Inputs follow the declared schema; no unspecified input validation is required. Input is a string. Apply Unicode NFKD normalization, drop combining marks, lowercase, retain only ASCII a-z and digits, replace each run of other characters with one hyphen, strip edge hyphens. Return the slug.","raw_response_hash":"87120cf5b0988920eb336c9727145da93f47c62cccde24c827478b02cea226db","repetition":3,"request_hash":"8bd13eab0d6429760adea41b53c7d6755c9a108c44c1fdce7827e144955adba4","request_id":"req_55bb1d53ac394459bfa7e83737a65af6","sent_at":"2026-10-05T05:53:33.929797+00:00","settings":{"effort":"medium","max_output_tokens":8192,"surface":"OpenAI direct API, Standard global"},"state":"responded","task_id":"coding-slug","trial_id":"a3f9f55078df05f19a4f40ce82d58a18a14fde89a37bc0bb9ff87f663a967662","usage":{"input_tokens":387,"input_tokens_details":{"cache_write_tokens":0,"cached_tokens":0},"output_tokens":71,"output_tokens_details":{"reasoning_tokens":0},"total_tokens":458}}]}