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Record f61938b5d926401e86184a86d296eb83

ERROR

Verdict and provenance first; raw prompt/response/reasoning below, collapsed.

✕ERRORlength · model Gemma 4 31B QAT

finish_reason: length · tokens in/out: 26286/18150 · cost: $0.008074 · latency: 693006.6 ms

repo_fixtemplatelength

verifier_detail: kind=repo_fix;campaign=1;protocol=text;outcome=cap_hit;detail=cap_hit;bug=wrong_index;bug_module=taxes;edited=-;turns=7;protocol_version=2;result_rendering=text;calls_per_turn=1;text_stop=1;skipped_calls=0;max_tokens=6000;n_calls=6;n_reads=5;n_searches=0;n_neighbors=0;n_edits=0;n_test_runs=1;edit_nomatch=0;edit_nonunique=0;whole_file_rewrite=0;test_edit_attempts=0;unknown_tool=0;n_errors=0;calls_to_first_cause_read=3;files_read=4;files_read_on_path=2;ran_tests_after_last_edit=0;context_window=32768;wall_s=693

lineage: f61938b5

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Prompt 368 chars · 26,286 tokens in
The test suite currently fails:

tests/test_scheduling.py::test_solve_1 FAILED
    assert solve([-8, 14], 9) == 1435
    AssertionError: solve([-8, 14], 9) returned 1457
tests/test_scheduling.py::test_solve_2 PASSED
tests/test_scheduling.py::test_solve_3 PASSED
1 failed, 2 passed

Repository files:
ingest.py
metrics.py
scheduling.py
taxes.py
tests/test_scheduling.py
Response 18,150 tokens out · finish: length
{"steps": [{"step": 1, "tool": "run_tests", "args": {}, "ok": true, "kind": null, "output": "tests/test_scheduling.py::test_solve_1 FAILED\n    assert solve([-8, 14], 9) == 1435\n    AssertionError: solve([-8, 14], 9) returned 1457\ntests/test_scheduling.py::test_solve_2 PASSED\ntests/test_scheduling.py::test_solve_3 PASSED\n1 failed, 2 passed"}, {"step": 2, "tool": "read_file", "args": {"path": "scheduling.py"}, "ok": true, "kind": null, "output": "   1  from taxes import aggregate_discount\n   2  from taxes import score_penalty\n   3  \n   4  \n   5  def solve(parts, margin):\n   6      offset = 2\n   7      count = 3\n   8      quota = margin + 7\n   9      quota = quota + margin * 2\n  10      scores = [5, 0, 4]\n  11      items = scores\n  12      items += [18]\n  13      items = items + [23]\n  14      queue = scores[:]\n  15      queue.append(32)\n  16      offset += len(scores) + scores[-1]\n  17      values = [3, 1, 5, 4, 9]\n  18      amount = 0\n  19      for x in values:\n  20          if x > margin:\n  21              amount += x\n  22          else:\n  23              amount -= 2\n  24      offset += amount\n  25      quota = quota * 2 - 1\n  26      marks = [1, 9, 2, 3, 7]\n  27      bins = marks[1:len(marks) - 1]\n  28      offset += len(bins) + bins[-1]\n  29      offset += quota\n  30      offset += count\n  31      offset += len(parts)\n  32      offset += margin\n  33      offset = offset + aggregate_discount(margin, parts[:])\n  34      offset = offset + sum(score_penalty(parts[:], margin))\n  35      return offset"}, {"step": 3, "tool": "read_file", "args": {"path": "taxes.py"}, "ok": true, "kind": null, "output": "   1  from ingest import count_margin\n   2  from metrics import summarize_weights\n   3  \n   4  \n   5  def aggregate_discount(depth, stack):\n   6      score = 1\n   7      base = 9\n   8      offset = depth + 4\n   9      offset += base\n  10      codes = [2, 2, 7]\n  11      items = codes\n  12      items += [16]\n  13      items = items + [22]\n  14      queue = codes[:]\n  15      queue.append(33)\n  16      score += len(codes) + codes[-1]\n  17      bins = [9, 8, 2, 3, 5]\n  18      factor = 0\n  19      for elem in bins:\n  20          if elem > 2:\n  21              factor += elem\n  22          else:\n  23              factor -= 3\n  24      score += factor\n  25      offset = offset + depth * 2\n  26      marks = [6, 0, 1, 5, 8]\n  27      batch = marks[1:len(marks) - 1]\n  28      score += len(batch) + batch[-1]\n  29      score += offset\n  30      score += depth * 2\n  31      score += base * 2\n  32      score += stack[-1]\n  33      score = score + sum(count_margin(depth, 'zxy'))\n  34      score = score + sum(score_penalty(stack[:], depth))\n  35      return score\n  36  \n  37  \n  38  def score_penalty(batch, total):\n  39      height = 5\n  40      parts = [3, 0, 8, 4]\n  41      budget = total + 1\n  42      budget = budget // 2\n  43      cells = [3, 6, 3]\n  44      nums = cells\n  45      nums += [14]\n  46      nums = nums + [27]\n  47      slots = cells[:]\n  48      slots.append(36)\n  49      batch.append(len(cells) + cells[-1])\n  50      scores = [5, 1, 4, 9]\n  51      offset = 0\n  52      for x in scores:\n  53          if x > total:\n  54              offset += x\n  55          else:\n  56              offset -= 1\n  57      batch.append(offset)\n  58      budget += height\n  59      queue = [9, 2, 5, 8, 3]\n  60      bins = queue[1:len(queue) - 1]\n  61      batch.append(len(bins) + bins[-1])\n  62      batch.append(budget * 2)\n  63      batch.append(height)\n  64      batch.append(parts[0])\n  65      batch.append(total * 2)\n  66      batch = batch + summarize_weights(total)\n  67      batch = batch + [combine_offset(total)]\n  68      return batch\n  69  \n  70  \n  71  def combine_offset(peak):\n  72      level = 9\n  73      codes = [1, 5, 9, 8]\n  74      width = 5\n  75      shift = level + 5\n  76      shift = shift // 2\n  77      slots = [8, 1, 4]\n  78      rows = slots\n  79      rows += [12]\n  80      rows = rows + [22]\n  81      queue = slots[:]\n  82      queue.append(30)\n  83      peak += len(slots) + slots[-1]\n  84      stack = [6, 3, 7, 4]\n  85      tally = 0\n  86      for entry in stack:\n  87          if entry > width:\n  88              tally += entry\n  89          else:\n  90              tally -= 1\n  91      peak += tally\n  92      shift += 9\n  93      parts = [5, 7, 0, 3, 1]\n  94      scores = parts[1:len(parts) - 1]\n  95      peak += len(scores) + scores[-1]\n  96      peak += shift * 2\n  97      peak += level\n  98      peak += len(codes)\n  99      peak += width\n 100      peak = peak + sum(combine_fees([-3, 6, 7]))\n 101      return peak\n 102  \n 103  \n 104  def combine_fees(nums):\n 105      parts = [3, 5, 7]\n 106      weight = 6\n 107      amount = 9\n 108      base = amount + 7\n 109      base += 8\n 110      items = [0, 8]\n 111      rows = items\n 112      rows += [17]\n 113      rows = rows + [25]\n 114      stack = items[:]\n 115      stack.append(36)\n 116      parts.append(len(items) + items[-1])\n 117      values = [6, 1, 0, 7, 9]\n 118      width = 0\n 119      for e in values:\n 120          if e > 2:\n 121              width += e\n 122          else:\n 123              width -= 3\n 124      parts.append(width)\n 125      base += weight\n 126      slots = [1, 4, 9, 2, 8]\n 127      batch = slots[1:len(slots) - 1]\n 128      parts.append(len(batch) + batch[-1])\n 129      parts.append(base)\n 130      parts.append(nums[-1])\n 131      parts.append(weight)\n 132      parts.append(amount * 2)\n 133      return parts"}, {"step": 4, "tool": "read_file", "args": {"path": "ingest.py"}, "ok": true, "kind": null, "output": "   1  from metrics import reconcile_levels\n   2  \n   3  \n   4  def count_margin(tally, tag):\n   5      codes = [3, 7, 8]\n   6      items = [1, 1]\n   7      bonus = tally + 5\n   8      bonus += tally\n   9      stack = [5, 4]\n  10      cells = stack\n  11      cells += [18]\n  12      cells = cells + [21]\n  13      rows = stack[:]\n  14      rows.append(30)\n  15      codes.append(len(stack) + stack[-1])\n  16      scores = [6, 0, 1, 2]\n  17      width = 0\n  18      for x in scores:\n  19          if x > tally:\n  20              width += x\n  21          else:\n  22              width -= 2\n  23      codes.append(width)\n  24      bonus = bonus + tally * 2\n  25      marks = [8, 4, 5, 2, 6, 3]\n  26      parts = marks[1:len(marks) - 1]\n  27      codes.append(len(parts) + parts[-1])\n  28      codes.append(bonus)\n  29      codes.append(tally)\n  30      codes.append(len(tag))\n  31      codes.append(len(items))\n  32      codes = codes + reconcile_levels(tally)\n  33      codes = codes + [aggregate_stock(tally, tag)]\n  34      return codes\n  35  \n  36  \n  37  def aggregate_stock(height, tag):\n  38      weight = 5\n  39      depth = 6\n  40      factor = depth + 6\n  41      factor = factor * 2 - 7\n  42      marks = [2, 6, 2]\n  43      codes = marks\n  44      codes += [11]\n  45      codes = codes + [21]\n  46      cells = marks[:]\n  47      cells.append(37)\n  48      weight += len(marks) + marks[-1]\n  49      values = [1, 9, 4, 8, 3]\n  50      shift = 0\n  51      for cur in values:\n  52          if cur > 7:\n  53              shift += cur\n  54          else:\n  55              shift -= 3\n  56      weight += shift\n  57      factor = factor * 2 - 2\n  58      slots = [5, 3, 6, 2, 4, 1]\n  59      stack = slots[1:len(slots) - 1]\n  60      weight += len(stack) + stack[-1]\n  61      weight += factor\n  62      weight += height * 2\n  63      weight += depth\n  64      weight += len(tag)\n  65      return weight"}, {"step": 5, "tool": "read_file", "args": {"path": "metrics.py"}, "ok": true, "kind": null, "output": "   1  def reconcile_levels(factor):\n   2      scores = [1, 0]\n   3      queue = [5, 6, 1]\n   4      token = 'mint'\n   5      depth = 8\n   6      depth = depth // 2\n   7      nums = [0, 9]\n   8      rows = nums\n   9      rows += [12]\n  10      rows = rows + [29]\n  11      parts = nums[:]\n  12      parts.append(32)\n  13      scores.append(len(nums) + nums[-1])\n  14      stack = [8, 4, 6, 7]\n  15      size = 0\n  16      for elem in stack:\n  17          if elem > 4:\n  18              size += elem\n  19          else:\n  20              size -= 2\n  21      scores.append(size)\n  22      depth += factor\n  23      slots = [2, 0, 8, 9, 7]\n  24      codes = slots[1:len(slots) - 1]\n  25      scores.append(len(codes) + codes[-1])\n  26      scores.append(depth * 2)\n  27      scores.append(len(queue))\n  28      scores.append(len(token))\n  29      scores.append(factor)\n  30      scores = scores + summarize_weights(factor)\n  31      return scores\n  32  \n  33  \n  34  def summarize_weights(offset):\n  35      marks = [1, 8, 3, 1]\n  36      parts = [6, 8, 6, 0]\n  37      batch = [5, 5, 7]\n  38      width = offset + 4\n  39      width = width + offset * 2\n  40      scores = [9, 7]\n  41      nums = scores\n  42      nums += [13]\n  43      nums = nums + [24]\n  44      stack = scores[:]\n  45      stack.append(36)\n  46      marks.append(len(scores) + scores[-1])\n  47      queue = [3, 6, 7, 8, 5]\n  48      reserve = 0\n  49      for elem in queue:\n  50          if elem > 4:\n  51              reserve += elem\n  52          else:\n  53              reserve -= 1\n  54      marks.append(reserve)\n  55      width += offset\n  56      values = [7, 8, 0, 6, 3]\n  57      codes = values[1:len(values) - 1]\n  58      marks.append(len(codes) + codes[-1])\n  59      marks.append(width)\n  60      marks.append(len(parts))\n  61      marks.append(batch[0])\n  62      marks.append(offset)\n  63      return marks"}, {"step": 6, "tool": "read_file", "args": {"path": "tests/test_scheduling.py"}, "ok": true, "kind": null, "output": "   1  from scheduling import solve\n   2  \n   3  \n   4  def test_solve_1():\n   5      assert solve([-8, 14], 9) == 1435\n   6  \n   7  \n   8  def test_solve_2():\n   9      assert solve([11], 6) == 1357\n  10  \n  11  \n  12  def test_solve_3():\n  13      assert solve([-6], 19) == 1862"}], "diff": ""}
Reasoning not captured

(no reasoning captured)

Realized dims 33
dimvalue
bug_distance1.0
calls_to_first_cause_read3.0
clone_trap0.0
distractor_modules0.0
edit_nomatch0.0
edit_nonunique0.0
files_read4.0
files_read_on_path2.0
hidden_inputs4.0
inlined0.0
lines296.0
lookalike_twins0.0
max_fanout2.0
n_bugs1.0
n_calls6.0
n_crossing_edges5.0
n_edges10.0
n_edits0.0
n_errors0.0
n_files4.0
n_funcs9.0
n_modules4.0
n_neighbors0.0
n_reads5.0
n_searches0.0
n_test_runs1.0
path_crosses_every_hop1.0
protocol_version2.0
ran_tests_after_last_edit0.0
test_edit_attempts0.0
tokens_in_total26286.0
unknown_tool0.0
whole_file_rewrite0.0
Latent params 18
paramvalue
bug_distance1.0
bug_mix0.0
clone_trap0.0
distractor_modules0.0
fanout2.0
graph_tools0.0
hidden_inputs4.0
inline_p0.25
lookalike_names0.0
misleading_comments0.0
n_bugs1.0
n_funcs8.0
n_modules4.0
n_statements8.0
opaque_names0.0
restate_imports0.0
restate_symbols0.0
tool_budget20.0