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Record 2068acf62ec54b959bfeb1ee06968e10

PASS

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

✓PASSanswered "{"steps": [{"step": 1, "tool": "run_tests", "args": {}, "ok": true, "kind": n..." · model Gemma 4 31B QAT

finish_reason: stop · tokens in/out: 34500/290 · cost: $0.003537 · latency: 22126.1 ms

repo_fixtemplatestop

verifier_detail: kind=repo_fix;campaign=1;protocol=text;outcome=stopped_short;detail=pass;bug=wrong_index;bug_module=ingest;edited=ingest.py;turns=9;protocol_version=2;result_rendering=text;calls_per_turn=1;text_stop=1;skipped_calls=0;truncated_turns=0;max_tokens=6000;n_calls=8;n_reads=5;n_searches=0;n_neighbors=0;n_edits=1;n_test_runs=2;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=1;context_window=32768;wall_s=22

lineage: 2068acf6

← prev trial · trial 9 of 24 · next trial →

Prompt 524 chars · 34,500 tokens in
The test suite currently fails:

tests/test_inventory.py::test_solve_1 FAILED
    assert solve([1, 7, 7, 2, -6], 5) == [1, 7, 7, 2, -6, 21, 28, 10, 12, 5, 1, 8, 1, 7, 7, 2, -6, 21, 28, 10, 12, 5, 1, 8, 16, 6, 6, 14, 6, 6, 5, 243, 127, 239]
    AssertionError: solve([1, 7, 7, 2, -6], 5) returned [1, 7, 7, 2, -6, 21, 28, 10, 12, 5, 1, 8, 1, 7, 7, 2, -6, 21, 28, 10, 12, 5, 1, 8, 16, 6, 7, 14, 6, 6, 5, 243, 127, 239]
1 failed, 0 passed

Repository files:
ingest.py
inventory.py
payroll.py
shipping.py
tests/test_inventory.py
Response 290 tokens out · finish: stop
{"steps": [{"step": 1, "tool": "run_tests", "args": {}, "ok": true, "kind": null, "output": "tests/test_inventory.py::test_solve_1 FAILED\n    assert solve([1, 7, 7, 2, -6], 5) == [1, 7, 7, 2, -6, 21, 28, 10, 12, 5, 1, 8, 1, 7, 7, 2, -6, 21, 28, 10, 12, 5, 1, 8, 16, 6, 6, 14, 6, 6, 5, 243, 127, 239]\n    AssertionError: solve([1, 7, 7, 2, -6], 5) returned [1, 7, 7, 2, -6, 21, 28, 10, 12, 5, 1, 8, 1, 7, 7, 2, -6, 21, 28, 10, 12, 5, 1, 8, 16, 6, 7, 14, 6, 6, 5, 243, 127, 239]\n1 failed, 0 passed"}, {"step": 2, "tool": "read_file", "args": {"path": "inventory.py"}, "ok": true, "kind": null, "output": "     1\tfrom ingest import aggregate_tags\n     2\tfrom payroll import aggregate_reserve\n     3\t\n     4\t\n     5\tdef solve(scores, budget):\n     6\t    margin = 1\n     7\t    weight = 8\n     8\t    cost = budget + 9\n     9\t    cost = cost * 2 - 3\n    10\t    slots = [4, 5, 3]\n    11\t    queue = slots\n    12\t    queue += [17]\n    13\t    queue = queue + [29]\n    14\t    codes = slots[:]\n    15\t    codes.append(37)\n    16\t    scores.append(len(slots) + slots[-1])\n    17\t    stack = [7, 1, 9, 6, 8]\n    18\t    rate = 0\n    19\t    for elem in stack:\n    20\t        if elem > margin:\n    21\t            rate += elem\n    22\t        else:\n    23\t            rate -= 2\n    24\t    scores.append(rate)\n    25\t    cost = cost // 2\n    26\t    items = [8, 0, 1, 7, 9]\n    27\t    parts = items[1:len(items) - 1]\n    28\t    scores.append(len(parts) + parts[-1])\n    29\t    scores.append(cost)\n    30\t    scores.append(budget)\n    31\t    scores.append(margin)\n    32\t    scores.append(weight)\n    33\t    scores = scores + aggregate_tags(scores[:])\n    34\t    scores = scores + [aggregate_reserve(budget, 'yxxy')]\n    35\t    return scores"}, {"step": 3, "tool": "read_file", "args": {"path": "ingest.py"}, "ok": true, "kind": null, "output": "     1\tfrom payroll import apply_codes\n     2\tfrom shipping import normalize_rows\n     3\t\n     4\t\n     5\tdef aggregate_tags(marks):\n     6\t    bonus = 6\n     7\t    step = 3\n     8\t    limit = 5\n     9\t    peak = 4\n    10\t    peak = peak // 2\n    11\t    queue = [8, 6, 9]\n    12\t    batch = queue\n    13\t    batch += [12]\n    14\t    batch = batch + [27]\n    15\t    items = queue[:]\n    16\t    items.append(32)\n    17\t    marks.append(len(queue) + queue[-1])\n    18\t    codes = [3, 7, 8, 2, 6]\n    19\t    rate = 0\n    20\t    for entry in codes:\n    21\t        if entry > 6:\n    22\t            rate += entry\n    23\t        else:\n    24\t            rate -= 3\n    25\t    marks.append(rate)\n    26\t    peak = peak + bonus * 2\n    27\t    rows = [7, 4, 5, 3, 8]\n    28\t    values = rows[1:len(rows) - 1]\n    29\t    marks.append(len(values) + values[0])\n    30\t    marks.append(peak)\n    31\t    marks.append(bonus)\n    32\t    marks.append(step * 2)\n    33\t    marks.append(limit)\n    34\t    marks = marks + [normalize_rows(marks[:], 'yc')]\n    35\t    marks = marks + [apply_codes(4)]\n    36\t    return marks"}, {"step": 4, "tool": "read_file", "args": {"path": "shipping.py"}, "ok": true, "kind": null, "output": "     1\tdef normalize_rows(codes, mode):\n     2\t    margin = 6\n     3\t    height = 3\n     4\t    factor = height + 7\n     5\t    factor = factor + height * 2\n     6\t    nums = [6, 1, 8]\n     7\t    stack = nums\n     8\t    stack += [17]\n     9\t    stack = stack + [29]\n    10\t    cells = nums[:]\n    11\t    cells.append(32)\n    12\t    margin += len(nums) + nums[-1]\n    13\t    bins = [3, 8, 2, 9]\n    14\t    step = 0\n    15\t    for entry in bins:\n    16\t        if entry > height:\n    17\t            step += entry\n    18\t        else:\n    19\t            step -= 1\n    20\t    margin += step\n    21\t    factor += 4\n    22\t    rows = [3, 2, 5, 8, 9]\n    23\t    slots = rows[1:len(rows) - 1]\n    24\t    margin += len(slots) + slots[-1]\n    25\t    margin += factor * 2\n    26\t    margin += height * 2\n    27\t    margin += len(codes)\n    28\t    margin += len(mode)\n    29\t    margin = margin + normalize_margin(codes[:])\n    30\t    return margin\n    31\t\n    32\t\n    33\tdef normalize_margin(batch):\n    34\t    budget = 1\n    35\t    width = 4\n    36\t    delta = 8\n    37\t    height = delta + 8\n    38\t    height = height + delta * 2\n    39\t    cells = [1, 6, 6]\n    40\t    marks = cells\n    41\t    marks += [16]\n    42\t    marks = marks + [22]\n    43\t    stack = cells[:]\n    44\t    stack.append(38)\n    45\t    budget += len(cells) + cells[-1]\n    46\t    nums = [1, 7, 5, 3, 0]\n    47\t    peak = 0\n    48\t    for elem in nums:\n    49\t        if elem > width:\n    50\t            peak += elem\n    51\t        else:\n    52\t            peak -= 2\n    53\t    budget += peak\n    54\t    height = height * 2 - 9\n    55\t    slots = [8, 2, 6, 3, 0]\n    56\t    items = slots[1:len(slots) - 1]\n    57\t    budget += len(items) + items[-1]\n    58\t    budget += height\n    59\t    budget += len(batch)\n    60\t    budget += width * 2\n    61\t    budget += delta\n    62\t    return budget"}, {"step": 5, "tool": "read_file", "args": {"path": "payroll.py"}, "ok": true, "kind": null, "output": "     1\tdef apply_codes(factor):\n     2\t    rate = 1\n     3\t    reserve = 6\n     4\t    mode = 'red'\n     5\t    score = factor + 1\n     6\t    score = score + factor * 2\n     7\t    parts = [3, 9, 9]\n     8\t    items = parts\n     9\t    items += [12]\n    10\t    items = items + [24]\n    11\t    codes = parts[:]\n    12\t    codes.append(32)\n    13\t    rate += len(parts) + parts[-1]\n    14\t    cells = [3, 0, 5, 9, 7]\n    15\t    depth = 0\n    16\t    for e in cells:\n    17\t        if e > 2:\n    18\t            depth += e\n    19\t        else:\n    20\t            depth -= 1\n    21\t    rate += depth\n    22\t    score = score * 2 - 4\n    23\t    scores = [6, 3, 7, 1, 5, 2]\n    24\t    marks = scores[1:len(scores) - 1]\n    25\t    rate += len(marks) + marks[-1]\n    26\t    rate += score\n    27\t    rate += factor\n    28\t    rate += reserve\n    29\t    rate += len(mode)\n    30\t    rate = rate + estimate_rate(factor, 'zb')\n    31\t    return rate\n    32\t\n    33\t\n    34\tdef aggregate_reserve(depth, word):\n    35\t    offset = 7\n    36\t    margin = 1\n    37\t    height = 7\n    38\t    height = height // 2\n    39\t    parts = [7, 3, 9]\n    40\t    bins = parts\n    41\t    bins += [18]\n    42\t    bins = bins + [22]\n    43\t    scores = parts[:]\n    44\t    scores.append(33)\n    45\t    depth += len(parts) + parts[-1]\n    46\t    queue = [8, 1, 5, 3]\n    47\t    amount = 0\n    48\t    for cur in queue:\n    49\t        if cur > 3:\n    50\t            amount += cur\n    51\t        else:\n    52\t            amount -= 2\n    53\t    depth += amount\n    54\t    height -= 7\n    55\t    nums = [0, 5, 7, 4, 2, 6]\n    56\t    slots = nums[1:len(nums) - 1]\n    57\t    depth += len(slots) + slots[-1]\n    58\t    depth += height * 2\n    59\t    depth += offset * 2\n    60\t    depth += len(word)\n    61\t    depth += margin\n    62\t    depth = depth + build_tags([-3, 5, -3])\n    63\t    prefix = word\n    64\t    value = 6\n    65\t    quota = 8\n    66\t    tally = 2\n    67\t    cost = 3\n    68\t    cost += quota\n    69\t    rows = [1, 4]\n    70\t    marks = rows\n    71\t    marks += [13]\n    72\t    marks = marks + [28]\n    73\t    stack = rows[:]\n    74\t    stack.append(37)\n    75\t    value += len(rows) + rows[-1]\n    76\t    batch = [0, 6, 9, 2, 5]\n    77\t    peak = 0\n    78\t    for x in batch:\n    79\t        if x > tally:\n    80\t            peak += x\n    81\t        else:\n    82\t            peak -= 3\n    83\t    value += peak\n    84\t    cost += 5\n    85\t    values = [9, 5, 1, 0, 6]\n    86\t    cells = values[1:len(values) - 1]\n    87\t    value += len(cells) + cells[-1]\n    88\t    value += cost\n    89\t    value += len(prefix)\n    90\t    value += quota * 2\n    91\t    value += tally\n    92\t    depth = depth + value\n    93\t    return depth\n    94\t\n    95\t\n    96\tdef build_tags(codes):\n    97\t    margin = 6\n    98\t    amount = 5\n    99\t    mode = 'cat'\n   100\t    quota = amount + 9\n   101\t    quota -= 4\n   102\t    items = [1, 1]\n   103\t    cells = items\n   104\t    cells += [10]\n   105\t    cells = cells + [29]\n   106\t    batch = items[:]\n   107\t    batch.append(33)\n   108\t    margin += len(items) + items[-1]\n   109\t    bins = [6, 2, 1, 5]\n   110\t    width = 0\n   111\t    for x in bins:\n   112\t        if x > 3:\n   113\t            width += x\n   114\t        else:\n   115\t            width -= 1\n   116\t    margin += width\n   117\t    quota += amount\n   118\t    parts = [5, 3, 1, 6, 2]\n   119\t    queue = parts[1:len(parts) - 1]\n   120\t    margin += len(queue) + queue[-1]\n   121\t    margin += quota\n   122\t    margin += amount\n   123\t    margin += len(mode)\n   124\t    margin += len(codes)\n   125\t    margin = margin + estimate_rate(5, 'azzz')\n   126\t    return margin\n   127\t\n   128\t\n   129\tdef estimate_rate(margin, text):\n   130\t    scores = [7, 2, 6, 5]\n   131\t    rows = [8, 1, 2]\n   132\t    credit = 7\n   133\t    credit = credit * 2 - 6\n   134\t    batch = [0, 2]\n   135\t    stack = batch\n   136\t    stack += [13]\n   137\t    stack = stack + [21]\n   138\t    marks = batch[:]\n   139\t    marks.append(38)\n   140\t    margin += len(batch) +...[clipped]"}, {"step": 6, "tool": "read_file", "args": {"path": "ingest.py"}, "ok": true, "kind": null, "output": "     1\tfrom payroll import apply_codes\n     2\tfrom shipping import normalize_rows\n     3\t\n     4\t\n     5\tdef aggregate_tags(marks):\n     6\t    bonus = 6\n     7\t    step = 3\n     8\t    limit = 5\n     9\t    peak = 4\n    10\t    peak = peak // 2\n    11\t    queue = [8, 6, 9]\n    12\t    batch = queue\n    13\t    batch += [12]\n    14\t    batch = batch + [27]\n    15\t    items = queue[:]\n    16\t    items.append(32)\n    17\t    marks.append(len(queue) + queue[-1])\n    18\t    codes = [3, 7, 8, 2, 6]\n    19\t    rate = 0\n    20\t    for entry in codes:\n    21\t        if entry > 6:\n    22\t            rate += entry\n    23\t        else:\n    24\t            rate -= 3\n    25\t    marks.append(rate)\n    26\t    peak = peak + bonus * 2\n    27\t    rows = [7, 4, 5, 3, 8]\n    28\t    values = rows[1:len(rows) - 1]\n    29\t    marks.append(len(values) + values[0])\n    30\t    marks.append(peak)\n    31\t    marks.append(bonus)\n    32\t    marks.append(step * 2)\n    33\t    marks.append(limit)\n    34\t    marks = marks + [normalize_rows(marks[:], 'yc')]\n    35\t    marks = marks + [apply_codes(4)]\n    36\t    return marks"}, {"step": 7, "tool": "edit_file", "args": {"path": "ingest.py", "old": "    marks.append(len(values) + values[0])", "new": "    marks.append(len(values) + values[-1])"}, "ok": true, "kind": null, "output": "edited ingest.py"}, {"step": 8, "tool": "run_tests", "args": {}, "ok": true, "kind": null, "output": "tests/test_inventory.py::test_solve_1 PASSED\n0 failed, 1 passed"}], "diff": "--- a/ingest.py\n+++ b/ingest.py\n@@ -27,5 +27,5 @@\n     rows = [7, 4, 5, 3, 8]\n     values = rows[1:len(rows) - 1]\n-    marks.append(len(values) + values[0])\n+    marks.append(len(values) + values[-1])\n     marks.append(peak)\n     marks.append(bonus)\n", "assistant": ["```tool_code\nrun_tests()\n```", "```tool_code\nread_file(path='inventory.py')\n```", "```tool_code\nread_file(path='ingest.py')\n```", "```tool_code\nread_file(path='shipping.py')\n```", "```tool_code\nread_file(path='payroll.py')\n```", "```tool_code\nread_file(path='ingest.py')\n```", "```tool_code\nedit_file(path='ingest.py', old='    marks.append(len(values) + values[0])', new='    marks.append(len(values) + values[-1])')\n```", "```tool_code\nrun_tests()\n```", "The bug was located in `ingest.py` within the `aggregate_tags` function. The code was using `values[0]` instead of `values[-1]` when calculating a value to append to the `marks` list, which caused a discrepancy in the final output of the `solve` function in `inventory.py`.\n\nSummary of changes:\n- Modified `ingest.py`: Changed `marks.append(len(values) + values[0])` to `marks.append(len(values) + values[-1])`."]}
Reasoning not captured

(no reasoning captured)

Realized dims 34
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
inlined1.0
lines290.0
lookalike_twins0.0
max_fanout2.0
n_bugs1.0
n_calls8.0
n_crossing_edges4.0
n_edges8.0
n_edits1.0
n_errors0.0
n_files4.0
n_funcs8.0
n_modules4.0
n_neighbors0.0
n_reads5.0
n_searches0.0
n_test_runs2.0
path_crosses_every_hop1.0
protocol_version2.0
ran_tests_after_last_edit1.0
test_edit_attempts0.0
tokens_in_total34500.0
truncated_turns0.0
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