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Record 12d2465dc88a48a5a0bed8183ab449ec

PASS

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

✓PASSanswered "ANSWER: [2, 5, 9, 19, 14, 27, 1, 2, -1, 5, 7, 8]" · model Gemma 3 27B

finish_reason: stop · tokens in/out: 291/888 · cost: $0.000295 · latency: 12835.2 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=correct;n_stmts=29;trace_len=32;traps=aliasing_on=1;late_binding_on=1;shadowing_on=1;inclusive_range_trap_on=1;negative_modulo_on=1;mutable_default_on=1;confusability=0

trap kind(s) this world was seeded for: aliasing_on=1

lineage: 12d2465d

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Prompt 758 chars · 291 tokens in
Here is a short Python program.

```python
cells = [2, 5, 9]
slots = [6, 7]
scores = [8, 0, 2]
values = cells
values += [19]
total = 5

def shift_by(v):
    return v + total

total = 10
cells.append(shift_by(4))
offset = 9

def bump(val):
    offset = val * 2 + 1
    return offset + 1

value = bump(8)
cells.append(offset + value)
for i in range(1, 3):
    cells.append(i)
cost = 3 - 5
quota = cost // 4
cells.append(quota)

def grow(amt, arg=[]):
    arg.append(amt)
    return len(arg) + amt

base = grow(5)
step = grow(3)
cells.append(step)
cells.append(slots[-1])
cells.append(scores[0])
```

After this program runs, what is the value of `cells`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 888 tokens out · finish: stop
Let's trace the execution of the Python code step by step.

1. `cells = [2, 5, 9]`
2. `slots = [6, 7]`
3. `scores = [8, 0, 2]`
4. `values = cells`  (values now refers to the same list as cells)
5. `values += [19]`  (cells is also modified: `cells` becomes `[2, 5, 9, 19]`)
6. `total = 5`
7. `def shift_by(v): return v + total`
8. `total = 10`
9. `cells.append(shift_by(4))`  (`shift_by(4)` returns 4 + 10 = 14. `cells` becomes `[2, 5, 9, 19, 14]`)
10. `offset = 9`
11. `def bump(val): offset = val * 2 + 1; return offset + 1`
12. `value = bump(8)`  (`bump(8)`: `offset` becomes 8 * 2 + 1 = 17. Returns 17 + 1 = 18. `value` is 18.)
13. `cells.append(offset + value)`  (`offset + value` is 9 + 18 = 27. `cells` becomes `[2, 5, 9, 19, 14, 27]`)
14. `for i in range(1, 3): cells.append(i)`  (Appends 1 and 2. `cells` becomes `[2, 5, 9, 19, 14, 27, 1, 2]`)
15. `cost = 3 - 5`  (`cost` is -2)
16. `quota = cost // 4`  (`quota` is -2 // 4 = -1)
17. `cells.append(quota)`  (`cells` becomes `[2, 5, 9, 19, 14, 27, 1, 2, -1]`)
18. `def grow(amt, arg=[]): arg.append(amt); return len(arg) + amt`
19. `base = grow(5)`  (`grow(5)`: `arg` becomes `[5]`. Returns len([5]) + 5 = 1 + 5 = 6. `base` is 6.)
20. `step = grow(3)`  (`grow(3)`: `arg` is still `[5]`. `arg` becomes `[5, 3]`. Returns len([5, 3]) + 3 = 2 + 3 = 5. `step` is 5.)
21. `cells.append(step)`  (`cells` becomes `[2, 5, 9, 19, 14, 27, 1, 2, -1, 5]`)
22. `cells.append(slots[-1])`  (`slots[-1]` is 7. `cells` becomes `[2, 5, 9, 19, 14, 27, 1, 2, -1, 5, 7]`)
23. `cells.append(scores[0])`  (`scores[0]` is 8. `cells` becomes `[2, 5, 9, 19, 14, 27, 1, 2, -1, 5, 7, 8]`)

ANSWER: [2, 5, 9, 19, 14, 27, 1, 2, -1, 5, 7, 8]
Reasoning not captured

(no reasoning captured)

Realized dims 17
dimvalue
aliasing_on1.0
answer_size40.0
distractor_fraction0.0
identifier_confusability0.0
inclusive_range_trap_on1.0
late_binding_on1.0
max_nesting1.0
mutable_default_on1.0
n_closures1.0
n_foil_matches0.0
n_live_aliases1.0
n_statements29.0
n_variables11.0
negative_modulo_on1.0
shadowing_on1.0
trace_length32.0
traps_on6.0
Latent params 11
paramvalue
aliasing_on1.0
distractor_fraction0.0
identifier_confusability0.0
inclusive_range_trap_on1.0
late_binding_on1.0
max_nesting1.0
mutable_default_on1.0
n_statements6.0
n_variables3.0
negative_modulo_on1.0
shadowing_on1.0