Data to …… trials

Record 38d56a5979f844f59edbc557f4b0b421

PASS

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

✓PASSanswered "ANSWER: [5, 2, 3, 9, 9, 4, 4, 1, 1, 0, 0, 3, 3, 5, 9, 9, 4, 4, 1, 1]" · model Gemma 3 27B

finish_reason: stop · tokens in/out: 290/1370 · cost: $0.000440 · latency: 55422.6 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=correct;n_stmts=28;trace_len=36;traps=aliasing_on=0;late_binding_on=0;shadowing_on=0;inclusive_range_trap_on=0;negative_modulo_on=0;mutable_default_on=0;confusability=0.6

trap kind(s) this world was seeded for: aliasing_on=0

lineage: 38d56a59

← prev trial · trial 35 of 56 · next trial →

Prompt 777 chars · 290 tokens in
Here is a short Python program.

```python
queue = [5, 2]
text = 'sol'
cells = [4, 3]
queues = [9, 4]
texts = 'ab'
queues = queues + [1]
queue.append(len(text))
if len(cells) >= 7:
    queue.append(len(cells))
for cur in queues:
    queue += [cur]
    queue += [cur]
cells[0] = 0
texts = texts + 'oak'
texts = texts.replace('a', 'o')
for e in cells:
    queue += [e]
    queue += [e]
queue.append(len(texts))
for entry in queues:
    queue += [entry]
    queue += [entry]

def measure(acc, arg=5):
    return acc * 2 + arg

queues[0] = 6
texts = texts.upper()
queues.append(len(texts))
queues.append(len(cells))
```

After this program runs, what is the value of `queue`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 1,370 tokens out · finish: stop
Let's trace the execution of the Python code step by step to determine the final value of the `queue` list.

1. `queue = [5, 2]`
2. `text = 'sol'`
3. `cells = [4, 3]`
4. `queues = [9, 4]`
5. `texts = 'ab'`
6. `queues = queues + [1]`  => `queues = [9, 4, 1]`
7. `queue.append(len(text))` => `queue = [5, 2, 3]`
8. `if len(cells) >= 7:` (2 >= 7 is false) => No change.
9. `for cur in queues:`
   - `cur = 9`: `queue += [9]` => `queue = [5, 2, 3, 9]` and `queue += [9]` => `queue = [5, 2, 3, 9, 9]`
   - `cur = 4`: `queue += [4]` => `queue = [5, 2, 3, 9, 9, 4]` and `queue += [4]` => `queue = [5, 2, 3, 9, 9, 4, 4]`
   - `cur = 1`: `queue += [1]` => `queue = [5, 2, 3, 9, 9, 4, 4, 1]` and `queue += [1]` => `queue = [5, 2, 3, 9, 9, 4, 4, 1, 1]`
10. `cells[0] = 0` => `cells = [0, 3]`
11. `texts = texts + 'oak'` => `texts = 'aboak'`
12. `texts = texts.replace('a', 'o')` => `texts = 'obook'`
13. `for e in cells:`
    - `e = 0`: `queue += [0]` => `queue = [5, 2, 3, 9, 9, 4, 4, 1, 1, 0]` and `queue += [0]` => `queue = [5, 2, 3, 9, 9, 4, 4, 1, 1, 0, 0]`
    - `e = 3`: `queue += [3]` => `queue = [5, 2, 3, 9, 9, 4, 4, 1, 1, 0, 0, 3]` and `queue += [3]` => `queue = [5, 2, 3, 9, 9, 4, 4, 1, 1, 0, 0, 3, 3]`
14. `queue.append(len(texts))` => `queue = [5, 2, 3, 9, 9, 4, 4, 1, 1, 0, 0, 3, 3, 5]`
15. `for entry in queues:`
    - `entry = 9`: `queue += [9]` => `queue = [5, 2, 3, 9, 9, 4, 4, 1, 1, 0, 0, 3, 3, 5, 9]` and `queue += [9]` => `queue = [5, 2, 3, 9, 9, 4, 4, 1, 1, 0, 0, 3, 3, 5, 9, 9]`
    - `entry = 4`: `queue += [4]` => `queue = [5, 2, 3, 9, 9, 4, 4, 1, 1, 0, 0, 3, 3, 5, 9, 9, 4]` and `queue += [4]` => `queue = [5, 2, 3, 9, 9, 4, 4, 1, 1, 0, 0, 3, 3, 5, 9, 9, 4, 4]`
    - `entry = 1`: `queue += [1]` => `queue = [5, 2, 3, 9, 9, 4, 4, 1, 1, 0, 0, 3, 3, 5, 9, 9, 4, 4, 1]` and `queue += [1]` => `queue = [5, 2, 3, 9, 9, 4, 4, 1, 1, 0, 0, 3, 3, 5, 9, 9, 4, 4, 1, 1]`

16. `queues[0] = 6` => `queues = [6, 4, 1]`
17. `texts = texts.upper()` => `texts = 'OBOOK'`
18. `queues.append(len(texts))` => `queues = [6, 4, 1, 5]`
19. `queues.append(len(cells))` => `queues = [6, 4, 1, 5, 2]`

The final value of `queue` is `[5, 2, 3, 9, 9, 4, 4, 1, 1, 0, 0, 3, 3, 5, 9, 9, 4, 4, 1, 1]`.

ANSWER: [5, 2, 3, 9, 9, 4, 4, 1, 1, 0, 0, 3, 3, 5, 9, 9, 4, 4, 1, 1]
Reasoning not captured

(no reasoning captured)

Realized dims 17
dimvalue
aliasing_on0.0
answer_size60.0
distractor_fraction0.0
identifier_confusability0.8
inclusive_range_trap_on0.0
late_binding_on0.0
max_nesting1.0
mutable_default_on0.0
n_closures0.0
n_foil_matches0.0
n_live_aliases0.0
n_statements28.0
n_variables5.0
negative_modulo_on0.0
shadowing_on0.0
trace_length36.0
traps_on0.0
Latent params 11
paramvalue
aliasing_on0.0
distractor_fraction0.0
identifier_confusability0.6
inclusive_range_trap_on0.0
late_binding_on0.0
max_nesting1.0
mutable_default_on0.0
n_statements26.0
n_variables3.0
negative_modulo_on0.0
shadowing_on0.0