Data to …… trials

Record 974925f18c6346dca5f9c290cf8075ea

PASS

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

✓PASSanswered "ANSWER: [8, 7, 2, 3, -1]" · model Gemma 4 31B QAT

finish_reason: stop · tokens in/out: 222/583 · cost: $0.000197 · latency: 19261.7 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=correct;n_stmts=23;trace_len=23;traps=aliasing_on=0;late_binding_on=0;shadowing_on=0;inclusive_range_trap_on=0;negative_modulo_on=0;mutable_default_on=0;opaque_literal_on=0;dialect_rules=0;chain_depth=16;stack_depth=0;loop_branch=0;while_on=0;sign_chain=0;index_math=0;misleading_comments=0;neutral_comments=0;confusability=0

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

lineage: 974925f1

← prev trial · trial 23 of 33 · next trial →

Prompt 593 chars · 222 tokens in
Here is a short Python program.

```python
queue = [8, 7]
slots = [9, 5, 2]
prefix = 'cat'
queue.append(slots[-1])
credit = 8
credit -= 4
credit += 8
credit = credit * 2 - 2
credit = credit * 2 - 8
credit += 1
credit += 4
credit += 3
credit = credit // 2
credit = credit * 2 - 8
credit += 6
credit += 1
credit += 1
credit = credit // 2
credit -= 7
credit = credit // 2
credit -= 8
queue.append(len(prefix))
queue.append(credit)
```

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 583 tokens out · finish: stop
To find the final value of `queue`, let's trace the program step-by-step.

1.  `queue = [8, 7]`
2.  `slots = [9, 5, 2]`
3.  `prefix = 'cat'`
4.  `queue.append(slots[-1])`: `slots[-1]` is `2`. `queue` becomes `[8, 7, 2]`.
5.  `credit = 8`
6.  `credit -= 4` $\rightarrow$ `credit = 4`
7.  `credit += 8` $\rightarrow$ `credit = 12`
8.  `credit = credit * 2 - 2` $\rightarrow$ $12 \times 2 - 2 = 22$
9.  `credit = credit * 2 - 8` $\rightarrow$ $22 \times 2 - 8 = 36$
10. `credit += 1` $\rightarrow$ `credit = 37`
11. `credit += 4` $\rightarrow$ `credit = 41`
12. `credit += 3` $\rightarrow$ `credit = 44`
13. `credit = credit // 2` $\rightarrow$ $44 // 2 = 22$
14. `credit = credit * 2 - 8` $\rightarrow$ $22 \times 2 - 8 = 36$
15. `credit += 6` $\rightarrow$ `credit = 42`
16. `credit += 1` $\rightarrow$ `credit = 43`
17. `credit += 1` $\rightarrow$ `credit = 44`
18. `credit = credit // 2` $\rightarrow$ $44 // 2 = 22$
19. `credit -= 7` $\rightarrow$ `credit = 15`
20. `credit = credit // 2` $\rightarrow$ $15 // 2 = 7$
21. `credit -= 8` $\rightarrow$ `credit = -1`
22. `queue.append(len(prefix))`: `len('cat')` is `3`. `queue` becomes `[8, 7, 2, 3]`.
23. `queue.append(credit)`: `credit` is `-1`. `queue` becomes `[8, 7, 2, 3, -1]`.

ANSWER: [8, 7, 2, 3, -1]
Reasoning not captured

(no reasoning captured)

Realized dims 27
dimvalue
aliasing_on0.0
answer_size16.0
chain_depth16.0
critical_path_depth18.0
distractor_fraction0.0
identifier_confusability0.0
inclusive_range_trap_on0.0
index_math0.0
late_binding_on0.0
loop_branch0.0
max_nesting0.0
misleading_comments0.0
mutable_default_on0.0
n_closures0.0
n_foil_matches0.0
n_live_aliases0.0
n_statements23.0
n_variables4.0
negative_modulo_on0.0
neutral_comments0.0
opaque_literal_on0.0
shadowing_on0.0
sign_chain0.0
stack_depth0.0
trace_length23.0
traps_on0.0
while_on0.0
Latent params 21
paramvalue
aliasing_on0.0
chain_depth16.0
dialect_rules0.0
distractor_fraction0.0
identifier_confusability0.0
inclusive_range_trap_on0.0
index_math0.0
late_binding_on0.0
loop_branch0.0
max_nesting1.0
misleading_comments0.0
mutable_default_on0.0
n_statements22.0
n_variables3.0
negative_modulo_on0.0
neutral_comments0.0
opaque_literal_on0.0
shadowing_on0.0
sign_chain0.0
stack_depth0.0
while_on0.0