Data to …… trials

Record 42a24631f14d496788b2a8ad58495566

PASS

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

✓PASSanswered "ANSWER: 19" · model Gemma 4 31B QAT

finish_reason: stop · tokens in/out: 268/576 · cost: $0.000200 · latency: 19322.1 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=correct;n_stmts=22;trace_len=19;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=0;stack_depth=0;loop_branch=0;while_on=0;sign_chain=2;index_math=2;misleading_comments=2;neutral_comments=0;confusability=0

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

lineage: 42a24631

← prev trial · trial 22 of 33 · next trial →

Prompt 712 chars · 268 tokens in
Here is a short Python program.

```python
weight = 2
bins = [6, 7]
spare = 1
spare = bins.pop()
weight += spare
if weight < 6:
    bins = bins[1:]
else:
    bins.append(4)
if spare == spare:
    bins = bins + [weight]
    spare = bins.pop()
else:
    weight += bins[0]
    spare = bins[0]
level = spare - 17
level = level // 7
level = level % 5
weight += level
parts = [2, 7, 1, 0, 9]
batch = parts[1:len(parts) - 1]
weight += len(batch) + batch[-1]  # weight is now 11
scores = parts[:-2]
weight += len(scores) + scores[-1]  # weight is now 15
```

After this program runs, what is the value of `weight`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 576 tokens out · finish: stop
To find the final value of `weight`, let's trace the program step-by-step:

1.  `weight = 2`
2.  `bins = [6, 7]`
3.  `spare = 1`
4.  `spare = bins.pop()`: `bins` becomes `[6]`, `spare` becomes `7`.
5.  `weight += spare`: `weight = 2 + 7 = 9`.
6.  `if weight < 6:`: `9 < 6` is False.
7.  `else: bins.append(4)`: `bins` becomes `[6, 4]`.
8.  `if spare == spare:`: `7 == 7` is True.
9.  `bins = bins + [weight]`: `bins = [6, 4] + [9] = [6, 4, 9]`.
10. `spare = bins.pop()`: `bins` becomes `[6, 4]`, `spare` becomes `9`.
11. `level = spare - 17`: `level = 9 - 17 = -8`.
12. `level = level // 7`: `-8 // 7` is `-2` (floor division of -1.14 is -2).
13. `level = level % 5`: `-2 % 5` is `3` (In Python, the result of the modulo operator has the same sign as the divisor).
14. `weight += level`: `weight = 9 + 3 = 12`.
15. `parts = [2, 7, 1, 0, 9]`
16. `batch = parts[1:len(parts) - 1]`: `parts[1:4]` is `[7, 1, 0]`.
17. `weight += len(batch) + batch[-1]`: `len(batch)` is 3, `batch[-1]` is 0. `weight = 12 + 3 + 0 = 15`.
18. `scores = parts[:-2]`: `parts[0:3]` is `[2, 7, 1]`.
19. `weight += len(scores) + scores[-1]`: `len(scores)` is 3, `scores[-1]` is 1. `weight = 15 + 3 + 1 = 19`.

Final value of `weight` is 19.

ANSWER: 19
Reasoning not captured

(no reasoning captured)

Realized dims 27
dimvalue
aliasing_on0.0
answer_size2.0
chain_depth0.0
critical_path_depth11.0
distractor_fraction0.0
identifier_confusability0.0
inclusive_range_trap_on0.0
index_math2.0
late_binding_on0.0
loop_branch0.0
max_nesting1.0
misleading_comments2.0
mutable_default_on0.0
n_closures0.0
n_foil_matches0.0
n_live_aliases0.0
n_statements22.0
n_variables7.0
negative_modulo_on0.0
neutral_comments0.0
opaque_literal_on0.0
shadowing_on0.0
sign_chain2.0
stack_depth0.0
trace_length19.0
traps_on0.0
while_on0.0
Latent params 21
paramvalue
aliasing_on0.0
chain_depth0.0
dialect_rules0.0
distractor_fraction0.0
identifier_confusability0.0
inclusive_range_trap_on0.0
index_math2.0
late_binding_on0.0
loop_branch0.0
max_nesting1.0
misleading_comments2.0
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_chain2.0
stack_depth0.0
while_on0.0