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Record a00e616c6609493286f7bdfea71c3fe5

PASS

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

✓PASSanswered "ANSWER: [4, 9, 0, 'tkt-45d4a7:v2', 1, 8]" · model Gemma 4 31B QAT

finish_reason: stop · tokens in/out: 231/569 · cost: $0.000194 · latency: 18808.8 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=correct;n_stmts=19;trace_len=18;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=1;dialect_rules=0;confusability=0;hunt=1;stage=rewrite:insert_dead_read

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

lineage: a00e616c

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Prompt 612 chars · 231 tokens in
Here is a short Python program.

```python
scores = [4, 9, 0]
text = 'kit'
label = 'node'
label = label.replace('a', 'o')
text = text[1:]
budget = scores
text = text[1:]
label = label + 'mint'
label = label.replace('a', 'o')

def shift_by(k, n=4):
    return k * 2 - n

tag = 'ticket_deploy_1'
title = 'ticket_build_2'
mode = 'tkt-45d4a7'
word = mode
prefix = word + ':v2'
scores.append(prefix)
scores.append(len(text))
scores.append(len(label))
```

After this program runs, what is the value of `scores`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 569 tokens out · finish: stop
To find the final value of `scores`, let's trace the execution step-by-step:

1.  `scores = [4, 9, 0]`
2.  `text = 'kit'`
3.  `label = 'node'`
4.  `label = label.replace('a', 'o')` $\rightarrow$ 'node' (no 'a' present)
5.  `text = text[1:]` $\rightarrow$ 'it'
6.  `budget = scores` $\rightarrow$ `budget` now references the same list as `scores`.
7.  `text = text[1:]` $\rightarrow$ 't'
8.  `label = label + 'mint'` $\rightarrow$ 'nodemint'
9.  `label = label.replace('a', 'o')` $\rightarrow$ 'nodemint' (no 'a' present)
10. `def shift_by(k, n=4): ...` (Function defined, not called)
11. `tag = 'ticket_deploy_1'`
12. `title = 'ticket_build_2'`
13. `mode = 'tkt-45d4a7'`
14. `word = mode` $\rightarrow$ 'tkt-45d4a7'
15. `prefix = word + ':v2'` $\rightarrow$ 'tkt-45d4a7:v2'
16. `scores.append(prefix)` $\rightarrow$ `scores` becomes `[4, 9, 0, 'tkt-45d4a7:v2']`
17. `scores.append(len(text))` $\rightarrow$ `text` is 't', so `len(text)` is 1. `scores` becomes `[4, 9, 0, 'tkt-45d4a7:v2', 1]`
18. `scores.append(len(label))` $\rightarrow$ `label` is 'nodemint', so `len(label)` is 8. `scores` becomes `[4, 9, 0, 'tkt-45d4a7:v2', 1, 8]`

Final value of `scores`: `[4, 9, 0, 'tkt-45d4a7:v2', 1, 8]`

ANSWER: [4, 9, 0, 'tkt-45d4a7:v2', 1, 8]
Reasoning not captured

(no reasoning captured)

Realized dims 18
dimvalue
aliasing_on0.0
answer_size32.0
distractor_fraction0.05263157894736842
identifier_confusability0.0
inclusive_range_trap_on0.0
late_binding_on0.0
max_nesting0.0
mutable_default_on0.0
n_closures0.0
n_foil_matches0.0
n_live_aliases1.0
n_statements19.0
n_variables8.0
negative_modulo_on0.0
opaque_literal_on1.0
shadowing_on0.0
trace_length18.0
traps_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_math0.0
late_binding_on0.0
loop_branch0.0
max_nesting1.0
misleading_comments0.0
mutable_default_on0.0
n_statements18.0
n_variables3.0
negative_modulo_on0.0
neutral_comments0.0
opaque_literal_on1.0
shadowing_on0.0
sign_chain0.0
stack_depth0.0
while_on0.0