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Record dc2f86f7cbe5484fb3483266457ccbee

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: 227/605 · cost: $0.000204 · latency: 19989.0 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=correct;n_stmts=18;trace_len=17;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:swap_operands

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

lineage: dc2f86f7

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Prompt 596 chars · 227 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:]
text = text[1:]
label = label + 'mint'
label = label.replace('a', 'o')

def shift_by(k, n=4):
    return 2 * k - 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 605 tokens out · finish: stop
To find the final value of `scores`, let's trace the execution step-by-step:

1.  **Initial state:**
    `scores = [4, 9, 0]`
    `text = 'kit'`
    `label = 'node'`

2.  **String manipulations:**
    *   `label = label.replace('a', 'o')`: `label` is 'node'. There is no 'a', so `label` remains `'node'`.
    *   `text = text[1:]`: `text` becomes `'it'`.
    *   `text = text[1:]`: `text` becomes `'t'`.
    *   `label = label + 'mint'`: `label` becomes `'nodemint'`.
    *   `label = label.replace('a', 'o')`: `label` is 'nodemint'. There is no 'a', so `label` remains `'nodemint'`.

3.  **Function definition:**
    `shift_by(k, n=4)` is defined but never called.

4.  **Variable assignments:**
    *   `tag = 'ticket_deploy_1'`
    *   `title = 'ticket_build_2'`
    *   `mode = 'tkt-45d4a7'`
    *   `word = mode` (so `word` is `'tkt-45d4a7'`)
    *   `prefix = word + ':v2'` (so `prefix` is `'tkt-45d4a7:v2'`)

5.  **Updating `scores` list:**
    *   `scores.append(prefix)`: `scores` becomes `[4, 9, 0, 'tkt-45d4a7:v2']`
    *   `scores.append(len(text))`: `text` is `'t'`, so `len(text)` is `1`. `scores` becomes `[4, 9, 0, 'tkt-45d4a7:v2', 1]`
    *   `scores.append(len(label))`: `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_fraction0.0
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_aliases0.0
n_statements18.0
n_variables8.0
negative_modulo_on0.0
opaque_literal_on1.0
shadowing_on0.0
trace_length17.0
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