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Record 9a058890e8aa4b578aecf8d55c4f9fcd

PASS

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

✓PASSanswered "ANSWER: [6, 3, 7, 5, 2, 21]" · model Gemma 4 31B QAT

finish_reason: stop · tokens in/out: 254/740 · cost: $0.000247 · latency: 24662.4 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=correct;n_stmts=20;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;confusability=1;hunt=1;stage=base

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

lineage: 9a058890

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Prompt 616 chars · 254 tokens in
Here is a short Python program.

```python
codes = [6, 3]
limit = 6
batch = [5, 1, 4, 8]
cdes = [6, 1, 7, 3]
limit_ = 7
batch_ = [2, 8, 3, 0]
codes.append(limit_)
limit = limit_ * 3
batch = batch + [0]

def adjust(k, n=1):
    return k * 2 + n

def bump(v, arg=1):
    return v * 2 - arg

for x in codes:
    limit_ = adjust(limit, limit)
codes.append(len(batch))
codes.append(batch_[0])
codes.append(limit)
cdes.append(limit_ * 2)
cdes.append(limit)
```

After this program runs, what is the value of `codes`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 740 tokens out · finish: stop
To find the final value of `codes`, let's trace the execution step-by-step:

1.  **Initial State:**
    *   `codes = [6, 3]`
    *   `limit = 6`
    *   `batch = [5, 1, 4, 8]`
    *   `cdes = [6, 1, 7, 3]`
    *   `limit_ = 7`
    *   `batch_ = [2, 8, 3, 0]`

2.  **Initial Modifications:**
    *   `codes.append(limit_)` $\rightarrow$ `codes` becomes `[6, 3, 7]`
    *   `limit = limit_ * 3` $\rightarrow$ `limit = 7 * 3 = 21`
    *   `batch = batch + [0]` $\rightarrow$ `batch` becomes `[5, 1, 4, 8, 0]`

3.  **The Loop:**
    The loop iterates over `codes`. Note that `codes` is being modified inside the loop, but in Python, the iterator for a list tracks the index.
    *   Current `codes`: `[6, 3, 7]`
    *   **Iteration 1:** `x = 6`.
        `limit_ = adjust(limit, limit)` $\rightarrow$ `adjust(21, 21)` $\rightarrow$ `21 * 2 + 21 = 63`.
    *   **Iteration 2:** `x = 3`.
        `limit_ = adjust(limit, limit)` $\rightarrow$ `adjust(21, 21)` $\rightarrow$ `21 * 2 + 21 = 63`.
    *   **Iteration 3:** `x = 7`.
        `limit_ = adjust(limit, limit)` $\rightarrow$ `adjust(21, 21)` $\rightarrow$ `21 * 2 + 21 = 63`.
    (The loop ends here because it started with 3 elements).

4.  **Final Append Operations:**
    *   `codes.append(len(batch))`: `len(batch)` is 5.
        `codes` becomes `[6, 3, 7, 5]`
    *   `codes.append(batch_[0])`: `batch_[0]` is 2.
        `codes` becomes `[6, 3, 7, 5, 2]`
    *   `codes.append(limit)`: `limit` is 21.
        `codes` becomes `[6, 3, 7, 5, 2, 21]`

5.  **Remaining Operations (affecting `cdes`):**
    *   `cdes.append(limit_ * 2)` $\rightarrow$ `63 * 2 = 126`
    *   `cdes.append(limit)` $\rightarrow$ `21`
    (These do not affect `codes`).

Final `codes` list: `[6, 3, 7, 5, 2, 21]`

ANSWER: [6, 3, 7, 5, 2, 21]
Reasoning not captured

(no reasoning captured)

Realized dims 18
dimvalue
aliasing_on0.0
answer_size19.0
distractor_fraction0.0
identifier_confusability1.0
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_statements20.0
n_variables6.0
negative_modulo_on0.0
opaque_literal_on0.0
shadowing_on0.0
trace_length23.0
traps_on0.0
Latent params 21
paramvalue
aliasing_on0.0
chain_depth0.0
dialect_rules0.0
distractor_fraction0.0
identifier_confusability1.0
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_on0.0
shadowing_on0.0
sign_chain0.0
stack_depth0.0
while_on0.0