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Record d19f2b95cd5f4034a128ddf54f7bebd0

PASS

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

✓PASSanswered "ANSWER: [5, 9, 17, 3, 16, 14, 3, 4, 5, -2, 2, 0]" · model Gemma 4 31B QAT

finish_reason: stop · tokens in/out: 317/995 · cost: $0.000330 · latency: 106035.0 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=correct;n_stmts=32;trace_len=36;traps=aliasing_on=1;late_binding_on=1;shadowing_on=1;inclusive_range_trap_on=1;negative_modulo_on=1;mutable_default_on=1;confusability=0

trap kind(s) this world was seeded for: aliasing_on=1

lineage: d19f2b95

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Prompt 806 chars · 317 tokens in
Here is a short Python program.

```python
nums = [5, 9]
queue = [0, 8, 5]
marks = [7, 3]
if len(nums) == 2:
    marks = marks + [1]
queue[-1] = 2
scores = nums
scores.append(17)
nums.append(len(marks))
factor = 5

def adjust(num):
    return num + factor

factor += 5
nums.append(adjust(6))
delta = 2

def shift_by(val):
    delta = val * 2 + 1
    return delta + 1

cost = shift_by(5)
nums.append(delta + cost)
for i in range(3, 6):
    nums.append(i)
peak = 1 - 8
offset = peak // 5
nums.append(offset)

def boost(m, amt=[]):
    amt.append(m)
    return len(amt)

height = boost(7)
rate = boost(4)
nums.append(rate)
nums.append(queue[0])
```

After this program runs, what is the value of `nums`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 995 tokens out · finish: stop
To find the final value of `nums`, let's trace the execution step-by-step:

1.  `nums = [5, 9]`
2.  `queue = [0, 8, 5]`
3.  `marks = [7, 3]`
4.  `if len(nums) == 2:` (True, as `len([5, 9])` is 2)
    *   `marks = marks + [1]` $\rightarrow$ `marks` is now `[7, 3, 1]`
5.  `queue[-1] = 2` $\rightarrow$ `queue` is now `[0, 8, 2]`
6.  `scores = nums` $\rightarrow$ `scores` is a reference to the list `nums`.
7.  `scores.append(17)` $\rightarrow$ `nums` is now `[5, 9, 17]`
8.  `nums.append(len(marks))` $\rightarrow$ `len([7, 3, 1])` is 3. `nums` is now `[5, 9, 17, 3]`
9.  `factor = 5`
10. `def adjust(num): return num + factor`
11. `factor += 5` $\rightarrow$ `factor` is now 10.
12. `nums.append(adjust(6))` $\rightarrow$ `adjust(6)` returns $6 + 10 = 16$. `nums` is now `[5, 9, 17, 3, 16]`
13. `delta = 2`
14. `def shift_by(val):`
    *   `delta = val * 2 + 1` (This creates a **local** variable `delta` inside the function scope).
    *   `return delta + 1`
15. `cost = shift_by(5)` $\rightarrow$ Local `delta` is $5 \times 2 + 1 = 11$. Returns $11 + 1 = 12$. `cost` is 12.
16. `nums.append(delta + cost)` $\rightarrow$ Global `delta` is 2. $2 + 12 = 14$. `nums` is now `[5, 9, 17, 3, 16, 14]`
17. `for i in range(3, 6): nums.append(i)` $\rightarrow$ Appends 3, 4, 5. `nums` is now `[5, 9, 17, 3, 16, 14, 3, 4, 5]`
18. `peak = 1 - 8` $\rightarrow$ `peak` is -7.
19. `offset = peak // 5` $\rightarrow$ `-7 // 5` is -2 (floor division).
20. `nums.append(offset)` $\rightarrow$ `nums` is now `[5, 9, 17, 3, 16, 14, 3, 4, 5, -2]`
21. `def boost(m, amt=[]):` (Note: `amt` is a mutable default argument).
    *   `amt.append(m)`
    *   `return len(amt)`
22. `height = boost(7)` $\rightarrow$ `amt` becomes `[7]`. Returns 1.
23. `rate = boost(4)` $\rightarrow$ `amt` becomes `[7, 4]`. Returns 2.
24. `nums.append(rate)` $\rightarrow$ `nums` is now `[5, 9, 17, 3, 16, 14, 3, 4, 5, -2, 2]`
25. `nums.append(queue[0])` $\rightarrow$ `queue[0]` is 0. `nums` is now `[5, 9, 17, 3, 16, 14, 3, 4, 5, -2, 2, 0]`

ANSWER: [5, 9, 17, 3, 16, 14, 3, 4, 5, -2, 2, 0]
Reasoning not captured

(no reasoning captured)

Realized dims 17
dimvalue
aliasing_on1.0
answer_size40.0
distractor_fraction0.0
identifier_confusability0.0
inclusive_range_trap_on1.0
late_binding_on1.0
max_nesting1.0
mutable_default_on1.0
n_closures1.0
n_foil_matches0.0
n_live_aliases1.0
n_statements32.0
n_variables11.0
negative_modulo_on1.0
shadowing_on1.0
trace_length36.0
traps_on6.0
Latent params 11
paramvalue
aliasing_on1.0
distractor_fraction0.0
identifier_confusability0.0
inclusive_range_trap_on1.0
late_binding_on1.0
max_nesting1.0
mutable_default_on1.0
n_statements24.0
n_variables3.0
negative_modulo_on1.0
shadowing_on1.0