Data to …… trials

Record d3fa025c7cf74f5cbc94c634c9b47787

PASS

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

✓PASSanswered "ANSWER: 95" · model Gemma 3 27B

finish_reason: stop · tokens in/out: 312/762 · cost: $0.000260 · latency: 17064.7 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=correct;n_stmts=35;trace_len=43;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: d3fa025c

← prev trial · trial 59 of 133 · next trial →

Prompt 836 chars · 312 tokens in
Here is a short Python program.

```python
amount = 7
cells = [0, 9]
values = [5, 6]
for entry in cells:
    amount += entry
    amount = len(values) % 3
codes = [1, 3, 3, 4]
nums = codes
nums[0] = 19
amount += codes[0]
step = 4

def bump(num):
    return num * step

step += 3
amount += bump(4)
count = 8

def grow(acc):
    count = acc * 2 + 1
    return count + 1

width = grow(5)
amount += count + width
factor = 0
for i in range(1, 6):
    factor += i
amount += factor
depth = amount - 86
peak = depth % 5
amount += peak

def tally_up(amt, v=[]):
    v.append(amt)
    return len(v) + amt

limit = tally_up(8)
value = tally_up(6)
amount += value
amount += cells[0]
```

After this program runs, what is the value of `amount`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 762 tokens out · finish: stop
Let's trace the execution of the Python code step by step.

1. `amount = 7`
2. `cells = [0, 9]`
3. `values = [5, 6]`
4. `for entry in cells:`
   - `entry = 0`: `amount += 0` (amount = 7), `amount = len(values) % 3` (amount = 2 % 3 = 2)
   - `entry = 9`: `amount += 9` (amount = 11), `amount = len(values) % 3` (amount = 2 % 3 = 2)
5. `codes = [1, 3, 3, 4]`
6. `nums = codes` (nums and codes now point to the same list)
7. `nums[0] = 19` (codes[0] is also changed to 19)
8. `amount += codes[0]` (amount += 19, amount = 21)
9. `step = 4`
10. `def bump(num):` ...
11. `step += 3` (step = 7)
12. `amount += bump(4)` (amount += 4 * 7 = 28, amount = 49)
13. `count = 8`
14. `def grow(acc):` ...
15. `width = grow(5)` (count = 5 * 2 + 1 = 11, return 11 + 1 = 12, width = 12)
16. `amount += count + width` (amount += 8 + 12 = 20, amount = 69)
17. `factor = 0`
18. `for i in range(1, 6):`
   - `i = 1`: `factor += 1` (factor = 1)
   - `i = 2`: `factor += 2` (factor = 3)
   - `i = 3`: `factor += 3` (factor = 6)
   - `i = 4`: `factor += 4` (factor = 10)
   - `i = 5`: `factor += 5` (factor = 15)
19. `amount += factor` (amount += 15, amount = 84)
20. `depth = amount - 86` (depth = 84 - 86 = -2)
21. `peak = depth % 5` (peak = -2 % 5 = 3)
22. `amount += peak` (amount += 3, amount = 87)
23. `def tally_up(amt, v=[]):` ...
24. `limit = tally_up(8)` (v = [8], return 1 + 8 = 9, limit = 9)
25. `value = tally_up(6)` (v = [8, 6], return 2 + 6 = 8, value = 8)
26. `amount += value` (amount += 8, amount = 95)
27. `amount += cells[0]` (amount += 0, amount = 95)

ANSWER: 95
Reasoning not captured

(no reasoning captured)

Realized dims 17
dimvalue
aliasing_on1.0
answer_size2.0
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_statements35.0
n_variables13.0
negative_modulo_on1.0
shadowing_on1.0
trace_length43.0
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_statements18.0
n_variables3.0
negative_modulo_on1.0
shadowing_on1.0