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Record c611ae9fbbc24af39dcf1fcc897cb61d

PASS

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

✓PASSanswered "ANSWER: 43" · model Gemma 4 31B QAT

finish_reason: stop · tokens in/out: 264/679 · cost: $0.000230 · latency: 22774.7 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=correct;n_stmts=15;trace_len=25;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=2;confusability=0

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

lineage: c611ae9f

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Prompt 728 chars · 264 tokens in
Here is a short Python program.

This program runs under a Python dialect with these differences from standard Python:
(1) `range(a, b)` INCLUDES its upper bound `b` (so `range(3)` is 0, 1, 2, 3).
(2) `//` and `%` round toward zero (so `-7 // 2` is -3 and `-7 % 2` is -1).

```python
peak = 3
codes = [3, 4, 1, 7]
reserve = 9
for entry in codes:
    reserve -= entry
    reserve -= 6
for idx in range(4):
    peak += idx * 3
codes.extend([peak, 5])
reserve = len(codes) % 4
score = peak - 36
level = score // 7
peak += level
peak += reserve * 2
peak += len(codes)
```

After this program runs, what is the value of `peak`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 679 tokens out · finish: stop
To find the final value of `peak`, we will step through the program line by line, applying the specific rules of the dialect.

**Initial State:**
* `peak = 3`
* `codes = [3, 4, 1, 7]`
* `reserve = 9`

**First Loop:**
`for entry in codes:` (codes has 4 elements)
1. `entry = 3`: `reserve = 9 - 3 - 6 = 0`
2. `entry = 4`: `reserve = 0 - 4 - 6 = -10`
3. `entry = 1`: `reserve = -10 - 1 - 6 = -17`
4. `entry = 7`: `reserve = -17 - 7 - 6 = -30`
*Current state: `reserve = -30`*

**Second Loop:**
`for idx in range(4):`
In this dialect, `range(4)` includes the upper bound, so `idx` takes values: 0, 1, 2, 3, 4.
1. `idx = 0`: `peak = 3 + (0 * 3) = 3`
2. `idx = 1`: `peak = 3 + (1 * 3) = 6`
3. `idx = 2`: `peak = 6 + (2 * 3) = 12`
4. `idx = 3`: `peak = 12 + (3 * 3) = 21`
5. `idx = 4`: `peak = 21 + (4 * 3) = 33`
*Current state: `peak = 33`*

**List Extension:**
`codes.extend([peak, 5])`
`codes` becomes `[3, 4, 1, 7, 33, 5]`
*Current state: `len(codes) = 6`*

**Calculating Reserve:**
`reserve = len(codes) % 4`
`reserve = 6 % 4 = 2`
*Current state: `reserve = 2`*

**Calculating Score and Level:**
`score = peak - 36`
`score = 33 - 36 = -3`

`level = score // 7`
In this dialect, `//` rounds toward zero.
`-3 // 7` in standard Python is -1, but rounding toward zero makes it `0`.
*Current state: `level = 0`*

**Final Adjustments to Peak:**
1. `peak += level` $\rightarrow$ `peak = 33 + 0 = 33`
2. `peak += reserve * 2` $\rightarrow$ `peak = 33 + (2 * 2) = 37`
3. `peak += len(codes)` $\rightarrow$ `peak = 37 + 6 = 43`

ANSWER: 43
Reasoning not captured

(no reasoning captured)

Realized dims 18
dimvalue
aliasing_on0.0
answer_size2.0
distractor_fraction0.0
identifier_confusability0.0
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_statements15.0
n_variables5.0
negative_modulo_on0.0
opaque_literal_on0.0
shadowing_on0.0
trace_length25.0
traps_on0.0
Latent params 13
paramvalue
aliasing_on0.0
dialect_rules2.0
distractor_fraction0.0
identifier_confusability0.0
inclusive_range_trap_on0.0
late_binding_on0.0
max_nesting1.0
mutable_default_on0.0
n_statements14.0
n_variables3.0
negative_modulo_on0.0
opaque_literal_on0.0
shadowing_on0.0