Record e5741c0af1374f4c9a1afd1754e7e4b8
FAILVerdict and provenance first; raw prompt/response/reasoning below, collapsed.
✕FAILanswered "ANSWER: [8, 1, 3, 3, 2, 2, 4, 4, 5, 5, 13, 8, 27, 0, 1, 2, 3, 4, -1, 4, 5, 7]"
Why did it fail?
Prompt
Here is a short Python program.
```python
codes = [8, 1]
queue = [3, 2, 4, 5]
marks = [7, 1]
for elem in queue:
codes += [elem]
codes += [elem]
parts = codes
parts.append(13)
shift = 2
def tally_up(n):
return n + shift
shift += 4
codes.append(tally_up(2))
rate = 7
def pack(w):
rate = w * 2 + 1
return rate + 1
height = pack(9)
codes.append(rate + height)
for j in range(5):
codes.append(j)
credit = 4 - 11
score = credit % 6
codes.append(score)
def boost(num, val=[]):
val.append(num)
return len(val) + num
value = boost(4)
spare = boost(2)
codes.append(spare)
codes.append(queue[-1])
codes.append(marks[0])
```
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
Let's trace the execution of the Python code step by step. 1. `codes = [8, 1]` 2. `queue = [3, 2, 4, 5]` 3. `marks = [7, 1]` 4. The `for` loop iterates through `queue`: - `elem = 3`: `codes += [3, 3]` => `codes = [8, 1, 3, 3]` - `elem = 2`: `codes += [2, 2]` => `codes = [8, 1, 3, 3, 2, 2]` - `elem = 4`: `codes += [4, 4]` => `codes = [8, 1, 3, 3, 2, 2, 4, 4]` - `elem = 5`: `codes += [5, 5]` => `codes = [8, 1, 3, 3, 2, 2, 4, 4, 5, 5]` 5. `parts = codes` (parts and codes now point to the same list) 6. `parts.append(13)` => `codes = [8, 1, 3, 3, 2, 2, 4, 4, 5, 5, 13]` 7. `shift = 2` 8. `def tally_up(n): return n + shift` 9. `shift += 4` => `shift = 6` 10. `codes.append(tally_up(2))` => `codes.append(2 + 6)` => `codes.append(8)` => `codes = [8, 1, 3, 3, 2, 2, 4, 4, 5, 5, 13, 8]` 11. `rate = 7` 12. `def pack(w): rate = w * 2 + 1; return rate + 1` 13. `height = pack(9)` => `rate = 9 * 2 + 1 = 19`; `height = 19 + 1 = 20` 14. `codes.append(rate + height)` => `codes.append(7 + 20)` => `codes.append(27)` => `codes = [8, 1, 3, 3, 2, 2, 4, 4, 5, 5, 13, 8, 27]` 15. The `for` loop iterates from `j = 0` to `j = 4`: - `j = 0`: `codes.append(0)` => `codes = [8, 1, 3, 3, 2, 2, 4, 4, 5, 5, 13, 8, 27, 0]` - `j = 1`: `codes.append(1)` => `codes = [8, 1, 3, 3, 2, 2, 4, 4, 5, 5, 13, 8, 27, 0, 1]` - `j = 2`: `codes.append(2)` => `codes = [8, 1, 3, 3, 2, 2, 4, 4, 5, 5, 13, 8, 27, 0, 1, 2]` - `j = 3`: `codes.append(3)` => `codes = [8, 1, 3, 3, 2, 2, 4, 4, 5, 5, 13, 8, 27, 0, 1, 2, 3]` - `j = 4`: `codes.append(4)` => `codes = [8, 1, 3, 3, 2, 2, 4, 4, 5, 5, 13, 8, 27, 0, 1, 2, 3, 4]` 16. `credit = 4 - 11 = -7` 17. `score = credit % 6 = -7 % 6 = -1` 18. `codes.append(score)` => `codes.append(-1)` => `codes = [8, 1, 3, 3, 2, 2, 4, 4, 5, 5, 13, 8, 27, 0, 1, 2, 3, 4, -1]` 19. `def boost(num, val=[]): val.append(num); return len(val) + num` 20. `value = boost(4)` => `val = [4]`; `return 1 + 4 = 5` => `value = 5` 21. `spare = boost(2)` => `val = [4, 2]`; `return 2 + 2 = 4` => `spare = 4` 22. `codes.append(spare)` => `codes.append(4)` => `codes = [8, 1, 3, 3, 2, 2, 4, 4, 5, 5, 13, 8, 27, 0, 1, 2, 3, 4, -1, 4]` 23. `codes.append(queue[-1])` => `codes.append(5)` => `codes = [8, 1, 3, 3, 2, 2, 4, 4, 5, 5, 13, 8, 27, 0, 1, 2, 3, 4, -1, 4, 5]` 24. `codes.append(marks[0])` => `codes.append(7)` => `codes = [8, 1, 3, 3, 2, 2, 4, 4, 5, 5, 13, 8, 27, 0, 1, 2, 3, 4, -1, 4, 5, 7]` ANSWER: [8, 1, 3, 3, 2, 2, 4, 4, 5, 5, 13, 8, 27, 0, 1, 2, 3, 4, -1, 4, 5, 7]
Reasoning
Realized dims
| dim | value |
|---|---|
| aliasing_on | 1.0 |
| answer_size | 68.0 |
| distractor_fraction | 0.0 |
| identifier_confusability | 0.0 |
| inclusive_range_trap_on | 1.0 |
| late_binding_on | 1.0 |
| max_nesting | 1.0 |
| mutable_default_on | 1.0 |
| n_closures | 1.0 |
| n_foil_matches | 1.0 |
| n_live_aliases | 1.0 |
| n_statements | 32.0 |
| n_variables | 11.0 |
| negative_modulo_on | 1.0 |
| shadowing_on | 1.0 |
| trace_length | 44.0 |
| traps_on | 6.0 |
Latent params
| param | value |
|---|---|
| aliasing_on | 1.0 |
| distractor_fraction | 0.0 |
| identifier_confusability | 0.0 |
| inclusive_range_trap_on | 1.0 |
| late_binding_on | 1.0 |
| max_nesting | 1.0 |
| mutable_default_on | 1.0 |
| n_statements | 20.0 |
| n_variables | 3.0 |
| negative_modulo_on | 1.0 |
| shadowing_on | 1.0 |