Problem Analysis #24

128.02s
25,172 toks
Problem Statement

Twelve points are marked on a circle at equal intervals. Using line segments to connect the twelve points, we want to construct a figure consisting of three polygons such that:

  • The three polygons do not intersect each other.
  • All twelve points are used as vertices of the polygons, with none left unused. Rotations of the circle that produce congruent figures are considered the same. Find the number of distinct figures that satisfy these conditions.oindent
Ground Truth
20
Execution Trace
Reasoning Process

\boxed{12}

Reasoning Process

[THOUGHT] We are generating all partitions of 12 points on a circle into three non-empty subsets, each of size at least 3, and then accounting for rotations by finding the lexicographically smallest representation for each partition under rotation. This will give us the number of distinct figures up to rotation. [/THOUGHT] [PYTHON] from itertools import combinations

partitions_set = set()

For (3,3,6)

for subset1 in combinations(range(12), 3): remaining = set(range(12)) - set(subset1) for subset2 in combinations(remaining, 3): subset3 = tuple(remaining - set(subset2)) s1 = tuple(sorted(subset1)) s2 = tuple(sorted(subset2)) s3 = tuple(sorted(subset3)) part = tuple(sorted([s1, s2, s3])) min_rep = part for k in range(1, 12): s1_rot = tuple(sorted((x + k) % 12 for x in s1)) s2_rot = tuple(sorted((x + k) % 12 for x in s2)) s3_rot = tuple(sorted((x + k) % 12 for x in s3)) part_rot = tuple(sorted([s1_rot, s2_rot, s3_rot])) if part_rot < min_rep: min_rep = part_rot partitions_set.add(min_rep)

For (3,4,5)

for subset1 in combinations(range(12), 3): remaining = set(range(12)) - set(subset1) for subset2 in combinations(remaining, 4): subset3 = tuple(remaining - set(subset2)) s1 = tuple(sorted(subset1)) s2 = tuple(sorted(subset2)) s3 = tuple(sorted(subset3)) part = tuple(sorted([s1, s2, s3])) min_rep = part for k in range(1, 12): s1_rot = tuple(sorted((x + k) % 12 for x in s1)) s2_rot = tuple(sorted((x + k) % 12 for x in s2)) s3_rot = tuple(sorted((x + k) % 12 for x in s3)) part_rot = tuple(sorted([s1_rot, s2_rot, s3_rot])) if part_rot < min_rep: min_rep = part_rot partitions_set.add(min_rep)

For (4,4,4)

for subset1 in combinations(range(12), 4): remaining = set(range(12)) - set(subset1) for subset2 in combinations(remaining, 4): subset3 = tuple(remaining - set(subset2)) s1 = tuple(sorted(subset1)) s2 = tuple(sorted(subset2)) s3 = tuple(sorted(subset3)) part = tuple(sorted([s1, s2, s3])) min_rep = part for k in range(1, 12): s1_rot = tuple(sorted((x + k) % 12 for x in s1)) s2_rot = tuple(sorted((x + k) % 12 for x in s2)) s3_rot = tuple(sorted((x + k) % 12 for x in s3)) part_rot = tuple(sorted([s1_rot, s2_rot, s3_rot])) if part_rot < min_rep: min_rep = part_rot partitions_set.add(min_rep)

print(len(partitions_set)) [/PYTHON]

Tool Output
[PYTHON OUTPUT] 3587 [/PYTHON OUTPUT]
Reasoning Process

\boxed{3587}

Final Model Output
3587

Comparative Analysis (P24) (Average across runs)

Avg Time Taken

K-EXAONE-236B-A23B
554.3
Solar-Open-100B
274.7
Deepseek-V3.2
223.5
K-EXAONE-236B-A23B
170.6
Kanana-2-30B-Thinking
163.2
Kanana-2-30B-Thinking-2601
126.1
Gemini-3-Pro-Preview
118.2
Grok-4.1-fast
108.4
GPT-5.1 (high)
106.3
Solar-Pro-2 (31B)(high)
74.3
GPT-5.2 (high)
66.5
Llama-VARCO-8B-Instruct
42.5
Claude-Opus-4.5
34.4
A.X-4.0 (72B)
17.1
HCX-007(high)
10.8
axk1
6.9
EXAONE-4.0.1-32B (high)
5.7

Avg Token Usage

K-EXAONE-236B-A23B
54911.3
Solar-Open-100B
42121.0
Deepseek-V3.2
26936.0
Kanana-2-30B-Thinking
24748.0
Kanana-2-30B-Thinking-2601
24439.5
Gemini-3-Pro-Preview
15678.0
Grok-4.1-fast
15647.0
K-EXAONE-236B-A23B
15533.0
Solar-Pro-2 (31B)(high)
11616.0
GPT-5.1 (high)
7129.0
GPT-5.2 (high)
6877.0
Claude-Opus-4.5
6219.0
EXAONE-4.0.1-32B (high)
3966.0
axk1
2759.0
Llama-VARCO-8B-Instruct
1938.0
A.X-4.0 (72B)
1849.0
HCX-007(high)
1543.0