Problem Analysis #24

Grok-4.1-fast · Run 1

108.41s
15,647 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

[THOUGHT] The problem requires partitioning 12 equally spaced points on a circle into three consecutive blocks of at least 3 points each to form three non-intersecting polygons. Configurations are the same if one is a rotation of the other. To count distinct figures up to rotation, generate all ordered triples (a,b,c) with a,b,c >=3, a+b+c=12. For each, compute the lexicographically smallest rotation of (a,b,c), (b,c,a), (c,a,b). The number of unique such minimal tuples is the number of distinct figures. [/THOUGHT] [PYTHON] triples_min = set() for a in range(3, 10): for b in range(3, 10): c = 12 - a - b if c >= 3: rotations = [(a, b, c), (b, c, a), (c, a, b)] min_rot = min(rotations) triples_min.add(min_rot) print(len(triples_min)) print(triples_min) [/PYTHON]

Tool Output
[PYTHON OUTPUT] 4 {(4, 4, 4), (3, 3, 6), (3, 4, 5), (3, 5, 4)} [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] The Python output confirms there are 4 distinct figures up to rotation. [/THOUGHT] 4\boxed{4}

Explanation

The reasoning identifies that the problem involves partitioning 12 equally spaced points on a circle into three non-intersecting polygons, each using at least 3 consecutive points, with all points used and configurations equivalent under rotation counted as identical. This translates to finding ordered triples (a, b, c) where a, b, c ≥ 3 and a + b + c = 12, then accounting for rotational symmetry.

To count distinct configurations up to rotation, enumerate all valid triples and, for each, compute the lexicographically smallest rotation among (a, b, c), (b, c, a), and (c, a, b). Collect these minimal tuples in a set to eliminate duplicates.

The Python code implements this:

  • Loops over a and b from 3 to 9 (ensuring c = 12 - a - b ≥ 3).
  • For each valid triple, generates its rotations.
  • Adds the minimum rotation (lex smallest) to a set.
  • Outputs the set size (4) and the set: {(4, 4, 4), (3, 3, 6), (3, 4, 5), (3, 5, 4)}.

These four tuples represent distinct necklaces under rotation:

  • (4, 4, 4) is symmetric.
  • (3, 3, 6) and its rotations all minimize to itself.
  • (3, 4, 5) and rotations like (4, 5, 3) minimize to (3, 4, 5).
  • (3, 5, 4) and rotations like (5, 4, 3) minimize to (3, 5, 4), distinct from (3, 4, 5) since no rotation maps one to the other.

The problem specifies only rotations for congruence, not reflections, so (3, 4, 5) and (3, 5, 4) are distinct. The Python output verifies exactly 4 unique minimal tuples, confirming the count.

Final Model Output
4

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
EXAONE-4.0.1-32B (high)
5.7

Avg Token Usage

K-EXAONE-236B-A23B
54,911
Solar-Open-100B
42,121
Deepseek-V3.2
26,936
Kanana-2-30B-Thinking
24,748
Kanana-2-30B-Thinking-2601
24,440
Gemini-3-Pro-Preview
15,678
Grok-4.1-fast
15,647
K-EXAONE-236B-A23B
15,533
Solar-Pro-2 (31B)(high)
11,616
GPT-5.1 (high)
7,129
GPT-5.2 (high)
6,877
Claude-Opus-4.5
6,219
EXAONE-4.0.1-32B (high)
3,966
Llama-VARCO-8B-Instruct
1,938
A.X-4.0 (72B)
1,849
HCX-007(high)
1,543