Problem Analysis #39

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Problem Statement

Ten empty boxes are arranged in a row, and there are eight balls. The balls are to be placed into the boxes so that no boxes are left unused, the total number of balls is 88, and each box contains at most two balls. (The balls are indistinguishable.) Find the number of such distributions that satisfy the following conditions. [4 points]\begin{center}\fbox{\begin{minipage}{0.9\textwidth}(A) The number of boxes containing exactly one ball is either 44 or 66.(B) Any box containing two balls has empty neighboring boxes.\end{minipage}}\end{center}\

Ground Truth
262
Execution Trace
Reasoning Process

[THOUGHT] Model each distribution as a length-10 sequence with entries 0,1,2 (balls per box). Enforce total balls = 8 and max per box = 2. Apply condition (A): number of 1’s is 4 or 6. Apply condition (B): every 2 must have neighbors (if any) equal to 0. Count sequences satisfying both, and also break down by the two cases for verification. [/THOUGHT] [PYTHON] import itertools

def valid(seq): # total balls and max already ensured by seq in {0,1,2} if sum(seq) != 8: return False ones = seq.count(1) if ones not in (4, 6): return False # condition B: any 2 has empty neighboring boxes n = len(seq) for i, v in enumerate(seq): if v == 2: if i-1 >= 0 and seq[i-1] != 0: return False if i+1 < n and seq[i+1] != 0: return False return True

count_total = 0 count_case = {(2,4):0, (1,6):0} # (twos, ones) for seq in itertools.product([0,1,2], repeat=10): if valid(seq): count_total += 1 count_case[(seq.count(2), seq.count(1))] += 1

print(count_total) print(count_case) [/PYTHON]

Tool Output
[PYTHON OUTPUT] 262 {(2, 4): 150, (1, 6): 112} [/PYTHON OUTPUT]
Reasoning Process

[THOUGHT] The Python count of valid distributions satisfying both (A) and (B) is 262, with 150 in the (4 ones, 2 twos) case and 112 in the (6 ones, 1 two) case. \boxed{262}

Final Model Output
262

Comparative Analysis (P39) (Average across runs)

Avg Time Taken

K-EXAONE-236B-A23B
1324.4
Solar-Pro-2 (31B)(high)
120.6
Kanana-2-30B-Thinking
100.3
Kanana-2-30B-Thinking-2601
98.5
Gemini-3-Pro-Preview
93.8
Deepseek-V3.2
80.4
Grok-4.1-fast
52.3
Llama-VARCO-8B-Instruct
39.2
K-EXAONE-236B-A23B
36.4
HCX-007(high)
34.1
Solar-Open-100B
25.0
GPT-5.2 (high)
21.2
A.X-4.0 (72B)
17.5
Claude-Opus-4.5
16.5
GPT-5.1 (high)
15.3
EXAONE-4.0.1-32B (high)
6.8
axk1
2.9

Avg Token Usage

K-EXAONE-236B-A23B
119267.7
Kanana-2-30B-Thinking-2601
18468.0
Kanana-2-30B-Thinking
16306.0
Solar-Pro-2 (31B)(high)
16125.0
Claude-Opus-4.5
14865.0
Gemini-3-Pro-Preview
10966.0
Grok-4.1-fast
7391.0
Deepseek-V3.2
7336.0
K-EXAONE-236B-A23B
6294.0
Solar-Open-100B
6006.0
EXAONE-4.0.1-32B (high)
4443.0
HCX-007(high)
4160.0
A.X-4.0 (72B)
3832.0
GPT-5.2 (high)
3595.0
GPT-5.1 (high)
2977.0
axk1
2231.0
Llama-VARCO-8B-Instruct
806.0