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7180a66 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 | import random
import srsly
from tqdm import tqdm
def load_task_init_mas(n: int, k: int):
N, K = n, k
l = random.sample(range(N * K * 10), N * K)
ans = sorted(l)
random.shuffle(l)
agent_input = [l[i * K : i * K + K] for i in range(N)]
expected_agent_ans = [ans[i * K : i * K + K] for i in range(N)]
dataset = []
for i in tqdm(range(n)):
prompt = f"""
You are Agent-{i} in a multi agent system.
Your task is to output `ys[{i}]` given `xs[{i}]` that passes the following `check_results` by cooperating with other agents.
You can use the given tools to use the BBS for communication. When you have the final answer, submit it using the given `submit` tool.
```
def check_results(n: int, k: int, xs: list[list[int]], ys: list[list[int]]):
xl = []
for x in xs:
xl += x
xl.sort()
yl = []
if len(ys) != n:
return False
for y in ys:
if len(y) != k:
return False
yl += y
return xl == yl
```
n = {N}
k = {K}
xs[{i}] = {agent_input[i]}
"""
agent = {
"agent_id": i,
"prompt": prompt,
"input_data": agent_input[i],
"expected_output": expected_agent_ans[i],
}
dataset.append(agent)
return {"n": n, "k": k, "agents": dataset}
if __name__ == "__main__":
k = 10
for ne in range(1, 7):
n = 10**ne
dataset = load_task_init_mas(n, k)
srsly.write_json(f"masc/task_n{n}_k{k}.json", dataset)
print(ne)
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