ffce2b9bfc
기존 제약(같은 부서 ≤2명) 만으로는 EffTech 0명인 팀 발생 (재배정 전 팀2). 신규 부서 ≥1명 제약 추가로 모든 팀이 기존-신규 섞이도록 보장. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
114 lines
3.4 KiB
Python
114 lines
3.4 KiB
Python
"""
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참가자 35명 → 7팀 (팀당 5명) 배정.
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같은 부서 2명 이하 제약. 랜덤 시드로 재현 가능.
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결과: participants.json (이름→팀 매핑) + 콘솔 출력.
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"""
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import json
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import random
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from collections import Counter
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from pathlib import Path
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PEOPLE = [
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("한지승", "MLOps Platform"),
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("변수민", "MLOps Data"),
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("박재호", "MLOps Data"),
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("김태현", "MLOps Data"),
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("강승형", "MLOps Data"),
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("손현준", "MLOps Data"),
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("김동국", "MLOps Data"),
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("김재현", "MLOps HPC"),
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("이준석", "MLOps HPC"),
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("오근현", "MLOps HPC"),
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("김정명", "MLOps HPC"),
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("김영관", "MLOps HPC"),
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("유용혁", "MLOps HPC"),
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("최호진", "MLOps HPC"),
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("전효준", "MLOps HPC"),
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("김병훈", "MLOps System"),
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("이지환", "MLOps System"),
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("서희", "MLOps System"),
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("정채윤", "MLOps System"),
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("장혁진", "MLOps System"),
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("장다현", "MLOps System"),
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("박영훈", "MLOps System"),
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("길주현", "MLOps System"),
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("조민정", "AI Efficiency Tech"),
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("김민섭", "AI Efficiency Tech"),
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("김호승", "AI Efficiency Tech"),
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("서한배", "AI Efficiency Tech"),
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("심성환", "AI Efficiency Tech"),
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("유준희", "AI Efficiency Tech"),
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("이성재", "AI Efficiency Tech"),
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("이재광", "AI Efficiency Tech"),
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("이정태", "AI Efficiency Tech"),
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("이준형", "AI Efficiency Tech"),
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("정현준", "AI Efficiency Tech"),
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("유지원", "AI Efficiency Tech"),
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]
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NUM_TEAMS = 7
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TEAM_SIZE = 5
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MAX_SAME_DEPT = 2
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SEED = 20260428 # 행사일 시드 (재현 가능)
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# EffTech 신규 합류 → 모든 팀에 ≥1명 필수 (화합 목표)
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NEW_DEPT = "AI Efficiency Tech"
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MIN_NEW_PER_TEAM = 1
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def is_valid(teams):
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for team in teams:
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depts = [d for _, d in team]
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# 같은 부서 ≤ 2명
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if max(Counter(depts).values()) > MAX_SAME_DEPT:
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return False
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# 신규 부서 ≥ 1명
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if depts.count(NEW_DEPT) < MIN_NEW_PER_TEAM:
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return False
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return True
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def assign(seed):
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rng = random.Random(seed)
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for attempt in range(20000):
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shuffled = PEOPLE[:]
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rng.shuffle(shuffled)
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teams = [
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shuffled[i * TEAM_SIZE : (i + 1) * TEAM_SIZE]
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for i in range(NUM_TEAMS)
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]
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if is_valid(teams):
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return teams, attempt + 1
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raise RuntimeError("제약 만족하는 배정 20000회 시도에도 실패")
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def main():
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assert len(PEOPLE) == NUM_TEAMS * TEAM_SIZE, (
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f"인원수 불일치: {len(PEOPLE)}명, 기대 {NUM_TEAMS * TEAM_SIZE}명"
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)
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teams, attempts = assign(SEED)
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print(f"# 시드 {SEED}, 시도 {attempts}회 만에 배정 완료\n")
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mapping = {}
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for i, team in enumerate(teams, 1):
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team_name = f"팀{i}"
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dept_counts = Counter(d for _, d in team)
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dept_summary = ", ".join(f"{d.replace('MLOps ', '').replace('AI Efficiency Tech', 'AI Eff')} {c}" for d, c in dept_counts.items())
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print(f"## {team_name} ({dept_summary})")
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for name, dept in team:
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print(f" - {name} ({dept})")
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mapping[name] = team_name
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print()
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out = Path(__file__).parent / "participants.json"
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out.write_text(
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json.dumps(mapping, ensure_ascii=False, indent=2),
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encoding="utf-8",
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)
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print(f"저장: {out}")
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if __name__ == "__main__":
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main()
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