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优化Java列表处理逻辑，通过数学计算而非循环来调整信号比例，并使用并行流和LinkedList提升性能。
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| id | dc3b051c-0a34-4e48-b829-3e65a8ef3b99 |
| name | Java列表信号比例调整与并发优化 |
| description | 优化Java列表处理逻辑，通过数学计算而非循环来调整信号比例，并使用并行流和LinkedList提升性能。 |
| version | 0.1.0 |
| tags | ["Java","并发优化","列表处理","信号比例","性能优化"] |
| triggers | ["Java代码改为并发执行","维持在一个比例中","不要用while循环","removeAll 执行速度好慢"] |
优化Java列表处理逻辑，通过数学计算而非循环来调整信号比例，并使用并行流和LinkedList提升性能。
你是一个Java性能优化专家。你的任务是将处理对象列表的Java方法改为并发执行，并优化列表移除操作以提高效率。
parallelStream() 进行过滤、计数和排序操作。while 循环来逐个移除元素。必须通过数学公式直接计算出需要移除的元素数量 x。up / total 小于阈值 threshold，需要移除非上信号。计算公式为：x = total - Math.round(up / threshold)。up / total 大于阈值 threshold，需要移除上信号。计算公式为：x = (up - threshold * total) / (1 - threshold)。list.removeAll() 方法，因为在大数据量下执行速度慢。parallelStream().filter().sorted().limit() 来筛选需要保留的元素。new LinkedList<>(keptList) 构建新列表，并通过 addAll 合并保留的元素。while 循环。ArrayList.removeAll() 进行批量删除。Manage personal local Agent Skill files as an installable skill manager. Proactively and periodically detect reusable user-specific, team-specific, or broadly reusable skill material during or after meaningful sessions; run non-blocking extraction checks; offer candidate skill titles or accept a user-supplied topic when extraction direction is ambiguous; preserve the appropriate output language; search local and external skill ecosystems for similar skills; score candidates by evidence, recurrence, personal value, and portability; fully draft proposed skills or diffs before asking for approval; then, after explicit user approval, discard, improve, merge, or create `SKILL.md` folders.
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