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节点 n5

heart_jcf_peri reweighting, heart x2.0, edge x0.3 (fake Engineer, node 5)

方法说明?节点程序自带的 METHOD.md：这个程序做了什么、为什么。

来自 programs.git a2726de9ed:solution/METHOD.md

调研员的计划

代码改动?这个节点的程序和父节点程序的逐行差别：绿色是新增，红色是删除。

对比：父节点版本 2f69992829。改动的文件：solution/METHOD.md +3 −0、solution/README.md +0 −4、solution/run.py +11 −8

diff --git a/solution/METHOD.md b/solution/METHOD.mdnew file mode 100644index 0000000..78f5b76--- /dev/null+++ b/solution/METHOD.md@@ -0,0 +1,3 @@+heart_jcf_peri reweighting, heart x2.0, edge x0.3 (fake Engineer, node 5)++Test run only.diff --git a/solution/README.md b/solution/README.mddeleted file mode 100644index e6cdf6f..0000000--- a/solution/README.md+++ /dev/null@@ -1,4 +0,0 @@-# copy_last--输出最新一个输入阶段（proxy：E8.5；final：E9.5），随机无放回抽到榜的细胞上限（T1 5118）。-不改表达，不改组成。这是地板：proxy 预期 ≈ 50（seed 0 实测 49.77；抽到 5118 个细胞，比整份 E8.5 的 50.00 略低）。diff --git a/solution/run.py b/solution/run.pyindex aa4bbf0..0b36e87 100644--- a/solution/run.py+++ b/solution/run.py@@ -1,22 +1,25 @@ #!/usr/bin/env python3-"""copy_last: the latest input stage, subsampled into the board's cell range."""+"""fake-5: heart_jcf_peri weights perturbed by the fake Engineer (test run)."""  from __future__ import annotations  import argparse -import numpy as np-+from src.task1_temporal.reweight import heart_reweight from src.task1_temporal.view_io import (     inputs_by_time,+    labels_of,     load_manifest,     panel_genes,     read_stage,-    sample_rows,     target_n_cells,     write_prediction, ) +HEART_WEIGHT = 2.0+EDGE_WEIGHT = 0.3+N_CELLS = 4000+  def main() -> None:     parser = argparse.ArgumentParser()@@ -24,13 +27,13 @@ def main() -> None:     parser.add_argument("--out", required=True)     parser.add_argument("--seed", type=int, default=0)     args = parser.parse_args()-     manifest = load_manifest(args.data)     genes = panel_genes(args.data, manifest)     last = read_stage(args.data, inputs_by_time(manifest)[-1], genes)-    rng = np.random.default_rng(args.seed)-    rows = sample_rows(last.n_obs, target_n_cells(manifest, last.n_obs), rng)-    write_prediction(last.X[rows], genes, args.out, seed=args.seed)+    pass+    n = target_n_cells(manifest, N_CELLS)+    X = heart_reweight(last.X, labels_of(last), n_cells=n, heart_weight=HEART_WEIGHT, edge_weight=EDGE_WEIGHT, seed=args.seed)+    write_prediction(X, genes, args.out, seed=args.seed)   if __name__ == "__main__":

调研来源?调研员查到并用到的知识条目和文献检索结果（只列标题和编号）。

用到的知识库条目

分析结果?分析员写的 ANALYSIS.json：改了什么、各组分数怎么变、假设是否成立、经验和下一步建议。

对话摘要?每个角色和大模型对话的统计：轮数、工具调用、用时、token 数和最后的回答摘录；原始记录只给路径。

只给统计和最后回答的摘录；完整对话请到原始记录位置里列出的文件看。

分析员

ANALYSIS.json written

工程师

wrote solution/run.py with heart x2.0, edge x0.3 (ok)

调研员

PLAN.json written