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节点 n8

heart_jcf_peri reweighting, heart x1.4, edge x0.35 (fake Engineer, node 8)

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 c48829ad9f: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 47800cfe48。改动的文件：solution/METHOD.md +3 −0、solution/README.md +0 −4、solution/run.py +11 −13

diff --git a/solution/METHOD.md b/solution/METHOD.mdnew file mode 100644index 0000000..a7ccb83--- /dev/null+++ b/solution/METHOD.md@@ -0,0 +1,3 @@+heart_jcf_peri reweighting, heart x1.4, edge x0.35 (fake Engineer, node 8)++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 1817fb7..277c530 100644--- a/solution/run.py+++ b/solution/run.py@@ -1,41 +1,39 @@ #!/usr/bin/env python3-"""copy_last: the latest input stage, subsampled into the board's cell range.----ablate <name> (G39.7 contract): accepted and ignored (no mechanism; the control equals the program).-"""+"""fake-8: 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 = 1.4+EDGE_WEIGHT = 0.35+N_CELLS = 4000+  def main() -> None:     parser = argparse.ArgumentParser()     parser.add_argument("--data", required=True)     parser.add_argument("--out", required=True)     parser.add_argument("--seed", type=int, default=0)-    # G39.7 mechanism-off control: copy_last has no mechanism to switch off, so --ablate <any> is the program itself-    parser.add_argument("--ablate", default=None)     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

计划里引用的来源

• fake relay: tool protocol exercised

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

{"changed": "fake relay analysis", "effect_by_group": {}, "hypothesis_supported": "unclear", "failure_reason": null, "lessons": ["fake"], "next_suggestions": ["fake"], "mechanism_active": null}

data

DATA.json written

data_jobs

工程师

wrote solution/run.py with heart x1.4, edge x0.35 (ok)

调研员

{"name": "relay-plan-8", "motivation": "test node 8 through the fake relay. E10.5 心脏中心肌占 28%（FAKE_MEASURED）。", "approach": "perturb the heart / edge weights of the parent's reweighting", "expected_groups": ["cell_state"], "risks": "none (fake)", "family_id": "other", "mechanism": "fake: weight perturbation", "vs_constant_shift": "fake: reweights cells, no shift", "mechanism_evidence": "fake: output differs", "mechanism_off_control": "fake: weights 1.0 reproduce the parent", "sources": ["fake relay: tool protocol exercised"], "data_requests": [{"accession": "GSE999999999", "stages_or_filter": ["E8.0"], "purpose": "fake e2e: refused at metadata"}]}