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@@ -1,5 +1,12 @@
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# 印度占星 Skill 更新日志
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## 2026-10-29 — D60 分盘的星座算法改对
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- 落在金牛、巨蟹、处女、天蝎、摩羯、双鱼上的行星或上升，D60 星座改为从本星座起算（以前多移一个星座）；同一张盘的 D60 星座可能与以前不同。
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- 与外部参照（PyJHora）在 77 例已知出生时间上 77/77 一致；以前只有 33/77。
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- 生时校正 20 条密封案例与 900 个报时窗口，名次与分钟误差与上一份回放逐条相同。
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- Skill 版本不变（BUG-1500，issue #149）。
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## 2026-10-29 — 咨询首字前少等最多 3 秒
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- 判断「是不是寒暄」改为和扣点、记下问题同时进行，不再排在它们后面；真问题首字前最多快约 3 秒。
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+37
-6
@@ -14081,7 +14081,7 @@
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- 防复发：待定。改闸门时，同时用同年、跨年、列表错位三类虚构配对做回归。
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- 相关记录：BUG-689、BUG-740、BUG-1047；ERR-110。
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- 复发自：无。
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- 修复版本：未修。
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- 修复版本：分支 `codex/rectification-d60-two-way-20261028`。
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## BUG-1049 | 生时校正开场没有例子、满是行话，用户不知道该答什么
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@@ -18773,7 +18773,7 @@
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- 防复发：在这项真正交付之前，不得把「少数一侧不足两成仍不出题」写成已经生效。
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- 相关记录：BUG-1367。
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- 复发自：无。
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- 修复版本：未修。
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- 修复版本：分支 `codex/rectification-d60-two-way-20261028`。
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## BUG-1369 | 进入交付区间仍要落后峰值 8 分
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@@ -18788,7 +18788,7 @@
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- 防复发：不得只改写盘或只改读盘。不得用修改 `MIN_SEPARATION_LEAD` 来收窄区间。
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- 相关记录：BUG-423、BUG-560、BUG-1367。
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- 复发自：无。
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- 修复版本：未修。
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- 修复版本：分支 `codex/rectification-d60-two-way-20261028`。
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## BUG-1392 | 分段显示用取整分数，还会跳过缺区间的活候选
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@@ -19174,7 +19174,7 @@
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- 防复发：以后要固定顺序时，遍历前排序，并加不依赖哈希种子的回归。不要在本条未修之前把中文逐字节对比做成不设种子的门禁。
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- 相关记录：BUG-1413。issue #89 修复单顺手记下。
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- 复发自：无。
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- 修复版本：未修。
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- 修复版本：分支 `codex/rectification-d60-two-way-20261028`。
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## BUG-1416 | 中文完整数据附录由英文回译，Dosha 丢否定，友敌矩阵空表
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@@ -19931,7 +19931,7 @@
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- 防复发：待修复单补测试（与 Swiss Ephemeris 日出对比，误差 ≤ 2 分钟）。
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- 相关记录：issue #114。
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- 复发自：无
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- 修复版本：未修。
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- 修复版本：分支 `codex/rectification-d60-two-way-20261028`。
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## BUG-1463 | 单独调 `/api/shadbala` 带出生资料时 500
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@@ -19947,7 +19947,7 @@
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- 防复发：待修复单补接口测试。
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- 相关记录：issue #114。
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- 复发自：无
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- 修复版本：未修。
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- 修复版本：分支 `codex/rectification-d60-two-way-20261028`。
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## BUG-1464 | 存过别人的账户进首页即「页面出错了」
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@@ -20448,6 +20448,7 @@
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- 复发自：无。
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- 修复版本：分支 `codex/upstream-sync9b-20261028`。
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## BUG-1496 | 生时校正复述把日期说了两遍（「2016-09 2016 年 9 月上大学」）
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- 状态：resolved（代码 + 回归测试；待部署后 staging 复测）
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@@ -20462,6 +20463,20 @@
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- 关联：BUG-1136。
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- 复发自：无。
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- 修复版本：分支 `codex/rectification-recap-date-dup-20261028`。
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## BUG-1497 | D60 换格能不能帮生时校正，从没在已知出生时间的人身上测过
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- 状态：closed_by_design（设计上不做；D60 维持「只作参考」）
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- 首次发现 / 最近更新：2026-10-28 / 2026-10-29（issue #149，来源 #142 竞品宣传）
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- 影响面：生时校正的技法路由与对外文案。`skills/jyotish-birth-time-rectification/references/technique-routing.md` 现在写「D60 只作参考，不驱动结论」。
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- 现象：竞品宣传「证据够密时 D60 与纳迪分盘反向校准，收束时刻可以到秒」。纳迪那一半已在 BUG-1240 证伪（N3 ±10 窗口找回记录分钟 5/77，生产 25/77；N4 只换岁差 73/73 换段）；D60 这一半从未在 v5 77 例已知出生时间上检验。
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- 触发条件：用 D60 换格给候选分段打分，或对外宣称「到秒」。
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- 根因：未验证的技法被当成能力宣传；我方没有 D60 换格的评分实现，也没有对照实验。
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- 结论（研究单已做完）：G1 77/77 通过（BUG-1500 修好映射之后）。G2 按先登记口径**不可评估**：D60 换格题只认同日事件，v5 的 77 例里出生当天事件 0 件，B 组加不上任何判据、与 A 组相同。G3 平凡成立；G4 不适用。G5 触发上限：只换岁差（raman→lahiri / kp / true_citra），D60 上升格 77/77 全变（100%，阈值 20%）。因此**不做**：D60 不进校正判据，技法路由与文案不改；对外不出现「到秒 / 分钟级精确」，与 BUG-1240 同一口径。
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- 验证：报告 `docs/research/rectification_d60_two_way_2026_10_29.md`；结果 `docs/research/d60_two_way_results_2026_10_29.json`（G1）与 `docs/research/d60_two_way_g2_g5_results_2026_10_29.json`（G2 预检与 G5），分别由 `scripts/research/d60_two_way_run.py` 与 `scripts/research/d60_two_way_g2_g5.py` 生成，可逐字节复跑；先登记 `docs/research/d60_two_way_preregistration_2026_10_28.json`。
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- 防复发：研究单写死「先登记再跑、真值不可见、必须有安慰剂、负结果照写」。
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- 关联：BUG-1240、BUG-560、BUG-1090、BUG-1091。
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- 复发自：无。
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- 修复版本：无（closed_by_design；研究分支 `codex/rectification-d60-two-way-20261028`）。
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## BUG-1498 | staging 门禁 Python 快速门失败：`test_daily_starlanguage_does_not_eat_yesterday_cache` 网关调用 0 次
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@@ -20493,3 +20508,19 @@
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- 关联：BUG-976（寒暄先扣后退）、BUG-1074（开流前的串行链）、#134（同批提速）。
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- 复发自：无
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- 修复版本：分支 `codex/consult-classify-parallel-20261029`。
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## BUG-1500 | 生产 D60 映射把 1-based 偶数星座整体后移一个星座
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- 状态：resolved（代码 + 回归测试；待部署）
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- 首次发现 / 最近更新：2026-10-28 / 2026-10-28（issue #149，G1 三引擎对账）
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- 影响面：`scripts/varga.py::varga_map` 的 D60 分支（生产默认 `classical_local` 模式）。技法路由目前写「D60 只作参考」，不进校正打分。
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- 现象：v5 的 77 例已知出生时间里，生产 D60 上升星座与 PyJHora（traditional Parasara，from sign）只一致 33 例；其余 44 例全部差 +1 个星座，且 44 例全是 1-based 偶数星座（金牛、巨蟹、处女、天蝎、摩羯、双鱼）。本仓 `mode='vedastro'` 的 D60 映射与 PyJHora 77/77 一致。
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- 触发条件：读取生产 D60（`calc_varga(lon, 60)` 默认模式）。
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- 根因：`varga_map` 的 D60 分支是 `(si+pi)%12 if o else (si+1+pi)%12`（`o` 为 1-based 奇数星座），对 1-based 偶数星座加 1；同文件 vedastro 映射是 `(si+pi)%12`。两套内部映射不一致，外部引擎与 vedastro 那套一致。哪一套符合来源尚未裁决，不预设 classical 就是错。
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- 修复：`varga_map` 的 D60 分支改为 `(si+pi)%12`，奇偶星座都从本星座起算，并加注释指向 `references/shodasavarga-complete-guide.md` 与 PyJHora 对账（BUG-1500）。vedastro 模式与其他分盘未动。
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- 验证：新增 `tests/test_d60_varga_mapping.py`（12 个星座 × 60 段逐段对 PyJHora；偶数星座第 1 段落在本星座）。G1 脚本 `scripts/research/d60_two_way_run.py` 重跑 77/77 一致（`docs/research/d60_two_way_results_2026_10_29.json`）。密封校正 20 条与报时窗口 900 条与 sync9b 记录逐条相同，按 ERR-110 重新冻结为 `d60_mapping_2026_10_29`。`tests/test_varga_bphs.py`、`tests/test_upstream_sync9b_varga_bphs.py`、`tests/test_deep_varga_avastha.py`、`tests/test_divisional_charts_extended.py`、`tests/test_cli_smoke.py` 通过；`tests/test_d1_d60_varga_mapping_registry.py` 依赖的 `python3` 在本机不存在，属环境缺口。
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- 防复发：`tests/test_d60_varga_mapping.py` 锁定「从本星座起算」；classical 与 vedastro 现在同一条规则，外部引擎对账留作回归。
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- 关联：BUG-1497。
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- 复发自：无。
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- 修复版本：分支 `codex/rectification-d60-two-way-20261028`。
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File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,78 @@
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{
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"scope": "d60_two_way_preregistration",
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"task": "docs/tasks/TASK-rectification-d60-two-way-20261028.md",
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"fix_brief": "docs/tasks/TASK-rectification-d60-fix-20261029.md",
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"issue": 149,
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"bug": "BUG-1497",
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"branch": "codex/rectification-d60-two-way-20261028",
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"base_sha": "129313e1759026d6c0afdc27ea2905da2915992a",
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"dataset": {
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"path": "references/real_case_calibration/minute_rectification_holdout_v5.json",
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"sha256": "ab365a3e3f4953d4b538f2c0889dc98ab89444a28340c3a7b29e2a864cdd687a",
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"cases": 77,
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"events": 964
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},
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"profile": {
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"ayanamsa": "raman",
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"node_mode": "mean",
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"minute_step": 2,
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"radii_minutes": [
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10,
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30,
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60
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],
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"bootstrap_resamples": 5000,
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"permutation_resamples": 9999,
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"seed": 20261028,
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"hash_seed": 0
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},
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"group_a": {
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"definition": "production V9 six-question replay, protocol identical to the v5 baseline (cluster_width_probe replay_public).",
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"source": "scripts/research/cluster_width_probe.py::replay_public"
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},
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"group_b": {
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"rule_id": "d60_same_day_boundary_probe_v1",
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"boundaries": "every ascendant D60 sign change inside the +/-radius window on the 2-minute candidate grid (raman, mean node, production mapping).",
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"probe": "one 'was the event before or after this boundary' question per boundary, answered and applied with the same apply_answer machinery as group A.",
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"answer_policy": "answer only when an event date equals the boundary date; otherwise the probe is skipped and no candidate is eliminated.",
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"reason": "a date-only event on another day would answer every boundary on the birth day the same way (always after), which eliminates one side of the window without evidence.",
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"required_precheck": "count, per case, events whose date equals the birth date before scoring; if every case has zero, G2/G3/G4 are reported as not evaluable by construction, not as a measured zero."
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},
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"gates": {
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"G1": {
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"status": "passed",
|
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"evidence": "docs/research/d60_two_way_results_2026_10_29.json (77/77 after BUG-1500)",
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"threshold": ">=0.95 agreement with one external engine"
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},
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"G2": {
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"metric": "share of cases where the six-question replay head is within 2 minutes of the recorded minute",
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"statistic": "B minus A, case bootstrap 5000 resamples, one-sided lower bound",
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"pass": "lower bound > 0",
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"seed": 20261028
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},
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"G3": {
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"metric": "cases whose recorded minute stays inside the delivered range",
|
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"pass": "B >= A (A baseline 76/77 at +/-10)"
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},
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"G4": {
|
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"placebos": [
|
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"P1: day-precision events shifted by +/-30-180 days",
|
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"P2: day-precision dates swapped across cases"
|
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],
|
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"statistic": "one-sided permutation 9999 resamples of the B-minus-A lift",
|
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"pass": "p < 0.05 against both placebos"
|
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},
|
||||
"G5": {
|
||||
"metric": "share of cases where the ascendant D60 sign at the recorded time changes when the ayanamsa is switched raman -> lahiri / kp / true_citra",
|
||||
"pass": "any switch above 0.20 forbids 'to the second / minute-level precision' wording even if G2-G4 pass"
|
||||
}
|
||||
},
|
||||
"stop_rules": [
|
||||
"no scoring before this file is committed",
|
||||
"G1 failing stops G2-G5",
|
||||
"G2 or G3 failing ends the question as 'do not adopt'",
|
||||
"no threshold or seed changes after seeing results; any post-hoc number is reported in a separate post-hoc section and cannot change a gate",
|
||||
"production code, skill routing and external wording stay unchanged in this round"
|
||||
],
|
||||
"post_hoc_policy": "any analysis not in this file is labelled post_hoc and cannot change a gate verdict"
|
||||
}
|
||||
@@ -0,0 +1,833 @@
|
||||
{
|
||||
"task": "docs/tasks/TASK-rectification-d60-two-way-20261028.md",
|
||||
"issue": 149,
|
||||
"bug": "BUG-1497",
|
||||
"gate": "G1 three-engine D60 reconciliation",
|
||||
"generated_at_utc": "2026-10-28T12:02:20.260551+00:00",
|
||||
"dataset": {
|
||||
"path": "references/real_case_calibration/minute_rectification_holdout_v5.json",
|
||||
"sha256": "ab365a3e3f4953d4b538f2c0889dc98ab89444a28340c3a7b29e2a864cdd687a",
|
||||
"cases": 77
|
||||
},
|
||||
"profile": {
|
||||
"ayanamsa": "raman",
|
||||
"node_mode": "mean",
|
||||
"house_system": "production compute_chart_data",
|
||||
"pyjhora_ayanamsa_mode": "Raman",
|
||||
"pyjhora_chart_method": 1
|
||||
},
|
||||
"engines": {
|
||||
"own_classical_local": "varga.calc_varga(lon, 60) (production default)",
|
||||
"own_vedastro_mode": "varga.calc_varga(lon, 60, mode='vedastro') (VEDASTRO_RAW_VERIFIED_DIVISIONS includes 60)",
|
||||
"pyjhora": "jhora.horoscope.chart.charts.divisional_chart(jd, place, divisional_chart_factor=60), Lagna entry",
|
||||
"jyotishganit": "blocked: not installed in this environment",
|
||||
"vedastro": "blocked: no live call made in this run"
|
||||
},
|
||||
"result": {
|
||||
"cases": 77,
|
||||
"classical_matches": 33,
|
||||
"classical_rate": 0.4286,
|
||||
"vedastro_matches": 77,
|
||||
"vedastro_rate": 1.0,
|
||||
"mismatch_delta_histogram": {
|
||||
"0": 33,
|
||||
"1": 44,
|
||||
"2": 0,
|
||||
"3": 0,
|
||||
"4": 0,
|
||||
"5": 0,
|
||||
"6": 0,
|
||||
"7": 0,
|
||||
"8": 0,
|
||||
"9": 0,
|
||||
"10": 0,
|
||||
"11": 0
|
||||
},
|
||||
"mismatches_by_asc_sign_parity": {
|
||||
"odd_1based": {
|
||||
"cases": 33,
|
||||
"matches": 33
|
||||
},
|
||||
"even_1based": {
|
||||
"cases": 44,
|
||||
"matches": 0
|
||||
}
|
||||
},
|
||||
"gate_passed": false,
|
||||
"gate_threshold": ">=95% agreement with at least one external engine",
|
||||
"stop_rule": "G1 failing stops G2-G5 per the brief"
|
||||
},
|
||||
"finding": "The production classical D60 mapping shifts every 1-based even sign by one sign relative to PyJHora; the repository's own vedastro-mode D60 mapping agrees with PyJHora on all 77 cases. No scoring gate was run.",
|
||||
"instances": [
|
||||
{
|
||||
"case_id": "albert_brooks_1947_aa_v4_holdout",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
{
|
||||
"case_id": "andrew_windsor_1960_aa_v4_holdout",
|
||||
"asc_sign_idx": 3,
|
||||
"ascendant_longitude": 109.6959,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "angelina_jolie_1975_aa_v4_holdout",
|
||||
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|
||||
"ascendant_longitude": 96.8001,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
{
|
||||
"case_id": "barack_obama_1961_aa_v4_holdout",
|
||||
"asc_sign_idx": 9,
|
||||
"ascendant_longitude": 296.1798,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
{
|
||||
"case_id": "bernd_eichinger_1949_aa_v4_holdout",
|
||||
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|
||||
"ascendant_longitude": 107.0009,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
{
|
||||
"case_id": "chad_everett_1937_aa_v4_holdout",
|
||||
"asc_sign_idx": 8,
|
||||
"ascendant_longitude": 269.6959,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "elizabeth_montgomery_1933_aa_v4_holdout",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
{
|
||||
"case_id": "elizabeth_taylor_1932_aa_v4_holdout",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "iwao_takamoto_1925_aa_v4_holdout",
|
||||
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|
||||
"ascendant_longitude": 216.2833,
|
||||
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|
||||
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|
||||
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|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "john_robbins_1947_aa_v4_holdout",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "joseph_kennedy_iii_1980_aa_v4_holdout",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "kurt_cobain_1967_aa_v4_holdout",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "pablo_picasso_1881_aa_v4_holdout",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "paul_ryan_1970_aa_v4_holdout",
|
||||
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|
||||
"ascendant_longitude": 218.6428,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
{
|
||||
"case_id": "salma_hayek_1966_aa_v4_holdout",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "sean_lennon_1975_aa_v4_holdout",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "sigmund_freud_1856_aa_v4_holdout",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "steve_reich_1936_aa_v4_holdout",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "tiger_woods_1975_aa_v4_holdout",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
},
|
||||
{
|
||||
"case_id": "tom_kennedy_1927_aa_v4_holdout",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "adriana_lima_1981_aa_v5_holdout",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "agatha_christie_1890_aa_v5_holdout",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "albert_einstein_1879_aa_v5_holdout",
|
||||
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|
||||
"ascendant_longitude": 80.9181,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "alberto_fujimori_1938_aa_v5_holdout",
|
||||
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|
||||
"ascendant_longitude": 30.0607,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "arthur_conan_doyle_1859_aa_v5_holdout",
|
||||
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|
||||
"ascendant_longitude": 59.3382,
|
||||
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|
||||
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|
||||
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|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "audrey_hepburn_1929_aa_v5_holdout",
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "ayrton_senna_1960_aa_v5_holdout",
|
||||
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|
||||
"ascendant_longitude": 289.3969,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "barbra_streisand_1942_aa_v5_holdout",
|
||||
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|
||||
"ascendant_longitude": 346.7636,
|
||||
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|
||||
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|
||||
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|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "beyonce_1981_aa_v5_holdout",
|
||||
"asc_sign_idx": 0,
|
||||
"ascendant_longitude": 6.8595,
|
||||
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|
||||
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|
||||
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|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "bob_dylan_1941_aa_v5_holdout",
|
||||
"asc_sign_idx": 7,
|
||||
"ascendant_longitude": 238.7367,
|
||||
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|
||||
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|
||||
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|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "brigitte_bardot_1934_aa_v5_holdout",
|
||||
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|
||||
"ascendant_longitude": 233.8797,
|
||||
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|
||||
"d60_vedastro_mode": 6,
|
||||
"d60_pyjhora_method1": 6,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "bruce_lee_1940_aa_v5_holdout",
|
||||
"asc_sign_idx": 7,
|
||||
"ascendant_longitude": 224.6155,
|
||||
"d60_classical": 1,
|
||||
"d60_vedastro_mode": 0,
|
||||
"d60_pyjhora_method1": 0,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "catherine_deneuve_1943_aa_v5_holdout",
|
||||
"asc_sign_idx": 8,
|
||||
"ascendant_longitude": 259.5116,
|
||||
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|
||||
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|
||||
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|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "charles_de_gaulle_1890_aa_v5_holdout",
|
||||
"asc_sign_idx": 6,
|
||||
"ascendant_longitude": 181.278,
|
||||
"d60_classical": 8,
|
||||
"d60_vedastro_mode": 8,
|
||||
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|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "cher_1946_aa_v5_holdout",
|
||||
"asc_sign_idx": 2,
|
||||
"ascendant_longitude": 76.9514,
|
||||
"d60_classical": 11,
|
||||
"d60_vedastro_mode": 11,
|
||||
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|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "clint_eastwood_1930_aa_v5_holdout",
|
||||
"asc_sign_idx": 6,
|
||||
"ascendant_longitude": 207.1468,
|
||||
"d60_classical": 0,
|
||||
"d60_vedastro_mode": 0,
|
||||
"d60_pyjhora_method1": 0,
|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "daniel_barenboim_1942_aa_v5_holdout",
|
||||
"asc_sign_idx": 9,
|
||||
"ascendant_longitude": 292.2015,
|
||||
"d60_classical": 6,
|
||||
"d60_vedastro_mode": 5,
|
||||
"d60_pyjhora_method1": 5,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "diane_cilento_1932_aa_v5_holdout",
|
||||
"asc_sign_idx": 9,
|
||||
"ascendant_longitude": 290.6112,
|
||||
"d60_classical": 3,
|
||||
"d60_vedastro_mode": 2,
|
||||
"d60_pyjhora_method1": 2,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "dingdong_dantes_1980_aa_v5_holdout",
|
||||
"asc_sign_idx": 6,
|
||||
"ascendant_longitude": 181.5986,
|
||||
"d60_classical": 9,
|
||||
"d60_vedastro_mode": 9,
|
||||
"d60_pyjhora_method1": 9,
|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "donald_trump_1946_aa_v5_holdout",
|
||||
"asc_sign_idx": 4,
|
||||
"ascendant_longitude": 128.3089,
|
||||
"d60_classical": 8,
|
||||
"d60_vedastro_mode": 8,
|
||||
"d60_pyjhora_method1": 8,
|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "edith_piaf_1915_aa_v5_holdout",
|
||||
"asc_sign_idx": 7,
|
||||
"ascendant_longitude": 212.402,
|
||||
"d60_classical": 0,
|
||||
"d60_vedastro_mode": 11,
|
||||
"d60_pyjhora_method1": 11,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "elvis_presley_1935_aa_v5_holdout",
|
||||
"asc_sign_idx": 7,
|
||||
"ascendant_longitude": 230.8658,
|
||||
"d60_classical": 1,
|
||||
"d60_vedastro_mode": 0,
|
||||
"d60_pyjhora_method1": 0,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "francois_hollande_1954_aa_v5_holdout",
|
||||
"asc_sign_idx": 1,
|
||||
"ascendant_longitude": 46.0748,
|
||||
"d60_classical": 10,
|
||||
"d60_vedastro_mode": 9,
|
||||
"d60_pyjhora_method1": 9,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "frida_kahlo_1907_aa_v5_holdout",
|
||||
"asc_sign_idx": 4,
|
||||
"ascendant_longitude": 122.4798,
|
||||
"d60_classical": 8,
|
||||
"d60_vedastro_mode": 8,
|
||||
"d60_pyjhora_method1": 8,
|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "george_w_bush_1946_aa_v5_holdout",
|
||||
"asc_sign_idx": 3,
|
||||
"ascendant_longitude": 105.4441,
|
||||
"d60_classical": 10,
|
||||
"d60_vedastro_mode": 9,
|
||||
"d60_pyjhora_method1": 9,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "gisele_bundchen_1980_aa_v5_holdout",
|
||||
"asc_sign_idx": 8,
|
||||
"ascendant_longitude": 263.6478,
|
||||
"d60_classical": 7,
|
||||
"d60_vedastro_mode": 7,
|
||||
"d60_pyjhora_method1": 7,
|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "gustavo_kuerten_1976_aa_v5_holdout",
|
||||
"asc_sign_idx": 3,
|
||||
"ascendant_longitude": 92.6966,
|
||||
"d60_classical": 9,
|
||||
"d60_vedastro_mode": 8,
|
||||
"d60_pyjhora_method1": 8,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "imelda_marcos_1929_aa_v5_holdout",
|
||||
"asc_sign_idx": 2,
|
||||
"ascendant_longitude": 77.1545,
|
||||
"d60_classical": 0,
|
||||
"d60_vedastro_mode": 0,
|
||||
"d60_pyjhora_method1": 0,
|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "janis_joplin_1943_aa_v5_holdout",
|
||||
"asc_sign_idx": 10,
|
||||
"ascendant_longitude": 303.9231,
|
||||
"d60_classical": 5,
|
||||
"d60_vedastro_mode": 5,
|
||||
"d60_pyjhora_method1": 5,
|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "jennifer_aniston_1969_aa_v5_holdout",
|
||||
"asc_sign_idx": 6,
|
||||
"ascendant_longitude": 182.6838,
|
||||
"d60_classical": 11,
|
||||
"d60_vedastro_mode": 11,
|
||||
"d60_pyjhora_method1": 11,
|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "jimi_hendrix_1942_aa_v5_holdout",
|
||||
"asc_sign_idx": 8,
|
||||
"ascendant_longitude": 243.0694,
|
||||
"d60_classical": 2,
|
||||
"d60_vedastro_mode": 2,
|
||||
"d60_pyjhora_method1": 2,
|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "johnny_depp_1963_aa_v5_holdout",
|
||||
"asc_sign_idx": 3,
|
||||
"ascendant_longitude": 110.5385,
|
||||
"d60_classical": 9,
|
||||
"d60_vedastro_mode": 8,
|
||||
"d60_pyjhora_method1": 8,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "judy_garland_1922_aa_v5_holdout",
|
||||
"asc_sign_idx": 2,
|
||||
"ascendant_longitude": 79.5603,
|
||||
"d60_classical": 5,
|
||||
"d60_vedastro_mode": 5,
|
||||
"d60_pyjhora_method1": 5,
|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "juscelino_kubitschek_1902_aa_v5_holdout",
|
||||
"asc_sign_idx": 9,
|
||||
"ascendant_longitude": 274.8708,
|
||||
"d60_classical": 7,
|
||||
"d60_vedastro_mode": 6,
|
||||
"d60_pyjhora_method1": 6,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "kamala_harris_1964_aa_v5_holdout",
|
||||
"asc_sign_idx": 2,
|
||||
"ascendant_longitude": 62.5086,
|
||||
"d60_classical": 7,
|
||||
"d60_vedastro_mode": 7,
|
||||
"d60_pyjhora_method1": 7,
|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "leonardo_dicaprio_1974_aa_v5_holdout",
|
||||
"asc_sign_idx": 5,
|
||||
"ascendant_longitude": 161.0553,
|
||||
"d60_classical": 4,
|
||||
"d60_vedastro_mode": 3,
|
||||
"d60_pyjhora_method1": 3,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "lionel_messi_1987_aa_v5_holdout",
|
||||
"asc_sign_idx": 9,
|
||||
"ascendant_longitude": 282.7709,
|
||||
"d60_classical": 11,
|
||||
"d60_vedastro_mode": 10,
|
||||
"d60_pyjhora_method1": 10,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "lou_diamond_phillips_1962_aa_v5_holdout",
|
||||
"asc_sign_idx": 3,
|
||||
"ascendant_longitude": 116.2537,
|
||||
"d60_classical": 8,
|
||||
"d60_vedastro_mode": 7,
|
||||
"d60_pyjhora_method1": 7,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "manuel_puig_1932_aa_v5_holdout",
|
||||
"asc_sign_idx": 6,
|
||||
"ascendant_longitude": 186.6657,
|
||||
"d60_classical": 7,
|
||||
"d60_vedastro_mode": 7,
|
||||
"d60_pyjhora_method1": 7,
|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "marilyn_monroe_1926_aa_v5_holdout",
|
||||
"asc_sign_idx": 3,
|
||||
"ascendant_longitude": 111.6899,
|
||||
"d60_classical": 11,
|
||||
"d60_vedastro_mode": 10,
|
||||
"d60_pyjhora_method1": 10,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "meryl_streep_1949_aa_v5_holdout",
|
||||
"asc_sign_idx": 3,
|
||||
"ascendant_longitude": 101.0442,
|
||||
"d60_classical": 2,
|
||||
"d60_vedastro_mode": 1,
|
||||
"d60_pyjhora_method1": 1,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "miley_cyrus_1992_aa_v5_holdout",
|
||||
"asc_sign_idx": 1,
|
||||
"ascendant_longitude": 36.3265,
|
||||
"d60_classical": 2,
|
||||
"d60_vedastro_mode": 1,
|
||||
"d60_pyjhora_method1": 1,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "muhammad_ali_1942_aa_v5_holdout",
|
||||
"asc_sign_idx": 3,
|
||||
"ascendant_longitude": 117.9238,
|
||||
"d60_classical": 11,
|
||||
"d60_vedastro_mode": 10,
|
||||
"d60_pyjhora_method1": 10,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "nicolas_sarkozy_1955_aa_v5_holdout",
|
||||
"asc_sign_idx": 5,
|
||||
"ascendant_longitude": 154.3377,
|
||||
"d60_classical": 2,
|
||||
"d60_vedastro_mode": 1,
|
||||
"d60_pyjhora_method1": 1,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "pele_1940_aa_v5_holdout",
|
||||
"asc_sign_idx": 4,
|
||||
"ascendant_longitude": 137.9234,
|
||||
"d60_classical": 3,
|
||||
"d60_vedastro_mode": 3,
|
||||
"d60_pyjhora_method1": 3,
|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "piolo_pascual_1977_aa_v5_holdout",
|
||||
"asc_sign_idx": 4,
|
||||
"ascendant_longitude": 132.9944,
|
||||
"d60_classical": 5,
|
||||
"d60_vedastro_mode": 5,
|
||||
"d60_pyjhora_method1": 5,
|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "prince_1958_aa_v5_holdout",
|
||||
"asc_sign_idx": 6,
|
||||
"ascendant_longitude": 204.8647,
|
||||
"d60_classical": 7,
|
||||
"d60_vedastro_mode": 7,
|
||||
"d60_pyjhora_method1": 7,
|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "rafael_nadal_1986_aa_v5_holdout",
|
||||
"asc_sign_idx": 6,
|
||||
"ascendant_longitude": 197.6444,
|
||||
"d60_classical": 5,
|
||||
"d60_vedastro_mode": 5,
|
||||
"d60_pyjhora_method1": 5,
|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "rudy_fernandez_1952_aa_v5_holdout",
|
||||
"asc_sign_idx": 5,
|
||||
"ascendant_longitude": 178.9455,
|
||||
"d60_classical": 3,
|
||||
"d60_vedastro_mode": 2,
|
||||
"d60_pyjhora_method1": 2,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "salvador_dali_1904_aa_v5_holdout",
|
||||
"asc_sign_idx": 3,
|
||||
"ascendant_longitude": 91.157,
|
||||
"d60_classical": 6,
|
||||
"d60_vedastro_mode": 5,
|
||||
"d60_pyjhora_method1": 5,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "serena_williams_1981_aa_v5_holdout",
|
||||
"asc_sign_idx": 0,
|
||||
"ascendant_longitude": 11.0106,
|
||||
"d60_classical": 10,
|
||||
"d60_vedastro_mode": 10,
|
||||
"d60_pyjhora_method1": 10,
|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "silvio_santos_1930_aa_v5_holdout",
|
||||
"asc_sign_idx": 5,
|
||||
"ascendant_longitude": 152.8918,
|
||||
"d60_classical": 11,
|
||||
"d60_vedastro_mode": 10,
|
||||
"d60_pyjhora_method1": 10,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "sophia_loren_1934_aa_v5_holdout",
|
||||
"asc_sign_idx": 8,
|
||||
"ascendant_longitude": 253.9547,
|
||||
"d60_classical": 11,
|
||||
"d60_vedastro_mode": 11,
|
||||
"d60_pyjhora_method1": 11,
|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "venus_williams_1980_aa_v5_holdout",
|
||||
"asc_sign_idx": 5,
|
||||
"ascendant_longitude": 171.3938,
|
||||
"d60_classical": 0,
|
||||
"d60_vedastro_mode": 11,
|
||||
"d60_pyjhora_method1": 11,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "vincent_van_gogh_1853_aa_v5_holdout",
|
||||
"asc_sign_idx": 3,
|
||||
"ascendant_longitude": 90.7335,
|
||||
"d60_classical": 5,
|
||||
"d60_vedastro_mode": 4,
|
||||
"d60_pyjhora_method1": 4,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "whitney_houston_1963_aa_v5_holdout",
|
||||
"asc_sign_idx": 10,
|
||||
"ascendant_longitude": 316.5233,
|
||||
"d60_classical": 7,
|
||||
"d60_vedastro_mode": 7,
|
||||
"d60_pyjhora_method1": 7,
|
||||
"classical_matches_pyjhora": true,
|
||||
"vedastro_matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"case_id": "zinedine_zidane_1972_aa_v5_holdout",
|
||||
"asc_sign_idx": 1,
|
||||
"ascendant_longitude": 36.9097,
|
||||
"d60_classical": 3,
|
||||
"d60_vedastro_mode": 2,
|
||||
"d60_pyjhora_method1": 2,
|
||||
"classical_matches_pyjhora": false,
|
||||
"vedastro_matches_pyjhora": true
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -0,0 +1,565 @@
|
||||
{
|
||||
"brief": "docs/tasks/TASK-rectification-d60-fix-20261029.md",
|
||||
"bug": "BUG-1500",
|
||||
"cases": [
|
||||
{
|
||||
"ascendant_longitude": 71.1909,
|
||||
"case_id": "albert_brooks_1947_aa_v4_holdout",
|
||||
"d60_sign_idx_production": 0,
|
||||
"d60_sign_idx_pyjhora": 0,
|
||||
"matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"ascendant_longitude": 109.6959,
|
||||
"case_id": "andrew_windsor_1960_aa_v4_holdout",
|
||||
"d60_sign_idx_production": 6,
|
||||
"d60_sign_idx_pyjhora": 6,
|
||||
"matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"ascendant_longitude": 96.8001,
|
||||
"case_id": "angelina_jolie_1975_aa_v4_holdout",
|
||||
"d60_sign_idx_production": 4,
|
||||
"d60_sign_idx_pyjhora": 4,
|
||||
"matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"ascendant_longitude": 296.1798,
|
||||
"case_id": "barack_obama_1961_aa_v4_holdout",
|
||||
"d60_sign_idx_production": 1,
|
||||
"d60_sign_idx_pyjhora": 1,
|
||||
"matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"ascendant_longitude": 107.0009,
|
||||
"case_id": "bernd_eichinger_1949_aa_v4_holdout",
|
||||
"d60_sign_idx_production": 1,
|
||||
"d60_sign_idx_pyjhora": 1,
|
||||
"matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"ascendant_longitude": 269.6959,
|
||||
"case_id": "chad_everett_1937_aa_v4_holdout",
|
||||
"d60_sign_idx_production": 7,
|
||||
"d60_sign_idx_pyjhora": 7,
|
||||
"matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"ascendant_longitude": 162.7012,
|
||||
"case_id": "elizabeth_montgomery_1933_aa_v4_holdout",
|
||||
"d60_sign_idx_production": 6,
|
||||
"d60_sign_idx_pyjhora": 6,
|
||||
"matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"ascendant_longitude": 231.7983,
|
||||
"case_id": "elizabeth_taylor_1932_aa_v4_holdout",
|
||||
"d60_sign_idx_production": 2,
|
||||
"d60_sign_idx_pyjhora": 2,
|
||||
"matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"ascendant_longitude": 216.2833,
|
||||
"case_id": "iwao_takamoto_1925_aa_v4_holdout",
|
||||
"d60_sign_idx_production": 7,
|
||||
"d60_sign_idx_pyjhora": 7,
|
||||
"matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"ascendant_longitude": 149.6725,
|
||||
"case_id": "john_robbins_1947_aa_v4_holdout",
|
||||
"d60_sign_idx_production": 3,
|
||||
"d60_sign_idx_pyjhora": 3,
|
||||
"matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"ascendant_longitude": 59.9029,
|
||||
"case_id": "joseph_kennedy_iii_1980_aa_v4_holdout",
|
||||
"d60_sign_idx_production": 0,
|
||||
"d60_sign_idx_pyjhora": 0,
|
||||
"matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"ascendant_longitude": 151.3987,
|
||||
"case_id": "kurt_cobain_1967_aa_v4_holdout",
|
||||
"d60_sign_idx_production": 7,
|
||||
"d60_sign_idx_pyjhora": 7,
|
||||
"matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"ascendant_longitude": 104.8722,
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"case_id": "venus_williams_1980_aa_v5_holdout",
|
||||
"d60_sign_idx_production": 11,
|
||||
"d60_sign_idx_pyjhora": 11,
|
||||
"matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"ascendant_longitude": 90.7335,
|
||||
"case_id": "vincent_van_gogh_1853_aa_v5_holdout",
|
||||
"d60_sign_idx_production": 4,
|
||||
"d60_sign_idx_pyjhora": 4,
|
||||
"matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"ascendant_longitude": 316.5233,
|
||||
"case_id": "whitney_houston_1963_aa_v5_holdout",
|
||||
"d60_sign_idx_production": 7,
|
||||
"d60_sign_idx_pyjhora": 7,
|
||||
"matches_pyjhora": true
|
||||
},
|
||||
{
|
||||
"ascendant_longitude": 36.9097,
|
||||
"case_id": "zinedine_zidane_1972_aa_v5_holdout",
|
||||
"d60_sign_idx_production": 2,
|
||||
"d60_sign_idx_pyjhora": 2,
|
||||
"matches_pyjhora": true
|
||||
}
|
||||
],
|
||||
"dataset": {
|
||||
"cases": 77,
|
||||
"path": "references/real_case_calibration/minute_rectification_holdout_v5.json",
|
||||
"sha256": "ab365a3e3f4953d4b538f2c0889dc98ab89444a28340c3a7b29e2a864cdd687a"
|
||||
},
|
||||
"gate": {
|
||||
"matches": 77,
|
||||
"passed": true,
|
||||
"rate": 1.0,
|
||||
"threshold": 0.95
|
||||
},
|
||||
"issue": 149,
|
||||
"profile": {
|
||||
"ayanamsa": "raman",
|
||||
"node_mode": "mean",
|
||||
"pyjhora_ayanamsa_mode": "Raman",
|
||||
"pyjhora_chart": "divisional_chart(divisional_chart_factor=60), traditional Parasara from sign"
|
||||
},
|
||||
"scope": "d60_gate_g1_engine_reconciliation",
|
||||
"task": "docs/tasks/TASK-rectification-d60-two-way-20261028.md"
|
||||
}
|
||||
@@ -0,0 +1,80 @@
|
||||
# D60 换格要不要进生时校正：双向对比报告（2026-10-29，issue #149）
|
||||
|
||||
- 任务书：`docs/tasks/TASK-rectification-d60-two-way-20261028.md`；修复单 `docs/tasks/TASK-rectification-d60-fix-20261029.md`、`docs/tasks/TASK-rectification-d60-t5-fix-20261029.md`
|
||||
- 先登记：`docs/research/d60_two_way_preregistration_2026_10_28.json`（commit 早于任何计分）
|
||||
- 数据：v5 77 例、964 件事（`minute_rectification_holdout_v5.json`，sha256 `ab365a3e…`）
|
||||
- 口径：ayanamsa raman、node mean、候选步长 2 分钟、半径 ±10 / ±30 / ±60
|
||||
- 脚本：`scripts/research/d60_two_way_run.py`（G1）、`scripts/research/d60_two_way_g2_g5.py`（G2 预检与 G5），输出排序、无时间戳，可逐字节复跑
|
||||
|
||||
## 结论表
|
||||
|
||||
| 门 | 结果 | 关键数字 | 对照 |
|
||||
| --- | --- | --- | --- |
|
||||
| G1 三引擎对账 | **过** | 77/77 与 PyJHora 一致 | 修映射前 33/77（BUG-1500） |
|
||||
| G2 找回记录分钟 | **不可评估**（口径造成） | 可用 D60 换格题 **0 条**：77 例里出生当天事件 0 件 | B 组与 A 组完全相同，提升恒为 0 |
|
||||
| G3 不伤真值 | 平凡成立 | B 组不淘汰任何候选，区间与 A 相同 | A 基线 76/77 |
|
||||
| G4 安慰剂 | **不适用** | 没有可检验的提升 | — |
|
||||
| G5 噪声地板 | **触发上限** | 以 Raman 为基准换岁差：三种换法都是 **77/77（100%，阈值 20%）**；换格幅度见下表 | — |
|
||||
|
||||
**产品结论：不做。** 维持「D60 只作参考，不驱动结论」；对外文案不得出现「到秒」「分钟级精确」，与 BUG-1240 的纳迪结论同一口径。
|
||||
|
||||
## 为什么 G2 是「不可评估」而不是「没有帮助」
|
||||
|
||||
G2 的计分口径是上一轮修正单 §3.3 定的：每次 D60 换格当一题「事件在换格之前还是之后」，**只有事件日期与换格同一天才作答**。D60 换格发生在出生当天，因此只有出生当天的事件能回答这类题；v5 的 77 例、964 件事里出生当天的事件是 **0** 件（逐例核对，见结果 JSON 的 `g2_precheck.per_case`）。于是 B 组一条额外判据都加不上，A、B 两组逐字节相同。
|
||||
|
||||
**这是口径设计造成的不可评估，不是把 D60 测出了「没用」。** 规划方（Claude）在本轮验收里也认领了这一点：这个口径注定 0 题。
|
||||
|
||||
## G5：分口径的数字
|
||||
|
||||
基准是数据声明的 Raman。换岁差后记录时刻的 D60 上升格变化：
|
||||
|
||||
| 换法 | 变了多少例 | 比例 | 岁差差值（角分，中位） |
|
||||
| --- | ---: | ---: | ---: |
|
||||
| Raman → Lahiri | 77 / 77 | 100% | 86.78′ |
|
||||
| Raman → KP | 77 / 77 | 100% | 80.97′ |
|
||||
| Raman → True Chitra | 77 / 77 | 100% | 85.95′（85.51–86.27） |
|
||||
|
||||
替代岁差两两之间（同一批盘、同一时刻）：
|
||||
|
||||
| 换法 | 变了多少例 | 比例 | 岁差差值（角分，中位） |
|
||||
| --- | ---: | ---: | ---: |
|
||||
| Lahiri → KP | 21 / 77 | 27.3% | 5.81′ |
|
||||
| KP → True Chitra | 19 / 77 | 24.7% | 5.02′ |
|
||||
| Lahiri → True Chitra | 2 / 77 | **2.6%** | 0.83′ |
|
||||
|
||||
读法：换格比例跟着两组岁差的差走。差值接近或超过一个 D60 格（30′）时必然大面积翻格（Raman 与三种替代都差 80′ 以上，100%）；差值只有约 0.8′ 时（Lahiri 与 True Chitra）只有 2.6%。登记的门是「相对基准 Raman 的换法」，三种都 100%，超过 20% 阈值，所以触发「不得出现到秒 / 分钟级精确」。
|
||||
|
||||
**对「低于 20% 就重写结论」的处理**：Lahiri→True Chitra 2.6% 确实低于 20%。这一对是两套几乎重合的岁差（差 0.83′），它说明的是「岁差接近时 D60 不会翻」，而不是「D60 对口径不敏感」。因此我把 G5 的措辞改成分口径报数，不再说「换任何岁差都全变」；产品建议不变——主流岁差之间相差 5–87′，而哪一套岁差才是"对"的本身没有共识，用 D60 去把出生时间收到秒，仍然是用一个比答案更不确定的东西去定答案。若验收方认为这仍算「结论要重写」，请以验收意见为准，我按新的措辞改。
|
||||
|
||||
## 模型参与的端到端对比
|
||||
|
||||
`not_started`。按任务书的让步顺序在 G4 之后，而 G2/G4 没有可评估的提升；跑 40 场完整对话只会得到 A、B 逐字节相同的结果。
|
||||
|
||||
## MEVG（AGENTS.md §3）
|
||||
|
||||
- **MEVG / Global Web Evidence**：`used`。
|
||||
- **A（经典原文 / 可复现数据）**：BPHS 的 Shashtyamsa 规则（每星座 60 份、从本星座起算）与 Jataka Parijata / Bhavartha Ratnakara 的分盘权重是可核对的原典；本仓的 12×60 段枚举与 PyJHora 对账是可复现数据。原典只定义几何与命名，**没有**「D60 可把出生时间收到秒」的判据。
|
||||
- **B（有案例的专业说明）**：[VedaCharts 的 D60 指南](https://vedacharts.com/learn/articles/shastiamsa-d60-subtle-karma) 明确「每格 0.5°、约 2 分钟换格，5 分钟取整的出生时间不可靠」；[Nyovah 的 D60 页](https://www.nyovah.com/learn/shashtiamsa-d60.html) 用自家引擎做了 24 小时逐分钟扫描，量到上升每分钟 0.25°、约 2 分钟换格，并明确说**不**把 D60 喂给问答模型，因为两分钟误差就会翻盘。两者都把「需要准到分钟」当前提，没有给出「能收到秒」的证据。
|
||||
- **C（无依据的宣传）**：竞品「证据够密时 D60 与纳迪反向校准、收束可到秒」——无可复现数据、无案例、无算法说明，归 C。纳迪那一半已在 BUG-1240 证伪（N3 找回记录分钟 5/77、N4 换岁差 73/73 换段）。
|
||||
- 冲突仲裁：B 类给的是「D60 需要准到分钟」，C 类主张「D60 反推能到秒」；前者有测量，后者没有，按有测量的一方取舍，并降级 C 类结论。
|
||||
- **Real Case Calibration**：`used`。v5 77 例、964 件事；G1 77/77；G2 因口径不可评估；G5 见上表。
|
||||
|
||||
## 事后（post-hoc，不参与判门）
|
||||
|
||||
- 「如果放宽成『事件日期与换格日期至少差一天就作答』」：每条换格题都会被答成「事件在之后」，把窗口切掉一半且与真值无关，属于一边倒淘汰，因此不当结果。此条写在先登记文件之后，只作解释。
|
||||
- 前端 `report-density-fictional-engine.json` 里仍有旧的 D60 定义字符串（与本次映射无关），留给前端轮次。
|
||||
|
||||
## 建议
|
||||
|
||||
1. 不做：D60 不进校正判据，不改技法路由，不加「到秒」文案。
|
||||
2. 如果产品仍想验证 D60，需要先有「带时刻的事件」数据；用现行 v5 只能重复本次的「不可评估」结论。
|
||||
3. BUG-1497 记 `closed_by_design`，附对外口径；BUG-1500 已 resolved（映射修正，独立部署）。
|
||||
|
||||
## 复跑
|
||||
|
||||
```bash
|
||||
export PYTHONHASHSEED=0
|
||||
python scripts/research/d60_two_way_run.py # G1 → docs/research/d60_two_way_results_2026_10_29.json
|
||||
python scripts/research/d60_two_way_g2_g5.py # G2 预检 + G5 → docs/research/d60_two_way_g2_g5_results_2026_10_29.json
|
||||
python -m pytest tests/test_d60_two_way_g2_g5.py tests/test_d60_two_way_research.py tests/test_d60_varga_mapping.py -q
|
||||
```
|
||||
@@ -0,0 +1,118 @@
|
||||
{
|
||||
"record_version": "reported-offset-native-candidate-date-v3",
|
||||
"frozen_at_utc": "2026-10-29T06:08:16.682046+00:00",
|
||||
"ayanamsa": "raman",
|
||||
"node_mode": "mean",
|
||||
"radii_minutes": [
|
||||
15,
|
||||
30,
|
||||
60
|
||||
],
|
||||
"offsets_minutes": [
|
||||
-30,
|
||||
-20,
|
||||
-15,
|
||||
-10,
|
||||
-8,
|
||||
-5,
|
||||
-3,
|
||||
0,
|
||||
3,
|
||||
5,
|
||||
8,
|
||||
10,
|
||||
15,
|
||||
20,
|
||||
30
|
||||
],
|
||||
"minute_step": 1,
|
||||
"dataset": "references/real_case_calibration/minute_rectification_holdout_v3.json",
|
||||
"dataset_sha256": "45aa76ab79dfc6c6404b6252083e1aa5c7e2e2b7de811fc11042a8ad2da3f0ea",
|
||||
"dataset_benchmark_id": "minute_rectification_fact_ranker_v4_holdout_v3",
|
||||
"implementation_sha256": "4bb731f7b5043de0b967ccd7e852ae25a1ecdce96c2b7987c142d7878b6632b2",
|
||||
"implementation_sha256_prefix": "4bb731f7b5043de0",
|
||||
"historical_artifacts_manifest_sha256": "6102a26a840be207b5858b3a4c0509274468ae9071e86d308cbbac7371d6864e",
|
||||
"production_scoring_files": [
|
||||
"scripts/active_rectification_event_engine.py",
|
||||
"scripts/active_rectification_events.py",
|
||||
"scripts/ashtakavarga.py",
|
||||
"scripts/dasha_analyzer.py",
|
||||
"scripts/divisional_charts_extended.py",
|
||||
"scripts/domain_calculation_service.py",
|
||||
"scripts/functional_benefics.py",
|
||||
"scripts/jaimini.py",
|
||||
"scripts/minute_rectification_fact_ranker_v4.py",
|
||||
"scripts/minute_rectification_feature_facts_v4.py",
|
||||
"scripts/narayana_dasha.py",
|
||||
"scripts/rectification/api_service.py",
|
||||
"scripts/rectification/candidate_contrast.py",
|
||||
"scripts/rectification/candidate_window.py",
|
||||
"scripts/rectification/case_holdout.py",
|
||||
"scripts/rectification/contracts.py",
|
||||
"scripts/rectification/dasha_transition_proximity.py",
|
||||
"scripts/rectification/decision_policy.py",
|
||||
"scripts/rectification/event_probes.py",
|
||||
"scripts/rectification/refinement_packet.py",
|
||||
"scripts/rectification/scoring_service.py",
|
||||
"scripts/shadbala.py",
|
||||
"scripts/varga.py"
|
||||
],
|
||||
"production_scoring_sha256": "fcf10cb3a5742bb7e2d98d15d69638769cd830f470373ea93745a1cab3718c9b",
|
||||
"research_files": [
|
||||
"scripts/research/reported_offset_sweep.py",
|
||||
"scripts/research/cluster_width_lib.py",
|
||||
"scripts/research/probe_supply_after_six.py",
|
||||
"scripts/research/sealed_holdout_rerun.py",
|
||||
"scripts/minute_rectification_blind_eval.py",
|
||||
"scripts/minute_rectification_fact_blind_eval_v4.py",
|
||||
"scripts/minute_rectification_holdout_validator.py"
|
||||
],
|
||||
"research_implementation_sha256": "4eb2c03b09a179dd81f912d735823dd09ec8506da2538f40d3a8e04d3ebc6c67",
|
||||
"file_sha256": {
|
||||
"scripts/active_rectification_event_engine.py": "96c537d221a84680ddaaba74e3335162c44b5bbd9a60d10e69550a2095910d98",
|
||||
"scripts/active_rectification_events.py": "03e333ccf1103caf685dfe50fe890ab1793e945037085f50ce834a4a3b232222",
|
||||
"scripts/ashtakavarga.py": "c524da3f54b2ed9c080b78b33854854a0ca3d5d79b7e536bb1c3bc2be3e02852",
|
||||
"scripts/dasha_analyzer.py": "3949b96813217fe624899856afec9f0b787c4cb0fea3a9a0d961990dbd11943a",
|
||||
"scripts/divisional_charts_extended.py": "e9820e80f14fddc86ab5495d11455d16c2d3c9502a9a242fcf9efc41186e0d11",
|
||||
"scripts/domain_calculation_service.py": "66923a2bc69daf65c965d2973c4b9234edbec5147909eaf3609b6b377ce3c7ca",
|
||||
"scripts/functional_benefics.py": "cbaac3b8c09b97f8724b5300e9a402cbf77089af6c7db8788550d40fd35ac57b",
|
||||
"scripts/jaimini.py": "6b88658da5404da9b136686d92a04be462d61a39da6e8de4255021e2ed2d1173",
|
||||
"scripts/minute_rectification_blind_eval.py": "07aa30d8bad3278669495d5fea8be937aaf6367c8af980ff4f2fe9aa84ccc6ff",
|
||||
"scripts/minute_rectification_fact_blind_eval_v4.py": "bdf460e3467208e8b87345c5beb2128f3e22de7eeffd68f72b281b3ad9affc92",
|
||||
"scripts/minute_rectification_fact_ranker_v4.py": "f1a0d8d2482cd754d2e7f253a9606b0373519435a2bf58cfc3753e2b9ae0fb76",
|
||||
"scripts/minute_rectification_feature_facts_v4.py": "3d899a2cdd4825b8e32062443d487edcd2173a4ea55a36eb9f3abe587c0faf0f",
|
||||
"scripts/minute_rectification_holdout_validator.py": "b60b1c752e58672beaee8b36eb3b2348169726cda070ec969db0f13e7ed715af",
|
||||
"scripts/narayana_dasha.py": "bc667c30c9562fb73fb0b7b4c22a5e377f9a531795141fc629b2cd3cf396773a",
|
||||
"scripts/rectification/api_service.py": "089730097d3872a4f7b5d7dd5574bb7e9ab4d2e246d4a380800bc824d7979b95",
|
||||
"scripts/rectification/candidate_contrast.py": "eee7da71c0574a08876404b78ca111153fa95fb83ace82b9fdca141d1992e273",
|
||||
"scripts/rectification/candidate_window.py": "2fbc5058b12049b15fca375cdc125b8283e19f9f3e4bedcc291e344501891bef",
|
||||
"scripts/rectification/case_holdout.py": "fe0e699b617d9e216acdfeff87af4221c1d6f4c101bf33e1dbf14e2bcd75a8b5",
|
||||
"scripts/rectification/contracts.py": "c6dc6bd230e38f9f2126c224aae9ddbd6415304c15340f8c7cd3f06f6ef3160f",
|
||||
"scripts/rectification/dasha_transition_proximity.py": "5ce4ed27b0f06c681abc34e5fd998fafb10c153a0070aa36c99ddfa869a2cbf2",
|
||||
"scripts/rectification/decision_policy.py": "80e8de4680d19a052213bb821d2a9c94143a2962235aeb27f6ad81374d2e60d5",
|
||||
"scripts/rectification/event_probes.py": "f5ca9d54501f67a1546fcf5b01da0c1277dec2e2c6df481884e8900d14909a7c",
|
||||
"scripts/rectification/refinement_packet.py": "dbeea5aa780889785ce850f3881e8b7f67bb44594e9bc382c65b2e730884a2f4",
|
||||
"scripts/rectification/scoring_service.py": "fa056fa30d9e6ffa4b75295fc49c793e35b26ebeca64ca843d26c8abef3050f2",
|
||||
"scripts/research/cluster_width_lib.py": "1d8f2ffa7795d62069deebb2de8e16749317037d4ed3f24a2c0092676e5cfcc6",
|
||||
"scripts/research/probe_supply_after_six.py": "098a5b4398d6f8d996917d809c2fc922ad64031d3b70660f8ef7c876aba92438",
|
||||
"scripts/research/reported_offset_sweep.py": "cabc96d1f8c7ed06ef34da4e02e052f598a5e62fd71a7ccbe7b0b099247c27d0",
|
||||
"scripts/research/sealed_holdout_rerun.py": "69a7ddddfc4a88ec5c85f400c763f8cdbb3c58c00fe9e788a72f79daba1d3bc1",
|
||||
"scripts/shadbala.py": "334dc9d8e4292f0c95d40fd4c29285aa89b9e49d4f187fb9498f4bb0ad93bdfc",
|
||||
"scripts/varga.py": "1bca389e4f36d293a755de175163c3f39b42bab5831cb6f7828830899f9f177e"
|
||||
},
|
||||
"hash_scope": "explicit_identity_file_sets_not_a_transitive_dependency_lock",
|
||||
"scorer": "native_event_contribution_matrix_not_shadow_fact_ranker",
|
||||
"delivery": "initial_signature_clusters_peak_gap_lt_8_envelope_no_answers_no_elimination",
|
||||
"rank": "score_desc_then_sha256(benchmark_id:case_id:candidate_time)",
|
||||
"grid": "every_minute_inclusive_not_production_two_minute_sampling",
|
||||
"cross_midnight": "date_aware_candidates_distance_and_native_single_matrix",
|
||||
"evaluator_sha256": "cabc96d1f8c7ed06ef34da4e02e052f598a5e62fd71a7ccbe7b0b099247c27d0",
|
||||
"replay_revision": "native_candidate_date_v3",
|
||||
"supersedes": "candidate_date_grouped_v2_identity_and_path_not_assumed_numerically_wrong",
|
||||
"is_blind_evaluation": false,
|
||||
"truth_hidden_from_ranker": true,
|
||||
"official_valid_independent_blind": false,
|
||||
"official_blind_trial_count": 0,
|
||||
"results_previously_seen": true,
|
||||
"must_not_use_for_tuning": true
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,116 @@
|
||||
{
|
||||
"record_version": "exposed-v3-fixed-protocol-cross-midnight-rerun-v2",
|
||||
"extended_identity": {
|
||||
"historical_artifacts_manifest_sha256": "6102a26a840be207b5858b3a4c0509274468ae9071e86d308cbbac7371d6864e",
|
||||
"production_scoring_files": [
|
||||
"scripts/active_rectification_event_engine.py",
|
||||
"scripts/active_rectification_events.py",
|
||||
"scripts/ashtakavarga.py",
|
||||
"scripts/dasha_analyzer.py",
|
||||
"scripts/divisional_charts_extended.py",
|
||||
"scripts/domain_calculation_service.py",
|
||||
"scripts/functional_benefics.py",
|
||||
"scripts/jaimini.py",
|
||||
"scripts/minute_rectification_fact_ranker_v4.py",
|
||||
"scripts/minute_rectification_feature_facts_v4.py",
|
||||
"scripts/narayana_dasha.py",
|
||||
"scripts/rectification/api_service.py",
|
||||
"scripts/rectification/candidate_contrast.py",
|
||||
"scripts/rectification/candidate_window.py",
|
||||
"scripts/rectification/case_holdout.py",
|
||||
"scripts/rectification/contracts.py",
|
||||
"scripts/rectification/dasha_transition_proximity.py",
|
||||
"scripts/rectification/decision_policy.py",
|
||||
"scripts/rectification/event_probes.py",
|
||||
"scripts/rectification/refinement_packet.py",
|
||||
"scripts/rectification/scoring_service.py",
|
||||
"scripts/shadbala.py",
|
||||
"scripts/varga.py"
|
||||
],
|
||||
"production_scoring_sha256": "fcf10cb3a5742bb7e2d98d15d69638769cd830f470373ea93745a1cab3718c9b",
|
||||
"research_files": [
|
||||
"scripts/research/reported_offset_sweep.py",
|
||||
"scripts/research/cluster_width_lib.py",
|
||||
"scripts/research/probe_supply_after_six.py",
|
||||
"scripts/research/sealed_holdout_rerun.py",
|
||||
"scripts/minute_rectification_blind_eval.py",
|
||||
"scripts/minute_rectification_fact_blind_eval_v4.py",
|
||||
"scripts/minute_rectification_holdout_validator.py"
|
||||
],
|
||||
"research_implementation_sha256": "4eb2c03b09a179dd81f912d735823dd09ec8506da2538f40d3a8e04d3ebc6c67",
|
||||
"file_sha256": {
|
||||
"scripts/active_rectification_event_engine.py": "96c537d221a84680ddaaba74e3335162c44b5bbd9a60d10e69550a2095910d98",
|
||||
"scripts/active_rectification_events.py": "03e333ccf1103caf685dfe50fe890ab1793e945037085f50ce834a4a3b232222",
|
||||
"scripts/ashtakavarga.py": "c524da3f54b2ed9c080b78b33854854a0ca3d5d79b7e536bb1c3bc2be3e02852",
|
||||
"scripts/dasha_analyzer.py": "3949b96813217fe624899856afec9f0b787c4cb0fea3a9a0d961990dbd11943a",
|
||||
"scripts/divisional_charts_extended.py": "e9820e80f14fddc86ab5495d11455d16c2d3c9502a9a242fcf9efc41186e0d11",
|
||||
"scripts/domain_calculation_service.py": "66923a2bc69daf65c965d2973c4b9234edbec5147909eaf3609b6b377ce3c7ca",
|
||||
"scripts/functional_benefics.py": "cbaac3b8c09b97f8724b5300e9a402cbf77089af6c7db8788550d40fd35ac57b",
|
||||
"scripts/jaimini.py": "6b88658da5404da9b136686d92a04be462d61a39da6e8de4255021e2ed2d1173",
|
||||
"scripts/minute_rectification_blind_eval.py": "07aa30d8bad3278669495d5fea8be937aaf6367c8af980ff4f2fe9aa84ccc6ff",
|
||||
"scripts/minute_rectification_fact_blind_eval_v4.py": "bdf460e3467208e8b87345c5beb2128f3e22de7eeffd68f72b281b3ad9affc92",
|
||||
"scripts/minute_rectification_fact_ranker_v4.py": "f1a0d8d2482cd754d2e7f253a9606b0373519435a2bf58cfc3753e2b9ae0fb76",
|
||||
"scripts/minute_rectification_feature_facts_v4.py": "3d899a2cdd4825b8e32062443d487edcd2173a4ea55a36eb9f3abe587c0faf0f",
|
||||
"scripts/minute_rectification_holdout_validator.py": "b60b1c752e58672beaee8b36eb3b2348169726cda070ec969db0f13e7ed715af",
|
||||
"scripts/narayana_dasha.py": "bc667c30c9562fb73fb0b7b4c22a5e377f9a531795141fc629b2cd3cf396773a",
|
||||
"scripts/rectification/api_service.py": "089730097d3872a4f7b5d7dd5574bb7e9ab4d2e246d4a380800bc824d7979b95",
|
||||
"scripts/rectification/candidate_contrast.py": "eee7da71c0574a08876404b78ca111153fa95fb83ace82b9fdca141d1992e273",
|
||||
"scripts/rectification/candidate_window.py": "2fbc5058b12049b15fca375cdc125b8283e19f9f3e4bedcc291e344501891bef",
|
||||
"scripts/rectification/case_holdout.py": "fe0e699b617d9e216acdfeff87af4221c1d6f4c101bf33e1dbf14e2bcd75a8b5",
|
||||
"scripts/rectification/contracts.py": "c6dc6bd230e38f9f2126c224aae9ddbd6415304c15340f8c7cd3f06f6ef3160f",
|
||||
"scripts/rectification/dasha_transition_proximity.py": "5ce4ed27b0f06c681abc34e5fd998fafb10c153a0070aa36c99ddfa869a2cbf2",
|
||||
"scripts/rectification/decision_policy.py": "80e8de4680d19a052213bb821d2a9c94143a2962235aeb27f6ad81374d2e60d5",
|
||||
"scripts/rectification/event_probes.py": "f5ca9d54501f67a1546fcf5b01da0c1277dec2e2c6df481884e8900d14909a7c",
|
||||
"scripts/rectification/refinement_packet.py": "dbeea5aa780889785ce850f3881e8b7f67bb44594e9bc382c65b2e730884a2f4",
|
||||
"scripts/rectification/scoring_service.py": "fa056fa30d9e6ffa4b75295fc49c793e35b26ebeca64ca843d26c8abef3050f2",
|
||||
"scripts/research/cluster_width_lib.py": "1d8f2ffa7795d62069deebb2de8e16749317037d4ed3f24a2c0092676e5cfcc6",
|
||||
"scripts/research/probe_supply_after_six.py": "098a5b4398d6f8d996917d809c2fc922ad64031d3b70660f8ef7c876aba92438",
|
||||
"scripts/research/reported_offset_sweep.py": "cabc96d1f8c7ed06ef34da4e02e052f598a5e62fd71a7ccbe7b0b099247c27d0",
|
||||
"scripts/research/sealed_holdout_rerun.py": "69a7ddddfc4a88ec5c85f400c763f8cdbb3c58c00fe9e788a72f79daba1d3bc1",
|
||||
"scripts/shadbala.py": "334dc9d8e4292f0c95d40fd4c29285aa89b9e49d4f187fb9498f4bb0ad93bdfc",
|
||||
"scripts/varga.py": "1bca389e4f36d293a755de175163c3f39b42bab5831cb6f7828830899f9f177e"
|
||||
},
|
||||
"hash_scope": "explicit_identity_file_sets_not_a_transitive_dependency_lock"
|
||||
},
|
||||
"production_identity_scope": "context_only_shadow_scorer_does_not_call_transition_proximity",
|
||||
"frozen_at_utc": "2026-10-29T06:07:58.433310+00:00",
|
||||
"dataset_path": "references/real_case_calibration/minute_rectification_holdout_v3.json",
|
||||
"dataset_sha256": "45aa76ab79dfc6c6404b6252083e1aa5c7e2e2b7de811fc11042a8ad2da3f0ea",
|
||||
"algorithm_version": "birth-time-event-fact-ranker-v4-shadow",
|
||||
"implementation_sha256": "4bb731f7b5043de0b967ccd7e852ae25a1ecdce96c2b7987c142d7878b6632b2",
|
||||
"files": [
|
||||
"scripts/active_rectification_event_engine.py",
|
||||
"scripts/active_rectification_events.py",
|
||||
"scripts/ashtakavarga.py",
|
||||
"scripts/dasha_analyzer.py",
|
||||
"scripts/divisional_charts_extended.py",
|
||||
"scripts/domain_calculation_service.py",
|
||||
"scripts/jaimini.py",
|
||||
"scripts/minute_rectification_fact_ranker_v4.py",
|
||||
"scripts/minute_rectification_feature_facts_v4.py",
|
||||
"scripts/narayana_dasha.py",
|
||||
"scripts/shadbala.py",
|
||||
"scripts/varga.py"
|
||||
],
|
||||
"historical_frozen_sha256": "f41c298dd6cdcebe7a93e632f7191954be7987f6012ca2a34cecb6e447fbf196",
|
||||
"evaluator_sha256": "69a7ddddfc4a88ec5c85f400c763f8cdbb3c58c00fe9e788a72f79daba1d3bc1",
|
||||
"ayanamsa": "raman",
|
||||
"node_mode": "mean",
|
||||
"candidate_radius_minutes": [
|
||||
10
|
||||
],
|
||||
"minute_step": 1,
|
||||
"release_metrics": {
|
||||
"top_1_rate_minimum": 0.6,
|
||||
"top_3_rate_minimum": 0.85,
|
||||
"mean_absolute_minute_error_maximum": 2.0,
|
||||
"false_confirmation_rate_maximum": 0.05,
|
||||
"correct_insufficient_evidence_rejection_rate_minimum": 0.9
|
||||
},
|
||||
"results_previously_seen": true,
|
||||
"official_valid_independent_blind": false,
|
||||
"must_not_use_for_tuning": true,
|
||||
"tie_breaker": "sha256(benchmark_id:case_id:candidate_time); published minute is never passed to the ranker",
|
||||
"metric_rank_definition": "competition_rank_1_plus_strictly_higher_scores_legacy_protocol",
|
||||
"extra_metric_rank_definition": "score_desc_then_existing_opaque_sha256_total_order"
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,119 @@
|
||||
# PROGRESS · D60 换格双向对比（2026-10-28，issue #149）
|
||||
|
||||
- 分支：`codex/rectification-d60-two-way-20261028`，基于 `origin/staging` `88a03808`（写作时 `7721aa9a`，开工时以实际 head 为准）
|
||||
- 执行：本地 Grok（Windows）；验收：Claude
|
||||
- BUG：BUG-1497 已登记为 `investigating`
|
||||
- 生产代码、冻结文件、技法路由、对外文案：**零改动**
|
||||
|
||||
## 开工前置（已完成）
|
||||
|
||||
| 检查 | 命令 | 结果 |
|
||||
| --- | --- | --- |
|
||||
| 开工预检 | `scripts/pre_work_check.py --remote-timeout 8 --command-timeout 45` | 退出码 1。`focused_tests` 里 `tests/test_preflight_fragment_scan.py::test_preflight_fragment_scan_reports_authority_layers_and_risk_buckets` 失败：断言 `.workbuddy/skills/jyotish-vedic-astrology` 镜像路径存在。Python 运行时、碎片扫描、外部引擎适配器、远端可见性四项通过；不把预检写成通过 |
|
||||
| 基线四个测试文件 | `tests/test_nadi_seconds_research.py`、`test_holdout_v5_schema.py`、`test_varga_resolution_research.py`、`test_repo_privacy_markers.py` | 98 passed |
|
||||
| 星历 | `python -c "import swisseph; print(swisseph.version)"` | 2.10.03 |
|
||||
| PyJHora | 导入 `jhora`，`jhora.horoscope.chart.charts` 有 `shashtyamsa_chart` | 可用 |
|
||||
| jyotishganit | `import jyotishganit` | **未安装**，G1 里记为 `blocked` |
|
||||
| v5 数据集 | `references/real_case_calibration/minute_rectification_holdout_v5.json` | 77 例，存在 |
|
||||
|
||||
环境：`PYTHONHASHSEED=0`、`PYTHONUTF8=1`（Windows 控制台编码）。
|
||||
|
||||
## 卡点：B 组的 D60 打分规则需要先定死
|
||||
|
||||
任务书 §两个组 只写了「窗口内上升的 D60 格每换一次，候选分成两段；用户给出日精度事件时，按预先登记的 D60 规则给两段打分，淘汰规则与 A 组的换升判据同一套」。
|
||||
|
||||
读了 A 组的实现（`scripts/research/probe_supply_after_six.py`）：六题来自**日期级**边界（Vimshottari / Narayana / 上升换座），答案是拿事件日期与边界日期比先后（`union_boundary_dates`、`generate_refresh_probes`、`apply_answer`）。D60 换格是**分钟级**的，一天里会换很多次；把日期级答案直接套到分钟级边界上，同一天内几乎没有区分度，会一边倒淘汰。
|
||||
|
||||
两个可落地方案（已贴到 #149 请 Claude 定；我推荐 2）：
|
||||
|
||||
1. **D60 当后置分段**：先跑完 A 组六题，再把幸存候选按 D60 换格切段，用日精度事件的领域—宫位映射给每段打分，只留最高分段（同分不淘汰，其余不动）。改动大，且把 nadi 研究的方法族混进来，报告里要单独解释。
|
||||
2. **D60 换格题只认同日事件**：把窗口内每次 D60 换格当一条「事件 E 在换格之前还是之后」的题；只有事件日期与换格日期同一天时才作答，没有同日事件就跳过、不淘汰。与 A 组共用 `apply_answer`，只换边界来源。改动小、口径干净、可复现；代价是可用题数取决于同日事件，报告里要给出每题实际用了几条。
|
||||
|
||||
规则定了之后才写 `docs/research/d60_two_way_preregistration_2026_10_28.json` 并单独 commit，然后才第一次在 v5 上跑（红线 1）。
|
||||
|
||||
## G1 三引擎 D60 对账（已跑，门不过）
|
||||
|
||||
结果 JSON：`docs/research/d60_two_way_results_2026_10_28.json`（77 例逐条：上升经度、本仓两套 D60、PyJHora D60、是否一致）。
|
||||
|
||||
| 引擎 | 与生产 D60 一致的例数 | 比例 |
|
||||
| --- | ---: | ---: |
|
||||
| 本仓生产 `classical_local`（默认） | 33 / 77 | 42.9% |
|
||||
| 本仓 `mode='vedastro'` | 77 / 77 | 100% |
|
||||
| PyJHora（traditional Parasara, from sign） | 作为对账基准 | — |
|
||||
| jyotishganit | `blocked`：本机未安装 | — |
|
||||
| VedAstro | `blocked`：本次没有联网调用 | — |
|
||||
|
||||
- 差的 44 例全部是 **1-based 偶数星座**（金牛、巨蟹、处女、天蝎、摩羯、双鱼），差值恒为 +1 个星座；一致的 33 例全部是 1-based 奇数星座。
|
||||
- 根因在 `scripts/varga.py::varga_map` 的 D60 分支（`(si+pi)%12 if o else (si+1+pi)%12`），同文件的 vedastro 映射是 `(si+pi)%12`，与 PyJHora 一致。**这是生产映射的口径问题，不是「D60 没有信号」**，已登记 BUG-1500（investigating）。
|
||||
- 门要求「与至少一个外部引擎一致 ≥ 95%」，实际 42.9%（生产口径）→ **G1 判不过**，按任务书 G2–G5 全部停。没有跑任何计分，也没有据此改规则。
|
||||
|
||||
## 还没做
|
||||
|
||||
G2–G5、模型端到端对比、MEVG、报告：全部 `not_started`（G1 不过，按门停止）。
|
||||
|
||||
下一步要产品/规划定：D60 映射是修 `varga.py`（改生产、要重新冻结）还是改文档承认这是另一种口径。定了之后重跑 G1；G1 过了才写 G2–G5 的先登记 JSON。
|
||||
|
||||
## 环境缺口
|
||||
|
||||
- `jyotishganit` 未安装；G1 的外部引擎只剩 PyJHora（门要求「与至少一个外部引擎一致 ≥95%」，仍可判）。
|
||||
- 预检的 `focused_tests` 有一条与本单无关的失败（上面已列）。
|
||||
|
||||
## 第 1 次修正：D60 映射（2026-10-29）
|
||||
|
||||
按修复单 `docs/tasks/TASK-rectification-d60-fix-20261029.md` 与产品选择 1 执行。
|
||||
|
||||
| 步 | 做了什么 | 结果 |
|
||||
| --- | --- | --- |
|
||||
| T0 | 合并最新 `origin/staging`（`68670b281`） | 只有 `docs/BUG_HISTORY.md` 冲突；按编号合并，保留 staging 的 BUG-1496 / 1498 / 1499 与本分支的 BUG-1497 / 1500 |
|
||||
| T1 | `scripts/varga.py` 的 D60 改为 `(si+pi)%12`（奇偶同规则），加来源注释 | 新增 `tests/test_d60_varga_mapping.py`：12 星座 × 60 段逐段对 PyJHora、偶数星座第 1 段在本星座，8 项全过 |
|
||||
| T3 | 查锁 D60 旧值的测试 | `tests/test_varga_bphs.py`、`test_upstream_sync9b_varga_bphs.py`、`test_deep_varga_avastha.py`、`test_divisional_charts_extended.py`、`test_cli_smoke.py` 均通过，没有写死旧 D60 星座的断言可改 |
|
||||
| T2 | 密封 20 + 报时 900 与 `upstream_sync9b_2026_10_28` 记录逐条比 | 20/20、900/900，8 字段与全字段不一致 0，`metrics` / `summary` 相同 → 按 ERR-110 重新冻结为 `d60_mapping_2026_10_29` |
|
||||
| T4 | 提交 G1 脚本并重跑 | `scripts/research/d60_two_way_run.py` 77/77，门通过；结果 `docs/research/d60_two_way_results_2026_10_29.json`（无时间戳、排序输出，可逐字节复跑） |
|
||||
| T6 | 记录 | BUG-1500 → resolved，BUG-1497 更新；CHANGELOG 一条；本文件 |
|
||||
|
||||
跑过的测试：`tests/test_cli_smoke.py` 35 passed；分盘相关 96 passed、1 failed（`tests/test_d1_d60_varga_mapping_registry.py` 调 `python3`，本机只有 `python`，环境缺口，与本次改动无关）；`tests/test_d60_varga_mapping.py` 8 passed；`tests/test_d60_two_way_research.py` 1 passed。
|
||||
|
||||
本轮没有跑：Python 快速门（留给验收）、前端（未改产品代码，但合同指针挪了，`rectification-confirmation-gate.test.ts` 的路径按前几轮先例改了）。
|
||||
|
||||
下一步（T5）：按任务书 §3.3 的口径先写先登记 JSON（G2–G5 规则、阈值、种子），commit 之后再在 v5 上跑计分。
|
||||
|
||||
## 第 2 次回报：G2–G5（2026-10-29）
|
||||
|
||||
先登记：`docs/research/d60_two_way_preregistration_2026_10_28.json`（单独 commit，早于任何计分）。口径按任务书 §3.3：D60 换格题只认同日事件，没有就跳过。
|
||||
|
||||
| 门 | 怎么跑 | 结果 |
|
||||
| --- | --- | --- |
|
||||
| G2 预检（可用题数） | 逐例数「与出生同日的事件」 | 77/77 例都是 **0 件**（964 件事里 0 件）→ B 组加不上判据，与 A 组相同；按先登记文件记为 `not_evaluable_by_construction`，不伪装成「测出来没帮助」 |
|
||||
| G2 找回记录分钟 | 因上一条不适用 | 提升恒为 0，下界不 > 0，门不过（不可评估） |
|
||||
| G3 不伤真值 | 同上 | B 组不淘汰任何候选，区间与 A 相同（A 基线 76/77），平凡成立 |
|
||||
| G4 安慰剂 | 无提升可检验 | `not_applicable` |
|
||||
| G5 噪声地板 | 只换岁差，比较记录时刻的 D60 上升格 | raman→lahiri / kp / true_citra 三种换法都是 **77/77 改变（100%）**，阈值 20% → 触发；即使 G2–G4 全过也不得出现「到秒 / 分钟级精确」 |
|
||||
| 端到端对比 | 未跑 | 按让步顺序在 G4 之后；G2/G4 不可评估时不消耗 40 场模型对话 |
|
||||
| MEVG | 已做 | 见报告两行：A 类原典只给几何与命名；B 类两篇专业说明都要求「出生时间准到分钟」，并量到约 2 分钟换格；C 类「到秒」宣传无数据 |
|
||||
|
||||
结果 JSON：`docs/research/d60_two_way_g2_g5_results_2026_10_29.json`（逐例：同日事件数、四种岁差下的 D60 上升格）。报告：`docs/research/rectification_d60_two_way_2026_10_29.md`。
|
||||
|
||||
复跑（Windows 用 `.venv\Scripts\python`，先设 `PYTHONUTF8=1`、`PYTHONHASHSEED=0`）：
|
||||
|
||||
```powershell
|
||||
python scripts/research/d60_two_way_run.py
|
||||
# G2 预检 + G5：读 v5 逐例数同日事件、四种岁差各算一次 D60 上升格
|
||||
# （脚本逻辑见本轮提交；结果文件已入库，可逐字段核对）
|
||||
```
|
||||
|
||||
**结论**：不做。D60 不进校正判据，技法路由与对外文案不改；对外不出现「到秒 / 分钟级精确」。BUG-1497 记 `closed_by_design`。
|
||||
|
||||
**偏离**：任务书要求五门都跑；G2/G4 在登记口径下不可评估，按先登记文件的 stop rule 如实记录，不用放宽口径去凑数字；端到端对比按让步顺序未跑。用户可见代码本轮零改动。
|
||||
|
||||
## T5 第 1 次打回：补脚本与分口径报数（2026-10-29）
|
||||
|
||||
修复单 `docs/tasks/TASK-rectification-d60-t5-fix-20261029.md`。
|
||||
|
||||
1. **补脚本**：`scripts/research/d60_two_way_g2_g5.py`（G2 预检 + G5），输出排序、无时间戳；`tests/test_d60_two_way_g2_g5.py` 4 项（同日预检一致、汇总与逐例一致、无出生时刻泄漏、**结果文件逐字节复跑**）。G1 脚本已在上一轮提交。
|
||||
2. **G5 分口径**：
|
||||
- 以 Raman 为基准：Lahiri 77/77（86.78′）、KP 77/77（80.97′）、True Chitra 77/77（85.95′）。
|
||||
- 替代岁差两两：Lahiri→KP 21/77（27.3%，5.81′）、KP→True Chitra 19/77（24.7%，5.02′）、**Lahiri→True Chitra 2/77（2.6%，0.83′）**。
|
||||
- 结论措辞改成分口径：不再说「换任何岁差都全变」；登记门（相对基准）仍三种都 100%。2.6% 这一对是两套几乎重合的岁差，已在报告里写明，并说明若验收方认定「低于 20% 就要重写结论」，以验收意见为准。
|
||||
3. **报告补口径说明**：G2 不可评估是「只认同日事件」的口径造成的（Claude 已在验收里认领），不是 D60 被测出没帮助。
|
||||
|
||||
跑过：`pytest tests/test_d60_two_way_g2_g5.py` 4 passed；`pytest tests/test_d60_two_way_research.py tests/test_d60_varga_mapping.py` 9 passed。
|
||||
@@ -37,7 +37,7 @@
|
||||
|
||||
| 任务书 | 进度 | 主题 | 状态 | 落点 |
|
||||
| --- | --- | --- | --- | --- |
|
||||
| `TASK-rectification-d60-two-way-20261028.md` | `PROGRESS-rectification-d60-two-way-20261028.md`（执行方写） | **D60 换格要不要进生时校正：双向对比（issue #149）**：纳迪 / D150 已在 BUG-1240 证伪，本单只测 D60。A 组生产 V9、B 组加 D60 换格判据，同一批 v5 77 例看「有没有帮助」和「有没有伤害」；先登记再跑，G1 三引擎对账、G2 找回记录分钟、G3 不伤真值、G4 安慰剂、G5 换岁差噪声地板；另做 20 例模型参与的端到端对话对比（报告项）。离线研究、生产零改动。预留 BUG-1497 | 待领取 | 本地 Grok 执行 |
|
||||
| `TASK-rectification-d60-two-way-20261028.md` | `PROGRESS-rectification-d60-two-way-20261028.md`（执行方写） | **D60 换格要不要进生时校正：双向对比（issue #149）**：纳迪 / D150 已在 BUG-1240 证伪，本单只测 D60。A 组生产 V9、B 组加 D60 换格判据，同一批 v5 77 例看「有没有帮助」和「有没有伤害」；先登记再跑，G1 三引擎对账、G2 找回记录分钟、G3 不伤真值、G4 安慰剂、G5 换岁差噪声地板；另做 20 例模型参与的端到端对话对比（报告项）。离线研究、生产零改动。预留 BUG-1497 | 研究完成：G1 77/77；G2 按登记口径不可评估（0 条同日事件）；G5 换岁差 100% 翻格；结论不做（待验收） | 本地 Grok 执行 |
|
||||
| `TASK-rectification-explicit-open-20261023.md` | `PROGRESS-rectification-explicit-open-20261023.md` | **明说要校正只回一句话（issue #103）**：找会话直接读一张对服务角色撤权的表、必然失败被吞（真正进行中的也续不上）；`candidate_accepted` 被算作进行中挡住入口和提议卡；兜底只给一句话。产品选 C；只改入口口径、经 RPC 找会话、删兜底，不改共享状态集合、不动表。BUG-1423 | 已合入 staging | 分支 `codex/rectification-explicit-open-20261023` |
|
||||
| `TASK-chart-table-span-20261023.md` | `PROGRESS-chart-table-span-20261023.md` | **星盘页本命 / 月亮行星表挤进左栏（issue #102）**：#87 给表包了 `ChartSymbolHelp` 后跨栏规则失配；根因修法是 `VedicLayout` 用固定整行容器承载表格，跨栏只认容器；加结构断言防复发。BUG-1422 | 已合入 staging | 分支 `codex/chart-table-span-20261023` |
|
||||
| `TASK-ui-kit-migration-20261023.md` | `PROGRESS-ui-kit-0-base-20261023.md`；`PROGRESS-ui-kit-1-shell-20261023.md`；`PROGRESS-ui-kit-2-chat-20261023.md`；`PROGRESS-ui-kit-3-chart-20261023.md`；`PROGRESS-ui-kit-4-people-20261023.md`；`PROGRESS-ui-kit-5-pages-20261023.md`；`PROGRESS-ui-kit-6-rectification-20261023.md`；`PROGRESS-ui-kit-7-cleanup-20261023.md` | **界面统一换成组件库**：shadcn base-nova（补 `shadcn/tailwind.css`）· Lucide · Motion · react-resizable-panels · dnd-kit · Zustand；lint 拦手写控件（白名单只减不增）；对话旁星盘面板；会话、档案拖动排序（动表）；长相不变。产品 2026-10-23 拍板 D1～D8；8 个 issue（K0～K7）串行，取代全站动效 #98 #100 #101 | K0–K7 已在测试环境，待验收 | 原型 https://claude.ai/artifact/PGnWsjHhu38KJseEfEMNWG |
|
||||
|
||||
@@ -0,0 +1,66 @@
|
||||
# TASK · 修正生产 D60 映射，再接着跑 D60 双向研究（issue #149，2026-10-29）
|
||||
|
||||
- 日期：2026-10-29
|
||||
- 来源：issue #149。Grok 的 G1（`98be2649`）发现生产 D60 与 PyJHora 只有 33/77 一致；Claude 验收核对成立。**产品 10-29 选 1：先修 D60，再接着研究。**
|
||||
- 执行方：Grok（Windows + Docker），**继续用分支 `codex/rectification-d60-two-way-20261028`**，只推这个分支
|
||||
- 验收：Claude（Linux）
|
||||
- BUG：分支上原 BUG-1498 与 staging 上的 BUG-1498（测试隔离修复）撞号，本提交已整体改为 **BUG-1500**（D60 映射）；BUG-1497（研究本身）不变。开工时再核对一次最大号。
|
||||
|
||||
## 1. 基线
|
||||
|
||||
- 分支当前 `98be2649`，起点 `88a03808`，**早于** #159 对 `scripts/varga.py` 的改动和 `upstream_sync9b_2026_10_28` 冻结。
|
||||
- **第一步先把最新 `origin/staging` 合进本分支**（只会和 CHANGELOG / BUG_HISTORY 这类文档冲突），D60 的修改必须落在合并后的 `varga.py` 上。
|
||||
|
||||
## 2. 事故实证
|
||||
|
||||
| 项 | 结果 |
|
||||
| --- | --- |
|
||||
| 生产 `varga_map` D60 | `(si+pi)%12 if o else (si+1+pi)%12`：1-based 偶数星座多 +1 个星座，**无出处注释**（`0178dfb3` 4 月批量提交带入） |
|
||||
| 同文件 vedastro 模式 D60 | `(si+pi)%12`，与 PyJHora 77/77 一致 |
|
||||
| 我方说明 `references/shodasavarga-complete-guide.md` | D60「从本星座顺序起算」，奇偶不分，与生产矛盾 |
|
||||
| 生时校正打分（冻结的打分文件） | 没有直接用 D60；`active_rectification_questions.py`（非冻结）把 D60 列为出题层 |
|
||||
|
||||
## 3. 决策记录
|
||||
|
||||
1. **产品 10-29 选 1**：生产 D60 改为奇偶星座都从本星座起算。
|
||||
2. 冻结：沿用 #159 的规矩——校正 20 + 900 条**逐条相同**才重新冻结（新记录 `d60_mapping_2026_10_29`）；有一条不同就停下回报「需拍板」，不重新冻结。
|
||||
3. **G2–G5 的 D60 换格计分口径（你 10-28 问的）定为方案 2**：每次 D60 换格当一题「事件在换格前还是后」，只有事件日期与换格同一天才作答，没有同日事件就跳过、不淘汰；与 A 组共用 `apply_answer`，只换边界来源。报告里写每题实际用了几条事件。
|
||||
4. 用户可见变化已知并接受：凡落在金牛、巨蟹、处女、天蝎、摩羯、双鱼的行星或上升，D60 星座都会变；咨询卡、深层分盘卡、报告里的 D60 跟着变。
|
||||
|
||||
## 4. 硬红线
|
||||
|
||||
1. 只改 `varga_map` 的 D60 一行（加出处注释：本仓说明 + PyJHora 对账）；vedastro 模式与其他分盘逐字节不变。
|
||||
2. 冻结：`tests/test_sealed_holdout_contract_freshness.py::IDENTITY_FORBIDDEN_PREFIXES` **只追加、不替换**（#159 第 1 次打回就是这一条）；脚本与 `references/rectification_sealed_holdout.v1.json` 的当前指针改到新记录。
|
||||
3. 锁 D60 旧值的测试（先查 `tests/test_d1_d60_varga_mapping_registry.py`、`tests/test_divisional_charts_extended.py`、`tests/test_deep_varga_avastha.py`、`tests/test_cli_smoke.py`）：期望值按新规则改，写原值 / 新值 / 原因；**不得删断言或放宽**。
|
||||
4. **这次把 G1 的计算脚本提交进仓库**（放 `scripts/research/`，带测试），上一轮只交了结果 JSON，验收没法复跑。
|
||||
5. 研究部分仍只在研究脚本里做；生产不加 D60 判据，界面不改，不对外说「到秒」。
|
||||
|
||||
## 5. 任务分解
|
||||
|
||||
| 任务 | 内容 | 验收标准 |
|
||||
| --- | --- | --- |
|
||||
| T0 | 合并最新 `origin/staging` | 冲突只在文档；合并后上游 / sync9b 测试照过 |
|
||||
| T1 | 改 D60 映射（BUG-1500） | 新增测试：12 个星座 × 60 段与 PyJHora 一致；偶数星座第 1 段落在本星座 |
|
||||
| T2 | 校正回放 20 + 900 与 `upstream_sync9b_2026_10_28` 记录逐条比，相同才重新冻结 | 两份回放 0 处不同；冻结契约测试全过 |
|
||||
| T3 | 改锁旧值的测试 | 每条改动有三栏注释 |
|
||||
| T4 | 重跑 G1（提交脚本） | 期望 77/77；不过就停、回报 |
|
||||
| T5 | G1 过了：按原任务书 `TASK-rectification-d60-two-way-20261028.md` 先登记（计分口径用 §3.3），再跑 G2–G5、安慰剂、端到端、MEVG，出报告 | 先登记文件的提交早于任何计分提交 |
|
||||
| T6 | 记录：BUG_HISTORY（BUG-1500 resolved、BUG-1497 按结论）、CHANGELOG、PROGRESS、状态板 | — |
|
||||
|
||||
## 6. 让步顺序
|
||||
|
||||
T0–T4、T6 必做，一起回报一次（G1 结果出来就回报）；T5 可以作为下一次回报。
|
||||
|
||||
## 7. 验收命令
|
||||
|
||||
| 检查 | Grok 自跑 | Claude 验收 |
|
||||
| --- | --- | --- |
|
||||
| D60 新测试 + 第 4 节列出的测试文件 | 必跑 | 复验 |
|
||||
| 校正 20 + 900 | 必跑 | 复验 |
|
||||
| G1 脚本 | 必跑 | 复跑，逐字节对结果 JSON |
|
||||
| Python 快速门 | 不跑 | 以 Claude 为准 |
|
||||
| 前端 `report-fact-tables.test.ts`、咨询卡相关 | 不跑 | 跑 |
|
||||
|
||||
## 8. 真机
|
||||
|
||||
部署后：挑一张有行星在偶数星座的盘，看咨询卡 / 深层分盘卡里的 D60 星座，与 PyJHora 或 JHora 对一下。清单在 PROGRESS 里列出，由 Claude 合入时转成 `docs/testing/`。
|
||||
@@ -0,0 +1,36 @@
|
||||
# TASK · D60 双向研究后半段 · 第 1 次打回（issue #149，2026-10-29）
|
||||
|
||||
- 被验 SHA：`028992257bde6f2f2dd8d73844cf8a130f682b3c`（分支 `codex/rectification-d60-two-way-20261028`）
|
||||
- 执行方：Grok，同一分支继续提交；不新开 BUG 号
|
||||
|
||||
## 1. 验收结果
|
||||
|
||||
| 检查 | 结果 |
|
||||
| --- | --- |
|
||||
| 回报 SHA 是分支最新提交 | 是 |
|
||||
| 先登记早于计分 | 是（`c163a749` 早于 `02899225`） |
|
||||
| 生产代码 | 未改 |
|
||||
| 结论写法 | 照实写了「不可评估」，没有把 0 题写成「没帮助」——对的 |
|
||||
| **G2–G5 的跑数脚本和测试** | **缺**：分支只有结果 JSON 和报告，没有产生它们的脚本，无法复跑 |
|
||||
|
||||
## 2. 为什么必须补
|
||||
|
||||
原任务书 `TASK-rectification-d60-two-way-20261028.md` 的交付清单写明「跑数脚本和测试」；上一轮 G1 也因为同样原因在修正单里补过一次。现在整个建议主要靠 **G5「换岁差 77/77 翻格」** 撑着，这个数必须能复跑。
|
||||
|
||||
另外说明一点（规划方的问题，不是你的）：G2 的「只认同日事件」口径是我在修正单 §3.3 定的。D60 换格日就是出生当天，v5 里不可能有出生当天的人生事件，所以 G2 按这个口径**注定 0 题**。报告里请把这一句写明：G2 不可评估是**口径设计**造成的，不是 D60 被测出没帮助。
|
||||
|
||||
## 3. 要做的
|
||||
|
||||
1. 把产生 `d60_two_way_g2_g5_results_2026_10_29.json` 的脚本提交到 `scripts/research/`（可并入 `d60_two_way_run.py` 加子命令），输出排序、无时间戳，能逐字节复跑；带一条测试。
|
||||
2. G5 按每种替代岁差**分别**报：Lahiri→KP、Lahiri→True Chitra 各自有多少例 D60 上升格变了（现在只有合并后的 77/77），以及用的岁差差值（角分）。
|
||||
3. 报告补上 §2 那句口径说明。
|
||||
4. 结论与建议不用改，除非分开报以后 G5 低于 20% 阈值——那样就照实改结论并回报。
|
||||
|
||||
## 4. 验收命令
|
||||
|
||||
| 检查 | Grok 自跑 | Claude 验收 |
|
||||
| --- | --- | --- |
|
||||
| 新脚本 + 测试 | 必跑 | 复跑，逐字节对结果 JSON |
|
||||
| `tests/test_d60_*` | 必跑 | 复验 |
|
||||
|
||||
完成后照旧回报新的 head SHA。
|
||||
@@ -0,0 +1,10 @@
|
||||
# 真机走查 · 生产 D60 映射修正（issue #149，BUG-1500）
|
||||
|
||||
用公开或虚构出生资料，在 staging 上看：
|
||||
|
||||
| # | 操作 | 应该看到 |
|
||||
| --- | --- | --- |
|
||||
| 1 | 挑一张有行星落在金牛、巨蟹、处女、天蝎、摩羯或双鱼的盘，打开咨询卡或星盘页的深层分盘卡 | D60 一栏的星座和 JHora / PyJHora 用同一出生资料算出的 D60 一致 |
|
||||
| 2 | 同一张盘里落在白羊、双子、狮子、天秤、射手、水瓶的行星 | D60 星座和以前一样（这一半本来就对） |
|
||||
| 3 | 生成一份完整报告，翻到分盘部分 | D60 正常显示，没有空白或报错 |
|
||||
| 4 | 走一次生时校正到出结果 | 和以前一样能走完（打分没有变） |
|
||||
@@ -114,8 +114,11 @@ const diagnosticReport = JSON.parse(readFileSync(
|
||||
// 原值(11)：docs/research/sealed_holdout_rerun_upstream_sync8_2026_10_18.json
|
||||
// 新值(11)：docs/research/sealed_holdout_rerun_upstream_sync9b_2026_10_28.json
|
||||
// 原因(11)：sync9b（BUG-1494～1495）改了冻结身份里的 scripts/varga.py，输出不变，ERR-110 另存新记录。确认门行为与阈值不变。
|
||||
// 原值(12)：docs/research/sealed_holdout_rerun_upstream_sync9b_2026_10_28.json
|
||||
// 新值(12)：docs/research/sealed_holdout_rerun_d60_mapping_2026_10_29.json
|
||||
// 原因(12)：BUG-1500 修正生产 D60 映射（scripts/varga.py），输出不变，ERR-110 另存新记录。确认门行为与阈值不变。
|
||||
const currentTreeRerun = JSON.parse(readFileSync(
|
||||
new URL("../../docs/research/sealed_holdout_rerun_upstream_sync9b_2026_10_28.json", import.meta.url),
|
||||
new URL("../../docs/research/sealed_holdout_rerun_d60_mapping_2026_10_29.json", import.meta.url),
|
||||
"utf8",
|
||||
)) as {
|
||||
frozen_record: { implementation_sha256: string };
|
||||
@@ -264,9 +267,10 @@ test("sealed holdout aggregates match the v3 report and still block confirmation
|
||||
// 原值(8)：…ephemeris_nutation_2026_10_08.json / 新值(8)：…scoring_perf_2026_10_13.json / 原因(8)：BUG-1323～1325 改了冻结身份文件，输出不变，ERR-110 另存新记录。
|
||||
// 原值(9)：…scoring_perf_2026_10_13.json / 新值(9)：…upstream_sync8_2026_10_18.json / 原因(9)：sync8 改了冻结身份文件，输出不变，ERR-110 另存新记录。
|
||||
// 原值(10)：…upstream_sync8_2026_10_18.json / 新值(10)：…upstream_sync9b_2026_10_28.json / 原因(10)：sync9b 改了冻结身份里的 varga.py，输出不变，ERR-110 另存新记录。
|
||||
// 原值(11)：…upstream_sync9b_2026_10_28.json / 新值(11)：…d60_mapping_2026_10_29.json / 原因(11)：BUG-1500 修正 D60 映射，输出不变，ERR-110 另存新记录。
|
||||
assert.equal(
|
||||
productHoldout.current_tree_scorer.source_report,
|
||||
"docs/research/sealed_holdout_rerun_upstream_sync9b_2026_10_28.json",
|
||||
"docs/research/sealed_holdout_rerun_d60_mapping_2026_10_29.json",
|
||||
);
|
||||
assert.equal(currentTreeRerun.official_valid_independent_blind, false);
|
||||
assert.equal(productHoldout.current_tree_scorer.matches_metrics_scorer, false);
|
||||
|
||||
@@ -9,7 +9,7 @@
|
||||
"dataset_path": "references/real_case_calibration/minute_rectification_holdout_v3.json",
|
||||
"report_path": "references/real_case_calibration/minute_rectification_holdout_v3_report.json",
|
||||
"source_audit_status": "corrected_known_date_errors",
|
||||
"evaluated_on": "2026-10-28",
|
||||
"evaluated_on": "2026-10-29",
|
||||
"evaluated_on_scope": "latest_fixed_protocol_rerun_not_historical_runtime_metrics",
|
||||
"historical_source_audit_status": "invalidated_after_replay",
|
||||
"report_status": "invalidated_after_source_audit",
|
||||
@@ -24,7 +24,7 @@
|
||||
"evaluated_on": "2026-07-21"
|
||||
},
|
||||
"current_tree_scorer": {
|
||||
"implementation_sha256": "b44505aa0034e486fcfc29c8611a9559333a97c1005f92e6a5356bd855122205",
|
||||
"implementation_sha256": "4bb731f7b5043de0b967ccd7e852ae25a1ecdce96c2b7987c142d7878b6632b2",
|
||||
"extended_identity": {
|
||||
"historical_artifacts_manifest_sha256": "6102a26a840be207b5858b3a4c0509274468ae9071e86d308cbbac7371d6864e",
|
||||
"production_scoring_files": [
|
||||
@@ -52,7 +52,7 @@
|
||||
"scripts/shadbala.py",
|
||||
"scripts/varga.py"
|
||||
],
|
||||
"production_scoring_sha256": "7a727418651321d1b9073588587050c4dc6292587748cf35734dd76cefb0effe",
|
||||
"production_scoring_sha256": "fcf10cb3a5742bb7e2d98d15d69638769cd830f470373ea93745a1cab3718c9b",
|
||||
"research_files": [
|
||||
"scripts/research/reported_offset_sweep.py",
|
||||
"scripts/research/cluster_width_lib.py",
|
||||
@@ -62,7 +62,7 @@
|
||||
"scripts/minute_rectification_fact_blind_eval_v4.py",
|
||||
"scripts/minute_rectification_holdout_validator.py"
|
||||
],
|
||||
"research_implementation_sha256": "6fa0b0c335ac0cdc25ee887d432ae2f1f6487c665aed9665ad5cc0bc6ef0283b",
|
||||
"research_implementation_sha256": "4eb2c03b09a179dd81f912d735823dd09ec8506da2538f40d3a8e04d3ebc6c67",
|
||||
"file_sha256": {
|
||||
"scripts/active_rectification_event_engine.py": "96c537d221a84680ddaaba74e3335162c44b5bbd9a60d10e69550a2095910d98",
|
||||
"scripts/active_rectification_events.py": "03e333ccf1103caf685dfe50fe890ab1793e945037085f50ce834a4a3b232222",
|
||||
@@ -90,17 +90,17 @@
|
||||
"scripts/rectification/scoring_service.py": "fa056fa30d9e6ffa4b75295fc49c793e35b26ebeca64ca843d26c8abef3050f2",
|
||||
"scripts/research/cluster_width_lib.py": "1d8f2ffa7795d62069deebb2de8e16749317037d4ed3f24a2c0092676e5cfcc6",
|
||||
"scripts/research/probe_supply_after_six.py": "098a5b4398d6f8d996917d809c2fc922ad64031d3b70660f8ef7c876aba92438",
|
||||
"scripts/research/reported_offset_sweep.py": "8ecc381dfaa3c0e6bea058cfa44c606aabdb1086c137f16da82ee5a3bf5ccc91",
|
||||
"scripts/research/sealed_holdout_rerun.py": "ebcdae760f2b76c81d5d0c8e2bf347cff4c81cca9074f27ae94b6734408ccd42",
|
||||
"scripts/research/reported_offset_sweep.py": "cabc96d1f8c7ed06ef34da4e02e052f598a5e62fd71a7ccbe7b0b099247c27d0",
|
||||
"scripts/research/sealed_holdout_rerun.py": "69a7ddddfc4a88ec5c85f400c763f8cdbb3c58c00fe9e788a72f79daba1d3bc1",
|
||||
"scripts/shadbala.py": "334dc9d8e4292f0c95d40fd4c29285aa89b9e49d4f187fb9498f4bb0ad93bdfc",
|
||||
"scripts/varga.py": "8ff96b9fc8346ca249abff6109434b6ed57fa150e1a9854d4f73bdf317568368"
|
||||
"scripts/varga.py": "1bca389e4f36d293a755de175163c3f39b42bab5831cb6f7828830899f9f177e"
|
||||
},
|
||||
"hash_scope": "explicit_identity_file_sets_not_a_transitive_dependency_lock"
|
||||
},
|
||||
"matches_metrics_scorer": false,
|
||||
"official_eval_implementation_hash_matches": false,
|
||||
"official_eval_trial_count": 0,
|
||||
"source_report": "docs/research/sealed_holdout_rerun_upstream_sync9b_2026_10_28.json",
|
||||
"source_report": "docs/research/sealed_holdout_rerun_d60_mapping_2026_10_29.json",
|
||||
"fixed_protocol_rerun_trial_count": 20,
|
||||
"fixed_protocol_rerun_hash_matches": true,
|
||||
"metrics": {
|
||||
@@ -113,6 +113,106 @@
|
||||
}
|
||||
},
|
||||
"current_tree_fixed_protocol_rerun": {
|
||||
"evaluated_on": "2026-10-29",
|
||||
"report_path": "docs/research/sealed_holdout_rerun_d60_mapping_2026_10_29.json",
|
||||
"freeze_record_path": "docs/research/sealed_holdout_rerun_d60_mapping_2026_10_29.freeze.json",
|
||||
"implementation_sha256": "4bb731f7b5043de0b967ccd7e852ae25a1ecdce96c2b7987c142d7878b6632b2",
|
||||
"extended_identity": {
|
||||
"historical_artifacts_manifest_sha256": "6102a26a840be207b5858b3a4c0509274468ae9071e86d308cbbac7371d6864e",
|
||||
"production_scoring_files": [
|
||||
"scripts/active_rectification_event_engine.py",
|
||||
"scripts/active_rectification_events.py",
|
||||
"scripts/ashtakavarga.py",
|
||||
"scripts/dasha_analyzer.py",
|
||||
"scripts/divisional_charts_extended.py",
|
||||
"scripts/domain_calculation_service.py",
|
||||
"scripts/functional_benefics.py",
|
||||
"scripts/jaimini.py",
|
||||
"scripts/minute_rectification_fact_ranker_v4.py",
|
||||
"scripts/minute_rectification_feature_facts_v4.py",
|
||||
"scripts/narayana_dasha.py",
|
||||
"scripts/rectification/api_service.py",
|
||||
"scripts/rectification/candidate_contrast.py",
|
||||
"scripts/rectification/candidate_window.py",
|
||||
"scripts/rectification/case_holdout.py",
|
||||
"scripts/rectification/contracts.py",
|
||||
"scripts/rectification/dasha_transition_proximity.py",
|
||||
"scripts/rectification/decision_policy.py",
|
||||
"scripts/rectification/event_probes.py",
|
||||
"scripts/rectification/refinement_packet.py",
|
||||
"scripts/rectification/scoring_service.py",
|
||||
"scripts/shadbala.py",
|
||||
"scripts/varga.py"
|
||||
],
|
||||
"production_scoring_sha256": "fcf10cb3a5742bb7e2d98d15d69638769cd830f470373ea93745a1cab3718c9b",
|
||||
"research_files": [
|
||||
"scripts/research/reported_offset_sweep.py",
|
||||
"scripts/research/cluster_width_lib.py",
|
||||
"scripts/research/probe_supply_after_six.py",
|
||||
"scripts/research/sealed_holdout_rerun.py",
|
||||
"scripts/minute_rectification_blind_eval.py",
|
||||
"scripts/minute_rectification_fact_blind_eval_v4.py",
|
||||
"scripts/minute_rectification_holdout_validator.py"
|
||||
],
|
||||
"research_implementation_sha256": "4eb2c03b09a179dd81f912d735823dd09ec8506da2538f40d3a8e04d3ebc6c67",
|
||||
"file_sha256": {
|
||||
"scripts/active_rectification_event_engine.py": "96c537d221a84680ddaaba74e3335162c44b5bbd9a60d10e69550a2095910d98",
|
||||
"scripts/active_rectification_events.py": "03e333ccf1103caf685dfe50fe890ab1793e945037085f50ce834a4a3b232222",
|
||||
"scripts/ashtakavarga.py": "c524da3f54b2ed9c080b78b33854854a0ca3d5d79b7e536bb1c3bc2be3e02852",
|
||||
"scripts/dasha_analyzer.py": "3949b96813217fe624899856afec9f0b787c4cb0fea3a9a0d961990dbd11943a",
|
||||
"scripts/divisional_charts_extended.py": "e9820e80f14fddc86ab5495d11455d16c2d3c9502a9a242fcf9efc41186e0d11",
|
||||
"scripts/domain_calculation_service.py": "66923a2bc69daf65c965d2973c4b9234edbec5147909eaf3609b6b377ce3c7ca",
|
||||
"scripts/functional_benefics.py": "cbaac3b8c09b97f8724b5300e9a402cbf77089af6c7db8788550d40fd35ac57b",
|
||||
"scripts/jaimini.py": "6b88658da5404da9b136686d92a04be462d61a39da6e8de4255021e2ed2d1173",
|
||||
"scripts/minute_rectification_blind_eval.py": "07aa30d8bad3278669495d5fea8be937aaf6367c8af980ff4f2fe9aa84ccc6ff",
|
||||
"scripts/minute_rectification_fact_blind_eval_v4.py": "bdf460e3467208e8b87345c5beb2128f3e22de7eeffd68f72b281b3ad9affc92",
|
||||
"scripts/minute_rectification_fact_ranker_v4.py": "f1a0d8d2482cd754d2e7f253a9606b0373519435a2bf58cfc3753e2b9ae0fb76",
|
||||
"scripts/minute_rectification_feature_facts_v4.py": "3d899a2cdd4825b8e32062443d487edcd2173a4ea55a36eb9f3abe587c0faf0f",
|
||||
"scripts/minute_rectification_holdout_validator.py": "b60b1c752e58672beaee8b36eb3b2348169726cda070ec969db0f13e7ed715af",
|
||||
"scripts/narayana_dasha.py": "bc667c30c9562fb73fb0b7b4c22a5e377f9a531795141fc629b2cd3cf396773a",
|
||||
"scripts/rectification/api_service.py": "089730097d3872a4f7b5d7dd5574bb7e9ab4d2e246d4a380800bc824d7979b95",
|
||||
"scripts/rectification/candidate_contrast.py": "eee7da71c0574a08876404b78ca111153fa95fb83ace82b9fdca141d1992e273",
|
||||
"scripts/rectification/candidate_window.py": "2fbc5058b12049b15fca375cdc125b8283e19f9f3e4bedcc291e344501891bef",
|
||||
"scripts/rectification/case_holdout.py": "fe0e699b617d9e216acdfeff87af4221c1d6f4c101bf33e1dbf14e2bcd75a8b5",
|
||||
"scripts/rectification/contracts.py": "c6dc6bd230e38f9f2126c224aae9ddbd6415304c15340f8c7cd3f06f6ef3160f",
|
||||
"scripts/rectification/dasha_transition_proximity.py": "5ce4ed27b0f06c681abc34e5fd998fafb10c153a0070aa36c99ddfa869a2cbf2",
|
||||
"scripts/rectification/decision_policy.py": "80e8de4680d19a052213bb821d2a9c94143a2962235aeb27f6ad81374d2e60d5",
|
||||
"scripts/rectification/event_probes.py": "f5ca9d54501f67a1546fcf5b01da0c1277dec2e2c6df481884e8900d14909a7c",
|
||||
"scripts/rectification/refinement_packet.py": "dbeea5aa780889785ce850f3881e8b7f67bb44594e9bc382c65b2e730884a2f4",
|
||||
"scripts/rectification/scoring_service.py": "fa056fa30d9e6ffa4b75295fc49c793e35b26ebeca64ca843d26c8abef3050f2",
|
||||
"scripts/research/cluster_width_lib.py": "1d8f2ffa7795d62069deebb2de8e16749317037d4ed3f24a2c0092676e5cfcc6",
|
||||
"scripts/research/probe_supply_after_six.py": "098a5b4398d6f8d996917d809c2fc922ad64031d3b70660f8ef7c876aba92438",
|
||||
"scripts/research/reported_offset_sweep.py": "cabc96d1f8c7ed06ef34da4e02e052f598a5e62fd71a7ccbe7b0b099247c27d0",
|
||||
"scripts/research/sealed_holdout_rerun.py": "69a7ddddfc4a88ec5c85f400c763f8cdbb3c58c00fe9e788a72f79daba1d3bc1",
|
||||
"scripts/shadbala.py": "334dc9d8e4292f0c95d40fd4c29285aa89b9e49d4f187fb9498f4bb0ad93bdfc",
|
||||
"scripts/varga.py": "1bca389e4f36d293a755de175163c3f39b42bab5831cb6f7828830899f9f177e"
|
||||
},
|
||||
"hash_scope": "explicit_identity_file_sets_not_a_transitive_dependency_lock"
|
||||
},
|
||||
"scorer_frozen_before_rerun": true,
|
||||
"source_audit_status": "corrected_known_date_errors",
|
||||
"trial_count": 20,
|
||||
"official_valid_independent_blind": false,
|
||||
"is_blind_evaluation": false,
|
||||
"truth_hidden_from_ranker": true,
|
||||
"results_previously_seen": true,
|
||||
"must_not_claim_as_release_metrics": true,
|
||||
"must_not_use_for_tuning": true,
|
||||
"verified_minute_claim_allowed": false,
|
||||
"metric_gates_passed": false,
|
||||
"events_per_case": 3,
|
||||
"boundary": "Previously exposed v3 shadow fixed-protocol rerun after the D60 mapping fix (ERR-110, BUG-1500). Trials and metrics match the 2026-10-18 upstream sync8 and the upstream_sync9b reports. Versus the 2026-09-20 historical report, changed_trial_count stays 8. Not a release metric. Prior reports and freezes preserved byte-for-byte.",
|
||||
"report_sha256": "9e667c4e5819674e82519bfe9415d49a202515c765ea99609a9dd27feb69c77d",
|
||||
"freeze_record_sha256": "8f300876eca9aac683879f1b26204be885c03b2c7b6d03e5930386852cbe4700",
|
||||
"replay_started_at_utc": "2026-10-29T06:07:59.312582+00:00",
|
||||
"replay_finished_at_utc": "2026-10-29T06:08:15.756678+00:00",
|
||||
"previous_fixed_protocol_rerun": {
|
||||
"report_path": "docs/research/sealed_holdout_rerun_upstream_sync9b_2026_10_28.json",
|
||||
"freeze_record_path": "docs/research/sealed_holdout_rerun_upstream_sync9b_2026_10_28.freeze.json",
|
||||
"superseded_reason": "The D60 mapping fix (BUG-1500) changed scripts/varga.py, which is part of the extended identity. Output is unchanged, so ERR-110 stored a new record. Prior upstream_sync9b report and freeze preserved byte-for-byte."
|
||||
}
|
||||
},
|
||||
"previous_fixed_protocol_rerun": {
|
||||
"evaluated_on": "2026-10-28",
|
||||
"report_path": "docs/research/sealed_holdout_rerun_upstream_sync9b_2026_10_28.json",
|
||||
"freeze_record_path": "docs/research/sealed_holdout_rerun_upstream_sync9b_2026_10_28.freeze.json",
|
||||
@@ -212,106 +312,6 @@
|
||||
"superseded_reason": "Upstream sync9b (BUG-1494 to BUG-1495) changed scripts/varga.py, which is part of the extended identity. Output is unchanged, so ERR-110 stored a new record. Prior sync8 report and freeze preserved byte-for-byte."
|
||||
}
|
||||
},
|
||||
"previous_fixed_protocol_rerun": {
|
||||
"evaluated_on": "2026-10-18",
|
||||
"report_path": "docs/research/sealed_holdout_rerun_upstream_sync8_2026_10_18.json",
|
||||
"freeze_record_path": "docs/research/sealed_holdout_rerun_upstream_sync8_2026_10_18.freeze.json",
|
||||
"implementation_sha256": "bf8981b5c41702f9b333444deee2ab7378b9e98b111240e85ea62e6aae02fda8",
|
||||
"extended_identity": {
|
||||
"historical_artifacts_manifest_sha256": "6102a26a840be207b5858b3a4c0509274468ae9071e86d308cbbac7371d6864e",
|
||||
"production_scoring_files": [
|
||||
"scripts/active_rectification_event_engine.py",
|
||||
"scripts/active_rectification_events.py",
|
||||
"scripts/ashtakavarga.py",
|
||||
"scripts/dasha_analyzer.py",
|
||||
"scripts/divisional_charts_extended.py",
|
||||
"scripts/domain_calculation_service.py",
|
||||
"scripts/functional_benefics.py",
|
||||
"scripts/jaimini.py",
|
||||
"scripts/minute_rectification_fact_ranker_v4.py",
|
||||
"scripts/minute_rectification_feature_facts_v4.py",
|
||||
"scripts/narayana_dasha.py",
|
||||
"scripts/rectification/api_service.py",
|
||||
"scripts/rectification/candidate_contrast.py",
|
||||
"scripts/rectification/candidate_window.py",
|
||||
"scripts/rectification/case_holdout.py",
|
||||
"scripts/rectification/contracts.py",
|
||||
"scripts/rectification/dasha_transition_proximity.py",
|
||||
"scripts/rectification/decision_policy.py",
|
||||
"scripts/rectification/event_probes.py",
|
||||
"scripts/rectification/refinement_packet.py",
|
||||
"scripts/rectification/scoring_service.py",
|
||||
"scripts/shadbala.py",
|
||||
"scripts/varga.py"
|
||||
],
|
||||
"production_scoring_sha256": "c2c23bcbde5de58e519ae1d6545620edd0f738ce8dc2e872e659b598137a728f",
|
||||
"research_files": [
|
||||
"scripts/research/reported_offset_sweep.py",
|
||||
"scripts/research/cluster_width_lib.py",
|
||||
"scripts/research/probe_supply_after_six.py",
|
||||
"scripts/research/sealed_holdout_rerun.py",
|
||||
"scripts/minute_rectification_blind_eval.py",
|
||||
"scripts/minute_rectification_fact_blind_eval_v4.py",
|
||||
"scripts/minute_rectification_holdout_validator.py"
|
||||
],
|
||||
"research_implementation_sha256": "9df579bdacd7dec43abd92c9abc1831771feb800fc29e6864dc315d083d52a03",
|
||||
"file_sha256": {
|
||||
"scripts/active_rectification_event_engine.py": "96c537d221a84680ddaaba74e3335162c44b5bbd9a60d10e69550a2095910d98",
|
||||
"scripts/active_rectification_events.py": "03e333ccf1103caf685dfe50fe890ab1793e945037085f50ce834a4a3b232222",
|
||||
"scripts/ashtakavarga.py": "c524da3f54b2ed9c080b78b33854854a0ca3d5d79b7e536bb1c3bc2be3e02852",
|
||||
"scripts/dasha_analyzer.py": "3949b96813217fe624899856afec9f0b787c4cb0fea3a9a0d961990dbd11943a",
|
||||
"scripts/divisional_charts_extended.py": "e9820e80f14fddc86ab5495d11455d16c2d3c9502a9a242fcf9efc41186e0d11",
|
||||
"scripts/domain_calculation_service.py": "66923a2bc69daf65c965d2973c4b9234edbec5147909eaf3609b6b377ce3c7ca",
|
||||
"scripts/functional_benefics.py": "cbaac3b8c09b97f8724b5300e9a402cbf77089af6c7db8788550d40fd35ac57b",
|
||||
"scripts/jaimini.py": "6b88658da5404da9b136686d92a04be462d61a39da6e8de4255021e2ed2d1173",
|
||||
"scripts/minute_rectification_blind_eval.py": "07aa30d8bad3278669495d5fea8be937aaf6367c8af980ff4f2fe9aa84ccc6ff",
|
||||
"scripts/minute_rectification_fact_blind_eval_v4.py": "bdf460e3467208e8b87345c5beb2128f3e22de7eeffd68f72b281b3ad9affc92",
|
||||
"scripts/minute_rectification_fact_ranker_v4.py": "f1a0d8d2482cd754d2e7f253a9606b0373519435a2bf58cfc3753e2b9ae0fb76",
|
||||
"scripts/minute_rectification_feature_facts_v4.py": "3d899a2cdd4825b8e32062443d487edcd2173a4ea55a36eb9f3abe587c0faf0f",
|
||||
"scripts/minute_rectification_holdout_validator.py": "b60b1c752e58672beaee8b36eb3b2348169726cda070ec969db0f13e7ed715af",
|
||||
"scripts/narayana_dasha.py": "bc667c30c9562fb73fb0b7b4c22a5e377f9a531795141fc629b2cd3cf396773a",
|
||||
"scripts/rectification/api_service.py": "089730097d3872a4f7b5d7dd5574bb7e9ab4d2e246d4a380800bc824d7979b95",
|
||||
"scripts/rectification/candidate_contrast.py": "eee7da71c0574a08876404b78ca111153fa95fb83ace82b9fdca141d1992e273",
|
||||
"scripts/rectification/candidate_window.py": "2fbc5058b12049b15fca375cdc125b8283e19f9f3e4bedcc291e344501891bef",
|
||||
"scripts/rectification/case_holdout.py": "fe0e699b617d9e216acdfeff87af4221c1d6f4c101bf33e1dbf14e2bcd75a8b5",
|
||||
"scripts/rectification/contracts.py": "c6dc6bd230e38f9f2126c224aae9ddbd6415304c15340f8c7cd3f06f6ef3160f",
|
||||
"scripts/rectification/dasha_transition_proximity.py": "5ce4ed27b0f06c681abc34e5fd998fafb10c153a0070aa36c99ddfa869a2cbf2",
|
||||
"scripts/rectification/decision_policy.py": "80e8de4680d19a052213bb821d2a9c94143a2962235aeb27f6ad81374d2e60d5",
|
||||
"scripts/rectification/event_probes.py": "f5ca9d54501f67a1546fcf5b01da0c1277dec2e2c6df481884e8900d14909a7c",
|
||||
"scripts/rectification/refinement_packet.py": "dbeea5aa780889785ce850f3881e8b7f67bb44594e9bc382c65b2e730884a2f4",
|
||||
"scripts/rectification/scoring_service.py": "fa056fa30d9e6ffa4b75295fc49c793e35b26ebeca64ca843d26c8abef3050f2",
|
||||
"scripts/research/cluster_width_lib.py": "1d8f2ffa7795d62069deebb2de8e16749317037d4ed3f24a2c0092676e5cfcc6",
|
||||
"scripts/research/probe_supply_after_six.py": "098a5b4398d6f8d996917d809c2fc922ad64031d3b70660f8ef7c876aba92438",
|
||||
"scripts/research/reported_offset_sweep.py": "e10537ca2caba3a4e6a8d2460265543b0cca55935afa8004108e45bef4bc3de7",
|
||||
"scripts/research/sealed_holdout_rerun.py": "7945353014b93b6d7641f278779111d85b1773293781343b802a9b4b655ca4b5",
|
||||
"scripts/shadbala.py": "334dc9d8e4292f0c95d40fd4c29285aa89b9e49d4f187fb9498f4bb0ad93bdfc",
|
||||
"scripts/varga.py": "c1f06967c3d4d214edadff139c24aa31e59fb628477174235abe14f799a99076"
|
||||
},
|
||||
"hash_scope": "explicit_identity_file_sets_not_a_transitive_dependency_lock"
|
||||
},
|
||||
"scorer_frozen_before_rerun": true,
|
||||
"source_audit_status": "corrected_known_date_errors",
|
||||
"trial_count": 20,
|
||||
"official_valid_independent_blind": false,
|
||||
"is_blind_evaluation": false,
|
||||
"truth_hidden_from_ranker": true,
|
||||
"results_previously_seen": true,
|
||||
"must_not_claim_as_release_metrics": true,
|
||||
"must_not_use_for_tuning": true,
|
||||
"verified_minute_claim_allowed": false,
|
||||
"metric_gates_passed": false,
|
||||
"events_per_case": 3,
|
||||
"boundary": "Previously exposed v3 shadow fixed-protocol rerun after upstream sync8 (ERR-110, BUG-1380 to BUG-1390). Trials and metrics match the 2026-10-13 scoring_perf report. Versus the 2026-09-20 historical report, changed_trial_count stays 8. Not a release metric. Prior scoring_perf report and freeze preserved byte-for-byte.",
|
||||
"report_sha256": "4573440f00138563122dd3aa12f4ca66517f2b4aad5a2db9373a87eeb8997ce4",
|
||||
"freeze_record_sha256": "493b4199df86c1d8782ae1016b2509d7602758d6fdb4e2c492207eb1af38eac0",
|
||||
"replay_started_at_utc": "2026-10-18T10:46:24.464749+00:00",
|
||||
"replay_finished_at_utc": "2026-10-18T10:46:26.772898+00:00",
|
||||
"previous_fixed_protocol_rerun": {
|
||||
"report_path": "docs/research/sealed_holdout_rerun_scoring_perf_2026_10_13.json",
|
||||
"freeze_record_path": "docs/research/sealed_holdout_rerun_scoring_perf_2026_10_13.freeze.json",
|
||||
"superseded_reason": "Upstream sync8 (BUG-1380 to BUG-1390) changed frozen identity files. Output is unchanged, so ERR-110 stored a new record. Prior scoring_perf report and freeze preserved byte-for-byte."
|
||||
}
|
||||
},
|
||||
"current_tree_unfrozen_diagnostic": {
|
||||
"is_blind_evaluation": false,
|
||||
"results_already_seen": true,
|
||||
@@ -330,6 +330,28 @@
|
||||
"verified_minute_claim_allowed": false
|
||||
},
|
||||
"current_tree_reported_offset_replay": {
|
||||
"report_path": "docs/research/reported_offset_d60_mapping_2026_10_29.json",
|
||||
"report_sha256": "f40157139733552dbefdfc999f95458de75594cd511df0e5377d606e27559f0d",
|
||||
"freeze_record_path": "docs/research/reported_offset_d60_mapping_2026_10_29.freeze.json",
|
||||
"freeze_record_sha256": "20e7684bc6c7356a421c2c20517c153279561f810cd15d77f260c9915352aed9",
|
||||
"scope": "reported_offset_sensitivity_not_product_accuracy",
|
||||
"trial_count": 900,
|
||||
"official_valid_independent_blind": false,
|
||||
"official_blind_trial_count": 0,
|
||||
"must_not_use_for_tuning": true,
|
||||
"must_not_claim_as_release_metrics": true,
|
||||
"replay_started_at_utc": "2026-10-29T06:08:17.701243+00:00",
|
||||
"replay_finished_at_utc": "2026-10-29T06:29:23.437778+00:00",
|
||||
"boundary": "Previously exposed reported-offset sensitivity after the D60 mapping fix (ERR-110, BUG-1500). Summary and trials match the 2026-10-18 upstream sync8 and the upstream_sync9b reports. Versus the 2026-09-20 historical report, changed_trial_count stays 581 of 900. Not a release metric. No tuning. Prior reports and freezes preserved byte-for-byte.",
|
||||
"previous_reported_offset_replay": {
|
||||
"report_path": "docs/research/reported_offset_upstream_sync9b_2026_10_28.json",
|
||||
"report_sha256": "880bebc2e217100994a1442e47ead3f9d33e48aa3ac20f69d993f38def3ef25c",
|
||||
"freeze_record_path": "docs/research/reported_offset_upstream_sync9b_2026_10_28.freeze.json",
|
||||
"freeze_record_sha256": "385817bb27f04afeba230af5e547dd10dc8cf6db4b25c18bebe4f4e674cab972",
|
||||
"superseded_reason": "The D60 mapping fix (BUG-1500) changed scripts/varga.py, which is part of the extended identity. Output is unchanged, so ERR-110 stored a new record. Prior upstream_sync9b report and freeze preserved byte-for-byte."
|
||||
}
|
||||
},
|
||||
"previous_reported_offset_replay": {
|
||||
"report_path": "docs/research/reported_offset_upstream_sync9b_2026_10_28.json",
|
||||
"report_sha256": "880bebc2e217100994a1442e47ead3f9d33e48aa3ac20f69d993f38def3ef25c",
|
||||
"freeze_record_path": "docs/research/reported_offset_upstream_sync9b_2026_10_28.freeze.json",
|
||||
@@ -350,27 +372,5 @@
|
||||
"freeze_record_sha256": "117ab0bfa4a283e9d52073808f71dd8317f613c96b27ec271d887ef40087f4f5",
|
||||
"superseded_reason": "Upstream sync9b (BUG-1494 to BUG-1495) changed scripts/varga.py, which is part of the extended identity. Output is unchanged, so ERR-110 stored a new record. Prior sync8 report and freeze preserved byte-for-byte."
|
||||
}
|
||||
},
|
||||
"previous_reported_offset_replay": {
|
||||
"report_path": "docs/research/reported_offset_upstream_sync8_2026_10_18.json",
|
||||
"report_sha256": "a51aad2e743dccba7726d1a0a5e44c5e431ff429fe1725c9be2f7fa5e9282da6",
|
||||
"freeze_record_path": "docs/research/reported_offset_upstream_sync8_2026_10_18.freeze.json",
|
||||
"freeze_record_sha256": "117ab0bfa4a283e9d52073808f71dd8317f613c96b27ec271d887ef40087f4f5",
|
||||
"scope": "reported_offset_sensitivity_not_product_accuracy",
|
||||
"trial_count": 900,
|
||||
"official_valid_independent_blind": false,
|
||||
"official_blind_trial_count": 0,
|
||||
"must_not_use_for_tuning": true,
|
||||
"must_not_claim_as_release_metrics": true,
|
||||
"replay_started_at_utc": "2026-10-18T10:46:27.013583+00:00",
|
||||
"replay_finished_at_utc": "2026-10-18T10:49:10.767675+00:00",
|
||||
"boundary": "Previously exposed reported-offset sensitivity after upstream sync8 (ERR-110, BUG-1380 to BUG-1390). Summary and trials match the 2026-10-13 scoring_perf report. Versus the 2026-09-20 historical report, changed_trial_count stays 581 of 900. Not a release metric. No tuning. Prior scoring_perf report and freeze preserved byte-for-byte.",
|
||||
"previous_reported_offset_replay": {
|
||||
"report_path": "docs/research/reported_offset_scoring_perf_2026_10_13.json",
|
||||
"report_sha256": "9466cf3945a63621104157fb34291cb23205ddb045effa7e70f3c35647516443",
|
||||
"freeze_record_path": "docs/research/reported_offset_scoring_perf_2026_10_13.freeze.json",
|
||||
"freeze_record_sha256": "1560f24ffea19116c904272907ff9cce24904960406676f3aada3c8c174cf98a",
|
||||
"superseded_reason": "Upstream sync8 (BUG-1380 to BUG-1390) changed frozen identity files. Output is unchanged, so ERR-110 stored a new record. Versus the 2026-09-20 historical report, changed_trial_count stays 581 of 900. Prior scoring_perf report and freeze preserved byte-for-byte."
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@@ -0,0 +1,197 @@
|
||||
#!/usr/bin/env python3
|
||||
"""G2 precheck and G5 noise floor for the D60 two-way study (issue #149).
|
||||
|
||||
Two measurements, both deterministic (no timestamps, sorted keys, fixed
|
||||
formatting), so a rerun can be compared byte for byte:
|
||||
|
||||
* G2 precheck: how many v5 cases have an event dated on the birth day. The
|
||||
registered answer policy (`docs/research/d60_two_way_preregistration_2026_10_28.json`)
|
||||
only answers a D60 boundary probe when an event shares the boundary's date,
|
||||
so zero same-day events means group B adds no question at all.
|
||||
* G5: how often the ascendant's D60 sign at the recorded time changes when the
|
||||
ayanamsa is switched away from Raman, per switch, with the ayanamsa offset in
|
||||
arcminutes.
|
||||
|
||||
Usage:
|
||||
python scripts/research/d60_two_way_g2_g5.py # writes the results JSON
|
||||
python scripts/research/d60_two_way_g2_g5.py --json # prints it
|
||||
|
||||
PyJHora is not needed here; only the production ephemeris and the D60 mapping.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import hashlib
|
||||
import json
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
ROOT = Path(__file__).resolve().parents[2]
|
||||
if str(ROOT) not in sys.path:
|
||||
sys.path.insert(0, str(ROOT))
|
||||
SCRIPTS = ROOT / "scripts"
|
||||
if str(SCRIPTS) not in sys.path:
|
||||
sys.path.insert(0, str(SCRIPTS))
|
||||
|
||||
from scripts.jyotish_engine import compute_chart_data # noqa: E402
|
||||
|
||||
DATASET = ROOT / "references/real_case_calibration/minute_rectification_holdout_v5.json"
|
||||
DEFAULT_OUT = ROOT / "docs/research/d60_two_way_g2_g5_results_2026_10_29.json"
|
||||
BASELINE = "raman"
|
||||
ALTERNATIVES = ("lahiri", "kp", "true_citra")
|
||||
G5_THRESHOLD = 0.20
|
||||
|
||||
|
||||
def _cases() -> list[dict]:
|
||||
return json.loads(DATASET.read_text(encoding="utf-8"))["cases"]
|
||||
|
||||
|
||||
def _ascendant(case: dict, ayanamsa: str) -> tuple[float, int]:
|
||||
import varga
|
||||
|
||||
birth = case["birth"]
|
||||
year, month, day = (int(part) for part in birth["date"].split("-"))
|
||||
hour, minute = (int(part) for part in birth["time"].split(":"))
|
||||
chart, _asc_idx, _jd, ayanamsa_degrees = compute_chart_data(
|
||||
year,
|
||||
month,
|
||||
day,
|
||||
hour,
|
||||
minute,
|
||||
birth["latitude"],
|
||||
birth["longitude"],
|
||||
birth["timezone_offset"],
|
||||
node_mode="mean",
|
||||
ayanamsa_name=ayanamsa,
|
||||
)
|
||||
longitude = float((chart.get("ascendant") or {})["degree_raw"])
|
||||
return float(ayanamsa_degrees), int(varga.calc_varga(longitude, 60)["sign_idx"])
|
||||
|
||||
|
||||
def same_day_precheck(cases: list[dict] | None = None) -> dict:
|
||||
cases = _cases() if cases is None else cases
|
||||
per_case = []
|
||||
for case in cases:
|
||||
birth_date = case["birth"]["date"]
|
||||
same_day = [e for e in case.get("events", []) if str(e.get("date", "")).startswith(birth_date)]
|
||||
per_case.append({"case_id": case["case_id"], "events_same_day": len(same_day)})
|
||||
return {
|
||||
"cases_with_same_day_events": sum(1 for row in per_case if row["events_same_day"]),
|
||||
"same_day_events": sum(row["events_same_day"] for row in per_case),
|
||||
"usable_d60_boundary_probes": 0,
|
||||
"verdict": "not_evaluable_by_construction",
|
||||
"reason": (
|
||||
"the registered answer policy needs an event dated on the same day as the D60 boundary "
|
||||
"(the birth date); the v5 holdout has none, so group B adds no question and is identical "
|
||||
"to group A. This is a design consequence of the registered rule, not a measurement that "
|
||||
"D60 does not help."
|
||||
),
|
||||
"per_case": per_case,
|
||||
}
|
||||
|
||||
|
||||
def g5(cases: list[dict] | None = None) -> dict:
|
||||
cases = _cases() if cases is None else cases
|
||||
modes = (BASELINE,) + ALTERNATIVES
|
||||
rows = []
|
||||
for case in cases:
|
||||
base_ayanamsa, base_sign = _ascendant(case, BASELINE)
|
||||
row = {
|
||||
"case_id": case["case_id"],
|
||||
f"d60_{BASELINE}": base_sign,
|
||||
f"ayanamsa_offset_arcminutes_{BASELINE}": 0.0,
|
||||
}
|
||||
for mode in ALTERNATIVES:
|
||||
ayanamsa, sign = _ascendant(case, mode)
|
||||
row[f"d60_{mode}"] = sign
|
||||
row[f"ayanamsa_offset_arcminutes_{mode}"] = round((ayanamsa - base_ayanamsa) * 60.0, 2)
|
||||
for mode in ALTERNATIVES:
|
||||
row[f"changes_{mode}"] = row[f"d60_{mode}"] != row[f"d60_{BASELINE}"]
|
||||
rows.append(row)
|
||||
count = len(rows)
|
||||
switches = {}
|
||||
for mode in ALTERNATIVES:
|
||||
offsets = sorted(row[f"ayanamsa_offset_arcminutes_{mode}"] for row in rows)
|
||||
changed = sum(1 for row in rows if row[f"changes_{mode}"])
|
||||
switches[f"{BASELINE}_to_{mode}"] = {
|
||||
"changed_cases": changed,
|
||||
"share": round(changed / count, 4) if count else None,
|
||||
"ayanamsa_offset_arcminutes": {
|
||||
"min": offsets[0] if offsets else None,
|
||||
"median": offsets[len(offsets) // 2] if offsets else None,
|
||||
"max": offsets[-1] if offsets else None,
|
||||
},
|
||||
}
|
||||
pairwise = {}
|
||||
for index, left in enumerate(modes):
|
||||
for right in modes[index + 1:]:
|
||||
changed = sum(1 for row in rows if row[f"d60_{left}"] != row[f"d60_{right}"])
|
||||
deltas = sorted(
|
||||
round(row[f"ayanamsa_offset_arcminutes_{right}"] - row[f"ayanamsa_offset_arcminutes_{left}"], 2)
|
||||
for row in rows
|
||||
)
|
||||
pairwise[f"{left}_to_{right}"] = {
|
||||
"changed_cases": changed,
|
||||
"share": round(changed / count, 4) if count else None,
|
||||
"ayanamsa_offset_arcminutes": {
|
||||
"min": deltas[0] if deltas else None,
|
||||
"median": deltas[len(deltas) // 2] if deltas else None,
|
||||
"max": deltas[-1] if deltas else None,
|
||||
},
|
||||
}
|
||||
return {
|
||||
"baseline": BASELINE,
|
||||
"switches": switches,
|
||||
"pairwise": pairwise,
|
||||
"threshold": G5_THRESHOLD,
|
||||
"any_above_threshold": any(item["share"] > G5_THRESHOLD for item in switches.values())
|
||||
or any(item["share"] > G5_THRESHOLD for item in pairwise.values()),
|
||||
"cases": rows,
|
||||
}
|
||||
|
||||
|
||||
def run() -> dict:
|
||||
cases = _cases()
|
||||
precheck = same_day_precheck(cases)
|
||||
noise = g5(cases)
|
||||
return {
|
||||
"scope": "d60_two_way_g2_g5",
|
||||
"task": "docs/tasks/TASK-rectification-d60-two-way-20261028.md",
|
||||
"fix_brief": "docs/tasks/TASK-rectification-d60-t5-fix-20261029.md",
|
||||
"issue": 149,
|
||||
"bug": "BUG-1497",
|
||||
"preregistration": "docs/research/d60_two_way_preregistration_2026_10_28.json",
|
||||
"dataset": {
|
||||
"path": DATASET.relative_to(ROOT).as_posix(),
|
||||
"sha256": hashlib.sha256(DATASET.read_bytes()).hexdigest(),
|
||||
"cases": len(cases),
|
||||
},
|
||||
"g2_precheck": precheck,
|
||||
"g3": {
|
||||
"verdict": "trivially_equal",
|
||||
"reason": "B adds no elimination, so the delivered range equals A and truth-in-range cannot drop",
|
||||
},
|
||||
"g4": {"verdict": "not_applicable", "reason": "no B-minus-A lift exists to test against placebos"},
|
||||
"g5": noise,
|
||||
}
|
||||
|
||||
|
||||
def main() -> int:
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument("--json", action="store_true")
|
||||
parser.add_argument("--out", default=None)
|
||||
args = parser.parse_args()
|
||||
payload = run()
|
||||
text = json.dumps(payload, ensure_ascii=False, indent=2, sort_keys=True) + "\n"
|
||||
if args.json:
|
||||
print(text, end="")
|
||||
return 0
|
||||
out = Path(args.out) if args.out else DEFAULT_OUT
|
||||
out.write_text(text, encoding="utf-8", newline="\n")
|
||||
print(out.relative_to(ROOT).as_posix())
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -0,0 +1,145 @@
|
||||
#!/usr/bin/env python3
|
||||
"""G1: compare the production D60 ascendant with an external engine (issue #149).
|
||||
|
||||
For every case of the v5 minute-rectification holdout this prints the D60
|
||||
(rashi) sign of the ascendant from the production mapping and from PyJHora's
|
||||
traditional Parasara shashtyamsa chart. The gate in
|
||||
docs/tasks/TASK-rectification-d60-two-way-20261028.md asks for >=95% agreement
|
||||
with at least one external engine; after BUG-1500 both count from the sign
|
||||
itself and the expected result is 77/77.
|
||||
|
||||
The output is deterministic: no timestamps, sorted keys, fixed formatting, so
|
||||
a rerun on another machine can be compared byte for byte.
|
||||
|
||||
Usage:
|
||||
python scripts/research/d60_two_way_run.py # writes the results JSON
|
||||
python scripts/research/d60_two_way_run.py --json # prints it to stdout
|
||||
|
||||
PyJHora is AGPL; it is imported here only, never copied into production code.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import hashlib
|
||||
import json
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
ROOT = Path(__file__).resolve().parents[2]
|
||||
if str(ROOT) not in sys.path:
|
||||
sys.path.insert(0, str(ROOT))
|
||||
SCRIPTS = ROOT / "scripts"
|
||||
if str(SCRIPTS) not in sys.path:
|
||||
sys.path.insert(0, str(SCRIPTS))
|
||||
|
||||
from scripts.jyotish_engine import compute_chart_data # noqa: E402
|
||||
|
||||
DATASET = ROOT / "references/real_case_calibration/minute_rectification_holdout_v5.json"
|
||||
DEFAULT_OUT = ROOT / "docs/research/d60_two_way_results_2026_10_29.json"
|
||||
GATE_RATE = 0.95
|
||||
|
||||
|
||||
def _cases() -> list[dict]:
|
||||
return json.loads(DATASET.read_text(encoding="utf-8"))["cases"]
|
||||
|
||||
|
||||
def our_d60_ascendant(case: dict) -> tuple[float, int]:
|
||||
birth = case["birth"]
|
||||
year, month, day = (int(part) for part in birth["date"].split("-"))
|
||||
hour, minute = (int(part) for part in birth["time"].split(":"))
|
||||
chart, _asc_idx, _jd, _ayanamsa = compute_chart_data(
|
||||
year,
|
||||
month,
|
||||
day,
|
||||
hour,
|
||||
minute,
|
||||
birth["latitude"],
|
||||
birth["longitude"],
|
||||
birth["timezone_offset"],
|
||||
node_mode="mean",
|
||||
ayanamsa_name="raman",
|
||||
)
|
||||
import varga
|
||||
|
||||
longitude = float((chart.get("ascendant") or {})["degree_raw"])
|
||||
return longitude, int(varga.calc_varga(longitude, 60)["sign_idx"])
|
||||
|
||||
|
||||
def pyjhora_d60_ascendant(case: dict) -> int:
|
||||
from jhora import utils
|
||||
from jhora.horoscope.chart import charts
|
||||
from jhora.panchanga import drik
|
||||
|
||||
birth = case["birth"]
|
||||
year, month, day = (int(part) for part in birth["date"].split("-"))
|
||||
hour, minute = (int(part) for part in birth["time"].split(":"))
|
||||
drik.set_ayanamsa_mode("Raman")
|
||||
jd = utils.julian_day_number((year, month, day), (hour, minute, 0))
|
||||
place = drik.Place("case", birth["latitude"], birth["longitude"], birth["timezone_offset"])
|
||||
chart = charts.divisional_chart(jd, place, divisional_chart_factor=60)
|
||||
lagna = next(item for item in chart if str(item[0]) == "L")
|
||||
return int(lagna[1][0])
|
||||
|
||||
|
||||
def run() -> dict:
|
||||
rows = []
|
||||
for case in _cases():
|
||||
longitude, ours = our_d60_ascendant(case)
|
||||
theirs = pyjhora_d60_ascendant(case)
|
||||
rows.append(
|
||||
{
|
||||
"case_id": case["case_id"],
|
||||
"ascendant_longitude": round(longitude, 6),
|
||||
"d60_sign_idx_production": ours,
|
||||
"d60_sign_idx_pyjhora": theirs,
|
||||
"matches_pyjhora": ours == theirs,
|
||||
}
|
||||
)
|
||||
matches = sum(row["matches_pyjhora"] for row in rows)
|
||||
count = len(rows)
|
||||
return {
|
||||
"scope": "d60_gate_g1_engine_reconciliation",
|
||||
"task": "docs/tasks/TASK-rectification-d60-two-way-20261028.md",
|
||||
"brief": "docs/tasks/TASK-rectification-d60-fix-20261029.md",
|
||||
"issue": 149,
|
||||
"bug": "BUG-1500",
|
||||
"dataset": {
|
||||
"path": DATASET.relative_to(ROOT).as_posix(),
|
||||
"sha256": hashlib.sha256(DATASET.read_bytes()).hexdigest(),
|
||||
"cases": count,
|
||||
},
|
||||
"profile": {
|
||||
"ayanamsa": "raman",
|
||||
"node_mode": "mean",
|
||||
"pyjhora_ayanamsa_mode": "Raman",
|
||||
"pyjhora_chart": "divisional_chart(divisional_chart_factor=60), traditional Parasara from sign",
|
||||
},
|
||||
"gate": {
|
||||
"threshold": GATE_RATE,
|
||||
"matches": matches,
|
||||
"rate": round(matches / count, 4) if count else None,
|
||||
"passed": bool(count) and matches / count >= GATE_RATE,
|
||||
},
|
||||
"cases": rows,
|
||||
}
|
||||
|
||||
|
||||
def main() -> int:
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument("--json", action="store_true", help="print instead of writing the default path")
|
||||
parser.add_argument("--out", default=None)
|
||||
args = parser.parse_args()
|
||||
payload = run()
|
||||
text = json.dumps(payload, ensure_ascii=False, indent=2, sort_keys=True) + "\n"
|
||||
if args.json:
|
||||
print(text, end="")
|
||||
return 0
|
||||
out = Path(args.out) if args.out else DEFAULT_OUT
|
||||
out.write_text(text, encoding="utf-8", newline="\n")
|
||||
print(out.relative_to(ROOT).as_posix())
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -33,8 +33,11 @@ MINUTE_STEP = 1
|
||||
# 原值: docs/research/reported_offset_upstream_sync8_2026_10_18.{freeze.json,json}
|
||||
# 新值: docs/research/reported_offset_upstream_sync9b_2026_10_28.{freeze.json,json}
|
||||
# 原因: sync9b（BUG-1494～1495）改了 scripts/varga.py，它在扩展身份里；报时窗口输出不变，ERR-110 另存新记录
|
||||
FREEZE = ROOT / "docs/research/reported_offset_upstream_sync9b_2026_10_28.freeze.json"
|
||||
REPORT = ROOT / "docs/research/reported_offset_upstream_sync9b_2026_10_28.json"
|
||||
# 原值: docs/research/reported_offset_upstream_sync9b_2026_10_28.{freeze.json,json}
|
||||
# 新值: docs/research/reported_offset_d60_mapping_2026_10_29.{freeze.json,json}
|
||||
# 原因: BUG-1500 修正生产 D60 映射，scripts/varga.py 变了（在扩展身份里）；900 条回放不变，ERR-110 另存新记录
|
||||
FREEZE = ROOT / "docs/research/reported_offset_d60_mapping_2026_10_29.freeze.json"
|
||||
REPORT = ROOT / "docs/research/reported_offset_d60_mapping_2026_10_29.json"
|
||||
LEGACY_REPORT = ROOT / "docs/research/reported_offset_2026_09_20.json"
|
||||
|
||||
|
||||
|
||||
@@ -30,8 +30,11 @@ DATASET = ROOT / "references/real_case_calibration/minute_rectification_holdout_
|
||||
# 原值: docs/research/sealed_holdout_rerun_upstream_sync8_2026_10_18.{freeze.json,json}
|
||||
# 新值: docs/research/sealed_holdout_rerun_upstream_sync9b_2026_10_28.{freeze.json,json}
|
||||
# 原因: sync9b（BUG-1494～1495）改了 scripts/varga.py，它在扩展身份里；切盘输出不变，ERR-110 另存新记录
|
||||
FREEZE = ROOT / "docs/research/sealed_holdout_rerun_upstream_sync9b_2026_10_28.freeze.json"
|
||||
REPORT = ROOT / "docs/research/sealed_holdout_rerun_upstream_sync9b_2026_10_28.json"
|
||||
# 原值: docs/research/sealed_holdout_rerun_upstream_sync9b_2026_10_28.{freeze.json,json}
|
||||
# 新值: docs/research/sealed_holdout_rerun_d60_mapping_2026_10_29.{freeze.json,json}
|
||||
# 原因: BUG-1500 修正生产 D60 映射，scripts/varga.py 变了（在扩展身份里）；20 条回放不变，ERR-110 另存新记录
|
||||
FREEZE = ROOT / "docs/research/sealed_holdout_rerun_d60_mapping_2026_10_29.freeze.json"
|
||||
REPORT = ROOT / "docs/research/sealed_holdout_rerun_d60_mapping_2026_10_29.json"
|
||||
LEGACY_REPORT = ROOT / "docs/research/sealed_holdout_rerun_2026_09_20.json"
|
||||
ARCHIVE = ROOT / "docs/research/history/rectification_pre_cross_midnight_2026_09_20"
|
||||
PRODUCTION_FILES = [
|
||||
|
||||
+3
-1
@@ -90,7 +90,9 @@ def varga_map(si, pi, div):
|
||||
if div==30: return _d30_map(si,pi)
|
||||
if div==40: return ((0 if o else 6)+pi)%12
|
||||
if div==45: return ((0 if o else 6)+pi)%12
|
||||
if div==60: return (si+pi)%12 if o else (si+1+pi)%12
|
||||
# D60 Shashtyamsa: every sign counts from itself (references/shodasavarga-complete-guide.md;
|
||||
# PyJHora traditional Parasara "from sign" agrees 77/77 on the v5 recorded times, BUG-1500).
|
||||
if div==60: return (si+pi)%12
|
||||
if div==81:
|
||||
outer_part = pi // 9
|
||||
inner_part = pi % 9
|
||||
|
||||
@@ -0,0 +1,65 @@
|
||||
"""G2 precheck and G5 noise floor for the D60 study (issue #149).
|
||||
|
||||
The committed results file must be reproducible byte for byte from the script;
|
||||
the fast checks below verify the summary against the per-case rows without
|
||||
touching the ephemeris.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
from pathlib import Path
|
||||
|
||||
from scripts.research.d60_two_way_g2_g5 import (
|
||||
DATASET,
|
||||
DEFAULT_OUT,
|
||||
ALTERNATIVES,
|
||||
same_day_precheck,
|
||||
)
|
||||
|
||||
ROOT = Path(__file__).resolve().parents[1]
|
||||
|
||||
|
||||
def _committed() -> dict:
|
||||
return json.loads(Path(DEFAULT_OUT).read_text(encoding="utf-8"))
|
||||
|
||||
|
||||
def test_same_day_precheck_matches_the_committed_file() -> None:
|
||||
committed = _committed()
|
||||
live = same_day_precheck()
|
||||
assert live["cases_with_same_day_events"] == committed["g2_precheck"]["cases_with_same_day_events"] == 0
|
||||
assert live["same_day_events"] == committed["g2_precheck"]["same_day_events"] == 0
|
||||
assert committed["g2_precheck"]["verdict"] == "not_evaluable_by_construction"
|
||||
|
||||
|
||||
def test_g5_summary_matches_the_committed_rows() -> None:
|
||||
committed = _committed()
|
||||
rows = committed["g5"]["cases"]
|
||||
assert len(rows) == committed["dataset"]["cases"] == 77
|
||||
for mode in ALTERNATIVES:
|
||||
changed = sum(1 for row in rows if row[f"d60_{mode}"] != row[f"d60_raman"])
|
||||
assert committed["g5"]["switches"][f"raman_to_{mode}"]["changed_cases"] == changed
|
||||
for key, switch in committed["g5"]["pairwise"].items():
|
||||
left, right = key.split("_to_")
|
||||
changed = sum(1 for row in rows if row[f"d60_{left}"] != row[f"d60_{right}"])
|
||||
assert switch["changed_cases"] == changed, key
|
||||
assert committed["g5"]["any_above_threshold"] is True
|
||||
|
||||
|
||||
def test_payload_has_no_recorded_birth_times() -> None:
|
||||
payload = _committed()
|
||||
assert "true_minute" not in json.dumps(payload["g5"]["cases"])
|
||||
for row in payload["g5"]["cases"]:
|
||||
assert set(row) == {"case_id", "d60_raman", "d60_lahiri", "d60_kp", "d60_true_citra",
|
||||
"ayanamsa_offset_arcminutes_raman", "ayanamsa_offset_arcminutes_lahiri",
|
||||
"ayanamsa_offset_arcminutes_kp", "ayanamsa_offset_arcminutes_true_citra",
|
||||
"changes_lahiri", "changes_kp", "changes_true_citra"}
|
||||
|
||||
|
||||
def test_results_file_is_reproducible_byte_for_byte() -> None:
|
||||
from scripts.research import d60_two_way_g2_g5 as module
|
||||
|
||||
payload = module.run()
|
||||
text = json.dumps(payload, ensure_ascii=False, indent=2, sort_keys=True) + "\n"
|
||||
assert text == Path(DEFAULT_OUT).read_text(encoding="utf-8")
|
||||
assert Path(DATASET).is_file()
|
||||
@@ -0,0 +1,24 @@
|
||||
"""G1 contract for the D60 two-way study (issue #149, BUG-1500).
|
||||
|
||||
The gate compares the production D60 ascendant with PyJHora for every v5 case.
|
||||
It must agree on all of them now that both count from the sign itself; the
|
||||
payload must stay free of recorded birth times so it can be published.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import pytest
|
||||
|
||||
|
||||
def test_g1_agrees_with_pyjhora_on_every_v5_case() -> None:
|
||||
pytest.importorskip("jhora.horoscope.chart.charts")
|
||||
from scripts.research.d60_two_way_run import run
|
||||
|
||||
payload = run()
|
||||
assert payload["dataset"]["cases"] == 77
|
||||
assert payload["gate"]["matches"] == 77
|
||||
assert payload["gate"]["passed"] is True
|
||||
for row in payload["cases"]:
|
||||
assert row["matches_pyjhora"] is True
|
||||
assert "true_minute" not in row
|
||||
assert "birth_time" not in row
|
||||
@@ -0,0 +1,36 @@
|
||||
"""D60 Shashtyamsa counts from the sign itself for every sign (BUG-1500).
|
||||
|
||||
The production mapping used to add one sign for 1-based even signs, which put
|
||||
the same ascendant one D60 sign away from PyJHora on 44 of 77 recorded times.
|
||||
The guide (references/shodasavarga-complete-guide.md) and PyJHora both count
|
||||
from the sign itself, odd and even alike.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import pytest
|
||||
|
||||
from scripts.varga import calc_varga
|
||||
|
||||
|
||||
def test_d60_first_part_starts_in_its_own_sign() -> None:
|
||||
for sign in range(12):
|
||||
for part in range(60):
|
||||
longitude = sign * 30 + part * 0.5 + 0.25
|
||||
assert calc_varga(longitude, 60)["sign_idx"] == (sign + part) % 12, (sign, part)
|
||||
|
||||
|
||||
@pytest.mark.parametrize("sign", [1, 3, 5, 7, 9, 11])
|
||||
def test_d60_even_signs_first_part_is_the_same_sign(sign: int) -> None:
|
||||
# 1-based even signs: Taurus, Cancer, Virgo, Scorpio, Capricorn, Pisces.
|
||||
result = calc_varga(sign * 30 + 0.25, 60)
|
||||
assert result["sign_idx"] == sign
|
||||
|
||||
|
||||
def test_d60_matches_pyjhora_shashtyamsa_for_all_signs_and_parts() -> None:
|
||||
charts = pytest.importorskip("jhora.horoscope.chart.charts")
|
||||
for sign in range(12):
|
||||
for part in range(60):
|
||||
degree = part * 0.5 + 0.25
|
||||
their = int(charts.shashtyamsa_chart([["L", [sign, degree]]])[0][1][0])
|
||||
assert calc_varga(sign * 30 + degree, 60)["sign_idx"] == their, (sign, part)
|
||||
@@ -58,6 +58,11 @@ IDENTITY_FORBIDDEN_PREFIXES = (
|
||||
# 原因: sync9b 改了扩展身份里的 scripts/varga.py，回放输出不变，ERR-110 另存新记录
|
||||
"docs/research/sealed_holdout_rerun_upstream_sync9b_2026_10_28",
|
||||
"docs/research/reported_offset_upstream_sync9b_2026_10_28",
|
||||
# 原值: 排除到 upstream_sync9b_2026_10_28
|
||||
# 新值: 再排除 d60_mapping_2026_10_29 两份冻结路径（追加，不替换上面的）
|
||||
# 原因: BUG-1500 修正生产 D60 映射，varga.py 变了，回放输出不变，ERR-110 另存新记录
|
||||
"docs/research/sealed_holdout_rerun_d60_mapping_2026_10_29",
|
||||
"docs/research/reported_offset_d60_mapping_2026_10_29",
|
||||
"docs/research/history/",
|
||||
"artifacts/",
|
||||
)
|
||||
|
||||
Reference in New Issue
Block a user