61 lines
2.0 KiB
Python
61 lines
2.0 KiB
Python
"""Where the proposed rule still loses to Chandrupatla, per family, from results already
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on disk (no new run). Cells: the proposed rule, + sticky/exit, and the decision-place
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records, if the files hold them.
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python -u where_we_lose.py
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"""
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from __future__ import annotations
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import json
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import os
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from collections import defaultdict
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MAXFEV = 200
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def load(p):
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with open(p, encoding="utf8") as fh:
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return {r["label"]: r for r in json.load(fh)}
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def fam(pid):
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return pid.split(".")[0] if not pid.startswith("aps") else "aps"
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def per_family(r, s):
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out = defaultdict(int)
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for pid, (n, ok) in r[s]["per"].items():
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out[fam(pid)] += n if ok else MAXFEV
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return out
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def main():
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full = load("sweep_full.json")
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cells = {"chandrupatla": full["chandrupatla"],
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"proposed": full["pure.ratio.derived3.project"]}
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if os.path.exists("sweep_flatexit.json"):
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cells["+exit"] = load("sweep_flatexit.json")["flatstickexit.ratio.derived3.project"]
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for path in ("sweep_decision.json", "sweep_order.json", "sweep_points.json",
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"sweep_combo.json", "sweep_slope.json"):
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if not os.path.exists(path):
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continue
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for lab, r in load(path).items():
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if lab.endswith("ratio.derived3.project") and lab not in cells and (
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"defect" in lab or "shape" in lab or "slope" in lab):
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cells[lab] = r
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print(f"{'cell':<45} {'APS':>6} {'CHA':>6} {'both':>6}")
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for k, r in cells.items():
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print(f"{k:<45} {r['APS']['total']:6d} {r['CHA']['total']:6d} "
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f"{r['APS']['total'] + r['CHA']['total']:6d}")
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ch = per_family(cells["chandrupatla"], "CHA")
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print("\nCHA per family (Chandrupatla | proposed | +exit):")
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pr = per_family(cells["proposed"], "CHA")
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ex = per_family(cells["+exit"], "CHA") if "+exit" in cells else {}
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for f in sorted(ch):
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print(f" {f:<6} {ch[f]:5d} | {pr[f]:5d} | {ex.get(f, 0):5d} "
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f"(+exit - Chandrupatla {ex.get(f, 0) - ch[f]:+d})")
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if __name__ == "__main__":
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main()
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