Delete to_parquet.py

to_parquet.py

@@ -1,50 +0,0 @@
-#!/usr/bin/env python3
-"""Convert model.json to model.parquet.
-
-Requires: pandas, pyarrow
-    pip install pandas pyarrow
-"""
-import json
-import os
-import sys
-
-MODEL_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), "model.json")
-OUT_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), "model.parquet")
-
-
-def main():
-    try:
-        import pandas as pd
-    except ImportError:
-        print("Error: pandas required. Install: pip install pandas pyarrow", file=sys.stderr)
-        sys.exit(1)
-
-    with open(MODEL_PATH, "r", encoding="utf-8") as f:
-        model = json.load(f)
-
-    rows = []
-    for state, bucket in model.get("transitions", {}).items():
-        for nxt, prob in bucket.items():
-            rows.append({
-                "state": state,
-                "next_token": nxt,
-                "probability": float(prob),
-                "harmonic_seed": int(model.get("harmonic_seed", 0)),
-                "format": model.get("format", "unknown"),
-                "version": model.get("version", "0.0"),
-            })
-
-    if not rows:
-        print("Warning: no transitions. Writing metadata-only parquet.")
-        rows = [{"state": "", "next_token": "", "probability": 0.0,
-                 "harmonic_seed": int(model.get("harmonic_seed", 0)),
-                 "format": model.get("format", "unknown"),
-                 "version": model.get("version", "0.0")}]
-
-    df = pd.DataFrame(rows)
-    df.to_parquet(OUT_PATH, index=False)
-    print("Wrote " + str(len(df)) + " rows to " + OUT_PATH)
-
-
-if __name__ == "__main__":
-    main()