delete playground

playground.py

@@ -1,57 +0,0 @@
-"""Read a file and return unique values from a chosen column."""
-
-from pathlib import Path
-import argparse
-import sys
-
-import pandas as pd
-
-
-def read_file(path: str | Path) -> pd.DataFrame:
-    path = Path(path)
-    suffix = path.suffix.lower()
-    if suffix == ".csv":
-        return pd.read_csv(path)
-    if suffix == ".tsv":
-        return pd.read_csv(path, sep="\t")
-    if suffix in {".xlsx", ".xls"}:
-        return pd.read_excel(path)
-    if suffix == ".parquet":
-        return pd.read_parquet(path)
-    if suffix == ".json":
-        return pd.read_json(path)
-    raise ValueError(f"Unsupported file type: {suffix}")
-
-
-def get_unique(path: str | Path, column: str, dropna: bool = True) -> list:
-    df = read_file(Path(path))
-    if column not in df.columns:
-        raise KeyError(f"Column {column!r} not found. Available: {list(df.columns)}")
-    series = df[column].dropna() if dropna else df[column]
-    return series.unique().tolist()
-
-
-def main() -> int:
-    parser = argparse.ArgumentParser(description=__doc__)
-    parser.add_argument("--path", default="/workspaces/model/certificates-2026.csv")
-    parser.add_argument("--column", nargs="walls_description")
-    parser.add_argument("--keep-na", action="store_true")
-    args, _ = parser.parse_known_args()
-
-    df = read_file(args.path)
-
-    if not args.column:
-        print("Available columns:")
-        for c in df.columns:
-            print(f"  - {c}")
-        return 0
-
-    column = "wall "
-    series = df[column] if args.keep_na else df[column].dropna()
-    for value in series.unique():
-        print(value)
-    return 0
-
-
-if __name__ == "__main__":
-    sys.exit(main())