Cleanup: remove wreck code from src/sp2xr/helpers.py

src/sp2xr/helpers.py

@@ -437,48 +437,3 @@ def partition_rowcount(ddf: dd.DataFrame) -> int:
         meta=pd.Series(dtype="int64"),
     )
     return int(row_series.sum().compute())
-
-
-'''def normalize_dtypes(
-    df: Union[pd.DataFrame, dd.DataFrame],
-) -> Union[pd.DataFrame, dd.DataFrame]:
-    """
-    Enforce consistent dtypes across all columns:
-    - Strings -> string[pyarrow]
-    - Booleans -> boolean (nullable)
-    - Integers -> Int64 (nullable)
-    - Floats -> float64
-    - Datetimes -> datetime64[ns]
-    """
-    from pandas import StringDtype, BooleanDtype, Int64Dtype
-
-    new_columns = {}
-
-    for col in df.columns:
-        dtype = df[col].dtype
-
-        try:
-            if is_string_dtype(dtype) or is_object_dtype(dtype):
-                new_columns[col] = df[col].astype(StringDtype(storage="pyarrow"))
-
-            elif is_bool_dtype(dtype):
-                new_columns[col] = df[col].astype(BooleanDtype())
-
-            elif is_integer_dtype(dtype):
-                new_columns[col] = df[col].astype(Int64Dtype())
-
-            elif is_numeric_dtype(dtype):  # includes floats
-                new_columns[col] = df[col].astype("float64")
-
-            elif is_datetime64_any_dtype(dtype):
-                new_columns[col] = df[col].map_partitions(
-                    lambda s: pd.to_datetime(s).astype("datetime64[ns]")
-                )
-
-        except Exception as e:
-            print(f"Warning: failed to normalize column '{col}' ({dtype}): {e}")
-
-    if new_columns:
-        df = df.assign(**new_columns)
-
-    return df'''