from typing import Any, Dict, List, Optional import numpy as np import pandas as pd def to_dict( target_values: np.ndarray, start: pd.Timestamp, cat: Optional[List[int]] = None, item_id: Optional[Any] = None, real: Optional[np.ndarray] = None, ) -> Dict: def serialize(x): if np.isnan(x): return "NaN" else: # return x return float("{0:.6f}".format(float(x))) res = { "start": start, "target": [serialize(x) for x in target_values], } if cat is not None: res["feat_static_cat"] = cat if item_id is not None: res["item_id"] = item_id if real is not None: res["feat_dynamic_real"] = real.astype(np.float32).tolist() return res