: It provides hundreds of new opcodes for scripters to interact with the game's memory and SA-MP's internal data.

# -------------------------------------------------------------- # File: sampfuncs/stratified_batch_sampler.py # -------------------------------------------------------------- from __future__ import annotations

* ``joint_codes`` is a 1‑D int64 array of length N giving a *single* integer code for the joint combination of all categorical columns. * ``inv_permutation`` is a permutation that can be used to restore the original order (useful when shuffling later). """ # Stack all columns (shape: C x N) and view as a structured dtype. # This yields a unique code for each distinct combination. stacked = np.stack(list(cat_columns.values()), axis=0) # Use a view of the rows as a single byte string; NumPy will then treat # each column vector as a “record”. The resulting dtype is guaranteed # to be hashable and comparable. dtype = np.dtype([("fi", stacked.dtype) for i in range(stacked.shape[0])]) structured = stacked.T.view(dtype).ravel()