def _check_n_classes()

in causalml/inference/tree/_tree/_tree.pyx [0:0]

• 15 lines of code
• 6 McCabe index (conditional complexity)

def _check_n_classes(n_classes, expected_dtype):
    if n_classes.ndim != 1:
        raise ValueError(
            f"Wrong dimensions for n_classes from the pickle: "
            f"expected 1, got {n_classes.ndim}"
        )

    if n_classes.dtype == expected_dtype:
        return n_classes

    # Handles both different endianness and different bitness
    if n_classes.dtype.kind == "i" and n_classes.dtype.itemsize in [4, 8]:
        return n_classes.astype(expected_dtype, casting="same_kind")

    raise ValueError(
        "n_classes from the pickle has an incompatible dtype:\n"
        f"- expected: {expected_dtype}\n"
        f"- got:      {n_classes.dtype}"
    )