def METHOD_NAME(tmp_path, global_rank_spike, num_devices, spike_value, finite_only):
    fabric = Fabric(
        accelerator="cpu",
        devices=num_devices,
        callbacks=[SpikeDetection(exclude_batches_path=tmp_path, finite_only=finite_only)],
        strategy="ddp_spawn",
    )
    # spike_value == None -> typical spike detection
    # finite_only -> typical spike detection and raise with NaN +/- inf
    # if inf -> inf >> other values -> typical spike detection
    should_raise = spike_value is None or finite_only or spike_value == float("inf")
    fabric.launch(
        spike_detection_test,
        global_rank_spike=global_rank_spike,
        spike_value=spike_value,
        should_raise=should_raise,
    )