run_cadzow_checkpoint

run_cadzow_checkpoint(
    data,
    out_npy,
    h=None,
    fs=250.0,
    chunk=_CADZOW_CHUNK,
    halo=_CADZOW_HALO,
    n_jobs=4,
    **cadzow_kwargs,
)

Cadzow-denoise a decimated LFP array in overlapping chunks and save a contiguous checkpoint.

Each chunk of chunk samples is read with a halo-sample context on each side, denoised, then only the central chunk samples are written. The output .npy contains no guard bands and can be memory-mapped directly.

Parameters

Name	Type	Description	Default
data	(ndarray(ns, nc), float32)	Decimated LFP at fs Hz, time-first so time slices are contiguous on disk.	required
out_npy	path - like	Output .npy file path. Shape (ns, nc), float32, time-first.	required
h	dict or None	Probe header with keys ‘x’ and ‘y’. Defaults to NP1 geometry for nc channels.	None
fs	float	Sampling rate [Hz]. Default 250.	250.0
chunk	int	Written chunk size (samples). chunk + 2*halo must be FFT-optimal. Default 640 → processed window = 640 + 2×64 = 768 = 3 × 256.	_CADZOW_CHUNK
halo	int	Context halo each side (samples). Default 64.	_CADZOW_HALO
n_jobs	int	Number of chunks processed in parallel via ProcessPoolExecutor. Each worker subprocess calls cadzow_denoiser with n_jobs=1 and writes its result directly to the output memmap. Default 4.	4
**cadzow_kwargs		Overrides of the Cadzow defaults for the probe geometry (see cadzow_lfp_kwargs).	{}

Returns

Name	Type	Description
	ndarray (ns, nc), float32 — also written to out_npy.