kernels.minmax

kernels.minmax(arr, *, mask=None, n_min=1, n_max=1, grow=None, validate=True)

Reject the n_min smallest and n_max largest unmasked values at each pixel. Single-pass.

Parameters

arr : (ndarray, shape(N, *spatial)): Image stack. Accepted dtypes are uint8, uint16, int16, int32, float32, and float64. Integer inputs are promoted to the package’s floating workspace when validate is True. Inputs with more than 3 dimensions are flattened internally; output shapes match the trailing spatial dimensions of the input.
mask : ndarray of bool = None: Input mask; True means already masked. Must have the same shape as arr before any internal flattening.
n_min : int or float = 1: Number of minimum-side values to reject at each pixel. Values >= 1 are treated as a frame count. Values in [0, 1) are treated as a fraction of the total frame count N and converted via int(N * n_min + 0.001), matching IRAF’s internal fraction arithmetic.
n_max : int or float = 1: Same convention as n_min, applied to the maximum-side tail.
grow : float or None = None: Optional radius in pixels used to grow mask_rej spatially after rejection. Axis 0 is the stack axis and is never grown across. None disables growth and skips the extra calculation.
validate : bool = True: If True, check dimensionality and normalize dtype/contiguity before entering the Rust kernel. If False, callers must provide inputs that satisfy the compiled kernel assumptions.

mask_rej : ndarray of bool, shape (N, *spatial): True where a value was rejected by this kernel. mask_rej.sum(axis=0) is the per-output rejected count.
std : (ndarray, shape(*spatial) or None): Per-pixel spread used by sigma/CCD clipping. None for rejection algorithms without a spread diagnostic.
low : (ndarray, shape(*spatial)): Lower retained-value bound. Bounds are inclusive: values equal to low are retained.
upp : (ndarray, shape(*spatial)): Upper retained-value bound. Bounds are inclusive: values equal to upp are retained.
nit : ndarray of uint8, shape (*spatial): Iteration-count map.
output_flags : ndarray of uint8, shape (*spatial): Bit-coded status. 0 means normal completion; bit 1 means at least one pre-masked sample at this output element; bit 16 means grow added at least one rejected sample at this output element. Iterative kernels also use bit 2 for maxiters, bit 4 for nkeep, and bit 8 for maxrej. Bits are OR-ed. output_flags is a per-output diagnostic; use mask_rej.sum(axis=0) to count samples rejected by this step.