code: def _cuda_nanmin_n_impl(ret_pixel, other_pixel):
      """Single pixel implementation of nanmin_n_in_place.
      ret_pixel and other_pixel are both 1D arrays of the same length.
  
      Walk along other_pixel a value at a time, find insertion index in
      ret_pixel and shift values along to insert.  Next other_pixel value is
      inserted at a higher index, so this walks the two pixel arrays just once
      each.
      """
      n = len(ret_pixel)
      istart = 0
      for other_value in other_pixel:
          if isnan(other_value):
              break
          else:
              for i in range(istart, n):
                  if isnan(ret_pixel[i]) or other_value < ret_pixel[i]:
                      istart = cuda_shift_and_insert(
                          ret_pixel, other_value, i
                      )
                      break
  
imports: from __future__ import annotations
  from math import ceil, isnan
  from packaging.version import Version
  import numba
  import numpy
  from numba import cuda
label_desc: Use image node_id 10 for calling a global function with example usage: _cuda_nanmin_n_impl(ret_pixel, other_pixel) without return types