code: def cuda_shift_and_insert(target, value, index):
      """Insert a value into a 1D array at a particular index, but before doing
      that shift the previous values along one to make room. For use in
      ``FloatingNReduction`` classes such as ``max_n`` and ``first_n`` which
      store ``n`` values per pixel.
  
      Parameters
      ----------
      target : 1d numpy array
          Target pixel array.
  
      value : float
          Value to insert into target pixel array.
  
      index : int
          Index to insert at.
  
      Returns
      -------
      Index beyond insertion, i.e. where the first shifted value now sits.
      """
      n = len(target)
      for i in range(n - 1, index, -1):
          target[i] = target[i - 1]
      target[index] = value
      return index + 1
  
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 6 for calling a global function with example usage: cuda_shift_and_insert(target, value, index) and returns: unknown