code: def _get_neigh_coef(shape, center, dtype=float):
      # Create biharmonic coefficients ndarray
      neigh_coef = np.zeros(shape, dtype=dtype)
      neigh_coef[center] = 1
      neigh_coef = laplace(laplace(neigh_coef))
  
      # extract non-zero locations and values
      coef_idx = np.where(neigh_coef)
      coef_vals = neigh_coef[coef_idx]
  
      coef_idx = np.stack(coef_idx, axis=0)
      return neigh_coef, coef_idx, coef_vals
  
file_path: scikit-image/skimage/restoration/inpaint.py
imports: import numpy
  from scipy import sparse
  from scipy.sparse.linalg import spsolve
  import scipy.ndimage
  from scipy.ndimage import laplace
  import skimage
  from .._shared import utils
  from ..measure import label
  from ._inpaint import _build_matrix_inner
label_desc: Use image node_id 2 for calling a global function with example usage: _get_neigh_coef(shape, center, dtype) and returns: neigh_coef,  coef_idx,  coef_vals