code: def match(feats, ref_feats):
      min_error = np.inf
      min_i = None
      for i in range(ref_feats.shape[0]):
          error = np.sum((feats - ref_feats[i, :]) ** 2)
          if error < min_error:
              min_error = error
              min_i = i
      return min_i
  
file_path: scikit-image/doc/examples/features_detection/plot_gabor.py
imports: import matplotlib.pyplot
  import numpy
  from scipy import ndimage
  from skimage import data
  from skimage.util import img_as_float
  from skimage.filters import gabor_kernel
label_desc: Use image node_id 2 for calling a global function with example usage: match(feats, ref_feats) and returns: min_i