code: def k_gauss(x, y, scale):
      """Gaussian kernel with scale coeff."""
      return np.exp(-(scale**2) * sqdist(x, y) / 2)
  
imports: import collections
  from functools import partial
  import numpy
  from scipy.sparse.linalg import svds
  from sklearn.base import BaseEstimator, TransformerMixin
  from sktime.dists_kernels.base import BasePairwiseTransformerPanel
label_desc: Use image node_id 12 for calling a global function with example usage: k_gauss(x, y, scale) and returns: np