code: def gaussian_mixture(x, n=5):
      """Return a random mixture of *n* Gaussians, evaluated at positions *x*."""
  
      def add_random_gaussian(a):
          amplitude = 1 / (0.1 + np.random.random())
          dx = x[-1] - x[0]
          x0 = (2 * np.random.random() - 0.5) * dx
          z = 10 / (0.1 + np.random.random()) / dx
          a += amplitude * np.exp(-((z * (x - x0)) ** 2))
  
      a = np.zeros_like(x)
      for j in range(n):
          add_random_gaussian(a)
      return a
  
imports: import matplotlib.pyplot
  import numpy
  import matplotlib.ticker
label_desc: Use image node_id 1 for calling a global function with example usage: gaussian_mixture(x, n) and returns: a