code: def run(n=3000):
      if n == "short":
          n = 150
      with model:
          trace = sample(n, tune=int(n / 2), init="advi+adapt_diag")
  
      for i, country in enumerate(countries):
          plt.subplot(2, 3, i + 1)
          plt.title(country)
  
          d = data[data.area == country]
          plt.plot(d.age, d.value, ".")
          plt.plot(knots, trace[y][::5, :, i].T, color="r", alpha=0.01)
  
          plt.ylim(0, rate.max())
  
imports: import matplotlib.pyplot
  import numpy
  import pandas
  from pymc3 import HalfCauchy, Model, Normal, get_data, sample
  from pymc3.distributions.timeseries import GaussianRandomWalk
label_desc: Use image node_id 2 for calling a global function with example usage: run(n) without return types