code: def interpolate(x0, y0, x, group):
      x = np.array(x)
      group = np.array(group)
  
      idx = np.searchsorted(x0, x)
      dl = np.array(x - x0[idx - 1])
      dr = np.array(x0[idx] - x)
      d = dl + dr
      wl = dr / d
  
      return wl * y0[idx - 1, group] + (1 - wl) * y0[idx, group]
  
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 1 for calling a global function with example usage: interpolate(x0, y0, x, group) and returns: unknown