code: def Minimizer_lnprob(p, x, y):
      noise = p["noise"].value
      return -0.5 * np.sum(
          (Minimizer_Residual(p, x, y) / noise) ** 2
          + np.log(2 * np.pi * noise**2)
      )
  
file_path: lmfit-py/asv_benchmarking/benchmarks/benchmarks.py
imports: from copy import deepcopy
  import numpy
  from lmfit import Minimizer, Parameters, conf_interval, minimize
label_desc: Use image node_id 3 for calling a global function with example usage: Minimizer_lnprob(p, x, y) and returns: unknown