code: def log_likelihood(params):
      mean, sigma = params
      return scipy.stats.norm.logpdf(y, mean, sigma).sum()
  
file_path: ultranest/tests/test_hotstart.py
imports: from __future__ import print_function, division
  import numpy
  import scipy.stats
  from numpy import log10
  from ultranest import ReactiveNestedSampler
  from ultranest.utils import vectorize
  from ultranest.integrator import warmstart_from_similar_file
  from ultranest.hotstart import reuse_samples, get_extended_auxiliary_problem
  from ultranest.hotstart import compute_quantile_intervals, get_auxiliary_contbox_parameterization, compute_quantile_intervals_refined
  import os
  import tempfile
label_desc: Use image node_id 2 for calling a global function with example usage: log_likelihood(params) and returns: scipy