code: def adaptive_parzen_sampler(name):
      def wrapper(f):
          assert name not in adaptive_parzen_samplers
          adaptive_parzen_samplers[name] = f
          return f
  
      return wrapper
  
imports: import logging
  import time
  import numpy
  from scipy.special import erf
  from .None import pyll
  from .pyll import scope
  from .pyll.stochastic import implicit_stochastic
  from .base import miscs_to_idxs_vals
  from .base import miscs_update_idxs_vals
  from .None import rand
label_desc: Use image node_id 1 for calling a global function with example usage: adaptive_parzen_sampler(name) and returns: wrapper, f