code: def get_vars_in_point_list(trace, model):
      """Get the list of Variable instances in the model that have values stored in the trace."""
      if not isinstance(trace, MultiTrace):
          names_in_trace = list(trace[0])
      else:
          names_in_trace = trace.varnames
      traceable_varnames = {
          var.name for var in (model.free_RVs + model.deterministics)
      }
      vars_in_trace = [
          model[v] for v in names_in_trace if v in traceable_varnames
      ]
      return vars_in_trace
  
imports: import logging
  import warnings
  from typing import Any, Callable, Dict, Iterable, List, Optional, Sequence, Set, Tuple, Union, cast
  import numpy
  import xarray
  from arviz import InferenceData
  from fastprogress.fastprogress import progress_bar
  from pytensor import tensor
  from pytensor.graph.basic import Apply, Constant, Variable, ancestors, general_toposort, walk
  from pytensor.graph.fg import FunctionGraph
  from pytensor.tensor.random.var import RandomGeneratorSharedVariable, RandomStateSharedVariable
  from pytensor.tensor.sharedvar import SharedVariable
  from typing_extensions import TypeAlias
  import pymc
  from pymc.backends.arviz import _DefaultTrace
  from pymc.backends.base import MultiTrace
  from pymc.blocking import PointType
  from pymc.model import Model, modelcontext
  from pymc.pytensorf import compile_pymc
  from pymc.util import RandomState, _get_seeds_per_chain, dataset_to_point_list, get_default_varnames, point_wrapper
label_desc: Use image node_id 1 for calling a global function with example usage: get_vars_in_point_list(trace, model) and returns: vars_in_trace