code: def get_updates_and_outputs(ls):
      """
      This function tries to recognize the updates OrderedDict, the
      list of outputs and the stopping condition returned by the
      lambda expression and arrange them in a predefined order.
  
      WRITEME: what is the type of ls? how is it formatted?
              if it's not in the predefined order already, how does
              this function know how to put it in that order?
  
      """
  
      def is_outputs(elem):
          if isinstance(elem, (list, tuple)) and all(
              [isinstance(x, theano.Variable) for x in elem]
          ):
              return True
          if isinstance(elem, theano.Variable):
              return True
          return False
  
      def is_updates(elem):
          if isinstance(elem, dict):
              # Make sure the updates will be applied in a deterministic order
              if (
                  not isinstance(elem, compat.OrderedDict)
                  and len(elem) > 1
              ):
                  warnings.warn(
                      "Expected OrderedDict or OrderedUpdates, got "
                      + str(type(elem))
                      + ". This can make your script non-"
                      "deterministic."
                  )
              return True
          # Dictionaries can be given as lists of tuples
          if isinstance(elem, (list, tuple)) and all(
              [
                  isinstance(x, (list, tuple)) and len(x) == 2
                  for x in elem
              ]
          ):
              return True
          return False
  
      def is_condition(elem):
          return isinstance(elem, theano.scan_module.until)
  
      def _list(x):
          if isinstance(x, (list, tuple)):
              return list(x)
          else:
              return [x]
  
      def _filter(x):
          """
          Ensure `x` is made only of allowed data types.
  
          Return True iff `x` is made only of lists, tuples, dictionaries, Theano
          variables or `theano.scan_module.until` objects.
  
          """
          # Is `x` a container we can iterate on?
          iter_on = None
          if isinstance(x, list) or isinstance(x, tuple):
              iter_on = x
          elif isinstance(x, dict):
              iter_on = iteritems(x)
          if iter_on is not None:
              return all(_filter(y) for y in iter_on)
          else:
              return isinstance(x, theano.Variable) or isinstance(
                  x, theano.scan_module.until
              )
  
      if not _filter(ls):
          raise ValueError(
              "The return value of your scan lambda expression may only be "
              "made of lists, tuples, or dictionaries containing Theano "
              "variables (or `theano.scan_module.until` objects for "
              "conditions). In particular if you need to use constant "
              "values, you can use `tensor.constant` to turn them into "
              "Theano variables."
          )
  
      if is_outputs(ls):
          return None, _list(ls), OrderedDict()
      if is_updates(ls):
          return None, [], OrderedDict(ls)
      error_msg = (
          "Scan cannot parse the return value of your lambda "
          "expression, which is: %s" % (ls,)
      )
      if not isinstance(ls, (list, tuple)):
          raise ValueError(error_msg)
      ls = list(ls)
      deprecation_msg = (
          "The return value of the lambda function"
          " has been restricted. you have to always return first the"
          " outputs (if any), afterwards the updates (if any) and"
          " at the end the conclusion"
      )
      if len(ls) == 2:
          if is_outputs(ls[0]):
              if is_updates(ls[1]):
                  return (None, _list(ls[0]), OrderedDict(ls[1]))
              elif is_condition(ls[1]):
                  return (ls[1].condition, _list(ls[0]), OrderedDict())
              else:
                  raise ValueError(error_msg)
          elif is_updates(ls[0]):
              if is_outputs(ls[1]):
                  raise ValueError(deprecation_msg)
              elif is_condition(ls[1]):
                  return (ls[1].condition, [], OrderedDict(ls[0]))
              else:
                  raise ValueError(error_msg)
          else:
              raise ValueError(error_msg)
      elif len(ls) == 3:
          if is_outputs(ls[0]):
              if is_updates(ls[1]):
                  if is_condition(ls[2]):
                      return (
                          ls[2].condition,
                          _list(ls[0]),
                          OrderedDict(ls[1]),
                      )
                  else:
                      raise ValueError(error_msg)
              else:
                  raise ValueError(error_msg)
          else:
              raise ValueError(error_msg)
      else:
          raise ValueError(error_msg)
  
imports: from __future__ import absolute_import, print_function, division
  import copy
  import logging
  import warnings
  from collections import OrderedDict
  import numpy
  import theano
  from theano.compat import izip
  from six import string_types, iteritems
  from six.moves import xrange
  from theano.compile.pfunc import rebuild_collect_shared
  from theano import gof, compat
  from theano import tensor, scalar
  from theano.tensor.basic import get_scalar_constant_value
label_desc: Use image node_id 7 for calling a global function with example usage: get_updates_and_outputs(ls) and returns: False, False, isinstance, None,  _list,  OrderedDict, None,  list,  OrderedDict, True, True, True, True, list, list, all, unknown, None,  _list,  OrderedDict, ls,  _list,  OrderedDict, ls,  list,  OrderedDict, ls,  _list,  OrderedDict