code: def _get_syn_recommendations_from_asy(
      asy_acq, num_workers, list_of_gps, anc_datas
  ):
      """Returns a batch of (synchronous recommendations from an asynchronous acquisition."""
  
      def _get_next_and_append(_list_of_objects):
          """Internal function to return current gp and list of gps."""
          ret = _list_of_objects.pop(0)
          _list_of_objects = _list_of_objects + [ret]
          return ret, _list_of_objects
  
      # If list_of_gps is not a list, then make it a list.
      if not hasattr(list_of_gps, "__iter__"):
          list_of_gps = [list_of_gps] * num_workers
      if not hasattr(anc_datas, "__iter__"):
          anc_datas = [anc_datas] * num_workers
      # Create copies
      list_of_gps = [copy(gp) for gp in list_of_gps]
      anc_datas = [copy(ad) for ad in anc_datas]
      # Get first recommendation
      next_gp, list_of_gps = _get_next_and_append(list_of_gps)
      next_anc_data, anc_datas = _get_next_and_append(anc_datas)
      recommendations = [asy_acq(next_gp, next_anc_data)]
      for _ in range(1, num_workers):
          next_gp, list_of_gps = _get_next_and_append(list_of_gps)
          next_anc_data, anc_datas = _get_next_and_append(anc_datas)
          next_anc_data.eval_points_in_progress = recommendations
          recommendations.append(asy_acq(next_gp, next_anc_data))
      return recommendations
  
imports: from __future__ import division
  from argparse import Namespace
  from copy import copy
  import numpy
  from scipy.stats import norm
  from ..utils.general_utils import solve_lower_triangular
  from ..gp.gp_core import get_post_covar_from_raw_covar
  from ..exd.domains import EuclideanDomain
  from ..exd.exd_utils import maximise_with_method
label_desc: Use image node_id 4 for calling a global function with example usage: _get_syn_recommendations_from_asy(asy_acq, num_workers, list_of_gps, anc_datas) and returns: recommendations, ret,  _list_of_objects