class_docstr: Map between a `list` of stats to `dict` of stats.
class_docstr_tok: ["Map","between","a","`","list","`","of","stats","to","`","dict","`","of","stats","."]
docstr: Combine stats dicts of multiple samplers into one dict.
docstr_tok: ["Combine","stats","dicts","of","multiple","samplers","into","one","dict","."]
code: def map(self, stats_list: Sequence[Mapping[str, Any]]) -> StatsDict:
      """Combine stats dicts of multiple samplers into one dict."""
      stats_dict = {}
      for s, sts in enumerate(stats_list):
          for fname, sname, is_obj in self._stat_groups[s]:
              if sname not in sts:
                  continue
              stats_dict[fname] = sts[sname]
      return stats_dict
  
imports: import warnings
  from abc import ABC, abstractmethod
  from enum import IntEnum, unique
  from typing import Any, Dict, Iterable, List, Mapping, Sequence, Tuple, Union
  import numpy
  from pytensor.graph.basic import Variable
  from pymc.blocking import PointType, StatDtype, StatsDict, StatShape, StatsType
  from pymc.model import modelcontext
label_desc: Use image node_id 3 for calling the StatsBijection obj's underlying member method code with example usage: obj.map(stats_list) and returns: stats_dict