class_docstr: Bundle warnings, convergence stats and metadata of a sampling run.
class_docstr_tok: ["Bundle","warnings",",","convergence","stats","and","metadata","of","a","sampling","run","."]
code: def _warnings(self):
      chains = sum(self._chain_warnings.values(), [])
      return chains + self._global_warnings
  
file_path: pymc/pymc/backends/report.py
imports: import dataclasses
  import logging
  from typing import Dict, List, Optional
  from pymc.stats.convergence import _LEVELS, SamplerWarning
label_desc: Use image node_id 2 for calling the SamplerReport obj's underlying member method code with example usage: obj._warnings() and returns: unknown