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","."]
docstr: Whether the automatic convergence checks found serious problems.
docstr_tok: ["Whether","the","automatic","convergence","checks","found","serious","problems","."]
code: def ok(self):
      """Whether the automatic convergence checks found serious problems."""
      return all(
          _LEVELS[warn.level] < _LEVELS["warn"]
          for warn in self._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 3 for calling the SamplerReport obj's underlying member method code with example usage: obj.ok() and returns: all