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: Number of seconds that the sampling procedure took.
  
  (Includes parallelization overhead.)
docstr_tok: ["Number","of","seconds","that","the","sampling","procedure","took",".","(","Includes","parallelization","overhead",".",")"]
code: def t_sampling(self) -> Optional[float]:
      """
      Number of seconds that the sampling procedure took.
  
      (Includes parallelization overhead.)
      """
      return self._t_sampling
  
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 6 for calling the SamplerReport obj's underlying member method code with example usage: obj.t_sampling() and returns: self