class_docstr: BasicProfiler is the default profiler, which is implemented based on
  cProfile and Accumulator
class_docstr_tok: ["BasicProfiler","is","the","default","profiler",",","which","is","implemented","based","on","cProfile","and","Accumulator"]
docstr: Runs and profiles the method to_profile passed in. A profile object is returned.
docstr_tok: ["Runs","and","profiles","the","method","to_profile","passed","in",".","A","profile","object","is","returned","."]
code: def profile(
      self, func: Callable[..., Any], *args: Any, **kwargs: Any
  ) -> Any:
      """Runs and profiles the method to_profile passed in. A profile object is returned."""
      pr = cProfile.Profile()
      ret = pr.runcall(func, *args, **kwargs)
      st = pstats.Stats(pr)
      st.stream = None  # type: ignore[attr-defined]  # make it picklable
      st.strip_dirs()
  
      # Adds a new profile to the existing accumulated value
      self._accumulator.add(st)  # type: ignore[arg-type]
  
      return ret
  
imports: from typing import Any, Callable, Dict, List, Optional, Tuple, Type, TYPE_CHECKING, Union, cast
  import cProfile
  import inspect
  import pstats
  import linecache
  import os
  import atexit
  import sys
  import warnings
  from pyspark.accumulators import AccumulatorParam
  from pyspark.errors import PySparkRuntimeError
label_desc: Use image node_id 2 for calling the BasicProfiler obj's underlying member method code with example usage: obj.profile(func) and returns: ret