code: def _evaluate_numexpr(
      op, op_str, a, b, truediv=True, reversed=False, **eval_kwargs
  ):
      result = None
  
      if _can_use_numexpr(op, op_str, a, b, "evaluate"):
          try:
              # we were originally called by a reversed op
              # method
              if reversed:
                  a, b = b, a
  
              a_value = getattr(a, "values", a)
              b_value = getattr(b, "values", b)
              result = ne.evaluate(
                  "a_value {op} b_value".format(op=op_str),
                  local_dict={"a_value": a_value, "b_value": b_value},
                  casting="safe",
                  truediv=truediv,
                  **eval_kwargs,
              )
          except ValueError as detail:
              if "unknown type object" in str(detail):
                  pass
  
      if _TEST_MODE:
          _store_test_result(result is not None)
  
      if result is None:
          result = _evaluate_standard(op, op_str, a, b)
  
      return result
  
file_path: catboost/contrib/python/pandas/py2/pandas/core/computation/expressions.py
imports: import warnings
  import numpy
  from pandas.core.dtypes.generic import ABCDataFrame
  import pandas.core.common
  from pandas.core.computation.check import _NUMEXPR_INSTALLED
  from pandas.core.config import get_option
label_desc: Use image node_id 5 for calling a global function with example usage: _evaluate_numexpr(op, op_str, a, b, truediv, reversed) and returns: result