code: def evaluate(op, op_str, a, b, use_numexpr=True, **eval_kwargs):
      """evaluate and return the expression of the op on a and b
  
      Parameters
      ----------
  
      op :    the actual operand
      op_str: the string version of the op
      a :     left operand
      b :     right operand
      use_numexpr : whether to try to use numexpr (default True)
      """
  
      use_numexpr = use_numexpr and _bool_arith_check(op_str, a, b)
      if use_numexpr:
          return _evaluate(op, op_str, a, b, **eval_kwargs)
      return _evaluate_standard(op, op_str, a, b)
  
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 10 for calling a global function with example usage: evaluate(op, op_str, a, b, use_numexpr) and returns: _evaluate_standard, _evaluate