code: def condition(self, X: np.ndarray) -> np.ndarray:
      c = np.array([True] * len(X))
      for variable in self.variables.keys():
          c = (
              c
              & (X[:, variable] > self.variables[variable].min_value)
              & (X[:, variable] <= self.variables[variable].max_value)
          )
      return c
  
file_path: imodels/imodels/experimental/bartpy/splitcondition.py
imports: from operator import le, gt
  from typing import Callable, List, Optional, Union
  import numpy
label_desc: Use image node_id 2 for calling the CombinedCondition obj's underlying member method code with example usage: obj.condition(X) and returns: c