code: def _exp_relu(x):
      x[x < 0] = np.exp(x[x < 0])
      return x
  
imports: from typing import Dict, Hashable, List, Optional, Tuple, Union
  import networkx
  import numpy
  import pandas
  from sklearn.gaussian_process.kernels import RBF, Kernel
  from causalnex.structure import StructureModel
  from causalnex.structure.categorical_variable_mapper import VariableFeatureMapper, validate_schema
label_desc: Use image node_id 7 for calling a global function with example usage: _exp_relu(x) and returns: x