code: def inplace_identity_derivative(Z, delta):
      """Apply the derivative of the identity function: do nothing.
  
      Parameters
      ----------
      Z : {array-like, sparse matrix}, shape (n_samples, n_features)
          The data which was output from the identity activation function during
          the forward pass.
  
      delta : {array-like}, shape (n_samples, n_features)
           The backpropagated error signal to be modified inplace.
      """
  
file_path: catboost/contrib/python/scikit-learn/py3/sklearn/neural_network/_base.py
imports: import numpy
  from scipy.special import expit
  from scipy.special import xlogy
label_desc: Use image node_id 6 for calling a global function with example usage: inplace_identity_derivative(Z, delta) without return types