code: def inplace_identity(X):
      """Simply leave the input array unchanged.
  
      Parameters
      ----------
      X : {array-like, sparse matrix}, shape (n_samples, n_features)
          Data, where `n_samples` is the number of samples
          and `n_features` is the number of features.
      """
  
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 1 for calling a global function with example usage: inplace_identity(X) without return types