code: def load_protein0():
      X_train, y_train, X_test, y_test = load_protein()
      selected = y_train == 0
      y_train[selected] = 1
      y_train[~selected] = 0
      selected = y_test == 0
      y_test[selected] = 1
      y_test[~selected] = 0
      return X_train, y_train, X_test, y_test
  
imports: import os
  import numpy
  import scipy.sparse
  from sklearn.datasets.base import get_data_home
  from sklearn.utils import check_random_state
label_desc: Use image node_id 17 for calling a global function with example usage: load_protein0() and returns: X_train,  y_train,  X_test,  y_test