code: def eigenclip(sym_mat, min_eval=1e-5):
      """operation of the eigenclip
  
      A = symmetric matrix
      min_eval = minimum eigenvalue for clipping
  
      return the modified matrix
      """
      eig_val, eig_vec = np.linalg.eigh(sym_mat)
      eval_mod = np.maximum(eig_val, min_eval * np.ones(eig_val.shape))
      clipped_mat = np.dot(eig_vec * eval_mod, eig_vec.T)
      return clipped_mat
  
imports: import time
  from my_logistic_regression import MyLogisticRegression
  import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: eigenclip(sym_mat, min_eval) and returns: clipped_mat