code: def clip_evals(x, value=0):  # threshold=0, value=0):
      evals, evecs = np.linalg.eigh(x)
      clipped = np.any(evals < value)
      x_new = np.dot(evecs * np.maximum(evals, value), evecs.T)
      return x_new, clipped
  
imports: import numpy
  import scipy.sparse
  from scipy.sparse.linalg import svds
  from scipy.optimize import fminbound
  import warnings
  from statsmodels.tools.tools import Bunch
  from statsmodels.tools.sm_exceptions import IterationLimitWarning, iteration_limit_doc
label_desc: Use image node_id 1 for calling a global function with example usage: clip_evals(x, value) and returns: x_new,  clipped