code: def _deterministic_vector_sign_flip(u):
      """Modify the sign of vectors for reproducibility. Flips the sign of
      elements of all the vectors (rows of u) such that the absolute
      maximum element of each vector is positive.
  
      Arguments
      ---------
      u : ndarray
          Array with vectors as its rows.
  
      Returns
      -------
      u_flipped : ndarray
          Array with the sign flipped vectors as its rows. The same shape as `u`.
      """
  
      max_abs_rows = np.argmax(np.abs(u), axis=1)
      signs = np.sign(u[range(u.shape[0]), max_abs_rows])
      u *= signs[:, np.newaxis]
      return u
  
imports: import csv
  import numbers
  import warnings
  import scipy
  import pytest
  import numpy
  from scipy import sparse
  from scipy.sparse.linalg import eigsh
  from scipy.sparse.csgraph import connected_components
  from scipy.sparse.csgraph import laplacian
label_desc: Use image node_id 11 for calling a global function with example usage: _deterministic_vector_sign_flip(u) and returns: u