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.
  
      Parameters
      ----------
      u : ndarray
          Array with vectors as its rows.
  
      Returns
      -------
      u_flipped : ndarray with same shape as u
          Array with the sign flipped vectors as its rows.
      """
      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: from __future__ import division
  from functools import partial
  import warnings
  import numpy
  from scipy import linalg
  from scipy.sparse import issparse, csr_matrix
  from .None import check_random_state
  from .fixes import np_version
  from ._logistic_sigmoid import _log_logistic_sigmoid
  from ..externals.six.moves import xrange
  from .sparsefuncs_fast import csr_row_norms
  from .validation import check_array
  from ..exceptions import NonBLASDotWarning
label_desc: Use image node_id 22 for calling a global function with example usage: _deterministic_vector_sign_flip(u) and returns: u