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: import warnings
  from functools import partial
  from numbers import Integral
  import numpy
  from scipy import linalg, sparse
  from ..utils import deprecated
  from ..utils._param_validation import Interval, StrOptions, validate_params
  from .None import check_random_state
  from ._array_api import _is_numpy_namespace, device, get_namespace
  from .sparsefuncs_fast import csr_row_norms
  from .validation import check_array
label_desc: Use image node_id 17 for calling a global function with example usage: _deterministic_vector_sign_flip(u) and returns: u