code: def flip_vector_signs(x, axis):
      """Flip vector signs to align them for comparison
  
      Parameters
      ----------
      x : 2D array_like
          Matrix containing vectors in rows or columns
      axis : int, 0 or 1
          Axis in which vectors reside
      """
      assert x.ndim == 2
      signs = np.sum(x, axis=axis, keepdims=True)
      signs = signs.dtype.type(2) * (
          (signs >= 0) - signs.dtype.type(0.5)
      )
      return x * signs
  
imports: import contextlib
  import datetime
  import functools
  import logging
  import warnings
  from collections.abc import Sequence
  from multiprocessing import cpu_count
  from numbers import Integral
  from timeit import default_timer
  import dask
  import dask.array
  import dask.dataframe
  import numpy
  import pandas
  import sklearn.utils.extmath
  import sklearn.utils.validation
  from dask import delayed
  from dask.array.utils import assert_eq
  from dask.dataframe.utils import assert_eq
  from ._utils import ConstantFunction
label_desc: Use image node_id 3 for calling a global function with example usage: flip_vector_signs(x, axis) and returns: unknown