code: def svd_flip(u, v, u_based_decision=True):
      u2, v2 = delayed(_svd_flip_copy, nout=2)(
          u, v, u_based_decision=u_based_decision
      )
      u = da.from_delayed(u2, shape=u.shape, dtype=u.dtype)
      v = da.from_delayed(v2, shape=v.shape, dtype=v.dtype)
      return u, v
  
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 2 for calling a global function with example usage: svd_flip(u, v, u_based_decision) and returns: u,  v