code: def test_svd_flip(u_based):
      rng = np.random.RandomState(0)
      u = rng.randn(8, 3)
      v = rng.randn(3, 10)
      u = da.from_array(u, chunks=(-1, -1))
      v = da.from_array(v, chunks=(-1, -1))
      u2, v2 = svd_flip(u, v, u_based_decision=u_based)
  
      def set_readonly(x):
          x.setflags(write=False)
          return x
  
      u = u.map_blocks(set_readonly)
      v = v.map_blocks(set_readonly)
      u, v = svd_flip(u, v, u_based_decision=u_based)
      assert_eq(u, u2)
      assert_eq(v, v2)
  
imports: from itertools import product
  import dask.array
  import dask.dataframe
  import numpy
  import pandas
  import pytest
  import scipy
  import sklearn.decomposition
  from dask.array.utils import assert_eq
  from numpy.testing import assert_almost_equal, assert_array_almost_equal, assert_raises
  from sklearn import datasets
  from sklearn.utils import check_random_state
  import dask_ml.decomposition
  from dask_ml._compat import DASK_2_26_0
  from dask_ml.utils import assert_estimator_equal, flip_vector_signs, svd_flip
label_desc: Use image node_id 33 for calling a global function with example usage: test_svd_flip(u_based) and returns: x