code: def test_svd_flip_correction(shape, chunks, dtype):
      # Verify that sign-corrected SVD results can still
      # be used to reconstruct inputs
      x = (
          da.random.default_rng()
          .random(size=shape, chunks=chunks)
          .astype(dtype)
      )
      u, s, v = da.linalg.svd(x)
  
      # Choose precision in evaluation based on float precision
      decimal = 9 if np.dtype(dtype).itemsize > 4 else 6
  
      # Validate w/ dask inputs
      uf, vf = svd_flip(u, v)
      assert uf.dtype == u.dtype
      assert vf.dtype == v.dtype
      np.testing.assert_almost_equal(
          np.asarray(np.dot(uf * s, vf)), x, decimal=decimal
      )
  
      # Validate w/ numpy inputs
      uc, vc = svd_flip(*da.compute(u, v))
      assert uc.dtype == u.dtype
      assert vc.dtype == v.dtype
      np.testing.assert_almost_equal(
          np.asarray(np.dot(uc * s, vc)), x, decimal=decimal
      )
  
imports: from __future__ import annotations
  import sys
  import pytest
  import numpy
  import scipy.linalg
  from packaging.version import parse
  import dask.array
  from dask.array.linalg import qr, sfqr, svd, svd_compressed, tsqr
  from dask.array.numpy_compat import _np_version
  from dask.array.utils import assert_eq, same_keys, svd_flip
label_desc: Use image node_id 31 for calling a global function with example usage: test_svd_flip_correction(shape, chunks, dtype) without return types