code: def test_no_empty_slice_warning():
      if not DASK_2_26_0:
          # See https://github.com/dask/dask/pull/6591
          pytest.xfail(
              "Dask SVD with wide arrays not supported until 2.26.0"
          )
      # test if we avoid numpy warnings for computing over empty arrays
      n_components = 10
      n_features = (
          n_components + 2
      )  # anything > n_comps triggered it in 0.16
      X = np.random.uniform(-1, 1, size=(n_components, n_features))
      dX = da.from_array(X, chunks=(n_components, n_features))
      pca = dd.PCA(n_components=n_components)
      with pytest.warns(None) as w:
          pca.fit(dX)
  
      assert len(w) == 0
  
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 4 for calling a global function with example usage: test_no_empty_slice_warning() without return types