code: def test_zero_variance(sparse_container):
      # Test VarianceThreshold with default setting, zero variance.
      X = data if sparse_container is None else sparse_container(data)
      sel = VarianceThreshold().fit(X)
      assert_array_equal([0, 1, 3, 4], sel.get_support(indices=True))
  
file_path: scikit-learn/sklearn/feature_selection/tests/test_variance_threshold.py
imports: import numpy
  import pytest
  from sklearn.feature_selection import VarianceThreshold
  from sklearn.utils._testing import assert_array_equal
  from sklearn.utils.fixes import BSR_CONTAINERS, CSC_CONTAINERS, CSR_CONTAINERS
label_desc: Use image node_id 1 for calling a global function with example usage: test_zero_variance(sparse_container) without return types