code: def test_johnson_lindenstrauss_min_dim():
      """Test Johnson-Lindenstrauss for small eps.
  
      Regression test for #17111: before #19374, 32-bit systems would fail.
      """
      assert (
          johnson_lindenstrauss_min_dim(100, eps=1e-5) == 368416070986
      )
  
imports: import functools
  import warnings
  from typing import Any, List
  import numpy
  import pytest
  import scipy.sparse
  from sklearn.exceptions import DataDimensionalityWarning, NotFittedError
  from sklearn.metrics import euclidean_distances
  from sklearn.random_projection import GaussianRandomProjection, SparseRandomProjection, _gaussian_random_matrix, _sparse_random_matrix, johnson_lindenstrauss_min_dim
  from sklearn.utils._testing import assert_allclose, assert_allclose_dense_sparse, assert_almost_equal, assert_array_almost_equal, assert_array_equal
  from sklearn.utils.fixes import COO_CONTAINERS
label_desc: Use image node_id 21 for calling a global function with example usage: test_johnson_lindenstrauss_min_dim() without return types