code: def test_SparseRandomProj_output_representation(coo_container):
      dense_data = make_sparse_random_data(
          coo_container,
          n_samples,
          n_features,
          n_nonzeros,
          random_state=0,
          sparse_format=None,
      )
      sparse_data = make_sparse_random_data(
          coo_container,
          n_samples,
          n_features,
          n_nonzeros,
          random_state=0,
          sparse_format="csr",
      )
      for SparseRandomProj in all_SparseRandomProjection:
          # when using sparse input, the projected data can be forced to be a
          # dense numpy array
          rp = SparseRandomProj(
              n_components=10, dense_output=True, random_state=0
          )
          rp.fit(dense_data)
          assert isinstance(rp.transform(dense_data), np.ndarray)
          assert isinstance(rp.transform(sparse_data), np.ndarray)
  
          # the output can be left to a sparse matrix instead
          rp = SparseRandomProj(
              n_components=10, dense_output=False, random_state=0
          )
          rp = rp.fit(dense_data)
          # output for dense input will stay dense:
          assert isinstance(rp.transform(dense_data), np.ndarray)
  
          # output for sparse output will be sparse:
          assert sp.issparse(rp.transform(sparse_data))
  
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 17 for calling a global function with example usage: test_SparseRandomProj_output_representation(coo_container) without return types