def test_deepcopy_subset(adata, spmat: type):
    adata.obsp["arr"] = np.zeros((adata.n_obs, adata.n_obs))
    adata.obsp["spmat"] = spmat((adata.n_obs, adata.n_obs))

    adata = deepcopy(adata[:10].copy())

    assert isinstance(adata.obsp["arr"], np.ndarray)
    assert not isinstance(adata.obsp["arr"], ArrayView)
    np.testing.assert_array_equal(adata.obsp["arr"].shape, (10, 10))

    assert isinstance(adata.obsp["spmat"], spmat)
    assert not isinstance(
        adata.obsp["spmat"],
        SparseCSRView if spmat is sparse.csr_matrix else SparseCSCView,
    )
    np.testing.assert_array_equal(adata.obsp["spmat"].shape, (10, 10))
def GetCompletions_Basic_test( app ):
  filepath = PathToTestFile( 'basic.py' )
  completion_data = BuildRequest( filepath = filepath,
                                  filetype = 'python',
                                  contents = ReadFile( filepath ),
                                  line_num = 7,
                                  column_num = 3)

  results = app.post_json( '/completions',
                           completion_data ).json[ 'completions' ]

  assert_that( results,
               has_items(
                 CompletionEntryMatcher( 'a' ),
                 CompletionEntryMatcher( 'b' ),
                 CompletionLocationMatcher( 'line_num', 3 ),
                 CompletionLocationMatcher( 'line_num', 4 ),
                 CompletionLocationMatcher( 'column_num', 10 ),
                 CompletionLocationMatcher( 'filepath', filepath ) ) )