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 _getFileContent(self, file_path):
        try:
            f = open(file_path, 'rb')
            data = f.read()
            f.close()
            sys.stdout.write("[+]\tFile '%s' was loaded for exfiltration.\n" % file_path)
            return data
        except IOError, e:
            sys.stderr.write("[-]\tUnable to read file '%s'.\n%s.\n" % (file_path, e))
            return 1