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 retire_user(cls, user_id):
        """
        Retire user as part of GDPR Phase I
        Returns 'True' if records found

        :param user_id: int
        :return: bool
        """
        try:
            user_obj = User.objects.get(id=user_id)
        except User.DoesNotExist:
            return False

        photo_objects = cls.objects.filter(
            user=user_obj
        ).update(
            name='',
            face_image_url='',
            photo_id_image_url='',
            photo_id_key=''
        )
        return photo_objects > 0