def test_set_scalar_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(np.zeros((10, 10))))
    orig_X_val = adata.X.copy()
    subset_idx = slice_subset(adata.obs_names)

    adata_subset = adata[subset_idx, :]

    adata_subset.X = 1

    assert adata_subset.is_view
    assert np.all(asarray(adata[subset_idx, :].X) == 1)

    assert asarray((orig_X_val != adata.X)).sum() == mul(*adata_subset.shape)
def _getProvenance(self, item, user, version=None, resource='item',
                       checkOk=True):
        params = {}
        if version is not None:
            params = {'version': version}
        resp = self.request(
            path='/%s/%s/provenance' % (resource, item['_id']),
            method='GET', user=user, type='application/json', params=params)
        if checkOk:
            self.assertStatusOk(resp)
        return resp