def test_not_set_subset_X(matrix_type, subset_func):
    adata = ad.AnnData(matrix_type(asarray(sparse.random(20, 20))))
    init_hash = joblib.hash(adata)
    orig_X_val = adata.X.copy()
    while True:
        subset_idx = slice_subset(adata.obs_names)
        if len(adata[subset_idx, :]) > 2:
            break
    subset = adata[subset_idx, :]

    subset = adata[:, subset_idx]

    internal_idx = _normalize_index(
        subset_func(np.arange(subset.X.shape[1])), subset.var_names
    )
    assert subset.is_view
    subset.X[:, internal_idx] = 1
    assert not subset.is_view
    assert not np.any(asarray(adata.X != orig_X_val))

    assert init_hash == joblib.hash(adata)
def _checkProvenance(self, resp, item, version, user, eventType,
                         matches=None, fileInfo=None, resource='item'):
        if resp is None:
            resp = self._getProvenance(item, user, resource=resource)
        self.assertStatusOk(resp)
        itemProvenance = resp.json
        self.assertEqual(itemProvenance['resourceId'], str(item['_id']))
        provenance = itemProvenance['provenance']
        self.assertEqual(provenance['eventType'], eventType)
        self.assertEqual(provenance['version'], version)
        self.assertEqual(str(provenance['eventUser']), str(user['_id']))
        if matches:
            for key in matches:
                self.assertEqual(provenance[key], matches[key])
        if fileInfo:
            for key in fileInfo:
                if isinstance(fileInfo[key], dict):
                    for subkey in fileInfo[key]:
                        self.assertEqual(provenance['file'][0][key][subkey],
                                         fileInfo[key][subkey])
                else:
                    self.assertEqual(provenance['file'][0][key], fileInfo[key])