def test_set_obs(adata, subset_func):
    init_hash = joblib.hash(adata)

    subset = adata[subset_func(adata.obs_names), :]

    new_obs = pd.DataFrame(
        dict(a=np.ones(subset.n_obs), b=np.ones(subset.n_obs)),
        index=subset.obs_names,
    )

    assert subset.is_view
    subset.obs = new_obs
    assert not subset.is_view
    assert np.all(subset.obs == new_obs)

    assert joblib.hash(adata) == init_hash
def log_row(self, row_category: str, row: List[int]):
        """Logs a confusion matrix row.

        Args:
          row_category: Category to which the row belongs.
          row: List of integers specifying the values for the row.

        Raises:
          ValueError: If row_category is not in the list of categories set in
            set_categories or size of the row does not match the size of
            categories.
        """
        if row_category not in self._categories:
            raise ValueError('Invalid category: {} passed. Expected one of: {}'.\
              format(row_category, self._categories))

        if len(row) != len(self._categories):
            raise ValueError('Invalid row. Expected size: {} got: {}'.\
              format(len(self._categories), len(row)))

        self._matrix[self._categories.index(row_category)] = row