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 __init__(self, filename, errors):
        """
        :param filename: The name of the transaction file being replayed
        :param errors: a list of error classes or a string with an error description
        """

        # store args in case someone wants to read them from a caught exception
        self.filename = filename
        if isinstance(errors, (list, tuple)):
            self.errors = errors
        else:
            self.errors = [errors]

        if filename:
            msg = _('The following problems occurred while replaying the transaction from file "{filename}":').format(filename=filename)
        else:
            msg = _('The following problems occurred while running a transaction:')

        for error in self.errors:
            msg += "\n  " + str(error)

        super(TransactionReplayError, self).__init__(msg)