Coverage for python/lsst/daf/butler/script/removeDatasetType.py: 67%
6 statements
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« prev ^ index » next coverage.py v7.5.0, created at 2024-05-02 10:24 +0000
1# This file is part of daf_butler.
2#
3# Developed for the LSST Data Management System.
4# This product includes software developed by the LSST Project
5# (http://www.lsst.org).
6# See the COPYRIGHT file at the top-level directory of this distribution
7# for details of code ownership.
8#
9# This software is dual licensed under the GNU General Public License and also
10# under a 3-clause BSD license. Recipients may choose which of these licenses
11# to use; please see the files gpl-3.0.txt and/or bsd_license.txt,
12# respectively. If you choose the GPL option then the following text applies
13# (but note that there is still no warranty even if you opt for BSD instead):
14#
15# This program is free software: you can redistribute it and/or modify
16# it under the terms of the GNU General Public License as published by
17# the Free Software Foundation, either version 3 of the License, or
18# (at your option) any later version.
19#
20# This program is distributed in the hope that it will be useful,
21# but WITHOUT ANY WARRANTY; without even the implied warranty of
22# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
23# GNU General Public License for more details.
24#
25# You should have received a copy of the GNU General Public License
26# along with this program. If not, see <http://www.gnu.org/licenses/>.
28from __future__ import annotations
30__all__ = ("removeDatasetType",)
32from .._butler import Butler
35def removeDatasetType(repo: str, dataset_type_name: tuple[str, ...]) -> None:
36 """Remove the named dataset type definition.
38 Parameters
39 ----------
40 repo : `str`
41 URI to the location of the repo or URI to a config file describing the
42 repo and its location.
43 dataset_type_name : `str`
44 The name of the dataset type to be removed.
45 """
46 butler = Butler.from_config(repo, writeable=True, without_datastore=True)
47 butler.registry.removeDatasetType(dataset_type_name)