Coverage for python/lsst/pipe/base/tests/util.py: 11%

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1# This file is part of pipe_base. 

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 program is free software: you can redistribute it and/or modify 

10# it under the terms of the GNU General Public License as published by 

11# the Free Software Foundation, either version 3 of the License, or 

12# (at your option) any later version. 

13# 

14# This program is distributed in the hope that it will be useful, 

15# but WITHOUT ANY WARRANTY; without even the implied warranty of 

16# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 

17# GNU General Public License for more details. 

18# 

19# You should have received a copy of the GNU General Public License 

20# along with this program. If not, see <http://www.gnu.org/licenses/>. 

21 

22"""Collection of common methods for use in unit tests.""" 

23 

24from __future__ import annotations 

25 

26from lsst.daf.butler import DatasetRef 

27 

28from ..graph import QuantumGraph 

29 

30 

31def check_output_run(graph: QuantumGraph, run: str) -> list[DatasetRef]: 

32 """Check that all output and intermediate datasets belong to a 

33 specified run. 

34 

35 Parameters 

36 ---------- 

37 graph : `Quantumgraph` 

38 Quantum graph. 

39 run : `str` 

40 Output run name. 

41 

42 Returns 

43 refs : `list` [ `DatasetRef` ] 

44 List of output/intermediate dataset references that do NOT belong to 

45 the specified run. 

46 """ 

47 

48 # Collect all inputs/outputs, so that we can build intermediate refs. 

49 output_refs = [] 

50 input_refs = [] 

51 for node in graph: 

52 for refs in node.quantum.outputs.values(): 

53 output_refs += refs 

54 for refs in node.quantum.inputs.values(): 

55 input_refs += refs 

56 for task_def in graph.iterTaskGraph(): 

57 init_refs = graph.initOutputRefs(task_def) 

58 if init_refs: 

59 output_refs += init_refs 

60 init_refs = graph.initInputRefs(task_def) 

61 if init_refs: 

62 input_refs += init_refs 

63 output_refs += graph.globalInitOutputRefs() 

64 refs = [ref for ref in output_refs if ref.run != run] 

65 

66 output_ids = {ref.id for ref in output_refs} 

67 intermediates = [ref for ref in input_refs if ref.id in output_ids] 

68 refs += [ref for ref in intermediates if ref.run != run] 

69 

70 return refs