本文整理汇总了Python中datalad.api.Dataset.is_installed方法的典型用法代码示例。如果您正苦于以下问题：Python Dataset.is_installed方法的具体用法？Python Dataset.is_installed怎么用？Python Dataset.is_installed使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类datalad.api.Dataset的用法示例。
在下文中一共展示了Dataset.is_installed方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_reproin_largely_smoke
# 需要导入模块: from datalad.api import Dataset [as 别名]
# 或者: from datalad.api.Dataset import is_installed [as 别名]
def test_reproin_largely_smoke(tmpdir, heuristic, invocation):
is_bids = True if heuristic == 'reproin' else False
arg = "--random-seed 1 -f %s -c dcm2niix -o %s" \
% (heuristic, tmpdir)
if is_bids:
arg += " -b"
arg += " --datalad "
args = (
arg + invocation
).split(' ')
# Test some safeguards
if invocation == "--files %s" % TESTS_DATA_PATH:
# Multiple subjects must not be specified -- only a single one could
# be overridden from the command line
with pytest.raises(ValueError):
runner(args + ['--subjects', 'sub1', 'sub2'])
if heuristic != 'reproin':
# none other heuristic has mighty infotoids atm
with pytest.raises(NotImplementedError):
runner(args)
return
runner(args)
ds = Dataset(str(tmpdir))
assert ds.is_installed()
assert not ds.repo.dirty
head = ds.repo.get_hexsha()
# and if we rerun -- should fail
lgr.info(
"RERUNNING, expecting to FAIL since the same everything "
"and -c specified so we did conversion already"
)
with pytest.raises(RuntimeError):
runner(args)
# but there should be nothing new
assert not ds.repo.dirty
assert head == ds.repo.get_hexsha()
# unless we pass 'overwrite' flag
runner(args + ['--overwrite'])
# but result should be exactly the same, so it still should be clean
# and at the same commit
assert ds.is_installed()
assert not ds.repo.dirty
assert head == ds.repo.get_hexsha()