def test_raise_exception(self, _, args, input_image, expected_error):
with self.assertRaises(expected_error):
converter = FillHoles(**args)
if isinstance(input_image,
torch.Tensor) and torch.cuda.is_available():
_ = converter(clone(input_image).cuda())
else:
_ = converter(clone(input_image))
def test_raise_exception(self, _, args, input_image, expected_error):
key = CommonKeys.IMAGE
with self.assertRaises(expected_error):
converter = FillHolesd(keys=key, **args)
if isinstance(input_image, torch.Tensor) and torch.cuda.is_available():
_ = converter({key: clone(input_image).cuda()})[key]
else:
_ = converter({key: clone(input_image)})[key]
def test_correct_results(self, _, args, input_image, expected):
converter = KeepLargestConnectedComponent(**args)
if isinstance(input_image, torch.Tensor) and torch.cuda.is_available():
result = converter(clone(input_image).cuda())
else:
result = converter(clone(input_image))
assert_allclose(result, expected)
def setup2repos(proj1, proj2):
path = proj1.git_real_path
with clone(path) as workdir:
with open(join(workdir, 'origin'), 'w') as f:
f.write('origin')
path = proj2.git_real_path
with clone(path) as workdir:
with open(join(workdir, 'origin'), 'w') as f:
f.write('modified')
def setup2repos(proj1, proj2):
path = proj1.git_real_path
with clone(path) as workdir:
with open(join(workdir, 'origin'), 'w') as f:
f.write('origin')
path = proj2.git_real_path
with clone(path) as workdir:
with open(join(workdir, 'origin'), 'w') as f:
f.write('modified')
def create_project_and_a_fork(self):
from nose import SkipTest
raise SkipTest(
"These tests have Segmentation Fault") # guibog 20121105
orig = CodeDoubanProject.add('orig', 'origuser')
with clone(orig.git_real_path) as workdir:
with open(os.path.join(workdir, 'a'), 'w') as f:
f.write("a line of code\n")
fork = orig.fork('fork', 'forkuser')
with clone(fork.git_real_path) as workdir:
with open(os.path.join(workdir, 'b'), 'w') as f:
f.write("another line of code\n")
return orig, fork
def test_conflict_detection(self):
"""有冲突存在时，is_auto_mergable()应返回False"""
with mkdtemp() as tmpdir:
path, repo, fork_path, fork_repo = setup_repos(
tmpdir, 'test_conflict_detection')
# make conflict changes
with clone(path) as work_path:
with open(join(work_path, 'a'), 'w') as f:
f.write("asdf")
with clone(fork_path) as work_path:
with open(join(work_path, 'a'), 'w') as f:
f.write("fdsa")
# submit a pull request
pullreq = PullRequest.open(fork_repo, 'master', repo, 'master')
assert not pullreq.is_auto_mergable()
# assure merge --abort
assert not os.path.exists(os.path.join(path, 'MERGE_MODE'))
def test_conflict_detection(self):
"""有冲突存在时，is_auto_mergable()应返回False"""
with mkdtemp() as tmpdir:
path, repo, fork_path, fork_repo = setup_repos(
tmpdir, 'test_conflict_detection')
# make conflict changes
with clone(path) as work_path:
with open(join(work_path, 'a'), 'w') as f:
f.write("asdf")
with clone(fork_path) as work_path:
with open(join(work_path, 'a'), 'w') as f:
f.write("fdsa")
# submit a pull request
pullreq = PullRequest.open(fork_repo, 'master', repo, 'master')
assert not pullreq.is_auto_mergable()
# assure merge --abort
assert not os.path.exists(os.path.join(path, 'MERGE_MODE'))
def test_get_diffs(self):
"""应该能够得到所有将合并的diff"""
with setup2repos('prj4') as (path, repo, fork_path, fork_repo):
# make some change in origin repo, too
with clone(path) as work_path:
with chdir(work_path):
with open('b', 'w') as f:
f.write('b')
pullreq = PullRequest.open(fork_repo, 'master', repo, 'master')
diffs = pullreq.get_diff()
# should not contain file b in origin
eq_(diffs.length, 1)
def test_get_diffs(self):
"""应该能够得到所有将合并的diff"""
with setup2repos('prj4') as (path, repo, fork_path, fork_repo):
# make some change in origin repo, too
with clone(path) as work_path:
with chdir(work_path):
with open('b', 'w') as f:
f.write('b')
pullreq = PullRequest.open(fork_repo, 'master', repo, 'master')
diffs = pullreq.get_diff()
# should not contain file b in origin
eq_(diffs.length, 1)
def test_correct_results(self, _, args, input_image, expected):
converter = FillHoles(**args)
for p in TEST_NDARRAYS:
result = converter(p(clone(input_image)))
assert_allclose(result, p(expected))
def test_correct_results(self, _, args, input_image, expected):
key = CommonKeys.IMAGE
converter = FillHolesd(keys=key, **args)
for p in TEST_NDARRAYS:
result = converter({key: p(clone(input_image))})[key]
assert_allclose(result, p(expected), type_test="tensor")