def test_handle_arguments():
expected = {
"debug": False,
"quiet": False,
"output": ["recall-precision"],
"chart_filetype": "pdf",
"interpolation": True,
"predictors": [],
"exclude": "old",
"profile": None,
"training-file": "training"
}
args = handle_arguments(['training'])
for k, v in expected.items():
assert_equal(args[k], v)
args = handle_arguments(['training', 'test'])
for k, v in expected.items():
assert_equal(args[k], v)
assert_equal(args["test-file"], "test")
argstr = "-p CommonNeighbours Cosine -o fmax " \
"recall-precision -- training"
args = handle_arguments(argstr.split())
expected_special = {
"predictors": ["CommonNeighbours", "Cosine"],
"output": ["fmax", "recall-precision"]
}
for k, v in expected_special.items():
assert_equal(args[k], v)
args = handle_arguments(["training", "-i"])
assert_equal(args["interpolation"], False)
args = handle_arguments(["training", "-a"])
assert_equal(args["exclude"], "")
args = handle_arguments(["training", "-P", "foo.json"])
assert_equal(args["profile"], "foo.json")
args = handle_arguments(["training", "-f", "eps"])
assert_equal(args["chart_filetype"], "eps")
def test_handle_arguments():
expected = {
"debug": False,
"quiet": False,
"output": ["recall-precision"],
"chart_filetype": "pdf",
"interpolation": True,
"predictors": [],
"exclude": "old",
"profile": None,
"training-file": "training"
}
args = handle_arguments(['training'])
for k, v in expected.items():
assert_equal(args[k], v)
args = handle_arguments(['training', 'test'])
for k, v in expected.items():
assert_equal(args[k], v)
assert_equal(args["test-file"], "test")
argstr = "-p CommonNeighbours Cosine -o fmax " \
"recall-precision -- training"
args = handle_arguments(argstr.split())
expected_special = {"predictors": ["CommonNeighbours", "Cosine"],
"output": ["fmax", "recall-precision"]}
for k, v in expected_special.items():
assert_equal(args[k], v)
args = handle_arguments(["training", "-i"])
assert_equal(args["interpolation"], False)
args = handle_arguments(["training", "-a"])
assert_equal(args["exclude"], "")
args = handle_arguments(["training", "-P", "foo.json"])
assert_equal(args["profile"], "foo.json")
args = handle_arguments(["training", "-f", "eps"])
assert_equal(args["chart_filetype"], "eps")
def test_nonexisting_predictor():
sys.stderr = sys.stdout # Suppress nose output to stderr
handle_arguments(["some-network", "-p", "Aargh"])
def test_no_training_file():
sys.stderr = sys.stdout # Suppress nose output to stderr
handle_arguments([])
def test_nonexisting_predictor():
# Skip because nose always displays stderr output :-/
raise nose.SkipTest()
handle_arguments(["some-network", "-p", "Aargh"])
def test_no_training_file():
# Skip because nose always displays stderr output :-/
raise nose.SkipTest()
handle_arguments([])
def test_nonexisting_predictor():
sys.stderr = sys.stdout # Suppress nose output to stderr
handle_arguments(["some-network", "-p", "Aargh"])
def test_no_training_file():
sys.stderr = sys.stdout # Suppress nose output to stderr
handle_arguments([])
def test_no_training_file():
with pytest.raises(SystemExit):
handle_arguments([])
def test_nonexisting_predictor():
with pytest.raises(SystemExit):
handle_arguments(["some-network", "-p", "Aargh"])
