def test_command_usage5():
cmd = Command('train',
options=[
Option(name='optimizer', type=str),
Option(name='learning-rate', default=0.0001, short='l')
])
assert cmd.usage() == USAGE_5
def test_command_3():
cmd = Command('predict', options=[Option(name="@AI")])
assert cmd.parse(["@stubborn-dishwasher", "predict"]) == {
'@AI': 'stubborn-dishwasher'
}
with pytest.raises(VergeMLError):
cmd.parse(["predict"])
def test_command_usage6():
cmd = Command('train', options=[
Option(name='a', type=str, default="A"),
Option(name='b', type=str, default="B"),
Option(name='c', type=str, default="C"),
])
assert cmd.usage() == USAGE_6
def test_command_2():
cmd = Command('run', options=[Option('<args>', type=list), Option('@AIs', type=list)])
assert cmd.parse(["run", "tensorboard"]) == {'@AIs': [], '<args>': ["tensorboard"]}
assert cmd.parse(["@funky-terminator", "run", "tensorboard"]) == \
{'@AIs': ['funky-terminator'], '<args>': ["tensorboard"]}
assert cmd.parse(["@funky-terminator", "@touchy-brobot", "run", "tensorboard", "--port=2204"]) == \
{'@AIs': ['funky-terminator', 'touchy-brobot'], '<args>': ["tensorboard", "--port=2204"]}
def test_command_usage9():
cmd = Command('predict', options=[
Option(name='<file>', type='Optional[str]', descr="The file to use when predicting."),
Option(name='a', type=str, default="A"),
Option(name='b', type=str, default="B"),
Option(name='c', type=str, default="C"),
])
assert cmd.usage() == USAGE_9
def test_command_usage8():
cmd = Command('predict', options=[
Option(name='<file>', type='Optional[str]'),
Option(name='a', type=str, default="A"),
Option(name='b', type=str, default="B"),
Option(name='c', type=str, default="C"),
])
assert cmd.usage() == USAGE_8
def test_command_7():
cmd = Command('help', options=[Option(name='<topic>'),
Option(name="@AI", type='Optional[@]')], free_form=True)
assert cmd.parse(["@funky-robot", "help", "--option=xyz", "something"]) == \
('funky-robot', ["--option=xyz", "something"])
assert cmd.parse(["help", "--option=xyz", "something"]) == \
(None, ["--option=xyz", "something"])
def test_command_usage11():
cmd = Command('predict',
options=[
Option(name='@AIs', type="List[AI]"),
Option(name='threshold',
default=0.2,
descr="Prediction Threshold.")
])
assert cmd.usage() == USAGE_11
def test_command_usage4():
cmd = Command('predict',
options=[
Option(name='@AI'),
Option(name='threshold',
default=0.2,
descr="Prediction Threshold.")
])
assert cmd.usage() == USAGE_4
def test_command_5():
options = [
Option('threshold', type=float, validate=">0", short='t'),
Option('id', default=False, type=bool, flag=True, short='i')
]
cmd = Command('predict', options=options)
assert cmd.parse(["predict", "--threshold=0.2"]) == {'threshold': 0.2, 'id': False}
assert cmd.parse(["predict", "-t0.2"]) == {'threshold': 0.2, 'id': False}
assert cmd.parse(["predict", "-t0.2", "--id"]) == {'threshold': 0.2, 'id': True}
assert cmd.parse(["predict", "-t0.2", "-i"]) == {'threshold': 0.2, 'id': True}
def test_command_usage13():
cmd = Command('predict',
long_descr="Make a prediction.",
examples="ml @skynet predict",
options=[
Option(name='@AIs', type="List[AI]"),
Option(name='threshold',
default=0.2,
descr="Prediction Threshold.")
])
assert cmd.usage() == USAGE_13
def test_command_1():
cmd = Command('train', options=[Option('epochs', 20, int, validate='>=1')])
assert cmd.parse(["train", "--epochs=14"]) == {'epochs': 14}
with pytest.raises(VergeMLError):
cmd.parse(["train", "--epochs=abc"])
with pytest.raises(VergeMLError):
cmd.parse(["train", "--epochz=14"])
with pytest.raises(VergeMLError):
cmd.parse(["train", "--epochs=-1"])
def decorator(o):
assert(getattr(o, _CMD_META_KEY, None) is None)
_name = name or getattr(o, '__name__', None)
options = list(reversed(Option.discover(o)))
cmd = Command(_name,
descr=descr,
long_descr=long_descr,
examples=examples,
options=options,
free_form=free_form,
kind=kind)
setattr(o, _CMD_META_KEY, cmd)
return o
def test_command_4():
cmd = Command('predict', options=[Option(name="@AI", type="Optional[AI]")])
assert cmd.parse(["@stubborn-dishwasher", "predict"]) == {
'@AI': 'stubborn-dishwasher'
}
assert cmd.parse(["predict"]) == {'@AI': None}
def test_command_usage1():
cmd = Command('new', options=[Option(name='<project-name>')])
assert cmd.usage() == USAGE_1
def test_command_6():
cmd = Command('new', options=[Option(name='<project-name>', type='str')])
assert cmd.parse(["new", "xxx"]) == {'<project-name>': "xxx"}
with pytest.raises(VergeMLError):
cmd.parse(["new"])
def test_command_usage2():
cmd = Command('train',
options=[Option(name='learning-rate', default=0.0001)])
assert cmd.usage() == USAGE_2
