def test_typefilter_list():
skips = [TypeMatcher(i) for i in filt_types_list]
car_class_copy = deepcopy(car_class)
df.modify_desc(skips, car_class_copy)
exp = {
'name': 'Car',
'namespace': 'util',
'parents': [],
'attrs': {
'nwheels': 'uint32',
'maxrpm': 'float64',
'maxspeed': 'float32'
},
'methods': {
('Car', ): None,
('~Car', ): None,
('isValid', ): {
'return': 'bool'
}
}
}
print('********\nCar class stuff (actual then expected):\n')
pprint.pprint(car_class_copy)
pprint.pprint(exp)
assert_equal(car_class_copy, exp)
def test_typefilter_dict():
skiptypes = {'Car': [TypeMatcher(i) for i in filt_types_dict['Car']],
'Plane': [TypeMatcher(i) for i in filt_types_dict['Plane']]}
skips_car = skiptypes['Car']
skips_plane = skiptypes['Plane']
# Copy the dictionaries that are going to be changed in place
car_class_copy = deepcopy(car_class)
plane_class_copy = deepcopy(plane_class)
df.modify_desc(skips_car, car_class_copy)
df.modify_desc(skips_plane, plane_class_copy)
exp_car = {
'name': 'Car',
'namespace': 'util',
'parents': [],
'attrs': {
'maxrpm': 'float64',
'maxspeed': 'float32',
'manufacturer': 'str'},
'methods': {
('Car',): None,
('~Car',): None,
('traffic', ('coord', (('vector', 'int32', 'const'), '&'))): {
'return': 'str'},
('isValid',): {
'return': 'bool'}}
}
exp_plane = {
'name': 'Plane',
'namespace': 'util',
'parents': [],
'attrs': {
'homeAirport': 'str',
'maxrpm': 'float64',
'manufacturer': 'str',
'position': ('vector', 'float64')},
'methods': {
('Plane',): None,
('Plane', ('homeAirport', 'str')): None,
('~Plane',): None,
('land', ('coord', (('vector', 'int32', 'const'), '&'))): {
'return': 'str'},
('isOnFire',): {
'return': 'bool'}}
}
print('********\nCar class stuff (actual then expected):\n')
pprint.pprint(car_class_copy)
pprint.pprint(exp_car)
print('********\nplane class stuff (actual then expected):\n')
pprint.pprint(plane_class_copy)
pprint.pprint(exp_plane)
assert_equal(car_class_copy, exp_car)
assert_equal(plane_class_copy, exp_plane)
def test_typefilter_dict():
skiptypes = {'Car': [TypeMatcher(i) for i in filt_types_dict['Car']],
'Plane': [TypeMatcher(i) for i in filt_types_dict['Plane']]}
skips_car = skiptypes['Car']
skips_plane = skiptypes['Plane']
# Copy the dictionaries that are going to be changed in place
car_class_copy = deepcopy(car_class)
plane_class_copy = deepcopy(plane_class)
df.modify_desc(skips_car, car_class_copy)
df.modify_desc(skips_plane, plane_class_copy)
exp_car = {
'name': 'Car',
'namespace': 'util',
'parents': [],
'attrs': {
'maxrpm': 'float64',
'maxspeed': 'float32',
'manufacturer': 'str'},
'methods': {
('Car',): None,
('~Car',): None,
('traffic', ('coord', (('vector', 'int32', 'const'), '&'))): {
'return': 'str'},
(('a_template_name', 'int32'),): {'return': 'bool'},
('isValid',): {'return': 'bool'}}
}
exp_plane = {
'name': 'Plane',
'namespace': 'util',
'parents': [],
'attrs': {
'homeAirport': 'str',
'maxrpm': 'float64',
'manufacturer': 'str',
'position': ('vector', 'float64')},
'methods': {
('Plane',): None,
('Plane', ('homeAirport', 'str')): None,
('~Plane',): None,
('land', ('coord', (('vector', 'int32', 'const'), '&'))): {
'return': 'str'},
('isOnFire',): {
'return': 'bool'}}
}
print('********\nCar class stuff (actual then expected):\n')
pprint.pprint(car_class_copy)
pprint.pprint(exp_car)
print('********\nplane class stuff (actual then expected):\n')
pprint.pprint(plane_class_copy)
pprint.pprint(exp_plane)
assert_equal(car_class_copy, exp_car)
assert_equal(plane_class_copy, exp_plane)
def test_typefilter_dict():
skiptypes = {
"Car": [TypeMatcher(i) for i in filt_types_dict["Car"]],
"Plane": [TypeMatcher(i) for i in filt_types_dict["Plane"]],
}
skips_car = skiptypes["Car"]
skips_plane = skiptypes["Plane"]
# Copy the dictionaries that are going to be changed in place
car_class_copy = deepcopy(car_class)
plane_class_copy = deepcopy(plane_class)
df.modify_desc(skips_car, car_class_copy)
df.modify_desc(skips_plane, plane_class_copy)
exp_car = {
"name": "Car",
"namespace": "util",
"parents": [],
"attrs": {"maxrpm": "float64", "maxspeed": "float32", "manufacturer": "str"},
"methods": {
("Car",): None,
("~Car",): None,
("traffic", ("coord", (("vector", "int32", "const"), "&"))): {"return": "str"},
(("a_template_name", "int32"),): {"return": "bool"},
("isValid",): {"return": "bool"},
},
}
exp_plane = {
"name": "Plane",
"namespace": "util",
"parents": [],
"attrs": {"homeAirport": "str", "maxrpm": "float64", "manufacturer": "str", "position": ("vector", "float64")},
"methods": {
("Plane",): None,
("Plane", ("homeAirport", "str")): None,
("~Plane",): None,
("land", ("coord", (("vector", "int32", "const"), "&"))): {"return": "str"},
("isOnFire",): {"return": "bool"},
},
}
print("********\nCar class stuff (actual then expected):\n")
pprint.pprint(car_class_copy)
pprint.pprint(exp_car)
print("********\nplane class stuff (actual then expected):\n")
pprint.pprint(plane_class_copy)
pprint.pprint(exp_plane)
assert_equal(car_class_copy, exp_car)
assert_equal(plane_class_copy, exp_plane)
def test_typefilter_list():
skips = [TypeMatcher(i) for i in filt_types_list]
car_class_copy = deepcopy(car_class)
df.modify_desc(skips, car_class_copy)
exp = {
"name": "Car",
"namespace": "util",
"parents": [],
"attrs": {"nwheels": "uint32", "maxrpm": "float64", "maxspeed": "float32"},
"methods": {("Car",): None, ("~Car",): None, ("isValid",): "bool"},
}
print("********\nCar class stuff (actual then expected):\n")
pprint.pprint(car_class_copy)
pprint.pprint(exp)
assert_equal(car_class_copy, exp)
def test_typefilter_list():
skips = [TypeMatcher(i) for i in filt_types_list]
car_class_copy = deepcopy(car_class)
df.modify_desc(skips, car_class_copy)
exp = {'name': 'Car', 'namespace': 'util', 'parents': [],
'attrs': {
'nwheels': 'uint32',
'maxrpm': 'float64',
'maxspeed': 'float32'},
'methods': {
('Car',): None,
('~Car',): None,
('isValid',): {'return': 'bool'}}
}
print('********\nCar class stuff (actual then expected):\n')
pprint.pprint(car_class_copy)
pprint.pprint(exp)
assert_equal(car_class_copy, exp)
