def test_multi_level(self):
base = self.simple_base
base.a = 1
extend = prototype(base).new
extend.b = 2
further = prototype(extend).new
further.c = 3
sibling = prototype(extend).new
sibling.d = 4
baby = prototype(sibling).new
baby.e = 5
assert base.a == extend.a == further.a == sibling.a == baby.a == 1
assert extend.b == further.b == sibling.b == baby.b == 2
assert further.c == 3
try:
sibling.c
assert False
except:
pass
try:
baby.c
except:
pass
assert sibling.d == baby.d == 4
assert baby.e == 5
def test_multi_level(self):
base = self.simple_base
base.a = 1
extend = prototype(base).new
extend.b = 2
further = prototype(extend).new
further.c = 3
sibling = prototype(extend).new
sibling.d = 4
baby = prototype(sibling).new
baby.e = 5
assert base.a == extend.a == further.a == sibling.a == baby.a == 1
assert extend.b == further.b == sibling.b == baby.b == 2
assert further.c == 3
try:
sibling.c
assert False
except:
pass
try:
baby.c
except:
pass
assert sibling.d == baby.d == 4
assert baby.e == 5
def test_mock(self):
assert self.base
sub = prototype(self.base)
return #TODO: make this work
print len(sub)
assert len(sub) == len(self.base)
def test_mock(self):
assert self.base
sub = prototype(self.base)
return #TODO: make this work
print len(sub)
assert len(sub) == len(self.base)
def test_instance_is_dynamic(self):
base = self.base
base.test = 0
extend = prototype(base)
assert extend.test == base.test == 0, "testing basic fallback"
base.test = 1
assert extend.test == base.test == 1, "testing dynamic fallback"
assert base.base_list == ['init']
def test_instance_is_dynamic(self):
base = self.base
base.test = 0
extend = prototype(base)
assert extend.test == base.test == 0, "testing basic fallback"
base.test = 1
assert extend.test == base.test == 1, "testing dynamic fallback"
assert base.base_list == ['init']
def test_instance(self):
base = self.base
base.base_test = 0
extend = prototype(base)
extend.test = 1
assert extend.base_test == base.base_test == 0, "testing fallback"
assert extend.test == 1, "testing basic setting"
assert extend.test2 == 'test2', "testing fallback"
assert base.test == 'test', "ensuring property didn't propagate up"
assert base.base_list == ['init', 'test2', 'test']
def test_instance(self):
base = self.base
base.base_test = 0
extend = prototype(base)
extend.test = 1
assert extend.base_test == base.base_test == 0, "testing fallback"
assert extend.test == 1, "testing basic setting"
assert extend.test2 == 'test2', "testing fallback"
assert base.test == 'test', "ensuring property didn't propagate up"
assert base.base_list == ['init', 'test2', 'test']
def test_existing_new_works(self):
base = self.base
base.new = 5
base.bar = 6
extend = prototype(base)
try:
extend.bar
assert False, "you can't use magic new removal if base has a new"
except PrototypeException:
pass
assert isinstance(extend, PrototypeSwitcher), "prototype switching"
extend2 = extend.new
assert not isinstance(extend2, PrototypeSwitcher), "switch worked"
assert extend2.bar == base.bar == 6, "switched instance prototypes corerctly"
extend3 = extend.new
assert id(extend2) == id(extend3), "news are singletons"
def test_existing_new_works(self):
base = self.base
base.new = 5
base.bar = 6
extend = prototype(base)
try:
extend.bar
assert False, "you can't use magic new removal if base has a new"
except PrototypeException:
pass
assert isinstance(extend, PrototypeSwitcher), "prototype switching"
extend2 = extend.new
assert not isinstance(extend2, PrototypeSwitcher), "switch worked"
assert extend2.bar == base.bar == 6, "switched instance prototypes corerctly"
extend3 = extend.new
assert id(extend2) == id(extend3), "news are singletons"
def test_instance_not_defined(self):
base = self.simple_base
base.test = 5
extend = prototype(base)
extend.extend_test = 42
assert base.test == extend.test == 5, "simple fallback"
try:
extend.foo
assert False, "extend.foo should raise an exception"
except AttributeError:
pass
assert extend.extend_test == 42, "basic setting"
try:
base.extend_test
assert False, "base.extend_test shouldn't be set (propagation)"
except AttributeError:
pass
def test_instance_not_defined(self):
base = self.simple_base
base.test = 5
extend = prototype(base)
extend.extend_test = 42
assert base.test == extend.test == 5, "simple fallback"
try:
extend.foo
assert False, "extend.foo should raise an exception"
except AttributeError:
pass
assert extend.extend_test == 42, "basic setting"
try:
base.extend_test
assert False, "base.extend_test shouldn't be set (propagation)"
except AttributeError:
pass
def test_functions_work(self):
import new
base = self.base
def id(self, x):
return x
base.id = new.instancemethod(id, base)
base.id(5)
extend = prototype(base)
extend.incr = lambda x: x + 1 #try adding a classmethod
def incr2(self, x):
return x + 2
extend.incr2 = new.instancemethod(incr2, extend) #and a bound method
assert base.id(5) == extend.id(5) == 5, "fallback instance methods work"
assert extend.incr(5) == 6, "bound class methods work"
assert extend.incr2(5) == 7, "bound instance methods work"
def test_functions_work(self):
import new
base = self.base
def id(self, x):
return x
base.id = new.instancemethod(id, base)
base.id(5)
extend = prototype(base)
extend.incr = lambda x: x + 1 #try adding a classmethod
def incr2(self, x):
return x + 2
extend.incr2 = new.instancemethod(incr2, extend) #and a bound method
assert base.id(5) == extend.id(
5) == 5, "fallback instance methods work"
assert extend.incr(5) == 6, "bound class methods work"
assert extend.incr2(5) == 7, "bound instance methods work"
Y_train = np.load(os.path.join(path, f'{dataset_name}_Y_TRAIN.npy'))
X_test = np.load(os.path.join(path, f'{dataset_name}_X_TEST.npy'))
Y_test = np.load(os.path.join(path, f'{dataset_name}_Y_TEST.npy'))
# ADAPT DATA TO ONE-CLASS CLASSIFICATION
print('AVAILABLE CLASSES: ', np.unique(Y_train))
positive = 1 # Choose a positive class
print('POSITVE CLASS: ', positive)
X_train = X_train[(Y_train == positive)]
Y_test = (Y_test == positive).astype(np.int8)
# SELECT DISS. MEASURE and PROTOTYPE METHOD
D, P = dissimilarity(), prototype()
Dissimilarity = D.kullback_leibler
diss_params = {}
# OR
#Dissimilarity = D.EDR # This is fairly slow
#diss_params = {'eps':0.25} # Threshold on distance for EDR computation
Prot_method = P.borders
# OR
#Prot_method = P.centers_k_means
# GET DISSIMILARITY MATRIX
# Some prototype methods eg "centers_k_means" do not require
# the computation of the dissimilarity matrix
#!/usr/bin/env python2
# Used to test the functionality of "prototype.py", which contains various size metrics
# computed on a given github repository.
from prototype import prototype
repos = [
"https://github.com/octocat/Spoon-Knife.git",
# "https://github.com/django/django.git",
"https://github.com/joyent/node.git",
"https://github.com/mono/mono.git",
"https://github.com/ruby/ruby.git",
"https://github.com/python-git/python.git",
"https://github.com/mirrors/gcc.git",
"https://github.com/pld-linux/koffice.git",
"https://github.com/GNOME/gimp.git",
"https://github.com/chromium/chromium.git",
"https://github.com/linuxmint/Cinnamon.git",
"https://github.com/torvalds/linux.git",
"https://github.com/apache/hadoop-common.git",
"https://github.com/visionmedia/express.git",
"https://github.com/freebsd/freebsd.git",
]
for repo in repos:
monoRepo = prototype()
monoRepo.init(repo)
monoRepo.printStats()
