def test_allocation(self):
study = Study.objects.get(slug='test-allocation-study')
study.auto_randomise = False
# note - we just test this, because it uses weighted_ranomisation too
User.objects.filter(username__startswith="0").delete()
users = [
make_user({
'username': i,
'email': i + "@TEST.COM",
'password': i
}) for i in [str(random.random()) for i in range(30)]
]
# repeat the test with different group weightings
ratios = list(permutations([1, 2, 3, 4], 3))
# [(1, 2, 3), (1, 2, 4), (1, 3, 2), (1, 3, 4) ... etc]
study.randomisation_probability = .5
study.save()
meanp = stats.lmean(
[.00001] +
[_get_p_for_allocation(study, users, i) for i in ratios])
assert meanp > .05
def test_making_membership(self):
""""Can we add a dummy user to the demo study?"""
study = Study.objects.get(slug='demo-study')
user = make_user({'username': "******", 'email': "*****@*****.**", 'password': "******"})
membership = Membership(study=study, user=user)
membership.save()
assert membership.condition is None # has not auto-randomised
allocate(membership)
membership.add_observations()
return membership
def test_autorandomisation(self):
study = Study.objects.get(slug='demo-study')
study.auto_randomise = False
study.save()
user = make_user({'username': "******", 'email': "*****@*****.**", 'password': "******"})
membership = Membership(study=study, user=user)
membership.save()
assert membership.condition is None
allocate(membership)
assert membership.condition is not None
def test_making_membership(self):
""""Can we add a dummy user to the demo study?"""
study = Study.objects.get(slug='demo-study')
user = make_user({
'username': "******",
'email': "*****@*****.**",
'password': "******"
})
membership = Membership(study=study, user=user)
membership.save()
assert membership.condition is None # has not auto-randomised
allocate(membership)
membership.add_observations()
return membership
def test_auto_add_observations(self):
study = Study.objects.get(slug='demo-study')
study.auto_add_observations = False
study.save()
user = make_user({'username': "******", 'email': "*****@*****.**", 'password': "******"})
membership = Membership(study=study, user=user)
membership.save()
assert membership.condition is None
allocate(membership)
assert membership.condition is not None
assert membership.observation_set.all().count() is 0
membership.add_observations()
assert membership.observation_set.all().count() is 1
def test_autorandomisation(self):
study = Study.objects.get(slug='demo-study')
study.auto_randomise = False
study.save()
user = make_user({
'username': "******",
'email': "*****@*****.**",
'password': "******"
})
membership = Membership(study=study, user=user)
membership.save()
assert membership.condition is None
allocate(membership)
assert membership.condition is not None
def test_allocation(self):
study = Study.objects.get(slug='test-allocation-study')
study.auto_randomise = False
# note - we just test this, because it uses weighted_ranomisation too
User.objects.filter(username__startswith="0").delete()
users = [make_user({'username': i, 'email': i + "@TEST.COM", 'password': i})
for i in [str(random.random()) for i in range(30)]]
# repeat the test with different group weightings
ratios = list(permutations([1, 2, 3, 4], 3))
# [(1, 2, 3), (1, 2, 4), (1, 3, 2), (1, 3, 4) ... etc]
study.randomisation_probability = .5
study.save()
meanp = stats.lmean([.00001] + [_get_p_for_allocation(study, users, i) for i in ratios])
assert meanp > .05
def test_auto_add_observations(self):
study = Study.objects.get(slug='demo-study')
study.auto_add_observations = False
study.save()
user = make_user({
'username': "******",
'email': "*****@*****.**",
'password': "******"
})
membership = Membership(study=study, user=user)
membership.save()
assert membership.condition is None
allocate(membership)
assert membership.condition is not None
assert membership.observation_set.all().count() is 0
membership.add_observations()
assert membership.observation_set.all().count() is 1
