def test_lambda_conflator_str_dirty():
c = conflateddict.LambdaConflator(lambda x, y: x + sum(y))
for i in range(random.randint(1, 10)):
c[i] = 1
expected_str = '<LambdaConflator dirty:{dirty} entries:{entries}>'.format(
dirty=i + 1, entries=i + 1)
assert str(c) == expected_str
def test_lambda_conflator_default_args():
lc = conflateddict.LambdaConflator()
dc = conflateddict.ConflatedDict()
for i in range(10):
key = i % 3
lc[key] = i
dc[key] = i
assert lc[key] == dc[key]
def test_lambda_conflator():
c = conflateddict.LambdaConflator(lambda x, y: x + sum(y))
c[1] = 1
assert c[1] == 1
c[1] = 2
assert c[1] == 3
c[1] = 3
assert c[1] == 6
c.reset()
c[1] = 1
assert c[1] == 1
def test_lambda_conflator_name():
n = 'MyName'
c = conflateddict.LambdaConflator(lambda x, y: x + sum(y), n)
assert str(c) == '<{} dirty:{} entries:{}>'.format(n, 0, 0)
def test_lambda_conflator_str_clean():
c = conflateddict.LambdaConflator(lambda x, y: x + sum(y))
assert str(c) == '<LambdaConflator dirty:0 entries:0>'