def test_flush(self):
p = exercise.EntropyPool()
p.add_event(17, 9, b'hello')
p.add_event(2, 9, b' world')
seed = p._pools[9].flush()
self.assertEquals(seed,
exercise.double_sha(b'\x11\x05hello\x02\x06 world'))
self.assertEquals(p._pools[9].length, 0)
def test_add_event(self):
p = exercise.EntropyPool()
p.add_event(17, 9, b'hello')
# 1 byte for source id + 1 byte for length + 5 bytes of random data
self.assertEqual(p._pools[9].length, 7)
p.add_event(2, 9, b' world')
# previous size + 1 byte for source id + 1 byte for length + 6 bytes of random data
self.assertEquals(p._pools[9].length, 15)
def rate_limit_seeds(self):
p = exercise.EntropyPool()
p.add_event(1, 0, b'abcdefghijklmnopqrstuvwxyz')
p.add_event(2, 0, b'ABCDEFGHIJKLMNOPQRSTUVWXYZ')
p.add_event(3, 0, b'0123456789')
p.maybe_seed()
p.add_event(4, 0, b'abcdefghijklmnopqrstuvwxyz')
p.add_event(5, 0, b'ABCDEFGHIJKLMNOPQRSTUVWXYZ')
p.add_event(6, 0, b'0123456789')
# Should not reseed because less than 100 ms elapsed since last reseeding
self.assertEquals(p.maybe_seed(), None)
def test_return_just_the_first_pool_on_first_reseed(self):
p = exercise.EntropyPool()
p.add_event(1, 0, b'abcdefghijklmnopqrstuvwxyz')
p.add_event(2, 0, b'ABCDEFGHIJKLMNOPQRSTUVWXYZ')
p.add_event(3, 0, b'0123456789')
p.add_event(1, 1, b'will not get used')
p.add_event(1, 2, b'will not get used 2')
p.add_event(1, 3, b'will not get used 3')
self.assertEquals(
p.maybe_seed(),
exercise.double_sha(
b'\x01\x1aabcdefghijklmnopqrstuvwxyz\x02\x1aABCDEFGHIJKLMNOPQRSTUVWXYZ\x03\x0a0123456789'
))
def test_return_from_two_pools_second_reseed(self):
p = exercise.EntropyPool()
p.add_event(1, 0, b'abcdefghijklmnopqrstuvwxyz')
p.add_event(2, 0, b'ABCDEFGHIJKLMNOPQRSTUVWXYZ')
p.add_event(3, 0, b'0123456789')
p.add_event(1, 1, b'will get used')
p.add_event(1, 2, b'will not get used')
p.add_event(1, 3, b'will not get used 2')
p._reseed_count = 1
self.assertEquals(
p.maybe_seed(),
exercise.double_sha(
b'\x01\x1aabcdefghijklmnopqrstuvwxyz\x02\x1aABCDEFGHIJKLMNOPQRSTUVWXYZ\x03\x0a0123456789'
) + exercise.double_sha(b'\x01\x0dwill get used'))
def test_init(self):
p = exercise.EntropyPool()
self.assertEqual(len(p._pools), 32)
self.assertLess(p._last_reseed, time.time() - 0.1)
self.assertEqual(p.get_reseed_count(), 0)
def test_no_seed_if_pool_too_small(self):
p = exercise.EntropyPool()
p.add_event(1, 0, b'just a bit of data')
self.assertEquals(p.maybe_seed(), None)