def test_generate_trytes_and_multisqueeze(profile):
file = 'tests/test_files/generateTrytesAndMultiSqueeze'
with open(file, 'r') as f:
reader = csv.DictReader(f)
for count, line in enumerate(reader):
trytes = line['trytes']
hashes1 = line['Kerl_squeeze1']
hashes2 = line['Kerl_squeeze2']
hashes3 = line['Kerl_squeeze3']
trits = conv.trytes_to_trits(trytes)
kerl = Kerl()
kerl.absorb(trits)
trits_out = []
kerl.squeeze(trits_out)
trytes_out = conv.trits_to_trytes(trits_out)
assert hashes1 == trytes_out, f'line:{count + 2} {hashes1}!={trytes_out}'
trits_out = []
kerl.squeeze(trits_out)
trytes_out = conv.trits_to_trytes(trits_out)
assert hashes2 == trytes_out, f'line:{count + 2} {hashes2}!={trytes_out}'
trits_out = []
kerl.squeeze(trits_out)
trytes_out = conv.trits_to_trytes(trits_out)
assert hashes3 == trytes_out, f'line:{count + 2} {hashes3}!={trytes_out}'
if profile:
break
def test_absorb_0_length():
inp = (
'G9JYBOMPUXHYHKSNRNMMSSZCSHOFYOYNZRSZMAAYWDYEIMVVOGKPJBVBM9TDPULSFUNMTVXRKFIDOHUXX'
+
'VYDLFSZYZTWQYTE9SPYYWYTXJYQ9IFGYOLZXWZBKWZN9QOOTBQMWMUBLEWUEEASRHRTNIQWJQNDWRYLCA'
)
trits = conv.trytes_to_trits(inp)
kerl = Kerl()
with pytest.raises(ValueError) as e:
kerl.absorb(trits, length=0)
assert str(e) == 'trits length of 0 must be greater than zero'
def test_correct_first():
inp = 'EMIDYNHBWMBCXVDEFOFWINXTERALUKYYPPHKP9JJFGJEIUY9MUDVNFZHMMWZUYUSWAIOWEVTHNWMHANBH'
trits = conv.trytes_to_trits(inp)
kerl = Kerl()
kerl.absorb(trits)
trits_out = []
kerl.squeeze(trits_out)
trytes_out = conv.trits_to_trytes(trits_out)
expected = 'EJEAOOZYSAWFPZQESYDHZCGYNSTWXUMVJOVDWUNZJXDGWCLUFGIMZRMGCAZGKNPLBRLGUNYWKLJTYEAQX'
assert trytes_out == expected
def test_output_greater_243():
inp = '9MIDYNHBWMBCXVDEFOFWINXTERALUKYYPPHKP9JJFGJEIUY9MUDVNFZHMMWZUYUSWAIOWEVTHNWMHANBH'
trits = conv.trytes_to_trits(inp)
kerl = Kerl()
kerl.absorb(trits)
trits_out = []
kerl.squeeze(trits_out, length=486)
trytes_out = conv.trits_to_trytes(trits_out)
expected = (
'G9JYBOMPUXHYHKSNRNMMSSZCSHOFYOYNZRSZMAAYWDYEIMVVOGKPJBVBM9TDPULSFUNMTVXRKFIDOHUXX'
+
'VYDLFSZYZTWQYTE9SPYYWYTXJYQ9IFGYOLZXWZBKWZN9QOOTBQMWMUBLEWUEEASRHRTNIQWJQNDWRYLCA'
)
assert trytes_out == expected
def test_generate_multitrytes_and_hash(profile):
file = 'tests/test_files/generateMultiTrytesAndHash'
with open(file, 'r') as f:
reader = csv.DictReader(f)
for count, line in enumerate(reader):
trytes = line['multiTrytes']
hashes = line['Kerl_hash']
trits = conv.trytes_to_trits(trytes)
kerl = Kerl()
kerl.absorb(trits)
trits_out = []
kerl.squeeze(trits_out)
trytes_out = conv.trits_to_trytes(trits_out)
assert hashes == trytes_out, f'line:{count + 2} {hashes}!={trytes_out}'
if profile:
break
def test_input_greater_243():
inp = (
'G9JYBOMPUXHYHKSNRNMMSSZCSHOFYOYNZRSZMAAYWDYEIMVVOGKPJBVBM9TDPULSFUNMTVXRKFIDOHUXX'
+
'VYDLFSZYZTWQYTE9SPYYWYTXJYQ9IFGYOLZXWZBKWZN9QOOTBQMWMUBLEWUEEASRHRTNIQWJQNDWRYLCA'
)
trits = conv.trytes_to_trits(inp)
kerl = Kerl()
kerl.absorb(trits)
trits_out = []
kerl.squeeze(trits_out, length=486)
trytes_out = conv.trits_to_trytes(trits_out)
expected = (
'LUCKQVACOGBFYSPPVSSOXJEKNSQQRQKPZC9NXFSMQNRQCGGUL9OHVVKBDSKEQEBKXRNUJSRXYVHJTXBPD'
+
'WQGNSCDCBAIRHAQCOWZEBSNHIJIGPZQITIBJQ9LNTDIBTCQ9EUWKHFLGFUVGGUWJONK9GBCDUIMAYMMQX'
)
assert trytes_out == expected
from kerl import conv
from kerl.kerl import Kerl
dir_path = os.path.dirname(__file__)
start = time.time()
file = os.path.join(dir_path, '../tests/test_files/generateTrytesAndHashes')
with open(file, 'r') as f:
reader = csv.DictReader(f)
for count, line in enumerate(reader):
trytes = line['trytes']
hashes = line['Kerl_hash']
trits = conv.trytes_to_trits(trytes)
kerl = Kerl()
kerl.absorb(trits)
trits_out = []
kerl.squeeze(trits_out)
trytes_out = conv.trits_to_trytes(trits_out)
assert hashes == trytes_out, 'line:' + str(
count + 2) + ' ' + hashes + '!=' + trytes_out
file = os.path.join(dir_path, '../tests/test_files/generateMultiTrytesAndHash')
with open(file, 'r') as f:
reader = csv.DictReader(f)
for count, line in enumerate(reader):
trytes = line['multiTrytes']
hashes = line['Kerl_hash']