def test_adaptive_boundary(self):
ph = PoWHelper()
parent_difficulty = StringToUInt256("5000")
current_difficulty = ph.getDifficulty(
timestamp=105,
parent_timestamp=100,
parent_difficulty=parent_difficulty)
expected_difficulty = StringToUInt256("8125")
print(parent_difficulty)
print(expected_difficulty)
print(current_difficulty)
self.assertEqual(expected_difficulty, current_difficulty)
boundary = ph.getBoundary(current_difficulty)
expected_boundary = StringToUInt256(
"14251334059977377898285659693376973274248613497309607881779394954820077494"
)
self.assertEqual(expected_boundary, boundary)
def main():
ph = PoWHelper()
qm = CustomQMiner()
input_bytes = [0x03, 0x05, 0x07, 0x09, 0x19]
difficulty = StringToUInt256("5000")
for i in range(10):
boundary = ph.getBoundary(difficulty)
# print("difficulty ", difficulty)
print("difficulty str ", UInt256ToString(difficulty))
print("boundary ", boundary)
# print("boundary str ", UInt256ToString(boundary))
start = time.time()
# Set input bytes, nonce
qm.setInput(input=input_bytes, nonceOffset=0, target=boundary)
qm.start(thread_count=2)
while not qm.solutionFound():
time.sleep(1)
print("time ", qm.end - start)
print("hash ", qm.solutionHash())
print()
# Set a new difficulty
difficulty = ph.getDifficulty(int(qm.end), int(start), difficulty)
def get(measurement, parent_difficulty, dev_config):
ph = PoWHelper(kp=dev_config.kp,
set_point=dev_config.block_timing_in_seconds)
current_difficulty = ph.getDifficulty(measurement=measurement,
parent_difficulty=parent_difficulty)
current_target = ph.getTarget(current_difficulty)
return current_difficulty, current_target
def get(measurement,
parent_difficulty):
ph = PoWHelper(kp=config.dev.kp,
set_point=config.dev.mining_setpoint_blocktime)
current_difficulty = ph.getDifficulty(measurement=measurement,
parent_difficulty=parent_difficulty)
current_target = ph.getTarget(current_difficulty)
return current_difficulty, current_target
def get(self,
measurement,
parent_difficulty):
ph = PoWHelper(kp=config.dev.kp,
set_point=config.dev.mining_setpoint_blocktime)
current_difficulty = ph.getDifficulty(measurement=measurement,
parent_difficulty=parent_difficulty)
current_target = ph.getBoundary(current_difficulty)
return current_difficulty, current_target
def test_adaptive_target(self):
ph = PoWHelper()
parent_difficulty = StringToUInt256("5000")
current_difficulty = ph.getDifficulty(
measurement=104, parent_difficulty=parent_difficulty)
expected_difficulty = '4644'
print(parent_difficulty)
print(expected_difficulty)
print(current_difficulty)
self.assertEqual(expected_difficulty,
UInt256ToString(current_difficulty))
target = ph.getTarget(current_difficulty)
expected_target = "12766941454368345787240450318120704813017110301439674670851728194227068997120"
self.assertEqual(expected_target, UInt256ToString(target))
def main():
persistent_state = State()
chain_manager = ChainManager(state=persistent_state)
chain_manager.load(GenesisBlock())
ph = PoWHelper()
difficulty = StringToUInt256('5000')
filename = os.path.expanduser(
"~/crypto/qryptonight/modeling/blockdata.csv")
with open(filename, 'w') as f:
f.write("i,timestamp,prev_timestamp,delta,difficulty,target\n")
prev_timestamp = None
for i in range(chain_manager.height):
block = chain_manager.get_block_by_number(i)
if i == 0:
prev_timestamp = block.blockheader.timestamp
continue
target = ph.getTarget(difficulty)
delta = block.blockheader.timestamp - prev_timestamp
outs = "{},{},{},{},{},{}\n".format(i, block.blockheader.timestamp,
prev_timestamp, delta,
UInt256ToString(difficulty),
UInt256ToString(target))
f.write(outs)
difficulty = ph.getDifficulty(block.blockheader.timestamp,
prev_timestamp, difficulty)
difficulty = StringToUInt256(
str(max(2, int(UInt256ToString(difficulty)))))
prev_timestamp = block.blockheader.timestamp
difficulty = StringToUInt256('5000')
delta = 0
filename = os.path.expanduser("~/crypto/qryptonight/modeling/blockdata.csv")
with open(filename, 'w') as f:
f.write("i,timestamp,prev_timestamp,delta,difficulty,target\n")
prev_timestamp = None
for i in range(chain_manager.height):
block = chain_manager.get_block_by_number(i)
if i == 0:
prev_timestamp = block.blockheader.timestamp
continue
target = ph.getTarget(difficulty)
delta = block.blockheader.timestamp - prev_timestamp
outs = "{},{},{},{},{},{}\n".format(i, block.blockheader.timestamp,
prev_timestamp, delta,
UInt256ToString(difficulty),
UInt256ToString(target))
f.write(outs)
difficulty = ph.getDifficulty(block.blockheader.timestamp,
prev_timestamp, difficulty)
difficulty = StringToUInt256(
str(max(2, int(UInt256ToString(difficulty)))))
prev_timestamp = block.blockheader.timestamp
difficulty = StringToUInt256('5000')
delta = 0
filename = os.path.expanduser("~/crypto/qryptonight/modeling/blockdata.csv")
with open(filename, 'w') as f:
f.write("i,timestamp,prev_timestamp,delta,difficulty,boundary\n")
prev_timestamp = None
for i in range(chain_manager.height):
block = chain_manager.get_block_by_number(i)
if i == 0:
prev_timestamp = block.blockheader.timestamp
continue
boundary = ph.getBoundary(difficulty)
delta = block.blockheader.timestamp - prev_timestamp
outs = "{},{},{},{},{},{}\n".format(i,
block.blockheader.timestamp,
prev_timestamp,
delta,
UInt256ToString(difficulty),
UInt256ToString(boundary))
f.write(outs)
difficulty = ph.getDifficulty(block.blockheader.timestamp, prev_timestamp, difficulty)
difficulty = StringToUInt256(str(max(2, int(UInt256ToString(difficulty)))))
prev_timestamp = block.blockheader.timestamp