def __init__(self, net, my_share_hashes, my_doa_share_hashes):
forest.Tracker.__init__(
self,
delta_type=forest.get_attributedelta_type(
dict(
forest.AttributeDelta.attrs,
work=lambda share: bitcoin_data.target_to_average_attempts(
share.target),
min_work=lambda share: bitcoin_data.
target_to_average_attempts(share.max_target),
)))
self.net = net
self.verified = forest.Tracker(
delta_type=forest.get_attributedelta_type(
dict(
forest.AttributeDelta.attrs,
work=lambda share: bitcoin_data.target_to_average_attempts(
share.target),
my_count=lambda share: 1
if share.hash in my_share_hashes else 0,
my_doa_count=lambda share: 1
if share.hash in my_doa_share_hashes else 0,
my_orphan_announce_count=lambda share: 1
if share.hash in my_share_hashes and share.share_data[
'stale_info'] == 'orphan' else 0,
my_dead_announce_count=lambda share: 1
if share.hash in my_share_hashes and share.share_data[
'stale_info'] == 'doa' else 0,
)),
subset_of=self)
self.get_cumulative_weights = WeightsSkipList(self)
def __init__(self, net):
forest.Tracker.__init__(self, delta_type=forest.get_attributedelta_type(dict(forest.AttributeDelta.attrs,
work=lambda share: bitcoin_data.target_to_average_attempts(share.target),
min_work=lambda share: bitcoin_data.target_to_average_attempts(share.max_target),
)))
self.net = net
self.verified = forest.SubsetTracker(delta_type=forest.get_attributedelta_type(dict(forest.AttributeDelta.attrs,
work=lambda share: bitcoin_data.target_to_average_attempts(share.target),
)), subset_of=self)
self.get_cumulative_weights = WeightsSkipList(self)
def __init__(self, net, my_share_hashes, my_doa_share_hashes):
forest.Tracker.__init__(self, delta_type=forest.get_attributedelta_type(dict(forest.AttributeDelta.attrs,
work=lambda share: bitcoin_data.target_to_average_attempts(share.target),
min_work=lambda share: bitcoin_data.target_to_average_attempts(share.max_target),
)))
self.net = net
self.verified = forest.Tracker(delta_type=forest.get_attributedelta_type(dict(forest.AttributeDelta.attrs,
work=lambda share: bitcoin_data.target_to_average_attempts(share.target),
my_count=lambda share: 1 if share.hash in my_share_hashes else 0,
my_doa_count=lambda share: 1 if share.hash in my_doa_share_hashes else 0,
my_orphan_announce_count=lambda share: 1 if share.hash in my_share_hashes and share.share_data['stale_info'] == 253 else 0,
my_dead_announce_count=lambda share: 1 if share.hash in my_share_hashes and share.share_data['stale_info'] == 254 else 0,
)), subset_of=self)
self.get_cumulative_weights = WeightsSkipList(self)
def __init__(self, net, my_share_hashes, my_doa_share_hashes):
forest.Tracker.__init__(self)
self.net = net
self.verified = forest.Tracker(delta_type=forest.get_attributedelta_type(dict(forest.AttributeDelta.attrs,
my_count=lambda share: 1 if share.hash in my_share_hashes else 0,
my_doa_count=lambda share: 1 if share.hash in my_doa_share_hashes else 0,
my_orphan_announce_count=lambda share: 1 if share.hash in my_share_hashes and share.share_data['stale_info'] == 253 else 0,
my_dead_announce_count=lambda share: 1 if share.hash in my_share_hashes and share.share_data['stale_info'] == 254 else 0,
)))
self.verified.get_nth_parent_hash = self.get_nth_parent_hash # self is a superset of self.verified
self.get_cumulative_weights = skiplists.WeightsSkipList(self)
