return math.add_dicts(*math.flatten_linked_list(weights_list)), total_weight, total_donation_weight
class OkayTracker(forest.Tracker):
- def __init__(self, net, my_share_hashes, my_doa_share_hashes):
+ 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),
- 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)