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Cosmetic improvement to reward/penalty functions

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vbuterin 2019-03-21 16:29:14 -05:00 committed by GitHub
parent 5fef8ea339
commit 3b403909e8
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1 changed files with 8 additions and 12 deletions
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20
specs/core/0_beacon-chain.md
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@ -1995,12 +1995,8 @@ def compute_inactivity_leak_deltas(state: BeaconState) -> Tuple[List[Gwei], List
```python
def get_crosslink_deltas(state: BeaconState) -> Tuple[List[Gwei], List[Gwei]]:
# deltas[0] for rewards
# deltas[1] for penalties
deltas = [
[0 for index in range(len(state.validator_registry))],
[0 for index in range(len(state.validator_registry))]
]
rewards = [0 for index in range(len(state.validator_registry))]
penalties = [0 for index in range(len(state.validator_registry))]
previous_epoch_start_slot = get_epoch_start_slot(get_previous_epoch(state))
current_epoch_start_slot = get_epoch_start_slot(get_current_epoch(state))
for slot in range(previous_epoch_start_slot, current_epoch_start_slot):
@ -2010,10 +2006,10 @@ def get_crosslink_deltas(state: BeaconState) -> Tuple[List[Gwei], List[Gwei]]:
total_balance = get_total_balance(state, crosslink_committee)
for index in crosslink_committee:
if index in participants:
deltas[0][index] += get_base_reward(state, index) * participating_balance // total_balance
rewards[index] += get_base_reward(state, index) * participating_balance // total_balance
else:
deltas[1][index] += get_base_reward(state, index)
return deltas
penalties[index] += get_base_reward(state, index)
return [rewards, penalties]
```
#### Apply rewards
@ -2022,12 +2018,12 @@ Run the following:
```python
def apply_rewards(state: BeaconState) -> None:
deltas1 = get_justification_and_finalization_deltas(state)
deltas2 = get_crosslink_deltas(state)
rewards1, penalties1 = get_justification_and_finalization_deltas(state)
rewards2, penalties2 = get_crosslink_deltas(state)
for i in range(len(state.validator_registry)):
state.validator_balances[i] = max(
0,
state.validator_balances[i] + deltas1[0][i] + deltas2[0][i] - deltas1[1][i] - deltas2[1][i]
state.validator_balances[i] + rewards1[i] + rewards2[i] - penalties1[i] - penalties2[i]
)
```