faster get_future_activated
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05b6bdb8f6
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2 changed files with 11 additions and 9 deletions
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@ -895,16 +895,16 @@ class BlockProcessor:
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# upon the delayed activation of B, we need to detect to activate C and make it take over early instead
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# upon the delayed activation of B, we need to detect to activate C and make it take over early instead
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claim_exists = {}
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claim_exists = {}
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for activated, activated_txos in self.db.get_future_activated(height).items():
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for activated, activated_claim_txo in self.db.get_future_activated(height):
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# uses the pending effective amount for the future activation height, not the current height
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# uses the pending effective amount for the future activation height, not the current height
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future_amount = self._get_pending_claim_amount(
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future_amount = self._get_pending_claim_amount(
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activated.name, activated.claim_hash, activated_txos[-1].height + 1
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activated.name, activated.claim_hash, activated_claim_txo.height + 1
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)
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)
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if activated.claim_hash not in claim_exists:
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if activated.claim_hash not in claim_exists:
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claim_exists[activated.claim_hash] = activated.claim_hash in self.claim_hash_to_txo or (
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claim_exists[activated.claim_hash] = activated.claim_hash in self.claim_hash_to_txo or (
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self.db.get_claim_txo(activated.claim_hash) is not None)
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self.db.get_claim_txo(activated.claim_hash) is not None)
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if claim_exists[activated.claim_hash] and activated.claim_hash not in self.abandoned_claims:
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if claim_exists[activated.claim_hash] and activated.claim_hash not in self.abandoned_claims:
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v = future_amount, activated, activated_txos[-1]
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v = future_amount, activated, activated_claim_txo
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future_activations[activated.name][activated.claim_hash] = v
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future_activations[activated.name][activated.claim_hash] = v
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for name, future_activated in activate_in_future.items():
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for name, future_activated in activate_in_future.items():
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@ -652,15 +652,17 @@ class LevelDB:
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activated[v].append(k)
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activated[v].append(k)
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return activated
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return activated
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def get_future_activated(self, height: int) -> DefaultDict[PendingActivationValue, List[PendingActivationKey]]:
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def get_future_activated(self, height: int) -> typing.Generator[
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activated = defaultdict(list)
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Tuple[PendingActivationValue, PendingActivationKey], None, None]:
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yielded = set()
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start_prefix = Prefixes.pending_activation.pack_partial_key(height + 1)
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start_prefix = Prefixes.pending_activation.pack_partial_key(height + 1)
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stop_prefix = Prefixes.pending_activation.pack_partial_key(height + 1 + self.coin.maxTakeoverDelay)
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stop_prefix = Prefixes.pending_activation.pack_partial_key(height + 1 + self.coin.maxTakeoverDelay)
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for _k, _v in self.db.iterator(start=start_prefix, stop=stop_prefix):
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for _k, _v in self.db.iterator(start=start_prefix, stop=stop_prefix, reverse=True):
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k = Prefixes.pending_activation.unpack_key(_k)
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v = Prefixes.pending_activation.unpack_value(_v)
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v = Prefixes.pending_activation.unpack_value(_v)
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activated[v].append(k)
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if v not in yielded:
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return activated
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yielded.add(v)
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k = Prefixes.pending_activation.unpack_key(_k)
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yield v, k
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async def _read_tx_counts(self):
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async def _read_tx_counts(self):
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if self.tx_counts is not None:
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if self.tx_counts is not None:
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