Merge pull request #7069 from bitromortac/2102-mpp-split-params
mpp_split: optimize split parameters
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@@ -12,9 +12,9 @@ REDISTRIBUTION_FRACTION = 10
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SPLIT_FRACTION = 10
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SPLIT_FRACTION = 10
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# these parameters affect the computational work in the probabilistic algorithm
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# these parameters affect the computational work in the probabilistic algorithm
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STARTING_CONFIGS = 30
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STARTING_CONFIGS = 50
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CANDIDATES_PER_LEVEL = 20
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CANDIDATES_PER_LEVEL = 10
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REDISTRIBUTE = 5
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REDISTRIBUTE = 10
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def unique_hierarchy(hierarchy: Dict[int, List[Dict[bytes, int]]]) -> Dict[int, List[Dict[bytes, int]]]:
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def unique_hierarchy(hierarchy: Dict[int, List[Dict[bytes, int]]]) -> Dict[int, List[Dict[bytes, int]]]:
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@@ -13,8 +13,6 @@ class TestMppSplit(ElectrumTestCase):
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super().setUp()
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super().setUp()
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# to make tests reproducible:
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# to make tests reproducible:
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random.seed(0)
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random.seed(0)
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# undo side effect
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mpp_split.PART_PENALTY = PART_PENALTY
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self.channels_with_funds = {
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self.channels_with_funds = {
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0: 1_000_000_000,
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0: 1_000_000_000,
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1: 500_000_000,
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1: 500_000_000,
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@@ -22,6 +20,11 @@ class TestMppSplit(ElectrumTestCase):
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3: 101_000_000,
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3: 101_000_000,
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}
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}
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def tearDown(self):
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super().tearDown()
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# undo side effect
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mpp_split.PART_PENALTY = PART_PENALTY
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def test_suggest_splits(self):
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def test_suggest_splits(self):
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with self.subTest(msg="do a payment with the maximal amount spendable over a single channel"):
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with self.subTest(msg="do a payment with the maximal amount spendable over a single channel"):
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splits = mpp_split.suggest_splits(1_000_000_000, self.channels_with_funds, exclude_single_parts=True)
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splits = mpp_split.suggest_splits(1_000_000_000, self.channels_with_funds, exclude_single_parts=True)
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