mirror of
https://github.com/logos-co/nomos-specs.git
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d2f6ad579a
* cryptarchia/relative-stake: failing test showing lack of inference * implement stake-relativization spec * test total stake inference in empty epoch * move TestNode to test_common * fix bug in Follower re-org logic * improve orphan proof test coverage * force orphans to already have been in one of the existing branches * rename initial_inferred_total_stake ==> initial_total_stake * add simple orphan import test * Follower.unimported_orphans: ensure no orphans from same branch * remove unnecessary LedgerState.slot * cryptarchia: doc fixes * factor out total stake inference * docs for total stake inference * rename total_stake to total_active_stake * replace prints in cryptarchia with logging.logger
53 lines
1.5 KiB
Python
53 lines
1.5 KiB
Python
from unittest import TestCase
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import numpy as np
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from .cryptarchia import (
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Leader,
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Config,
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EpochState,
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LedgerState,
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Coin,
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phi,
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TimeConfig,
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Slot,
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)
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from .test_common import mk_config
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class TestLeader(TestCase):
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def test_slot_leader_statistics(self):
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epoch = EpochState(
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stake_distribution_snapshot=LedgerState(),
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nonce_snapshot=LedgerState(nonce=b"1010101010"),
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inferred_total_active_stake=1000,
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)
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coin = Coin(sk=0, value=10)
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f = 0.05
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l = Leader(
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config=mk_config([coin]).replace(active_slot_coeff=f),
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coin=coin,
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)
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# We'll use the Margin of Error equation to decide how many samples we need.
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# https://en.wikipedia.org/wiki/Margin_of_error
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margin_of_error = 1e-4
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p = phi(f=f, alpha=10 / epoch.total_active_stake())
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std = np.sqrt(p * (1 - p))
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Z = 3 # we want 3 std from the mean to be within the margin of error
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N = int((Z * std / margin_of_error) ** 2)
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# After N slots, the measured leader rate should be within the
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# interval `p +- margin_of_error` with high probabiltiy
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leader_rate = (
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sum(
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l.try_prove_slot_leader(epoch, Slot(slot), bytes(32)) is not None
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for slot in range(N)
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)
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/ N
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)
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assert (
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abs(leader_rate - p) < margin_of_error
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), f"{leader_rate} != {p}, err={abs(leader_rate - p)} > {margin_of_error}"
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