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chia-blockchain/tests/core/consensus/test_pot_iterations.py
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Python

from pytest import raises
from chia.consensus.default_constants import DEFAULT_CONSTANTS
from chia.consensus.pos_quality import _expected_plot_size
from chia.consensus.pot_iterations import (
calculate_ip_iters,
calculate_iterations_quality,
calculate_sp_iters,
is_overflow_block,
)
from chia.util.hash import std_hash
from chia.util.ints import uint8, uint64
test_constants = DEFAULT_CONSTANTS.replace(**{"NUM_SPS_SUB_SLOT": 32, "SUB_SLOT_TIME_TARGET": 300})
class TestPotIterations:
def test_is_overflow_block(self):
assert not is_overflow_block(test_constants, uint8(27))
assert not is_overflow_block(test_constants, uint8(28))
assert is_overflow_block(test_constants, uint8(29))
assert is_overflow_block(test_constants, uint8(30))
assert is_overflow_block(test_constants, uint8(31))
with raises(ValueError):
assert is_overflow_block(test_constants, uint8(32))
def test_calculate_sp_iters(self):
ssi: uint64 = uint64(100001 * 64 * 4)
with raises(ValueError):
calculate_sp_iters(test_constants, ssi, uint8(32))
calculate_sp_iters(test_constants, ssi, uint8(31))
def test_calculate_ip_iters(self):
ssi: uint64 = uint64(100001 * 64 * 4)
sp_interval_iters = ssi // test_constants.NUM_SPS_SUB_SLOT
with raises(ValueError):
# Invalid signage point index
calculate_ip_iters(test_constants, ssi, uint8(123), uint64(100000))
sp_iters = sp_interval_iters * 13
with raises(ValueError):
# required_iters too high
calculate_ip_iters(test_constants, ssi, sp_interval_iters, sp_interval_iters)
with raises(ValueError):
# required_iters too high
calculate_ip_iters(test_constants, ssi, sp_interval_iters, sp_interval_iters * 12)
with raises(ValueError):
# required_iters too low (0)
calculate_ip_iters(test_constants, ssi, sp_interval_iters, uint64(0))
required_iters = sp_interval_iters - 1
ip_iters = calculate_ip_iters(test_constants, ssi, uint8(13), required_iters)
assert ip_iters == sp_iters + test_constants.NUM_SP_INTERVALS_EXTRA * sp_interval_iters + required_iters
required_iters = uint64(1)
ip_iters = calculate_ip_iters(test_constants, ssi, uint8(13), required_iters)
assert ip_iters == sp_iters + test_constants.NUM_SP_INTERVALS_EXTRA * sp_interval_iters + required_iters
required_iters = uint64(int(ssi * 4 / 300))
ip_iters = calculate_ip_iters(test_constants, ssi, uint8(13), required_iters)
assert ip_iters == sp_iters + test_constants.NUM_SP_INTERVALS_EXTRA * sp_interval_iters + required_iters
assert sp_iters < ip_iters
# Overflow
sp_iters = sp_interval_iters * (test_constants.NUM_SPS_SUB_SLOT - 1)
ip_iters = calculate_ip_iters(
test_constants,
ssi,
uint8(test_constants.NUM_SPS_SUB_SLOT - 1),
required_iters,
)
assert ip_iters == (sp_iters + test_constants.NUM_SP_INTERVALS_EXTRA * sp_interval_iters + required_iters) % ssi
assert sp_iters > ip_iters
def test_win_percentage(self):
"""
Tests that the percentage of blocks won is proportional to the space of each farmer,
with the assumption that all farmers have access to the same VDF speed.
"""
farmer_ks = {
uint8(32): 100,
uint8(33): 100,
uint8(34): 100,
uint8(35): 100,
uint8(36): 100,
}
farmer_space = {k: _expected_plot_size(uint8(k)) * count for k, count in farmer_ks.items()}
total_space = sum(farmer_space.values())
percentage_space = {k: float(sp / total_space) for k, sp in farmer_space.items()}
wins = {k: 0 for k in farmer_ks.keys()}
total_slots = 50
num_sps = 16
sp_interval_iters = uint64(100000000 // 32)
difficulty = uint64(500000000000)
for slot_index in range(total_slots):
total_wins_in_slot = 0
for sp_index in range(num_sps):
sp_hash = std_hash(slot_index.to_bytes(4, "big") + sp_index.to_bytes(4, "big"))
for k, count in farmer_ks.items():
for farmer_index in range(count):
quality = std_hash(slot_index.to_bytes(4, "big") + k.to_bytes(1, "big") + bytes(farmer_index))
required_iters = calculate_iterations_quality(2 ** 25, quality, k, difficulty, sp_hash)
if required_iters < sp_interval_iters:
wins[k] += 1
total_wins_in_slot += 1
win_percentage = {k: wins[k] / sum(wins.values()) for k in farmer_ks.keys()}
for k in farmer_ks.keys():
# Win rate is proportional to percentage of space
assert abs(win_percentage[k] - percentage_space[k]) < 0.01