def _aggregate_miner_data(raw_data):
data_by_miner = groupby(0, raw_data)
for miner, miner_data in data_by_miner.items():
_, block_hashes, gas_prices = map(set, zip(*miner_data))
try:
price_percentile = percentile(gas_prices, percentile=20)
except InsufficientData:
price_percentile = min(gas_prices)
yield MinerData(miner, len(set(block_hashes)), min(gas_prices),
price_percentile)
def _aggregate_miner_data(
raw_data: Iterable[Tuple[ChecksumAddress, Hash32, Wei]]
) -> Iterable[MinerData]:
data_by_miner = groupby(0, raw_data)
for miner, miner_data in data_by_miner.items():
_, block_hashes, gas_prices = map(set, zip(*miner_data))
try:
price_percentile = percentile(gas_prices, percentile=20)
except InsufficientData:
price_percentile = min(gas_prices)
yield MinerData(miner, len(set(block_hashes)), min(gas_prices),
price_percentile)
def _aggregate_miner_data(
raw_data: Iterable[Tuple[ChecksumAddress, HexBytes, Wei]]
) -> Iterable[MinerData]:
data_by_miner = groupby(0, raw_data)
for miner, miner_data in data_by_miner.items():
_, block_hashes, gas_prices = map(set, zip(*miner_data))
try:
# types ignored b/c mypy has trouble inferring gas_prices: Sequence[Wei]
price_percentile = percentile(gas_prices,
percentile=20) # type: ignore
except InsufficientData:
price_percentile = min(gas_prices) # type: ignore
yield MinerData(miner, len(set(block_hashes)), min(gas_prices),
price_percentile)
def test_fuzz_test_percentiles(values, p):
if not values:
with pytest.raises(ValueError):
percentile(values, p)
else:
percentile(values, p)
def test_percentiles_with_out_of_bounds_fractions():
assert 1 == percentile([1, 2, 3, 4], percentile=10)
assert 1 == percentile([1, 2, 3, 4], percentile=15)
assert 1 == percentile([1, 2, 3, 4], percentile=20)
assert 1 == percentile([1, 2, 3, 4], percentile=25)
assert 1 < percentile([1, 2, 3, 4], percentile=30)
def test_percentiles_with_no_values():
with pytest.raises(InsufficientData):
percentile([], 1)
def test_percentiles_out_of_one_hundred(p, expected):
assert percentile(values, p) == expected