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epoch.rs
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#![allow(
clippy::arithmetic_side_effects,
clippy::indexing_slicing,
clippy::unwrap_used
)]
use super::mock::*;
use crate::epoch::math::safe_exp;
use crate::*;
use frame_support::{assert_err, assert_ok};
use frame_system::Config;
use rand::{distributions::Uniform, rngs::StdRng, seq::SliceRandom, thread_rng, Rng, SeedableRng};
use sp_core::U256;
use sp_runtime::DispatchError;
use std::time::Instant;
use substrate_fixed::types::I32F32;
// Normalizes (sum to 1 except 0) the input vector directly in-place.
#[allow(dead_code)]
pub fn inplace_normalize(x: &mut [I32F32]) {
let x_sum: I32F32 = x.iter().sum();
if x_sum == I32F32::from_num(0.0_f32) {
return;
}
for i in x.iter_mut() {
*i /= x_sum;
}
}
// Inplace normalize the passed positive integer weights so that they sum to u16 max value.
fn normalize_weights(mut weights: Vec<u16>) -> Vec<u16> {
let sum: u64 = weights.iter().map(|x| *x as u64).sum();
if sum == 0 {
return weights;
}
weights.iter_mut().for_each(|x| {
*x = (*x as u64 * u16::MAX as u64 / sum) as u16;
});
weights
}
// // Return as usize an I32F32 ratio of a usize input, avoiding the 0% and 100% extremes.
// fn non_extreme_fixed_ratio(ratio: I32F32, total: usize) -> usize {
// if total == 0 {
// return total;
// }
// let mut subset: usize = (ratio * I32F32::from_num(total)).to_num::<usize>();
// if subset == 0 {
// subset = 1;
// } else if subset == total {
// subset = total - 1;
// }
// return subset;
// }
// // Box-Muller Transform converting two uniform random samples to a normal random sample.
// fn normal(size: usize, rng: &mut StdRng, dist: &Uniform<u16>) -> Vec<I32F32> {
// let max: I32F32 = I32F32::from_num(u16::MAX);
// let two: I32F32 = I32F32::from_num(2);
// let eps: I32F32 = I32F32::from_num(0.000001);
// let pi: I32F32 = I32F32::from_num(PI);
// let uniform_u16: Vec<u16> = (0..(2 * size)).map(|_| rng.sample(&dist)).collect();
// let uniform: Vec<I32F32> = uniform_u16
// .iter()
// .map(|&x| I32F32::from_num(x) / max)
// .collect();
// let mut normal: Vec<I32F32> = vec![I32F32::from_num(0); size as usize];
// for i in 0..size {
// let u1: I32F32 = uniform[i] + eps;
// let u2: I32F32 = uniform[i + size] + eps;
// normal[i] = sqrt::<I32F32, I32F32>(-two * ln::<I32F32, I32F32>(u1).expect("")).expect("")
// * cos(two * pi * u2);
// }
// normal
// }
// Returns validators and servers uids with either blockwise, regular, or random interleaving.
fn distribute_nodes(
validators_n: usize,
network_n: usize,
interleave: usize,
) -> (Vec<u16>, Vec<u16>) {
let mut validators: Vec<u16> = vec![];
let mut servers: Vec<u16> = vec![];
if interleave == 0 {
// blockwise [validator_block, server_block]
validators = (0..validators_n as u16).collect();
servers = (validators_n as u16..network_n as u16).collect();
} else if interleave == 1 {
// regular interleaving [val, srv, srv, ..., srv, val, srv, srv, ..., srv, val, srv, ..., srv]
(validators, servers) = (0..network_n as u16)
.collect::<Vec<u16>>()
.iter()
.partition(|&i| *i as usize % (network_n / validators_n) == 0);
} else if interleave == 2 {
// random interleaving
let mut permuted_uids: Vec<u16> = (0..network_n as u16).collect();
permuted_uids.shuffle(&mut thread_rng());
validators = permuted_uids[0..validators_n].into();
servers = permuted_uids[validators_n..network_n].into();
}
(validators, servers)
}
#[allow(dead_code)]
fn uid_stats(netuid: u16, uid: u16) {
log::info!(
"stake: {:?}",
SubtensorModule::get_total_stake_for_hotkey(&(U256::from(uid)))
);
log::info!("rank: {:?}", SubtensorModule::get_rank_for_uid(netuid, uid));
log::info!(
"trust: {:?}",
SubtensorModule::get_trust_for_uid(netuid, uid)
);
log::info!(
"consensus: {:?}",
SubtensorModule::get_consensus_for_uid(netuid, uid)
);
log::info!(
"incentive: {:?}",
SubtensorModule::get_incentive_for_uid(netuid, uid)
);
log::info!(
"dividend: {:?}",
SubtensorModule::get_dividends_for_uid(netuid, uid)
);
log::info!(
"emission: {:?}",
SubtensorModule::get_emission_for_uid(netuid, uid)
);
}
#[allow(clippy::too_many_arguments)]
fn init_run_epochs(
netuid: u16,
n: u16,
validators: &[u16],
servers: &[u16],
epochs: u16,
stake_per_validator: u64,
server_self: bool,
input_stake: &[u64],
use_input_stake: bool,
input_weights: &[Vec<(u16, u16)>],
use_input_weights: bool,
random_weights: bool,
random_seed: u64,
sparse: bool,
) {
// === Create the network
add_network(netuid, u16::MAX - 1, 0); // set higher tempo to avoid built-in epoch, then manual epoch instead
// === Register uids
SubtensorModule::set_max_allowed_uids(netuid, n);
for key in 0..n {
let stake = if use_input_stake {
input_stake[key as usize]
} else if validators.contains(&key) {
stake_per_validator
} else {
// only validators receive stake
0
};
// let stake: u64 = 1; // alternative test: all nodes receive stake, should be same outcome, except stake
SubtensorModule::add_balance_to_coldkey_account(&(U256::from(key)), stake);
SubtensorModule::append_neuron(netuid, &(U256::from(key)), 0);
SubtensorModule::increase_stake_on_coldkey_hotkey_account(
&U256::from(key),
&U256::from(key),
stake,
);
}
assert_eq!(SubtensorModule::get_subnetwork_n(netuid), n);
// === Issue validator permits
SubtensorModule::set_max_allowed_validators(netuid, validators.len() as u16);
assert_eq!(
SubtensorModule::get_max_allowed_validators(netuid),
validators.len() as u16
);
SubtensorModule::epoch(netuid, 1_000_000_000); // run first epoch to set allowed validators
run_to_block(1); // run to next block to ensure weights are set on nodes after their registration block
// === Set weights
let mut rng = StdRng::seed_from_u64(random_seed); // constant seed so weights over multiple runs are equal
let range = Uniform::new(0, u16::MAX);
let mut weights: Vec<u16> = vec![u16::MAX / n; servers.len()];
for uid in validators {
if random_weights {
weights = (0..servers.len()).map(|_| rng.sample(range)).collect();
weights = normalize_weights(weights);
// assert_eq!(weights.iter().map(|x| *x as u64).sum::<u64>(), u16::MAX as u64); // normalized weight sum not always u16::MAX
}
if use_input_weights {
let sparse_weights = input_weights[*uid as usize].clone();
weights = sparse_weights.iter().map(|(_, w)| *w).collect();
let srvs: Vec<u16> = sparse_weights.iter().map(|(s, _)| *s).collect();
assert_ok!(SubtensorModule::set_weights(
RuntimeOrigin::signed(U256::from(*uid as u64)),
netuid,
srvs,
weights.clone(),
0
));
} else {
assert_ok!(SubtensorModule::set_weights(
RuntimeOrigin::signed(U256::from(*uid as u64)),
netuid,
servers.to_vec(),
weights.clone(),
0
));
}
}
if server_self {
for uid in servers {
assert_ok!(SubtensorModule::set_weights(
RuntimeOrigin::signed(U256::from(*uid as u64)),
netuid,
vec![*uid],
vec![u16::MAX],
0
)); // server self-weight
}
}
// === Run the epochs.
log::info!("Start {epochs} epoch(s)");
let start = Instant::now();
for _ in 0..epochs {
if sparse {
SubtensorModule::epoch(netuid, 1_000_000_000);
} else {
SubtensorModule::epoch_dense(netuid, 1_000_000_000);
}
}
let duration = start.elapsed();
log::info!(
"Time elapsed in (sparse={sparse}) epoch() is: {:?}",
duration
);
// let bonds = SubtensorModule::get_bonds( netuid );
// for (uid, node) in vec![ (validators[0], "validator"), (servers[0], "server") ] {
// log::info!("\n{node}" );
// uid_stats(netuid, uid);
// log::info!("bonds: {:?} (on validator), {:?} (on server)", bonds[uid as usize][0], bonds[uid as usize][servers[0] as usize]);
// }
}
// // Generate a random graph that is split into a major and minor set, each setting specific weight on itself and the complement on the other.
// fn split_graph(
// major_stake: I32F32,
// major_weight: I32F32,
// minor_weight: I32F32,
// weight_stddev: I32F32,
// validators_n: usize,
// network_n: usize,
// interleave: usize,
// ) -> (
// Vec<u16>,
// Vec<u16>,
// Vec<u16>,
// Vec<u16>,
// Vec<u16>,
// Vec<u16>,
// Vec<u64>,
// Vec<Vec<(u16, u16)>>,
// I32F32,
// ) {
// let servers_n: usize = network_n - validators_n;
// let major_servers_n: usize = non_extreme_fixed_ratio(major_stake, servers_n);
// let major_validators_n: usize = non_extreme_fixed_ratio(major_stake, validators_n);
// let (validators, servers) = distribute_nodes(validators_n, network_n, interleave as usize);
// let major_validators: Vec<u16> = (0..major_validators_n).map(|i| validators[i]).collect();
// let minor_validators: Vec<u16> = (major_validators_n..validators_n)
// .map(|i| validators[i])
// .collect();
// let major_servers: Vec<u16> = (0..major_servers_n).map(|i| servers[i]).collect();
// let minor_servers: Vec<u16> = (major_servers_n..servers_n).map(|i| servers[i]).collect();
// let zero: I32F32 = I32F32::from_num(0);
// let one: I32F32 = I32F32::from_num(1);
// let stddev: I32F32 = I32F32::from_num(0.3);
// let total_stake: I64F64 = I64F64::from_num(21_000_000_000_000_000 as u64);
// let mut rng = StdRng::seed_from_u64(0); // constant seed so weights over multiple runs are equal
// let dist = Uniform::new(0, u16::MAX);
// let mut stake: Vec<u64> = vec![0; network_n];
// let mut stake_fixed: Vec<I32F32> = vec![zero; network_n];
// for (ratio, vals) in vec![
// (major_stake, &major_validators),
// (one - major_stake, &minor_validators),
// ] {
// let mut sample = normal(vals.len(), &mut rng, &dist)
// .iter()
// .map(|x: &I32F32| {
// let v: I32F32 = (stddev * x) + one;
// if v < zero {
// zero
// } else {
// v
// }
// })
// .collect();
// inplace_normalize(&mut sample);
// for (i, &val) in vals.iter().enumerate() {
// stake[val as usize] =
// (I64F64::from_num(ratio) * I64F64::from_num(sample[i]) * total_stake)
// .to_num::<u64>();
// stake_fixed[val as usize] =
// I32F32::from_num(I64F64::from_num(ratio) * I64F64::from_num(sample[i]));
// }
// }
// let mut weights: Vec<Vec<(u16, u16)>> = vec![vec![]; network_n as usize];
// let mut weights_fixed: Vec<Vec<I32F32>> = vec![vec![zero; network_n]; network_n];
// for (first, second, vals) in vec![
// (major_weight, one - major_weight, &major_validators),
// (one - minor_weight, minor_weight, &minor_validators),
// ] {
// for &val in vals {
// for (weight, srvs) in vec![(first, &major_servers), (second, &minor_servers)] {
// let mut sample: Vec<I32F32> = normal(srvs.len(), &mut rng, &dist)
// .iter()
// .map(|x: &I32F32| {
// let v: I32F32 = (weight_stddev * x) + one;
// if v < zero {
// zero
// } else {
// v
// }
// })
// .collect();
// inplace_normalize(&mut sample);
// for (i, &srv) in srvs.iter().enumerate() {
// weights[val as usize].push((srv, fixed_proportion_to_u16(weight * sample[i])));
// weights_fixed[val as usize][srv as usize] = weight * sample[i];
// }
// }
// inplace_normalize(&mut weights_fixed[val as usize]);
// }
// }
// inplace_normalize(&mut stake_fixed);
// // Calculate stake-weighted mean per server
// let mut weight_mean: Vec<I32F32> = vec![zero; network_n];
// for val in 0..network_n {
// if stake_fixed[val] > zero {
// for srv in 0..network_n {
// weight_mean[srv] += stake_fixed[val] * weights_fixed[val][srv];
// }
// }
// }
// // Calculate stake-weighted absolute standard deviation
// let mut weight_dev: Vec<I32F32> = vec![zero; network_n];
// for val in 0..network_n {
// if stake_fixed[val] > zero {
// for srv in 0..network_n {
// weight_dev[srv] +=
// stake_fixed[val] * (weight_mean[srv] - weights_fixed[val][srv]).abs();
// }
// }
// }
// // Calculate rank-weighted mean of weight_dev
// let avg_weight_dev: I32F32 =
// weight_dev.iter().sum::<I32F32>() / weight_mean.iter().sum::<I32F32>();
// (
// validators,
// servers,
// major_validators,
// minor_validators,
// major_servers,
// minor_servers,
// stake,
// weights,
// avg_weight_dev,
// )
// }
// Test consensus guarantees with an epoch on a graph with 4096 nodes, of which the first 128 are validators, the graph is split into a major and minor set, each setting specific weight on itself and the complement on the other. Asserts that the major emission ratio >= major stake ratio.
// #[test]
// fn test_consensus_guarantees() {
// let netuid: u16 = 0;
// let network_n: u16 = 512;
// let validators_n: u16 = 64;
// let epochs: u16 = 1;
// let interleave = 2;
// log::info!("test_consensus_guarantees ({network_n:?}, {validators_n:?} validators)");
// for (major_stake, major_weight, minor_weight, weight_stddev) in vec![
// (0.51, 1., 1., 0.001),
// (0.51, 0.03, 0., 0.001),
// (0.51, 0.51, 0.49, 0.001),
// (0.51, 0.51, 1., 0.001),
// (0.51, 0.61, 0.8, 0.1),
// (0.6, 0.67, 0.65, 0.2),
// (0.6, 0.74, 0.77, 0.4),
// (0.6, 0.76, 0.8, 0.4),
// (0.6, 0.76, 1., 0.4),
// (0.6, 0.92, 1., 0.4),
// (0.6, 0.94, 1., 0.4),
// (0.65, 0.78, 0.85, 0.6),
// (0.7, 0.81, 0.85, 0.8),
// (0.7, 0.83, 0.85, 1.),
// ] {
// let (
// validators,
// servers,
// major_validators,
// minor_validators,
// major_servers,
// minor_servers,
// stake,
// weights,
// _avg_weight_dev,
// ) = split_graph(
// fixed(major_stake),
// fixed(major_weight),
// fixed(minor_weight),
// fixed(weight_stddev),
// validators_n as usize,
// network_n as usize,
// interleave as usize,
// );
// new_test_ext(1).execute_with(|| {
// init_run_epochs(
// netuid,
// network_n,
// &validators,
// &servers,
// epochs,
// 1,
// true,
// &stake,
// true,
// &weights,
// true,
// false,
// 0,
// false,
// );
// let mut major_emission: I64F64 = I64F64::from_num(0);
// let mut minor_emission: I64F64 = I64F64::from_num(0);
// for set in vec![major_validators, major_servers] {
// for uid in set {
// major_emission +=
// I64F64::from_num(SubtensorModule::get_emission_for_uid(netuid, uid));
// }
// }
// for set in vec![minor_validators, minor_servers] {
// for uid in set {
// minor_emission +=
// I64F64::from_num(SubtensorModule::get_emission_for_uid(netuid, uid));
// }
// }
// let major_ratio: I32F32 =
// I32F32::from_num(major_emission / (major_emission + minor_emission));
// assert!(major_stake <= major_ratio);
// });
// }
// }
// Test an epoch on an empty graph.
// #[test]
// fn test_overflow() {
// new_test_ext(1).execute_with(|| {
// log::info!("test_overflow:");
// let netuid: u16 = 1;
// add_network(netuid, 0, 0);
// SubtensorModule::set_max_allowed_uids(netuid, 3);
// SubtensorModule::increase_stake_on_coldkey_hotkey_account(
// &U256::from(0),
// &U256::from(0),
// 10,
// );
// SubtensorModule::increase_stake_on_coldkey_hotkey_account(
// &U256::from(1),
// &U256::from(1),
// 10,
// );
// SubtensorModule::increase_stake_on_coldkey_hotkey_account(
// &U256::from(2),
// &U256::from(2),
// 10,
// );
// SubtensorModule::append_neuron(netuid, &U256::from(0), 0);
// SubtensorModule::append_neuron(netuid, &U256::from(1), 0);
// SubtensorModule::append_neuron(netuid, &U256::from(2), 0);
// SubtensorModule::set_validator_permit_for_uid(0, 0, true);
// SubtensorModule::set_validator_permit_for_uid(0, 1, true);
// SubtensorModule::set_validator_permit_for_uid(0, 2, true);
// assert_ok!(SubtensorModule::set_weights(
// RuntimeOrigin::signed(U256::from(0)),
// netuid,
// vec![0, 1, 2],
// vec![u16::MAX / 3, u16::MAX / 3, u16::MAX],
// 0
// ));
// assert_ok!(SubtensorModule::set_weights(
// RuntimeOrigin::signed(U256::from(1)),
// netuid,
// vec![1, 2],
// vec![u16::MAX / 2, u16::MAX / 2],
// 0
// ));
// assert_ok!(SubtensorModule::set_weights(
// RuntimeOrigin::signed(U256::from(2)),
// netuid,
// vec![2],
// vec![u16::MAX],
// 0
// ));
// SubtensorModule::epoch(0, u64::MAX);
// });
// }
// Test an epoch on an empty graph.
// #[test]
// fn test_nill_epoch_subtensor() {
// new_test_ext(1).execute_with(|| {
// log::info!("test_nill_epoch:");
// SubtensorModule::epoch(0, 0);
// });
// }
// Test an epoch on a graph with a single item.
#[test]
fn test_1_graph() {
new_test_ext(1).execute_with(|| {
log::info!("test_1_graph:");
let netuid: u16 = 1;
let coldkey = U256::from(0);
let hotkey = U256::from(0);
let uid: u16 = 0;
let stake_amount: u64 = 1;
add_network(netuid, u16::MAX - 1, 0); // set higher tempo to avoid built-in epoch, then manual epoch instead
SubtensorModule::set_max_allowed_uids(netuid, 1);
SubtensorModule::add_balance_to_coldkey_account(&coldkey, stake_amount);
SubtensorModule::increase_stake_on_coldkey_hotkey_account(&coldkey, &hotkey, stake_amount);
SubtensorModule::append_neuron(netuid, &hotkey, 0);
assert_eq!(SubtensorModule::get_subnetwork_n(netuid), 1);
run_to_block(1); // run to next block to ensure weights are set on nodes after their registration block
assert_ok!(SubtensorModule::set_weights(
RuntimeOrigin::signed(U256::from(uid)),
netuid,
vec![uid],
vec![u16::MAX],
0
));
// SubtensorModule::set_weights_for_testing( netuid, i as u16, vec![ ( 0, u16::MAX )]); // doesn't set update status
// SubtensorModule::set_bonds_for_testing( netuid, uid, vec![ ( 0, u16::MAX )]); // rather, bonds are calculated in epoch
SubtensorModule::set_emission_values(&[netuid], vec![1_000_000_000]).unwrap();
assert_eq!(
SubtensorModule::get_subnet_emission_value(netuid),
1_000_000_000
);
SubtensorModule::epoch(netuid, 1_000_000_000);
assert_eq!(
SubtensorModule::get_total_stake_for_hotkey(&hotkey),
stake_amount
);
assert_eq!(SubtensorModule::get_rank_for_uid(netuid, uid), 0);
assert_eq!(SubtensorModule::get_trust_for_uid(netuid, uid), 0);
assert_eq!(SubtensorModule::get_consensus_for_uid(netuid, uid), 0);
assert_eq!(SubtensorModule::get_incentive_for_uid(netuid, uid), 0);
assert_eq!(SubtensorModule::get_dividends_for_uid(netuid, uid), 0);
assert_eq!(
SubtensorModule::get_emission_for_uid(netuid, uid),
1_000_000_000
);
});
}
// Test an epoch on a graph with two items.
#[test]
fn test_10_graph() {
new_test_ext(1).execute_with(|| {
log::info!("test_10_graph");
// Function for adding a nodes to the graph.
pub fn add_node(netuid: u16, coldkey: U256, hotkey: U256, uid: u16, stake_amount: u64) {
log::info!(
"+Add net:{:?} coldkey:{:?} hotkey:{:?} uid:{:?} stake_amount: {:?} subn: {:?}",
netuid,
coldkey,
hotkey,
uid,
stake_amount,
SubtensorModule::get_subnetwork_n(netuid),
);
SubtensorModule::increase_stake_on_coldkey_hotkey_account(
&coldkey,
&hotkey,
stake_amount,
);
SubtensorModule::append_neuron(netuid, &hotkey, 0);
assert_eq!(SubtensorModule::get_subnetwork_n(netuid) - 1, uid);
}
// Build the graph with 10 items
// each with 1 stake and self weights.
let n: usize = 10;
let netuid: u16 = 1;
add_network(netuid, u16::MAX - 1, 0); // set higher tempo to avoid built-in epoch, then manual epoch instead
SubtensorModule::set_max_allowed_uids(netuid, n as u16);
for i in 0..10 {
add_node(netuid, U256::from(i), U256::from(i), i as u16, 1)
}
assert_eq!(SubtensorModule::get_subnetwork_n(netuid), 10);
run_to_block(1); // run to next block to ensure weights are set on nodes after their registration block
for i in 0..10 {
assert_ok!(SubtensorModule::set_weights(
RuntimeOrigin::signed(U256::from(i)),
netuid,
vec![i as u16],
vec![u16::MAX],
0
));
}
// Run the epoch.
SubtensorModule::epoch(netuid, 1_000_000_000);
// Check return values.
for i in 0..n {
assert_eq!(
SubtensorModule::get_total_stake_for_hotkey(&(U256::from(i))),
1
);
assert_eq!(SubtensorModule::get_rank_for_uid(netuid, i as u16), 0);
assert_eq!(SubtensorModule::get_trust_for_uid(netuid, i as u16), 0);
assert_eq!(SubtensorModule::get_consensus_for_uid(netuid, i as u16), 0);
assert_eq!(SubtensorModule::get_incentive_for_uid(netuid, i as u16), 0);
assert_eq!(SubtensorModule::get_dividends_for_uid(netuid, i as u16), 0);
assert_eq!(
SubtensorModule::get_emission_for_uid(netuid, i as u16),
99999999
);
}
});
}
// Test an epoch on a graph with 512 nodes, of which the first 64 are validators setting non-self weights, and the rest servers setting only self-weights.
#[test]
fn test_512_graph() {
let netuid: u16 = 1;
let network_n: u16 = 512;
let validators_n: u16 = 64;
let max_stake_per_validator: u64 = 328_125_000_000_000; // 21_000_000_000_000_000 / 64
let epochs: u16 = 3;
log::info!("test_{network_n:?}_graph ({validators_n:?} validators)");
for interleave in 0..3 {
for server_self in [false, true] {
// server-self weight off/on
let (validators, servers) = distribute_nodes(
validators_n as usize,
network_n as usize,
interleave as usize,
);
let server: usize = servers[0] as usize;
let validator: usize = validators[0] as usize;
new_test_ext(1).execute_with(|| {
init_run_epochs(
netuid,
network_n,
&validators,
&servers,
epochs,
max_stake_per_validator,
server_self,
&[],
false,
&[],
false,
false,
0,
false,
);
let bonds = SubtensorModule::get_bonds(netuid);
for uid in validators {
assert_eq!(
SubtensorModule::get_total_stake_for_hotkey(&(U256::from(uid))),
max_stake_per_validator
);
assert_eq!(SubtensorModule::get_rank_for_uid(netuid, uid), 0);
assert_eq!(SubtensorModule::get_trust_for_uid(netuid, uid), 0);
assert_eq!(SubtensorModule::get_consensus_for_uid(netuid, uid), 0);
assert_eq!(SubtensorModule::get_incentive_for_uid(netuid, uid), 0);
assert_eq!(SubtensorModule::get_dividends_for_uid(netuid, uid), 1023); // Note D = floor(1 / 64 * 65_535) = 1023
assert_eq!(SubtensorModule::get_emission_for_uid(netuid, uid), 7812500); // Note E = 0.5 / 200 * 1_000_000_000 = 7_812_500
assert_eq!(bonds[uid as usize][validator], 0.0);
assert_eq!(bonds[uid as usize][server], I32F32::from_num(65_535));
// Note B_ij = floor(1 / 64 * 65_535) / 65_535 = 1023 / 65_535, then max-upscaled to 65_535
}
for uid in servers {
assert_eq!(
SubtensorModule::get_total_stake_for_hotkey(&(U256::from(uid))),
0
);
assert_eq!(SubtensorModule::get_rank_for_uid(netuid, uid), 146); // Note R = floor(1 / (512 - 64) * 65_535) = 146
assert_eq!(SubtensorModule::get_trust_for_uid(netuid, uid), 65535);
assert_eq!(SubtensorModule::get_consensus_for_uid(netuid, uid), 146); // Note C = floor(1 / (512 - 64) * 65_535) = 146
assert_eq!(SubtensorModule::get_incentive_for_uid(netuid, uid), 146); // Note I = floor(1 / (512 - 64) * 65_535) = 146
assert_eq!(SubtensorModule::get_dividends_for_uid(netuid, uid), 0);
assert_eq!(SubtensorModule::get_emission_for_uid(netuid, uid), 1116071); // Note E = floor(0.5 / (512 - 64) * 1_000_000_000) = 1_116_071
assert_eq!(bonds[uid as usize][validator], 0.0);
assert_eq!(bonds[uid as usize][server], 0.0);
}
});
}
}
}
// Test an epoch on a graph with 4096 nodes, of which the first 256 are validators setting random non-self weights, and the rest servers setting only self-weights.
#[test]
fn test_512_graph_random_weights() {
let netuid: u16 = 1;
let network_n: u16 = 512;
let validators_n: u16 = 64;
let epochs: u16 = 1;
log::info!("test_{network_n:?}_graph_random_weights ({validators_n:?} validators)");
for interleave in 0..3 {
for server_self in [false, true] {
// server-self weight off/on
let (validators, servers) = distribute_nodes(
validators_n as usize,
network_n as usize,
interleave as usize,
);
let server: usize = servers[0] as usize;
let validator: usize = validators[0] as usize;
#[allow(clippy::type_complexity)]
let (mut rank, mut incentive, mut dividend, mut emission, mut bondv, mut bonds): (
Vec<u16>,
Vec<u16>,
Vec<u16>,
Vec<u64>,
Vec<I32F32>,
Vec<I32F32>,
) = (vec![], vec![], vec![], vec![], vec![], vec![]);
// Dense epoch
new_test_ext(1).execute_with(|| {
init_run_epochs(
netuid,
network_n,
&validators,
&servers,
epochs,
1,
server_self,
&[],
false,
&[],
false,
true,
interleave as u64,
false,
);
let bond = SubtensorModule::get_bonds(netuid);
for uid in 0..network_n {
rank.push(SubtensorModule::get_rank_for_uid(netuid, uid));
incentive.push(SubtensorModule::get_incentive_for_uid(netuid, uid));
dividend.push(SubtensorModule::get_dividends_for_uid(netuid, uid));
emission.push(SubtensorModule::get_emission_for_uid(netuid, uid));
bondv.push(bond[uid as usize][validator]);
bonds.push(bond[uid as usize][server]);
}
});
// Sparse epoch (same random seed as dense)
new_test_ext(1).execute_with(|| {
init_run_epochs(
netuid,
network_n,
&validators,
&servers,
epochs,
1,
server_self,
&[],
false,
&[],
false,
true,
interleave as u64,
true,
);
// Assert that dense and sparse epoch results are equal
let bond = SubtensorModule::get_bonds(netuid);
for uid in 0..network_n {
assert_eq!(
SubtensorModule::get_rank_for_uid(netuid, uid),
rank[uid as usize]
);
assert_eq!(
SubtensorModule::get_incentive_for_uid(netuid, uid),
incentive[uid as usize]
);
assert_eq!(
SubtensorModule::get_dividends_for_uid(netuid, uid),
dividend[uid as usize]
);
assert_eq!(
SubtensorModule::get_emission_for_uid(netuid, uid),
emission[uid as usize]
);
assert_eq!(bond[uid as usize][validator], bondv[uid as usize]);
assert_eq!(bond[uid as usize][server], bonds[uid as usize]);
}
});
}
}
}
// Test an epoch on a graph with 4096 nodes, of which the first 256 are validators setting non-self weights, and the rest servers setting only self-weights.
// #[test]
#[allow(dead_code)]
fn test_4096_graph() {
let netuid: u16 = 1;
let network_n: u16 = 4096;
let validators_n: u16 = 256;
let epochs: u16 = 1;
let max_stake_per_validator: u64 = 82_031_250_000_000; // 21_000_000_000_000_000 / 256
log::info!("test_{network_n:?}_graph ({validators_n:?} validators)");
for interleave in 0..3 {
let (validators, servers) = distribute_nodes(
validators_n as usize,
network_n as usize,
interleave as usize,
);
let server: usize = servers[0] as usize;
let validator: usize = validators[0] as usize;
for server_self in [false, true] {
// server-self weight off/on
new_test_ext(1).execute_with(|| {
init_run_epochs(
netuid,
network_n,
&validators,
&servers,
epochs,
max_stake_per_validator,
server_self,
&[],
false,
&[],
false,
false,
0,
true,
);
assert_eq!(SubtensorModule::get_total_stake(), 21_000_000_000_000_000);
let bonds = SubtensorModule::get_bonds(netuid);
for uid in &validators {
assert_eq!(
SubtensorModule::get_total_stake_for_hotkey(&(U256::from(*uid as u64))),
max_stake_per_validator
);
assert_eq!(SubtensorModule::get_rank_for_uid(netuid, *uid), 0);
assert_eq!(SubtensorModule::get_trust_for_uid(netuid, *uid), 0);
assert_eq!(SubtensorModule::get_consensus_for_uid(netuid, *uid), 0);
assert_eq!(SubtensorModule::get_incentive_for_uid(netuid, *uid), 0);
assert_eq!(SubtensorModule::get_dividends_for_uid(netuid, *uid), 255); // Note D = floor(1 / 256 * 65_535)
assert_eq!(SubtensorModule::get_emission_for_uid(netuid, *uid), 1953125); // Note E = 0.5 / 256 * 1_000_000_000 = 1953125
assert_eq!(bonds[*uid as usize][validator], 0.0);
assert_eq!(
bonds[*uid as usize][server],
I32F32::from_num(255) / I32F32::from_num(65_535)
); // Note B_ij = floor(1 / 256 * 65_535) / 65_535
}
for uid in &servers {
assert_eq!(
SubtensorModule::get_total_stake_for_hotkey(&(U256::from(*uid as u64))),
0
);
assert_eq!(SubtensorModule::get_rank_for_uid(netuid, *uid), 17); // Note R = floor(1 / (4096 - 256) * 65_535) = 17
assert_eq!(SubtensorModule::get_trust_for_uid(netuid, *uid), 65535);
assert_eq!(SubtensorModule::get_consensus_for_uid(netuid, *uid), 17); // Note C = floor(1 / (4096 - 256) * 65_535) = 17
assert_eq!(SubtensorModule::get_incentive_for_uid(netuid, *uid), 17); // Note I = floor(1 / (4096 - 256) * 65_535) = 17
assert_eq!(SubtensorModule::get_dividends_for_uid(netuid, *uid), 0);
assert_eq!(SubtensorModule::get_emission_for_uid(netuid, *uid), 130208); // Note E = floor(0.5 / (4096 - 256) * 1_000_000_000) = 130208
assert_eq!(bonds[*uid as usize][validator], 0.0);
assert_eq!(bonds[*uid as usize][server], 0.0);
}
});
}
}
}
// Test an epoch_sparse on a graph with 16384 nodes, of which the first 512 are validators setting non-self weights, and the rest servers setting only self-weights.
// #[test]
#[allow(dead_code)]
fn test_16384_graph_sparse() {
new_test_ext(1).execute_with(|| {
let netuid: u16 = 1;
let n: u16 = 16384;
let validators_n: u16 = 512;
let validators: Vec<u16> = (0..validators_n).collect();
let servers: Vec<u16> = (validators_n..n).collect();
let server: u16 = servers[0];
let epochs: u16 = 1;
log::info!("test_{n:?}_graph ({validators_n:?} validators)");
init_run_epochs(
netuid,
n,
&validators,
&servers,
epochs,
1,
false,
&[],
false,
&[],
false,
false,
0,
true,
);
let bonds = SubtensorModule::get_bonds(netuid);
for uid in validators {
assert_eq!(
SubtensorModule::get_total_stake_for_hotkey(&(U256::from(uid))),
1
);
assert_eq!(SubtensorModule::get_rank_for_uid(netuid, uid), 0);
assert_eq!(SubtensorModule::get_trust_for_uid(netuid, uid), 0);
assert_eq!(SubtensorModule::get_consensus_for_uid(netuid, uid), 438); // Note C = 0.0066928507 = (0.0066928507*65_535) = floor( 438.6159706245 )
assert_eq!(SubtensorModule::get_incentive_for_uid(netuid, uid), 0);
assert_eq!(SubtensorModule::get_dividends_for_uid(netuid, uid), 127); // Note D = floor(1 / 512 * 65_535) = 127
assert_eq!(SubtensorModule::get_emission_for_uid(netuid, uid), 976085); // Note E = 0.5 / 512 * 1_000_000_000 = 976_562 (discrepancy)
assert_eq!(bonds[uid as usize][0], 0.0);
assert_eq!(
bonds[uid as usize][server as usize],
I32F32::from_num(127) / I32F32::from_num(65_535)
); // Note B_ij = floor(1 / 512 * 65_535) / 65_535 = 127 / 65_535
}
for uid in servers {
assert_eq!(
SubtensorModule::get_total_stake_for_hotkey(&(U256::from(uid))),
0
);
assert_eq!(SubtensorModule::get_rank_for_uid(netuid, uid), 4); // Note R = floor(1 / (16384 - 512) * 65_535) = 4
assert_eq!(SubtensorModule::get_trust_for_uid(netuid, uid), 65535);
assert_eq!(SubtensorModule::get_consensus_for_uid(netuid, uid), 4); // Note C = floor(1 / (16384 - 512) * 65_535) = 4
assert_eq!(SubtensorModule::get_incentive_for_uid(netuid, uid), 4); // Note I = floor(1 / (16384 - 512) * 65_535) = 4
assert_eq!(SubtensorModule::get_dividends_for_uid(netuid, uid), 0);
assert_eq!(SubtensorModule::get_emission_for_uid(netuid, uid), 31517); // Note E = floor(0.5 / (16384 - 512) * 1_000_000_000) = 31502 (discrepancy)
assert_eq!(bonds[uid as usize][0], 0.0);
assert_eq!(bonds[uid as usize][server as usize], 0.0);
}
});
}
// Test bonds exponential moving average over a sequence of epochs.
#[test]
fn test_bonds() {
new_test_ext(1).execute_with(|| {
let sparse: bool = true;
let n: u16 = 8;
let netuid: u16 = 1;
let tempo: u16 = u16::MAX - 1; // high tempo to skip automatic epochs in on_initialize, use manual epochs instead
let max_stake: u64 = 4;
let stakes: Vec<u64> = vec![1, 2, 3, 4, 0, 0, 0, 0];
let block_number = System::block_number();
add_network(netuid, tempo, 0);
SubtensorModule::set_max_allowed_uids( netuid, n );
assert_eq!(SubtensorModule::get_max_allowed_uids(netuid), n);
SubtensorModule::set_max_registrations_per_block( netuid, n );
SubtensorModule::set_target_registrations_per_interval(netuid, n);
SubtensorModule::set_weights_set_rate_limit( netuid, 0 );
SubtensorModule::set_min_allowed_weights( netuid, 1 );
SubtensorModule::set_max_weight_limit( netuid, u16::MAX );
// === Register [validator1, validator2, validator3, validator4, server1, server2, server3, server4]
for key in 0..n as u64 {
SubtensorModule::add_balance_to_coldkey_account( &U256::from(key), max_stake );
let (nonce, work): (u64, Vec<u8>) = SubtensorModule::create_work_for_block_number( netuid, block_number, key * 1_000_000, &U256::from(key));
assert_ok!(SubtensorModule::register(<<Test as Config>::RuntimeOrigin>::signed(U256::from(key)), netuid, block_number, nonce, work, U256::from(key), U256::from(key)));
SubtensorModule::increase_stake_on_coldkey_hotkey_account( &U256::from(key), &U256::from(key), stakes[key as usize] );
}
assert_eq!(SubtensorModule::get_max_allowed_uids(netuid), n);
assert_eq!(SubtensorModule::get_subnetwork_n(netuid), n);
// === Issue validator permits
SubtensorModule::set_max_allowed_validators(netuid, n);
assert_eq!( SubtensorModule::get_max_allowed_validators(netuid), n);
SubtensorModule::epoch( netuid, 1_000_000_000 ); // run first epoch to set allowed validators
next_block(); // run to next block to ensure weights are set on nodes after their registration block