Attempt to remove the where bounds in arithmetic. (#7933)

* Attempt to remove the where bounds.

* Fix further and further.

* Format better.

* Update primitives/npos-elections/src/lib.rs

* fix build

* remove unused
This commit is contained in:
Kian Paimani
2021-01-21 09:39:30 +00:00
committed by GitHub
parent 9031c35114
commit 0dd8cd6277
11 changed files with 125 additions and 139 deletions
+2 -5
View File
@@ -305,7 +305,7 @@ use frame_support::{
};
use pallet_session::historical;
use sp_runtime::{
Percent, Perbill, PerU16, InnerOf, RuntimeDebug, DispatchError,
Percent, Perbill, PerU16, RuntimeDebug, DispatchError,
curve::PiecewiseLinear,
traits::{
Convert, Zero, StaticLookup, CheckedSub, Saturating, SaturatedConversion,
@@ -2991,10 +2991,7 @@ impl<T: Config> Module<T> {
/// No storage item is updated.
pub fn do_phragmen<Accuracy: PerThing128>(
iterations: usize,
) -> Option<PrimitiveElectionResult<T::AccountId, Accuracy>>
where
ExtendedBalance: From<InnerOf<Accuracy>>,
{
) -> Option<PrimitiveElectionResult<T::AccountId, Accuracy>> {
let weight_of = Self::slashable_balance_of_fn();
let mut all_nominators: Vec<(T::AccountId, VoteWeight, Vec<T::AccountId>)> = Vec::new();
let mut all_validators = Vec::new();
@@ -29,7 +29,7 @@ use sp_npos_elections::{
ExtendedBalance, CompactSolution,
};
use sp_runtime::{
offchain::storage::StorageValueRef, traits::TrailingZeroInput, PerThing, RuntimeDebug,
offchain::storage::StorageValueRef, traits::TrailingZeroInput, RuntimeDebug,
};
use sp_std::{convert::TryInto, prelude::*};
@@ -326,10 +326,7 @@ pub fn prepare_submission<T: Config>(
) -> Result<
(Vec<ValidatorIndex>, CompactAssignments, ElectionScore, ElectionSize),
OffchainElectionError,
>
where
ExtendedBalance: From<<OffchainAccuracy as PerThing>::Inner>,
{
> {
// make sure that the snapshot is available.
let snapshot_validators =
<Module<T>>::snapshot_validators().ok_or(OffchainElectionError::SnapshotUnavailable)?;
+8 -11
View File
@@ -114,19 +114,16 @@ impl_normalize_for_numeric!(u8, u16, u32, u64, u128);
impl<P: PerThing> Normalizable<P> for Vec<P> {
fn normalize(&self, targeted_sum: P) -> Result<Vec<P>, &'static str> {
let inners = self
.iter()
.map(|p| p.clone().deconstruct().into())
.collect::<Vec<_>>();
let uppers =
self.iter().map(|p| <UpperOf<P>>::from(p.clone().deconstruct())).collect::<Vec<_>>();
let normalized = normalize(inners.as_ref(), targeted_sum.deconstruct().into())?;
let normalized =
normalize(uppers.as_ref(), <UpperOf<P>>::from(targeted_sum.deconstruct()))?;
Ok(
normalized
.into_iter()
.map(|i: UpperOf<P>| P::from_parts(i.saturated_into()))
.collect()
)
Ok(normalized
.into_iter()
.map(|i: UpperOf<P>| P::from_parts(i.saturated_into::<P::Inner>()))
.collect())
}
}
@@ -22,6 +22,7 @@ use sp_std::{ops, fmt, prelude::*, convert::TryInto};
use codec::{Encode, CompactAs};
use crate::traits::{
SaturatedConversion, UniqueSaturatedInto, Saturating, BaseArithmetic, Bounded, Zero, Unsigned,
One,
};
use sp_debug_derive::RuntimeDebug;
@@ -37,13 +38,17 @@ pub trait PerThing:
Sized + Saturating + Copy + Default + Eq + PartialEq + Ord + PartialOrd + Bounded + fmt::Debug
{
/// The data type used to build this per-thingy.
type Inner: BaseArithmetic + Unsigned + Copy + fmt::Debug;
type Inner: BaseArithmetic + Unsigned + Copy + Into<u128> + fmt::Debug;
/// A data type larger than `Self::Inner`, used to avoid overflow in some computations.
/// It must be able to compute `ACCURACY^2`.
type Upper:
BaseArithmetic + Copy + From<Self::Inner> + TryInto<Self::Inner> +
UniqueSaturatedInto<Self::Inner> + Unsigned + fmt::Debug;
type Upper: BaseArithmetic
+ Copy
+ From<Self::Inner>
+ TryInto<Self::Inner>
+ UniqueSaturatedInto<Self::Inner>
+ Unsigned
+ fmt::Debug;
/// The accuracy of this type.
const ACCURACY: Self::Inner;
@@ -65,14 +70,14 @@ pub trait PerThing:
fn from_percent(x: Self::Inner) -> Self {
let a: Self::Inner = x.min(100.into());
let b: Self::Inner = 100.into();
Self::from_rational_approximation(a, b)
Self::from_rational_approximation::<Self::Inner>(a, b)
}
/// Return the product of multiplication of this value by itself.
fn square(self) -> Self {
let p = Self::Upper::from(self.deconstruct());
let q = Self::Upper::from(Self::ACCURACY);
Self::from_rational_approximation(p * p, q * q)
Self::from_rational_approximation::<Self::Upper>(p * p, q * q)
}
/// Multiplication that always rounds down to a whole number. The standard `Mul` rounds to the
@@ -91,8 +96,10 @@ pub trait PerThing:
/// # }
/// ```
fn mul_floor<N>(self, b: N) -> N
where N: Clone + From<Self::Inner> + UniqueSaturatedInto<Self::Inner> + ops::Rem<N, Output=N> +
ops::Div<N, Output=N> + ops::Mul<N, Output=N> + ops::Add<N, Output=N> + Unsigned
where
N: Clone + UniqueSaturatedInto<Self::Inner> + ops::Rem<N, Output=N> +
ops::Div<N, Output=N> + ops::Mul<N, Output=N> + ops::Add<N, Output=N> + Unsigned,
Self::Inner: Into<N>,
{
overflow_prune_mul::<N, Self>(b, self.deconstruct(), Rounding::Down)
}
@@ -113,8 +120,10 @@ pub trait PerThing:
/// # }
/// ```
fn mul_ceil<N>(self, b: N) -> N
where N: Clone + From<Self::Inner> + UniqueSaturatedInto<Self::Inner> + ops::Rem<N, Output=N> +
ops::Div<N, Output=N> + ops::Mul<N, Output=N> + ops::Add<N, Output=N> + Unsigned
where
N: Clone + UniqueSaturatedInto<Self::Inner> + ops::Rem<N, Output=N> +
ops::Div<N, Output=N> + ops::Mul<N, Output=N> + ops::Add<N, Output=N> + Unsigned,
Self::Inner: Into<N>
{
overflow_prune_mul::<N, Self>(b, self.deconstruct(), Rounding::Up)
}
@@ -129,9 +138,11 @@ pub trait PerThing:
/// # }
/// ```
fn saturating_reciprocal_mul<N>(self, b: N) -> N
where N: Clone + From<Self::Inner> + UniqueSaturatedInto<Self::Inner> + ops::Rem<N, Output=N> +
ops::Div<N, Output=N> + ops::Mul<N, Output=N> + ops::Add<N, Output=N> + Saturating +
Unsigned
where
N: Clone + UniqueSaturatedInto<Self::Inner> + ops::Rem<N, Output=N> +
ops::Div<N, Output=N> + ops::Mul<N, Output=N> + ops::Add<N, Output=N> + Saturating +
Unsigned,
Self::Inner: Into<N>,
{
saturating_reciprocal_mul::<N, Self>(b, self.deconstruct(), Rounding::Nearest)
}
@@ -149,9 +160,11 @@ pub trait PerThing:
/// # }
/// ```
fn saturating_reciprocal_mul_floor<N>(self, b: N) -> N
where N: Clone + From<Self::Inner> + UniqueSaturatedInto<Self::Inner> + ops::Rem<N, Output=N> +
ops::Div<N, Output=N> + ops::Mul<N, Output=N> + ops::Add<N, Output=N> + Saturating +
Unsigned
where
N: Clone + UniqueSaturatedInto<Self::Inner> + ops::Rem<N, Output=N> +
ops::Div<N, Output=N> + ops::Mul<N, Output=N> + ops::Add<N, Output=N> + Saturating +
Unsigned,
Self::Inner: Into<N>,
{
saturating_reciprocal_mul::<N, Self>(b, self.deconstruct(), Rounding::Down)
}
@@ -169,9 +182,11 @@ pub trait PerThing:
/// # }
/// ```
fn saturating_reciprocal_mul_ceil<N>(self, b: N) -> N
where N: Clone + From<Self::Inner> + UniqueSaturatedInto<Self::Inner> + ops::Rem<N, Output=N> +
ops::Div<N, Output=N> + ops::Mul<N, Output=N> + ops::Add<N, Output=N> + Saturating +
Unsigned
where
N: Clone + UniqueSaturatedInto<Self::Inner> + ops::Rem<N, Output=N> +
ops::Div<N, Output=N> + ops::Mul<N, Output=N> + ops::Add<N, Output=N> + Saturating +
Unsigned,
Self::Inner: Into<N>,
{
saturating_reciprocal_mul::<N, Self>(b, self.deconstruct(), Rounding::Up)
}
@@ -199,14 +214,16 @@ pub trait PerThing:
/// # fn main () {
/// // 989/100 is technically closer to 99%.
/// assert_eq!(
/// Percent::from_rational_approximation(989u64, 1000),
/// Percent::from_parts(98),
/// );
/// Percent::from_rational_approximation(989u64, 1000),
/// Percent::from_parts(98),
/// );
/// # }
/// ```
fn from_rational_approximation<N>(p: N, q: N) -> Self
where N: Clone + Ord + From<Self::Inner> + TryInto<Self::Inner> + TryInto<Self::Upper> +
ops::Div<N, Output=N> + ops::Rem<N, Output=N> + ops::Add<N, Output=N> + Unsigned;
where
N: Clone + Ord + TryInto<Self::Inner> + TryInto<Self::Upper> +
ops::Div<N, Output=N> + ops::Rem<N, Output=N> + ops::Add<N, Output=N> + Unsigned,
Self::Inner: Into<N>;
}
/// The rounding method to use.
@@ -221,15 +238,12 @@ enum Rounding {
/// Saturating reciprocal multiplication. Compute `x / self`, saturating at the numeric
/// bounds instead of overflowing.
fn saturating_reciprocal_mul<N, P>(
x: N,
part: P::Inner,
rounding: Rounding,
) -> N
fn saturating_reciprocal_mul<N, P>(x: N, part: P::Inner, rounding: Rounding) -> N
where
N: Clone + From<P::Inner> + UniqueSaturatedInto<P::Inner> + ops::Div<N, Output=N> + ops::Mul<N,
N: Clone + UniqueSaturatedInto<P::Inner> + ops::Div<N, Output=N> + ops::Mul<N,
Output=N> + ops::Add<N, Output=N> + ops::Rem<N, Output=N> + Saturating + Unsigned,
P: PerThing,
P::Inner: Into<N>,
{
let maximum: N = P::ACCURACY.into();
let c = rational_mul_correction::<N, P>(
@@ -242,15 +256,12 @@ where
}
/// Overflow-prune multiplication. Accurately multiply a value by `self` without overflowing.
fn overflow_prune_mul<N, P>(
x: N,
part: P::Inner,
rounding: Rounding,
) -> N
fn overflow_prune_mul<N, P>(x: N, part: P::Inner, rounding: Rounding) -> N
where
N: Clone + From<P::Inner> + UniqueSaturatedInto<P::Inner> + ops::Div<N, Output=N> + ops::Mul<N,
N: Clone + UniqueSaturatedInto<P::Inner> + ops::Div<N, Output=N> + ops::Mul<N,
Output=N> + ops::Add<N, Output=N> + ops::Rem<N, Output=N> + Unsigned,
P: PerThing,
P::Inner: Into<N>,
{
let maximum: N = P::ACCURACY.into();
let part_n: N = part.into();
@@ -267,19 +278,15 @@ where
///
/// Take the remainder of `x / denom` and multiply by `numer / denom`. The result can be added
/// to `x / denom * numer` for an accurate result.
fn rational_mul_correction<N, P>(
x: N,
numer: P::Inner,
denom: P::Inner,
rounding: Rounding,
) -> N
fn rational_mul_correction<N, P>(x: N, numer: P::Inner, denom: P::Inner, rounding: Rounding) -> N
where
N: From<P::Inner> + UniqueSaturatedInto<P::Inner> + ops::Div<N, Output=N> + ops::Mul<N,
N: UniqueSaturatedInto<P::Inner> + ops::Div<N, Output=N> + ops::Mul<N,
Output=N> + ops::Add<N, Output=N> + ops::Rem<N, Output=N> + Unsigned,
P: PerThing,
P::Inner: Into<N>
{
let numer_upper = P::Upper::from(numer);
let denom_n = N::from(denom);
let denom_n: N = denom.into();
let denom_upper = P::Upper::from(denom);
let rem = x.rem(denom_n);
// `rem` is less than `denom`, which fits in `P::Inner`.
@@ -362,14 +369,17 @@ macro_rules! implement_per_thing {
}
fn from_rational_approximation<N>(p: N, q: N) -> Self
where N: Clone + Ord + From<Self::Inner> + TryInto<Self::Inner> + TryInto<Self::Upper>
+ ops::Div<N, Output=N> + ops::Rem<N, Output=N> + ops::Add<N, Output=N> + Unsigned
where
N: Clone + Ord + TryInto<Self::Inner> + TryInto<Self::Upper>
+ ops::Div<N, Output=N> + ops::Rem<N, Output=N> + ops::Add<N, Output=N> + Unsigned
+ Zero + One,
Self::Inner: Into<N>,
{
let div_ceil = |x: N, f: N| -> N {
let mut o = x.clone() / f.clone();
let r = x.rem(f.clone());
if r > N::from(0) {
o = o + N::from(1);
if r > N::zero() {
o = o + N::one();
}
o
};
@@ -464,54 +474,66 @@ macro_rules! implement_per_thing {
/// See [`PerThing::from_rational_approximation`].
pub fn from_rational_approximation<N>(p: N, q: N) -> Self
where N: Clone + Ord + From<$type> + TryInto<$type> +
where N: Clone + Ord + TryInto<$type> +
TryInto<$upper_type> + ops::Div<N, Output=N> + ops::Rem<N, Output=N> +
ops::Add<N, Output=N> + Unsigned
ops::Add<N, Output=N> + Unsigned,
$type: Into<N>,
{
<Self as PerThing>::from_rational_approximation(p, q)
}
/// See [`PerThing::mul_floor`].
pub fn mul_floor<N>(self, b: N) -> N
where N: Clone + From<$type> + UniqueSaturatedInto<$type> +
ops::Rem<N, Output=N> + ops::Div<N, Output=N> + ops::Mul<N, Output=N> +
ops::Add<N, Output=N> + Unsigned
where
N: Clone + UniqueSaturatedInto<$type> +
ops::Rem<N, Output=N> + ops::Div<N, Output=N> + ops::Mul<N, Output=N> +
ops::Add<N, Output=N> + Unsigned,
$type: Into<N>,
{
PerThing::mul_floor(self, b)
}
/// See [`PerThing::mul_ceil`].
pub fn mul_ceil<N>(self, b: N) -> N
where N: Clone + From<$type> + UniqueSaturatedInto<$type> +
ops::Rem<N, Output=N> + ops::Div<N, Output=N> + ops::Mul<N, Output=N> +
ops::Add<N, Output=N> + Unsigned
where
N: Clone + UniqueSaturatedInto<$type> +
ops::Rem<N, Output=N> + ops::Div<N, Output=N> + ops::Mul<N, Output=N> +
ops::Add<N, Output=N> + Unsigned,
$type: Into<N>,
{
PerThing::mul_ceil(self, b)
}
/// See [`PerThing::saturating_reciprocal_mul`].
pub fn saturating_reciprocal_mul<N>(self, b: N) -> N
where N: Clone + From<$type> + UniqueSaturatedInto<$type> + ops::Rem<N, Output=N> +
ops::Div<N, Output=N> + ops::Mul<N, Output=N> + ops::Add<N, Output=N> +
Saturating + Unsigned
where
N: Clone + UniqueSaturatedInto<$type> + ops::Rem<N, Output=N> +
ops::Div<N, Output=N> + ops::Mul<N, Output=N> + ops::Add<N, Output=N> +
Saturating + Unsigned,
$type: Into<N>,
{
PerThing::saturating_reciprocal_mul(self, b)
}
/// See [`PerThing::saturating_reciprocal_mul_floor`].
pub fn saturating_reciprocal_mul_floor<N>(self, b: N) -> N
where N: Clone + From<$type> + UniqueSaturatedInto<$type> + ops::Rem<N, Output=N> +
ops::Div<N, Output=N> + ops::Mul<N, Output=N> + ops::Add<N, Output=N> +
Saturating + Unsigned
where
N: Clone + UniqueSaturatedInto<$type> + ops::Rem<N, Output=N> +
ops::Div<N, Output=N> + ops::Mul<N, Output=N> + ops::Add<N, Output=N> +
Saturating + Unsigned,
$type: Into<N>,
{
PerThing::saturating_reciprocal_mul_floor(self, b)
}
/// See [`PerThing::saturating_reciprocal_mul_ceil`].
pub fn saturating_reciprocal_mul_ceil<N>(self, b: N) -> N
where N: Clone + From<$type> + UniqueSaturatedInto<$type> + ops::Rem<N, Output=N> +
ops::Div<N, Output=N> + ops::Mul<N, Output=N> + ops::Add<N, Output=N> +
Saturating + Unsigned
where
N: Clone + UniqueSaturatedInto<$type> + ops::Rem<N, Output=N> +
ops::Div<N, Output=N> + ops::Mul<N, Output=N> + ops::Add<N, Output=N> +
Saturating + Unsigned,
$type: Into<N>,
{
PerThing::saturating_reciprocal_mul_ceil(self, b)
}
@@ -611,8 +633,9 @@ macro_rules! implement_per_thing {
/// This is tailored to be used with a balance type.
impl<N> ops::Mul<N> for $name
where
N: Clone + From<$type> + UniqueSaturatedInto<$type> + ops::Rem<N, Output=N>
N: Clone + UniqueSaturatedInto<$type> + ops::Rem<N, Output=N>
+ ops::Div<N, Output=N> + ops::Mul<N, Output=N> + ops::Add<N, Output=N> + Unsigned,
$type: Into<N>,
{
type Output = N;
fn mul(self, b: N) -> Self::Output {
@@ -17,7 +17,6 @@
//! An implementation of [`ElectionProvider`] that does an on-chain sequential phragmen.
use sp_arithmetic::InnerOf;
use crate::{ElectionDataProvider, ElectionProvider};
use sp_npos_elections::*;
use sp_std::{collections::btree_map::BTreeMap, marker::PhantomData, prelude::*};
@@ -58,10 +57,7 @@ pub trait Config {
type DataProvider: ElectionDataProvider<Self::AccountId, Self::BlockNumber>;
}
impl<T: Config> ElectionProvider<T::AccountId, T::BlockNumber> for OnChainSequentialPhragmen<T>
where
ExtendedBalance: From<InnerOf<T::Accuracy>>,
{
impl<T: Config> ElectionProvider<T::AccountId, T::BlockNumber> for OnChainSequentialPhragmen<T> {
type Error = Error;
type DataProvider = T::DataProvider;
@@ -65,7 +65,6 @@ mod bench_closure_and_slice {
) -> Vec<StakedAssignment<A>>
where
T: sp_std::ops::Mul<ExtendedBalance, Output = ExtendedBalance>,
ExtendedBalance: From<<T as PerThing>::Inner>,
{
ratio
.into_iter()
@@ -17,11 +17,8 @@
//! Helper methods for npos-elections.
use crate::{
Assignment, Error, ExtendedBalance, IdentifierT, PerThing128, StakedAssignment, VoteWeight,
WithApprovalOf,
};
use sp_arithmetic::{InnerOf, PerThing};
use crate::{Assignment, Error, IdentifierT, PerThing128, StakedAssignment, VoteWeight, WithApprovalOf};
use sp_arithmetic::PerThing;
use sp_std::prelude::*;
/// Converts a vector of ratio assignments into ones with absolute budget value.
@@ -33,7 +30,6 @@ pub fn assignment_ratio_to_staked<A: IdentifierT, P: PerThing128, FS>(
) -> Vec<StakedAssignment<A>>
where
for<'r> FS: Fn(&'r A) -> VoteWeight,
ExtendedBalance: From<InnerOf<P>>,
{
ratios
.into_iter()
@@ -51,7 +47,6 @@ pub fn assignment_ratio_to_staked_normalized<A: IdentifierT, P: PerThing128, FS>
) -> Result<Vec<StakedAssignment<A>>, Error>
where
for<'r> FS: Fn(&'r A) -> VoteWeight,
ExtendedBalance: From<InnerOf<P>>,
{
let mut staked = assignment_ratio_to_staked(ratio, &stake_of);
staked
@@ -68,24 +63,19 @@ where
/// Note that this will NOT attempt at normalizing the result.
pub fn assignment_staked_to_ratio<A: IdentifierT, P: PerThing>(
staked: Vec<StakedAssignment<A>>,
) -> Vec<Assignment<A, P>>
where
ExtendedBalance: From<InnerOf<P>>,
{
) -> Vec<Assignment<A, P>> {
staked.into_iter().map(|a| a.into_assignment()).collect()
}
/// Same as [`assignment_staked_to_ratio`] and try and do normalization.
pub fn assignment_staked_to_ratio_normalized<A: IdentifierT, P: PerThing128>(
staked: Vec<StakedAssignment<A>>,
) -> Result<Vec<Assignment<A, P>>, Error>
where
ExtendedBalance: From<InnerOf<P>>,
{
) -> Result<Vec<Assignment<A, P>>, Error> {
let mut ratio = staked.into_iter().map(|a| a.into_assignment()).collect::<Vec<_>>();
ratio.iter_mut().map(|a|
a.try_normalize().map_err(|err| Error::ArithmeticError(err))
).collect::<Result<_, _>>()?;
ratio
.iter_mut()
.map(|a| a.try_normalize().map_err(|err| Error::ArithmeticError(err)))
.collect::<Result<_, _>>()?;
Ok(ratio)
}
+8 -13
View File
@@ -75,7 +75,7 @@
use sp_arithmetic::{
traits::{Bounded, UniqueSaturatedInto, Zero},
InnerOf, Normalizable, PerThing, Rational128, ThresholdOrd,
Normalizable, PerThing, Rational128, ThresholdOrd,
};
use sp_std::{
cell::RefCell,
@@ -209,7 +209,6 @@ pub trait CompactSolution: Sized {
where
for<'r> FS: Fn(&'r A) -> VoteWeight,
A: IdentifierT,
ExtendedBalance: From<InnerOf<Self::Accuracy>>,
{
let ratio = self.into_assignment(voter_at, target_at)?;
let staked = helpers::assignment_ratio_to_staked_normalized(ratio, stake_of)?;
@@ -332,14 +331,14 @@ impl<AccountId: IdentifierT> Voter<AccountId> {
/// Note that this might create _un-normalized_ assignments, due to accuracy loss of `P`. Call
/// site might compensate by calling `normalize()` on the returned `Assignment` as a
/// post-precessing.
pub fn into_assignment<P: PerThing>(self) -> Option<Assignment<AccountId, P>>
where
ExtendedBalance: From<InnerOf<P>>,
{
pub fn into_assignment<P: PerThing>(self) -> Option<Assignment<AccountId, P>> {
let who = self.who;
let budget = self.budget;
let distribution = self.edges.into_iter().filter_map(|e| {
let per_thing = P::from_rational_approximation(e.weight, budget);
let distribution = self
.edges
.into_iter()
.filter_map(|e| {
let per_thing = P::from_rational_approximation(e.weight, budget);
// trim zero edges.
if per_thing.is_zero() { None } else { Some((e.who, per_thing)) }
}).collect::<Vec<_>>();
@@ -507,7 +506,6 @@ impl<AccountId> StakedAssignment<AccountId> {
/// can never be re-created and does not mean anything useful anymore.
pub fn into_assignment<P: PerThing>(self) -> Assignment<AccountId, P>
where
ExtendedBalance: From<InnerOf<P>>,
AccountId: IdentifierT,
{
let stake = self.total();
@@ -706,10 +704,7 @@ where
/// greater or less than `that`.
///
/// Note that the third component should be minimized.
pub fn is_score_better<P: PerThing>(this: ElectionScore, that: ElectionScore, epsilon: P) -> bool
where
ExtendedBalance: From<InnerOf<P>>,
{
pub fn is_score_better<P: PerThing>(this: ElectionScore, that: ElectionScore, epsilon: P) -> bool {
match this
.iter()
.zip(that.iter())
@@ -22,7 +22,7 @@
use crate::*;
use sp_arithmetic::{
traits::{One, SaturatedConversion, Zero},
InnerOf, PerThing,
PerThing,
};
use sp_runtime::assert_eq_error_rate;
use sp_std::collections::btree_map::BTreeMap;
@@ -321,9 +321,7 @@ pub(crate) fn run_and_compare<Output: PerThing128>(
voters: Vec<(AccountId, Vec<AccountId>)>,
stake_of: &Box<dyn Fn(&AccountId) -> VoteWeight>,
to_elect: usize,
) where
ExtendedBalance: From<InnerOf<Output>>,
{
) {
// run fixed point code.
let ElectionResult { winners, assignments } = seq_phragmen::<_, Output>(
to_elect,
@@ -27,7 +27,7 @@ use crate::{
use sp_arithmetic::{
helpers_128bit::multiply_by_rational,
traits::{Bounded, Zero},
InnerOf, Rational128,
Rational128,
};
use sp_std::prelude::*;
@@ -68,10 +68,7 @@ pub fn seq_phragmen<AccountId: IdentifierT, P: PerThing128>(
initial_candidates: Vec<AccountId>,
initial_voters: Vec<(AccountId, VoteWeight, Vec<AccountId>)>,
balance: Option<(usize, ExtendedBalance)>,
) -> Result<ElectionResult<AccountId, P>, crate::Error>
where
ExtendedBalance: From<InnerOf<P>>,
{
) -> Result<ElectionResult<AccountId, P>, crate::Error> {
let (candidates, voters) = setup_inputs(initial_candidates, initial_voters);
let (candidates, mut voters) = seq_phragmen_core::<AccountId>(
@@ -25,7 +25,7 @@ use crate::{
IdentifierT, ElectionResult, ExtendedBalance, setup_inputs, VoteWeight, Voter, CandidatePtr,
balance, PerThing128,
};
use sp_arithmetic::{PerThing, InnerOf, Rational128, traits::Bounded};
use sp_arithmetic::{PerThing, Rational128, traits::Bounded};
use sp_std::{prelude::*, rc::Rc};
/// Execute the phragmms method.
@@ -46,10 +46,7 @@ pub fn phragmms<AccountId: IdentifierT, P: PerThing128>(
initial_candidates: Vec<AccountId>,
initial_voters: Vec<(AccountId, VoteWeight, Vec<AccountId>)>,
balancing_config: Option<(usize, ExtendedBalance)>,
) -> Result<ElectionResult<AccountId, P>, &'static str>
where
ExtendedBalance: From<InnerOf<P>>,
{
) -> Result<ElectionResult<AccountId, P>, &'static str> {
let (candidates, mut voters) = setup_inputs(initial_candidates, initial_voters);
let mut winners = vec![];
@@ -89,7 +86,7 @@ where
pub(crate) fn calculate_max_score<AccountId: IdentifierT, P: PerThing>(
candidates: &[CandidatePtr<AccountId>],
voters: &[Voter<AccountId>],
) -> Option<CandidatePtr<AccountId>> where ExtendedBalance: From<InnerOf<P>> {
) -> Option<CandidatePtr<AccountId>> {
for c_ptr in candidates.iter() {
let mut candidate = c_ptr.borrow_mut();
if !candidate.elected {