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Compute yearly inflation on-chain allowing to change x_ideal according to number of slots. (#8332)
* new crate * Update frame/staking/reward-fn/src/lib.rs Co-authored-by: Gavin Wood <gavin@parity.io> * fix doc Co-authored-by: Gavin Wood <gavin@parity.io>
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// This file is part of Substrate.
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// Copyright (C) 2021 Parity Technologies (UK) Ltd.
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// SPDX-License-Identifier: Apache-2.0
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//! Useful function for inflation for nominated proof of stake.
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use sp_arithmetic::{Perquintill, PerThing, biguint::BigUint, traits::{Zero, SaturatedConversion}};
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use core::convert::TryFrom;
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/// Compute yearly inflation using function
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///
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/// ```ignore
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/// I(x) = for x between 0 and x_ideal: x / x_ideal,
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/// for x between x_ideal and 1: 2^((x_ideal - x) / d)
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/// ```
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///
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/// where:
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/// * x is the stake rate, i.e. fraction of total issued tokens that actively staked behind
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/// validators.
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/// * d is the falloff or `decay_rate`
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/// * x_ideal: the ideal stake rate.
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///
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/// The result is meant to be scaled with minimum inflation and maximum inflation.
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///
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/// (as detailed
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/// [here](https://research.web3.foundation/en/latest/polkadot/economics/1-token-economics.html#inflation-model-with-parachains))
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///
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/// Arguments are:
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/// * `stake`:
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/// The fraction of total issued tokens that actively staked behind
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/// validators. Known as `x` in the literature.
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/// Must be between 0 and 1.
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/// * `ideal_stake`:
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/// The fraction of total issued tokens that should be actively staked behind
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/// validators. Known as `x_ideal` in the literature.
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/// Must be between 0 and 1.
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/// * `falloff`:
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/// Known as `decay_rate` in the literature. A co-efficient dictating the strength of
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/// the global incentivization to get the `ideal_stake`. A higher number results in less typical
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/// inflation at the cost of greater volatility for validators.
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/// Must be more than 0.01.
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pub fn compute_inflation<P: PerThing>(
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stake: P,
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ideal_stake: P,
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falloff: P,
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) -> P {
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if stake < ideal_stake {
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// ideal_stake is more than 0 because it is strictly more than stake
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return stake / ideal_stake
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}
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if falloff < P::from_percent(1.into()) {
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log::error!("Invalid inflation computation: falloff less than 1% is not supported");
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return PerThing::zero()
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}
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let accuracy = {
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let mut a = BigUint::from(Into::<u128>::into(P::ACCURACY));
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a.lstrip();
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a
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};
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let mut falloff = BigUint::from(falloff.deconstruct().into());
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falloff.lstrip();
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let ln2 = {
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let ln2 = P::from_rational(LN2.deconstruct().into(), Perquintill::ACCURACY.into());
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BigUint::from(ln2.deconstruct().into())
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};
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// falloff is stripped above.
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let ln2_div_d = div_by_stripped(ln2.mul(&accuracy), &falloff);
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let inpos_param = INPoSParam {
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x_ideal: BigUint::from(ideal_stake.deconstruct().into()),
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x: BigUint::from(stake.deconstruct().into()),
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accuracy,
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ln2_div_d,
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};
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let res = compute_taylor_serie_part(&inpos_param);
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match u128::try_from(res.clone()) {
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Ok(res) if res <= Into::<u128>::into(P::ACCURACY) => {
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P::from_parts(res.saturated_into())
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},
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// If result is beyond bounds there is nothing we can do
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_ => {
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log::error!("Invalid inflation computation: unexpected result {:?}", res);
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P::zero()
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},
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}
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}
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/// Internal struct holding parameter info alongside other cached value.
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///
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/// All expressed in part from `accuracy`
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struct INPoSParam {
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ln2_div_d: BigUint,
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x_ideal: BigUint,
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x: BigUint,
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/// Must be stripped and have no leading zeros.
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accuracy: BigUint,
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}
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/// `ln(2)` expressed in as perquintillionth.
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const LN2: Perquintill = Perquintill::from_parts(0_693_147_180_559_945_309);
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/// Compute `2^((x_ideal - x) / d)` using taylor serie.
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///
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/// x must be strictly more than x_ideal.
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///
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/// result is expressed with accuracy `INPoSParam.accuracy`
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fn compute_taylor_serie_part(p: &INPoSParam) -> BigUint {
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// The last computed taylor term.
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let mut last_taylor_term = p.accuracy.clone();
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// Whereas taylor sum is positive.
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let mut taylor_sum_positive = true;
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// The sum of all taylor term.
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let mut taylor_sum = last_taylor_term.clone();
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for k in 1..300 {
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last_taylor_term = compute_taylor_term(k, &last_taylor_term, p);
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if last_taylor_term.is_zero() {
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break
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}
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let last_taylor_term_positive = k % 2 == 0;
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if taylor_sum_positive == last_taylor_term_positive {
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taylor_sum = taylor_sum.add(&last_taylor_term);
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} else {
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if taylor_sum >= last_taylor_term {
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taylor_sum = taylor_sum.sub(&last_taylor_term)
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// NOTE: Should never happen as checked above
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.unwrap_or_else(|e| e);
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} else {
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taylor_sum_positive = !taylor_sum_positive;
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taylor_sum = last_taylor_term.clone().sub(&taylor_sum)
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// NOTE: Should never happen as checked above
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.unwrap_or_else(|e| e);
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}
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}
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}
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if !taylor_sum_positive {
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return BigUint::zero()
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}
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taylor_sum.lstrip();
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taylor_sum
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}
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/// Return the absolute value of k-th taylor term of `2^((x_ideal - x))/d` i.e.
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/// `((x - x_ideal) * ln(2) / d)^k / k!`
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///
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/// x must be strictly more x_ideal.
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///
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/// We compute the term from the last term using this formula:
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///
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/// `((x - x_ideal) * ln(2) / d)^k / k! == previous_term * (x - x_ideal) * ln(2) / d / k`
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///
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/// `previous_taylor_term` and result are expressed with accuracy `INPoSParam.accuracy`
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fn compute_taylor_term(k: u32, previous_taylor_term: &BigUint, p: &INPoSParam) -> BigUint {
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let x_minus_x_ideal = p.x.clone().sub(&p.x_ideal)
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// NOTE: Should never happen, as x must be more than x_ideal
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.unwrap_or_else(|_| BigUint::zero());
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let res = previous_taylor_term.clone()
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.mul(&x_minus_x_ideal)
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.mul(&p.ln2_div_d)
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.div_unit(k);
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// p.accuracy is stripped by definition.
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let res = div_by_stripped(res, &p.accuracy);
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let mut res = div_by_stripped(res, &p.accuracy);
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res.lstrip();
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res
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}
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/// Compute a div b.
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///
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/// requires `b` to be stripped and have no leading zeros.
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fn div_by_stripped(mut a: BigUint, b: &BigUint) -> BigUint {
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a.lstrip();
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if b.len() == 0 {
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log::error!("Computation error: Invalid division");
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return BigUint::zero()
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}
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if b.len() == 1 {
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return a.div_unit(b.checked_get(0).unwrap_or(1))
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}
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if b.len() > a.len() {
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return BigUint::zero()
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}
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if b.len() == a.len() {
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// 100_000^2 is more than 2^32-1, thus `new_a` has more limbs than `b`.
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let mut new_a = a.mul(&BigUint::from(100_000u64.pow(2)));
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new_a.lstrip();
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debug_assert!(new_a.len() > b.len());
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return new_a
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.div(b, false)
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.map(|res| res.0)
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.unwrap_or_else(|| BigUint::zero())
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.div_unit(100_000)
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.div_unit(100_000)
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}
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a.div(b, false)
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.map(|res| res.0)
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.unwrap_or_else(|| BigUint::zero())
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}
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