The TypeChain project provides developers a tool to generate TypeScript typings for smart contracts they are interacting with. This gives all the usual benefits of Typing for example – flagging an error if you try to call a function on the smart contract that doesn’t exist.
In the SDK we were using the @balancer-labs/typechain package which aims to provide TypeChain bindings for the most commonly used Balancer contracts but we decided it would be better to remove this dependency and generate the bindings as needed. This enables us to remain up to date with new contracts (e.g. Relayers) without waiting for the package support.
Making The Changes
TypeChain is really pretty easy to use but we had to add a few additonal changes to the SDK.
ABIs To generate the typed wrapper TypeChain uses the Smart Contract ABIs. These were added in src/lib/abi. These can be found in the balancer-v2-monorepo or even from etherscan if the contract is already deployed/verified.
Targets TypeChain will generate appropriate code for a given web3 library. In the SDK we use ethers.js so we need to make sure the @typechain/ethers-v5 package is added to our dev dependencies. (See the other available targets here)
CLI Command To actually generate the files we need to run the typechain command and specifify the correct target, path to ABIs, and out path. For example:
Will target ethers and use the Vault ABI to generate the bindings in the src/contracts dir. You can see the full CLI docs here.
Its recommended that the generated file are not commited to the codebase so we add src/contracts/ to .gitignore. And in package.json a helper is added to scripts:
and the CI is updated to call this command post install.
Updating the code The last change to make was removing the old package and replacing any references to it. This is almost a direct replacement and just requires updating to use the path from the new contracts path. E.g.:
// Old
import { BalancerHelpers__factory } from "@balancer-labs/typechain";
// New
import { BalancerHelpers__factory } from '@/contracts/factories/BalancerHelpers__factory';
// Example of use
this.balancerHelpers = BalancerHelpers__factory.connect(
this.contractAddresses.balancerHelpers,
provider
);
Example Of The Benefits
During the updates one of the benefits was highlighted. A previous example was incorrectly calling the queryExit function on the BalancerHelpers contract. This is a function that although it is used like a view it is actually a special case that requires it to be used with an eth_call (see here for more info). This led to a Type warning when trying to access the response. After correctly updating to use a callStatic the response typing matched the expected.
// Incorrect version
const response = await contracts.balancerHelpers.queryExit(...);
expect(response.amountsIn)....
// Shows: Property 'amountsIn' does not exist on type 'ContractTransaction'.
// Correct version
const response = await contracts.balancerHelpers.callStatic.queryExit
expect(response.amountsIn)....
/*
Shows:
const response: [BigNumber, BigNumber[]] & {
bptOut: BigNumber;
amountsIn: BigNumber[];
}
*/
In the Balancer Smart Order Router (SOR) we try to find the best “path” to trade from one token to another. Until recently we only considered paths that consisted of swaps but the Relayer allows us to combine swaps with other actions like pool joins and exits and this opens up new paths to consider.
Pools, Actions and BPTs
Lets take a look at the humble 80/20 BAL/WETH weighted balancer pool and see some of the associated actions.
A token holder can join a Balancer pool by depositing tokens into it using the joinPool function on the vault. In return they receive a Balancer Pool Token (BPT) that represents their share in this pool. A user can join with a single token or a combination of tokens, as long as the tokens used already exist in the pool.
A BPT holder can exit the pool at anytime by providing the BPT back to the Vault using the exitPool function. And they can exit to one or a combination of the pool tokens.
In the Balancer veSystem users lock the BPT of the 80/20 BAL/WETH weighted balancer pool. This is cool because it ensures that even if a large portion of BAL tokens are locked, there is deep liquidity that can be used for swaps.
A swap against the 80/20 pool with a “normal” token swap would usually just involve swapping tokens that exist in the pool. e.g. swapping BAL to WETH. This can be achieved by calling the `Swap` function on the Balancer Vault.
We also have multihop swaps that chain together swaps across different pools, which in Balancers case is super efficient because of the Vault architeture. This can be achieved by calling the `batchSwap` function on the Vault.
BPT tokens are actually an ERC20 compatible token which means they have the same approve, transfer, balance functionality as any other ERC20. This means it can itself also be a token within another Balancer pool. This opens up a whole world of interesting use cases, like Boosted Pools. Another example is the auraBal stable pool.
Aura
There’s lots of detailed info in the veBal and Aura docs but as a quick summary:
veBAL (vote-escrow BAL) is a vesting and yield system based based on Curves veCRV system. Users lock the 80/20 BPT and gain voting power and protocol rewards.
Aura Finance is a protocol built on top of the Balancer system to provide maximum incentives to Balancer liquidity providers and BAL stakers.
auraBAL is tokenised veBAL and the stable pool consists of auraBal and the 80/20BPT. Now if a user wants to trade auraBal to Weth they can do a multihop swap like:
For larger trades this requires deep liquidity in the BPT/WETH pool, which in the Aura case hasn’t always been available. But there is another potential path, using a pool exit, that can make use of the deep liquidity locked in the 80/20 pool:
With the similar join path also being available:
Updating The Code
So we can see that adding support for these additional paths is definitely useful but it requires some changes to the existing code.
SOR Path Discovery
First we need to adapt the SOR so it considers join/exits as part of a viable path. An elegant and relatively easy to implement solution was suggested by Fernando. Some pools have pre-minted (or phantom) BPT which basically means the pool contains it’s own BPT in its tokens list. This means a swap can be used to trade to or from a pool token to join or exit, respectively. We can make the SOR consider non preminted pools in the same way by artificially adding the BPT to the pool token list.
if (useBpts) {
for (const pool of pools) {
if (
pool.poolType === 'Weighted' ||
pool.poolType === 'Investment'
) {
const BptAsToken: SubgraphToken = {
address: pool.address,
balance: pool.totalShares,
decimals: 18,
priceRate: '1',
weight: '0',
};
pool.tokens.push(BptAsToken);
pool.tokensList.push(pool.address);
}
}
}
We also have to make sure that each pool also has the relevant maths for BPT<>token swaps. Once these are added the SOR can create the relevant paths and will use the existing algorithm to determine the best price.
Call Construction
Paths containing only swaps can be submitted directly to the Vault batchSwap function. A combination of swaps with joins/exits can not – they have to be submitted via the Relayer multicall function. We wanted to try and keep the SOR focused on path finding so we added some helper functions to the SDK.
The first function `someJoinExit checks whether the paths returned from the SOR need to be submitted via the Vault (e.g. swaps only) or the Relayer (swaps and joins/exits). We can do this by checking if any of the hops involve a weighted pool with one of the tokens being the pool bpt. This works on the assumption that the weighted pools are not preminted.
// Use SOR to get swap information
const swapInfo = await sor.getSwaps(tokenIn, tokenOut, ...);
// Checks if path contains join/exit action
const useRelayer = someJoinExit(pools, swapInfo.swaps, swapInfo.tokenAddresses)
The second, buildRelayerCalls, formats the path data into a set of calls that can be submitted to the Relayer multicall function.
First it creates an action for each part of the path – swap, join or exit using getActions:
// For each 'swap' create a swap/join/exit action
const actions = getActions(
swapInfo.tokenIn,
swapInfo.tokenOut,
swapInfo.swaps,
swapInfo.tokenAddresses,
slippage,
pools,
user,
relayerAddress
);
which use the isJoin and isExit functions:
// Finds if a swap returned by SOR is a join by checking if tokenOut === poolAddress
export function isJoin(swap: SwapV2, assets: string[]): boolean {
// token[join]bpt
const tokenOut = assets[swap.assetOutIndex];
const poolAddress = getPoolAddress(swap.poolId);
return tokenOut.toLowerCase() === poolAddress.toLowerCase();
}
// Finds if a swap returned by SOR is an exit by checking if tokenIn === poolAddress
export function isExit(swap: SwapV2, assets: string[]): boolean {
// bpt[exit]token
const tokenIn = assets[swap.assetInIndex];
const poolAddress = getPoolAddress(swap.poolId);
return tokenIn.toLowerCase() === poolAddress.toLowerCase();
}
Then these actions are ordered and grouped. The first step is to categorize actions into a Join, Middle or Exit as this determines the order the actions can be done:
export function categorizeActions(actions: Actions[]): Actions[] {
const enterActions: Actions[] = [];
const exitActions: Actions[] = [];
const middleActions: Actions[] = [];
for (const a of actions) {
if (a.type === ActionType.Exit || a.type === ActionType.Join) {
// joins/exits with tokenIn can always be done first
if (a.hasTokenIn) enterActions.push(a);
// joins/exits with tokenOut (and not tokenIn) can always be done last
else if (a.hasTokenOut) exitActions.push(a);
else middleActions.push(a);
}
// All other actions will be chained inbetween
else middleActions.push(a);
}
const allActions: Actions[] = [
...enterActions,
...middleActions,
...exitActions,
];
return allActions;
}
The second step is to batch all sequential swaps together. This should minimise gas cost by making use of the batchSwap function. We use the batchSwapActions function to do this:
and it is essentially checking if subsequent swaps have the same source/destination – if they do then they can be batched together and the relevant assets and limits arrays are updated.
Each of the ordered actions are encoded to their relevant call data. And finally the Relayer multicall is encoded.
And here’s a full example showing how the new functions can be used:
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A relayer is a contract that is authorized by the protocol and users to make calls to the Vault on behalf of the users. It can use the sender’s ERC20 vault allowance, internal balance and BPTs on their behalf. Multiple actions (such as exit/join pools, swaps, etc) can be chained together which improves the UX.
For security reasons a Relayer has to be authorised by the Balancer DAO before it can be used (see previous votes for V1 and V2) and even after authorisation each user would still be required to opt into the relayer by submitting an approval transaction or signing a message.
Having the multicall single point of entry prevents reentrancy. The library contract cannot be called directly but the multicall can repeatedly delegatecall into the library code to perform a chain of actions.
Some psuedo code demonstrating how an authorisation, exitPool and swap can be chained and called via the multicall function:
A Relayer can also be approved by using the setRelayerApproval function from the BaseRelayerLibrary contract. Here a signed authorisation message from the user is passed as an input parameter. This allows an approval to be included at the start of a chain of actions so the user only needs to submit a single transaction creating a better UX.
Chained References
Output References allow the Relayer to store output values from once action which can then be read and used in another action. This allows us to chain together actions. For example we could exit a pool, save the exit amounts of each token to a reference and then do a batchSwap using the references as input amounts for each swap:
Where the key is the slot the value will be stored at. Index indicates which output amount should be stored. For example if exitPool exits to 3 tokens, DAI (index 0), USDC (1), USDT (2), we would want to use index 0 to store DAI, 1 for USDC, etc.
Example Use Case – Pool Migration
Intro
Balancer aims for the best capital efficiency for LPs so it made sense to offer the option to migrate from the old “staBal3” pool consisting of DAI, USDC and USDT to a new “boosted” stable pool which is more capital efficient because it uses yield bearing assets.
To migrate between these pools would take multiple steps:
unstake from staBal3 gauge → staBalBpt
exitPool from staBal, staBalBpt → DAI, USDC, USDT
join the bb-a-usd2 pool by using batchSwaps
DAI → bbausd2Bpt
USDC → bbausd2Bpt
USDT → bbausd2Bpt
stake bbausd2Bpt in gauge
This would be quite an ordeal for a user to do manually but the Relayer can be used to combine all these actions into a single transaction for the user.
Details
As this is a well defined one off action we decided to add this function to the SDK as a “Zap” under a Migrations module. The user can call the staBal3 function to get all the call data required to call the tx:
{ to, data } = migrations.stabal3(
userAddress,
staBal3Amount,
minBbausd2Out,
isStaked,
authorisationSignature
);
Behind the scenes all the call data for each step is crafted and the encoded multicall data is returned:
buildSetRelayerApproval allows the user to pass the approval signature if this is their first time using the relayer. This allows us to approve and execute the migration all in a single transaction.
buildWithdraw and buildDeposit handle the gauge actions. The initial call is to withdraw from the staBal gauge and the final call deposits the bbausd2 bpt into the new gauge. We withdraw directly to the Relayer address rather than the users. The gauges return the tokens to the caller, so sending them to the user costs more as we need to manually transfer them:
gauge.withdraw(amount);
// Gauge does not support withdrawing BPT to another address atomically.
// If intended recipient is not the relayer then forward the withdrawn BPT on to the recipient.
if (recipient != address(this)) {
IERC20 bptToken = gauge.lp_token();
bptToken.transfer(recipient, amount);
}
Skipping this has two benefits. Firstly it saves gas by avoiding an extra transfer. It also avoids approval issues as now the Relayer is just using its own funds. The final deposit uses the userAddress to send the staked tokens from the Relayer back to the user.
buildExit creates the exitPool call:
// Ask to store exit outputs for batchSwap of exit is used as input to swaps
const outputReferences = [
{ index: assetOrder.indexOf('DAI'), key: EXIT_DAI },
{ index: assetOrder.indexOf('USDC'), key: EXIT_USDC },
{ index: assetOrder.indexOf('USDT'), key: EXIT_USDT },
];
const callData = Relayer.constructExitCall({
assets,
minAmountsOut: ['0', '0', '0'],
userData,
toInternalBalance: true,
poolId: this.addresses.staBal3.id,
poolKind: 0, // This will always be 0 to match supported Relayer types
sender,
recipient: this.addresses.relayer,
outputReferences,
exitPoolRequest: {} as ExitPoolRequest,
});
Output references are used to store the final amounts of each stable token received from the pool. We have precomputed the keys by using the Relayer.toChainedReference helper, like:
Also of interest is the fact we set toInternalBalance to true. The Balancer V2 vault can accrue ERC20 token balances and keep track of them internally in order to allow extremely gas-efficient transfers and swaps. Exiting to internal balances before the swaps allows us to keep gas costs down.
Because we have previously exited into internal balances we also don’t have to worry about the users having previously approved the Relayer for the tokens:
if (fromInternalBalance) {
// We take as many tokens from Internal Balance as possible: any remaining amounts will be transferred.
uint256 deductedBalance = _decreaseInternalBalance(sender, token, amount, true);
// Because deductedBalance will be always the lesser of the current internal balance
// and the amount to decrease, it is safe to perform unchecked arithmetic.
amount -= deductedBalance;
}
if (amount > 0) {
token.safeTransferFrom(sender, address(this), amount);
}
so the amount will be 0 and the safeTransferFrom call will not be executed.
buildSwap – We can join bbausd2 using a swap thanks to the PhantomBpt concept so here we create a batchSwap call that swaps each stable token to the bbausdBpt and we use the output references from the exitPool call as the input amounts to the swap (which is great as we don’t need to precompute these).
This is used as an input to the final gauge deposit to make sure we stake all the BPT that we have received and that should conclude the migration! You can see this in action on a local fork (yay no real funds required!) by running the integration test here.
Conclusion
The Balancer Relayer is probably not that well known so hopefully this has given a good overview of some of its functionality and flexibility. There’s a lot of room for experimentation and improvement of UX for complex operations so its worth investigating!
The idea of adding this was to make accessing Balancer contracts easier for users. Normally you need to find and import ABIs and deal with deployment addresses, if we want to make it easy we should just remove that complexity.
Also we are trying to make the main SDK functions return the contract name and functions as part of the attributes returned. This means the user could then just call using something like:
Typechain is a package that provides TypeScript bindings for Ethereum contracts. This means functions are statically typed and there is also IDE support which makes things safer and easier to develop against.
Balancer has its own @balancer-labs/typechain package that exposes instances of the commononly used contracts. Adding this to the SDK means we can remove the need to import ABI jsons and we can now create instances of contracts by doing:
import {
Vault__factory
} from '@balancer-labs/typechain';
Vault__factory.connect(
this.networkConfig.addresses.contracts.vault,
provider
);
which will return a typed Vault contract.
Module
Uses BALANCER_NETWORK_CONFIG and config.network to find vault/lidoRelayer/multicall addresses.
Added contracts getter to SDK module:
constructor(
public config: BalancerSdkConfig,
public sor = new Sor(config),
public subgraph = new Subgraph(config),
public pools = new Pools(config),
public balancerContracts = new Contracts(config, sor.provider)
) { ... }
get contracts(): ContractInstances {
return this.balancerContracts.contracts;
}
One interesting discussion is the trade off of using the Contracts module within other modules. As of now only the Swaps and Multicaller modules using contracts. Using the Contracts module means we either have to pass Contracts in constructor, which adds an extra step if someone want to use modules independently:
const contracts = new Contracts(config)
const swaps = new Swaps(config, contracts)
or we instantiate Contracts within the module – which ends up happening twice if we use the high level SDK function as it is also instantiated there. For now we have decided to use the Typechain factories to instantiate the contracts within the module and will revisit in future if needed.
A big focus for Balancer Labs this year is to make it really easy to build on top of the protocol. To aid in that we’re putting together the `@balancer-labs/sdk npm package. As the current lead in this project I thought I’d try and document some of the work to help keep track of the changes, thought process and learning along the way. It’ll also be useful as a reminder of what’s going on!
SOR v2
Some background
We already have the Smart Order Router (@balancer-labs/sor), a package that devs can use to source the optimal routing for a swap using Balancer liquidity. It’s used in Balancers front-end and other projects like Copper and is a solver for Gnosis BGP. It’s also used in the Beethoven front-end (a Balancer friendly fork on Fantom, cool project and team and worth checking out).
The SOR is also used and exposed by the SDK. It’s core to making swaps accesible but is also used for joining/exiting Boosted Pools which uses PhantomBpt and swaps (a topic for another time I think!).
SOR Data
The diagram below shows some of the core parts of the SOR v2.
To choose the optimal routes for a swap the SOR needs information about the Balancer pools and the price of assets. And as we can see from the diagram the sourcing of this data is currently very tightly coupled to the SOR. Pools data is retrieved from the Subgraph and updated with on-chain balances using a multicall. And asset pricing is retrieved from CoinGecko.
Recently Beethoven experienced a pretty large growth spurt and found there were some major issues retrieving data from the Subgraph. They also correctly pointed out that CoinGecko doesn’t always have the asset pricing (especially on Fantom) and this information could be available from other sources.
After some discussions with Daniel (a very helpful dev from Beethoven) it was agreed that a good approach would be to refactor the SOR to create composability of data fetching so the user is able to have more control over where data is coming from. With this approach, the SOR doesn’t need to know anything about CoinGecko or the Subgraph and the data could now come from anywhere (database, cache, on chain, etc.), and as long as it implements the interface, the SOR will work properly.
Changes – SOR v3
I came back from Christmas break and Daniel had made all the changes – friendly forks for the win 💪! The interface changes are breaking but the improvements are worth it – SOR 3.0.0.
Config
The goal was to remove all the chain specific config from the SOR and pass it in as a constructor parameter. This helps to avoid non-scalable hard-coded values and encorages a single source of truth. It also gives more flexibility for the variables and makes the code easier to test.
The goal here is to allow for flexibility in defining where the pool data is fetched from. We define a generic PoolDataService that has a single function getPools, which serves as a generic interface for fetching pool data. This allows allow for any number of custom services to be used without having to change anything in the SOR or SDK.
Approaching it this way means all the Subgraph and on-chain/multicall fetching logic is removed from the SOR. These will be added to the Balancer SDK as stand-alone services. But as a simple example this is a PoolDataService that retrieves data from Subgraph:
The goal here is to allow for flexibility in defining where token prices are fetched from. We define a generic TokenPriceService that has a single function getNativeAssetPriceInToken. Similar to the PoolDataService this offers flexibility in the service that can be used, i.e. CoingeckoTokenPriceService or SubgraphTokenPriceService.
export interface TokenPriceService {
/**
* This should return the price of the native asset (ETH) in the token defined by tokenAddress.
* Example: BAL = $20 USD, ETH = $4,000 USD, then 1 ETH = 200 BAL. This function would return 200.
* @param tokenAddress
*/
getNativeAssetPriceInToken(tokenAddress: string): Promise<string>;
}
All the CoinGecko code is removed from the SOR (to be added to SDK). An example TokenPriceService using CoinGecko:
export class CoingeckoTokenPriceService implements TokenPriceService {
constructor(private readonly chainId: number) {}
public async getNativeAssetPriceInToken(
tokenAddress: string
): Promise<string> {
const ethPerToken = await this.getTokenPriceInNativeAsset(tokenAddress);
// We get the price of token in terms of ETH
// We want the price of 1 ETH in terms of the token base units
return `${1 / parseFloat(ethPerToken)}`;
}
/**
* @dev Assumes that the native asset has 18 decimals
* @param tokenAddress - the address of the token contract
* @returns the price of 1 ETH in terms of the token base units
*/
async getTokenPriceInNativeAsset(tokenAddress: string): Promise<string> {
const endpoint = `https://api.coingecko.com/api/v3/simple/token_price/${this.platformId}?contract_addresses=${tokenAddress}&vs_currencies=${this.nativeAssetId}`;
const response = await fetch(endpoint, {
headers: {
Accept: 'application/json',
'Content-Type': 'application/json',
},
});
const data = await response.json();
if (
data[tokenAddress.toLowerCase()][this.nativeAssetId] === undefined
) {
throw Error('No price returned from Coingecko');
}
return data[tokenAddress.toLowerCase()][this.nativeAssetId];
}
private get platformId(): string {
switch (this.chainId) {
case 1:
return 'ethereum';
case 42:
return 'ethereum';
case 137:
return 'polygon-pos';
case 42161:
return 'arbitrum-one';
}
return '2';
}
private get nativeAssetId(): string {
switch (this.chainId) {
case 1:
return 'eth';
case 42:
return 'eth';
case 137:
return '';
case 42161:
return 'eth';
}
return '';
}
}
Final Outcome
After the changes the updated diagram shows how the SOR is more focused and less opinionated:
The plan for the Balancer front-end is to move away from using the SOR directly and use it via the SDK package. The SDK will have the data fetching functionality as serparate services (which can be used independetly for fetching pools, etc) and these will be passed to the SOR when the SDK is instantiated. BUT it’s also possible to use the SOR independendtly as shown in this swapExample.
This was a large and breaking change but with the continued issues with Subgraph and more teams using the SOR/SDK it was a neccessary upgrade. Many thanks to Daniel from the Beethoven team for pushing this through!
And make sure test is in root/test/example.spec.ts
import { expect, assert } from 'chai';
import 'mocha';
import { Pool } from '../src/types';
import { smartOrderRouter } from '../src/sor';
import { BigNumber } from '../src/utils/bignumber';
import { getSpotPrice, BONE } from '../src/helpers';
const errorDelta = 10 ** -8;
function calcRelativeDiff(expected: BigNumber, actual: BigNumber): BigNumber {
return expected
.minus(actual)
.div(expected)
.abs();
}
// These example pools are taken from python-SOR SOR_method_comparison.py
let balancers: Pool[] = [
{
id: '0x165021F95EFB42643E9c3d8677c3430795a29806',
balanceIn: new BigNumber(1.341648768830377422).times(BONE),
balanceOut: new BigNumber(84.610322835523687996).times(BONE),
weightIn: new BigNumber(0.6666666666666666),
weightOut: new BigNumber(0.3333333333333333),
swapFee: new BigNumber(0.005).times(BONE),
},
{
id: '0x31670617b85451E5E3813E50442Eed3ce3B68d19',
balanceIn: new BigNumber(14.305796722007608821).times(BONE),
balanceOut: new BigNumber(376.662367824920653194).times(BONE),
weightIn: new BigNumber(0.6666666666666666),
weightOut: new BigNumber(0.3333333333333333),
swapFee: new BigNumber(0.000001).times(BONE),
},
];
describe('Two Pool Tests', () => {
it('should test spot price', () => {
var sp1 = getSpotPrice(balancers[0]);
var sp2 = getSpotPrice(balancers[1]);
// Taken form python-SOR, SOR_method_comparison.py
var sp1Expected = new BigNumber(7968240028251420);
var sp2Expected = new BigNumber(18990231371439040);
var relDif = calcRelativeDiff(sp1Expected, sp1);
assert.isAtMost(
relDif.toNumber(),
errorDelta,
'Spot Price Balancer 1 Incorrect'
);
relDif = calcRelativeDiff(sp2Expected, sp2);
assert.isAtMost(
relDif.toNumber(),
errorDelta,
'Spot Price Balancer 2 Incorrect'
);
});
it('should test two pool SOR swap amounts', () => {
var amountIn = new BigNumber(0.7).times(BONE);
var swaps = smartOrderRouter(
balancers,
'swapExactIn',
amountIn,
10,
new BigNumber(0)
);
// console.log(swaps[0].amount.div(BONE).toString())
// console.log(swaps[1].amount.div(BONE).toString())
assert.equal(swaps.length, 2, 'Should be two swaps for this example.');
// Taken form python-SOR, SOR_method_comparison.py
var expectedSwap1 = new BigNumber(635206783664651400);
var relDif = calcRelativeDiff(expectedSwap1, swaps[0].amount);
assert.isAtMost(relDif.toNumber(), errorDelta, 'First swap incorrect.');
var expectedSwap2 = new BigNumber(64793216335348570);
relDif = calcRelativeDiff(expectedSwap2, swaps[1].amount);
assert.isAtMost(
relDif.toNumber(),
errorDelta,
'Second swap incorrect.'
);
});
it('should test two pool SOR swap amounts highestEpNotEnough False branch.', () => {
var amountIn = new BigNumber(400).times(BONE);
var swaps = smartOrderRouter(
balancers,
'swapExactIn',
amountIn,
10,
new BigNumber(0)
);
// console.log(swaps[0].amount.div(BONE).toString())
// console.log(swaps[1].amount.div(BONE).toString())
assert.equal(swaps.length, 2, 'Should be two swaps for this example.');
assert.equal(
swaps[0].pool,
'0x31670617b85451E5E3813E50442Eed3ce3B68d19',
'First pool.'
);
assert.equal(
swaps[1].pool,
'0x165021F95EFB42643E9c3d8677c3430795a29806',
'Second pool.'
);
// Taken form python-SOR, SOR_method_comparison.py with input changed to 400
var expectedSwap1 = new BigNumber(326222020689680300000);
var relDif = calcRelativeDiff(expectedSwap1, swaps[0].amount);
assert.isAtMost(relDif.toNumber(), errorDelta, 'First swap incorrect.');
var expectedSwap2 = new BigNumber(73777979310319780000);
relDif = calcRelativeDiff(expectedSwap2, swaps[1].amount);
assert.isAtMost(
relDif.toNumber(),
errorDelta,
'Second swap incorrect.'
);
});
// Check case mentioned in Discord
});
Now to learn the basics of TypeScript. For this I’m using the React-TypeScript Cheatsheet and the first suggestion is to get familiar with TypeScript by following 2alitys guide which I’m working through next.