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simulation_in_mem_test.go
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simulation_in_mem_test.go
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package simulation
import (
"testing"
"time"
"github.com/ten-protocol/go-ten/integration"
"github.com/ten-protocol/go-ten/integration/ethereummock"
"github.com/ten-protocol/go-ten/integration/simulation/network"
"github.com/ten-protocol/go-ten/integration/simulation/params"
)
// This test creates a network of in memory L1 and L2 nodes, then injects transactions, and finally checks the resulting output blockchain.
// Running it long enough with various parameters will test many corner cases without having to explicitly write individual tests for them.
// The unit of time is the "AvgBlockDuration" - which is the average time between L1 blocks, which are the carriers of rollups.
// Everything else is reported to this value. This number has to be adjusted in conjunction with the number of nodes. If it's too low,
// the CPU usage will be very high during the simulation which might give inconclusive results.
func TestInMemoryMonteCarloSimulation(t *testing.T) {
setupSimTestLog("in-mem")
// todo (#718) - try increasing this back to 7 once faster-finality model is optimised
numberOfNodes := 5
numberOfSimWallets := 10
wallets := params.NewSimWallets(numberOfSimWallets, numberOfNodes, integration.EthereumChainID, integration.TenChainID)
simParams := params.SimParams{
NumberOfNodes: numberOfNodes,
// todo (#718) - try reducing this back to 50 milliseconds once faster-finality model is optimised
AvgBlockDuration: 180 * time.Millisecond,
SimulationTime: 45 * time.Second,
L1EfficiencyThreshold: 0.2,
MgmtContractLib: ethereummock.NewMgmtContractLibMock(),
ERC20ContractLib: ethereummock.NewERC20ContractLibMock(),
Wallets: wallets,
StartPort: integration.StartPortSimulationInMem,
IsInMem: true,
L1TenData: ¶ms.L1TenData{},
ReceiptTimeout: 5 * time.Second,
StoppingDelay: 15 * time.Second,
NodeWithInboundP2PDisabled: 2,
}
simParams.AvgNetworkLatency = simParams.AvgBlockDuration / 15
testSimulation(t, network.NewBasicNetworkOfInMemoryNodes(), &simParams)
}