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This pull request adds the report tool and modifies the loadtime libraries to better support its use.
(cherry picked from commit 8655080a0f)
Co-authored-by: William Banfield <4561443+williambanfield@users.noreply.github.com>
This commit is contained in:
co-authored by
William Banfield
parent
6ed1bb96d7
commit
d9fd26ce93
@@ -0,0 +1,153 @@
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package report
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import (
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"math"
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"sync"
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"time"
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"github.com/tendermint/tendermint/test/loadtime/payload"
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"github.com/tendermint/tendermint/types"
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"gonum.org/v1/gonum/stat"
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)
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// BlockStore defines the set of methods needed by the report generator from
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// Tendermint's store.Blockstore type. Using an interface allows for tests to
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// more easily simulate the required behavior without having to use the more
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// complex real API.
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type BlockStore interface {
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Height() int64
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Base() int64
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LoadBlock(int64) *types.Block
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}
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// Report contains the data calculated from reading the timestamped transactions
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// of each block found in the blockstore.
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type Report struct {
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Max, Min, Avg, StdDev time.Duration
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// ErrorCount is the number of parsing errors encountered while reading the
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// transaction data. Parsing errors may occur if a transaction not generated
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// by the payload package is submitted to the chain.
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ErrorCount int
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// NegativeCount is the number of negative durations encountered while
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// reading the transaction data. A negative duration means that
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// a transaction timestamp was greater than the timestamp of the block it
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// was included in and likely indicates an issue with the experimental
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// setup.
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NegativeCount int
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// All contains all data points gathered from all valid transactions.
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// The order of the contents of All is not guaranteed to be match the order of transactions
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// in the chain.
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All []time.Duration
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}
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// GenerateFromBlockStore creates a Report using the data in the provided
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// BlockStore.
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func GenerateFromBlockStore(s BlockStore) (Report, error) {
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type payloadData struct {
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l time.Duration
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err error
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}
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type txData struct {
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tx []byte
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bt time.Time
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}
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// Deserializing to proto can be slow but does not depend on other data
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// and can therefore be done in parallel.
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// Deserializing in parallel does mean that the resulting data is
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// not guaranteed to be delivered in the same order it was given to the
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// worker pool.
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const poolSize = 16
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txc := make(chan txData)
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pdc := make(chan payloadData, poolSize)
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wg := &sync.WaitGroup{}
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wg.Add(poolSize)
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for i := 0; i < poolSize; i++ {
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go func() {
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defer wg.Done()
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for b := range txc {
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p, err := payload.FromBytes(b.tx)
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if err != nil {
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pdc <- payloadData{err: err}
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continue
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}
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l := b.bt.Sub(p.Time.AsTime())
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pdc <- payloadData{l: l}
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}
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}()
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}
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go func() {
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wg.Wait()
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close(pdc)
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}()
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r := Report{
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Max: 0,
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Min: math.MaxInt64,
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}
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var sum int64
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go func() {
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base, height := s.Base(), s.Height()
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prev := s.LoadBlock(base)
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for i := base + 1; i < height; i++ {
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// Data from two adjacent block are used here simultaneously,
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// blocks of height H and H+1. The transactions of the block of
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// height H are used with the timestamp from the block of height
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// H+1. This is done because the timestamp from H+1 is calculated
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// by using the precommits submitted at height H. The timestamp in
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// block H+1 represents the time at which block H was committed.
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//
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// In the (very unlikely) event that the very last block of the
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// chain contains payload transactions, those transactions will not
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// be used in the latency calculations because the last block whose
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// transactions are used is the block one before the last.
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cur := s.LoadBlock(i)
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for _, tx := range prev.Data.Txs {
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txc <- txData{tx: tx, bt: cur.Time}
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}
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prev = cur
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}
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close(txc)
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}()
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for pd := range pdc {
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if pd.err != nil {
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r.ErrorCount++
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continue
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}
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r.All = append(r.All, pd.l)
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if pd.l > r.Max {
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r.Max = pd.l
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}
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if pd.l < r.Min {
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r.Min = pd.l
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}
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if int64(pd.l) < 0 {
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r.NegativeCount++
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}
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// Using an int64 here makes an assumption about the scale and quantity of the data we are processing.
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// If all latencies were 2 seconds, we would need around 4 billion records to overflow this.
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// We are therefore assuming that the data does not exceed these bounds.
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sum += int64(pd.l)
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}
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if len(r.All) == 0 {
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r.Min = 0
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return r, nil
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}
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r.Avg = time.Duration(sum / int64(len(r.All)))
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r.StdDev = time.Duration(int64(stat.StdDev(toFloat(r.All), nil)))
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return r, nil
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}
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func toFloat(in []time.Duration) []float64 {
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r := make([]float64, len(in))
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for i, v := range in {
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r[i] = float64(int64(v))
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}
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return r
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}
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@@ -0,0 +1,114 @@
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package report_test
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import (
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"testing"
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"time"
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"github.com/tendermint/tendermint/test/loadtime/payload"
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"github.com/tendermint/tendermint/test/loadtime/report"
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"github.com/tendermint/tendermint/types"
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"google.golang.org/protobuf/types/known/timestamppb"
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)
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type mockBlockStore struct {
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base int64
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blocks []*types.Block
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}
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func (m *mockBlockStore) Height() int64 {
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return m.base + int64(len(m.blocks))
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}
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func (m *mockBlockStore) Base() int64 {
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return m.base
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}
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func (m *mockBlockStore) LoadBlock(i int64) *types.Block {
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return m.blocks[i-m.base]
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}
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func TestGenerateReport(t *testing.T) {
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t1 := time.Now()
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b1, err := payload.NewBytes(&payload.Payload{
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Time: timestamppb.New(t1.Add(-10 * time.Second)),
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Size: 1024,
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})
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if err != nil {
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t.Fatalf("generating payload %s", err)
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}
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b2, err := payload.NewBytes(&payload.Payload{
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Time: timestamppb.New(t1.Add(-4 * time.Second)),
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Size: 1024,
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})
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if err != nil {
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t.Fatalf("generating payload %s", err)
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}
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b3, err := payload.NewBytes(&payload.Payload{
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Time: timestamppb.New(t1.Add(2 * time.Second)),
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Size: 1024,
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})
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t2 := t1.Add(time.Second)
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if err != nil {
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t.Fatalf("generating payload %s", err)
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}
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s := &mockBlockStore{
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blocks: []*types.Block{
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{
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Data: types.Data{
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Txs: []types.Tx{b1, b2},
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},
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},
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{
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// The timestamp from block H+1 is used to calculate the
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// latency for the transactions in block H.
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Header: types.Header{
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Time: t1,
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},
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Data: types.Data{
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Txs: []types.Tx{[]byte("error")},
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},
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},
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{
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Data: types.Data{
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Txs: []types.Tx{b3, b3},
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},
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},
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{
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Header: types.Header{
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Time: t2,
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},
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Data: types.Data{
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Txs: []types.Tx{},
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},
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},
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},
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}
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r, err := report.GenerateFromBlockStore(s)
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if err != nil {
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t.Fatalf("generating report %s", err)
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}
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if len(r.All) != 4 {
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t.Fatalf("report contained different number of data points from expected. Expected %d but contained %d", 4, len(r.All))
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}
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if r.ErrorCount != 1 {
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t.Fatalf("ErrorCount did not match expected. Expected %d but contained %d", 1, r.ErrorCount)
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}
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if r.NegativeCount != 2 {
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t.Fatalf("NegativeCount did not match expected. Expected %d but contained %d", 2, r.NegativeCount)
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}
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if r.Avg != 3*time.Second {
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t.Fatalf("Avg did not match expected. Expected %s but contained %s", 3*time.Second, r.Avg)
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}
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if r.Min != -time.Second {
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t.Fatalf("Min did not match expected. Expected %s but contained %s", time.Second, r.Min)
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}
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if r.Max != 10*time.Second {
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t.Fatalf("Max did not match expected. Expected %s but contained %s", 10*time.Second, r.Max)
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}
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// Verified using online standard deviation calculator:
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// https://www.calculator.net/standard-deviation-calculator.html?numberinputs=10%2C+4%2C+-1%2C+-1&ctype=s&x=45&y=12
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expectedStdDev := 5228129047 * time.Nanosecond
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if r.StdDev != expectedStdDev {
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t.Fatalf("StdDev did not match expected. Expected %s but contained %s", expectedStdDev, r.StdDev)
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}
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}
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