bpi growth is also just compounding interest but ignore for now
parent
76aa4ff34a
commit
5a532bcf1b
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@ -24,8 +24,8 @@ func (deltas Deltas) Like(like ...Like) Deltas {
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return result
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}
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func (deltas Deltas) Register() map[string]Balances {
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dateToBalances := map[string]Balances{}
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func (deltas Deltas) Register() Register {
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dateToBalances := make(Register)
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for _, delta := range deltas {
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if _, ok := dateToBalances[delta.Date]; !ok {
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dateToBalances[delta.Date] = make(Balances)
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@ -3,56 +3,86 @@ package ledger
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import (
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"fmt"
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"io"
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"log"
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"maps"
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"regexp"
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"time"
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)
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func RegisterWithContributionPrediction(reg map[string]Balances, windowAsPercentOfTotalDuration float64) (map[string]Balances, error) {
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func RegisterWithContributionPrediction(reg Register, window time.Duration) (Register, error) {
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return reg, io.EOF
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}
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func BPIWithFixedGrowthPrediction(reg map[string]Balances, windowAsPercentOfTotalDuration float64, pattern string, rate float64) (map[string]Balances, error) {
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result := make(map[string]Balances)
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return result, io.EOF
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func BPIsWithFixedGrowthPrediction(bpis BPIs, window time.Duration, pattern string, apy float64) (BPIs, error) {
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last := map[Currency]struct {
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t string
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v float64
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}{}
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for currency, bpi := range bpis {
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for date, value := range bpi {
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if date > last[currency].t {
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was := last[currency]
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was.t = date
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was.v = value
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last[currency] = was
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}
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}
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}
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result := make(BPIs)
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p := regexp.MustCompile(pattern)
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for currency, v := range bpis {
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result[currency] = maps.Clone(v)
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if p.MatchString(string(currency)) {
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for _, predictionTime := range predictionTimes(window) {
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k2 := predictionTime.Format("2006-01")
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was := last[currency]
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was.v *= 1.0 + apy
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result[currency][k2] = was.v
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last[currency] = was
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}
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}
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}
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return result, nil
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}
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func RegisterWithCompoundingInterestPrediction(reg map[string]Balances, windowAsPercentOfTotalDuration float64, pattern string, rate float64) (map[string]Balances, error) {
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nameToLastDate := func() map[string]string {
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result := map[string]string{}
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for date, balances := range reg {
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for name := range balances {
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if result[name] < date {
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result[name] = date
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}
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func RegisterWithCompoundingInterestPrediction(reg Register, window time.Duration, pattern string, apy float64) (Register, error) {
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lastBalances := make(Balances)
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p := regexp.MustCompile(pattern)
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for _, date := range reg.Dates() {
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for name := range reg[date] {
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if p.MatchString(name) {
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lastBalances[name] = reg[date][name]
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}
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}
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return result
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}()
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firstTime, lastTime := func() (time.Time, time.Time) {
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var latest time.Time
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first := time.Now()
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for _, v := range nameToLastDate {
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v2, _ := dateToTime(v)
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if latest.Before(v2) {
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latest = v2
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}
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if first.Before(v2) {
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first = v2
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}
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}
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return first, latest
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}()
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log.Println("first", firstTime, "last time", lastTime, "nameToDate", nameToLastDate)
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lastPrediction := lastTime
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for lastPrediction.Before(lastTime.Add(lastTime.Sub(firstTime) * time.Duration(windowAsPercentOfTotalDuration))) {
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lastPrediction = lastPrediction.Add(time.Hour * 24 * (45 - lastPrediction.Day()))
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TODO ^
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}
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result := maps.Clone(reg)
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return result, io.EOF
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for _, predictionTime := range predictionTimes(window) {
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k := predictionTime.Format("2006-01")
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if _, ok := result[k]; !ok {
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result[k] = make(Balances)
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}
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for name, balance := range lastBalances {
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balance2 := maps.Clone(balance)
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for k := range balance2 {
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balance2[k] *= 1.0 + (apy / 12)
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}
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result[k][name] = balance2
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lastBalances[name] = balance2
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}
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}
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return result, nil
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}
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func predictionTimes(window time.Duration) []time.Time {
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result := []time.Time{}
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last := time.Now()
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for last.Before(time.Now().Add(window)) {
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last = last.Add(-1 * time.Hour * 24 * time.Duration(last.Day())).Add(time.Hour * 24 * 33)
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result = append(result, last)
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}
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return result
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}
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func dateToTime(s string) (time.Time, error) {
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@ -1,14 +1,16 @@
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package ledger
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import (
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"slices"
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"testing"
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"time"
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)
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func TestRegisterPrediction(t *testing.T) {
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t.Run("contribution", func(t *testing.T) {
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input := newTestRegister()
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got, err := RegisterWithContributionPrediction(input, .12)
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got, err := RegisterWithContributionPrediction(input, time.Hour*24*365)
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if err != nil {
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t.Fatal(err)
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}
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@ -26,7 +28,7 @@ func TestRegisterPrediction(t *testing.T) {
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t.Run("compounding interest", func(t *testing.T) {
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input := newTestRegister()
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got, err := RegisterWithCompoundingInterestPrediction(input, 1, "X", .04)
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got, err := RegisterWithCompoundingInterestPrediction(input, time.Hour*24*365, "X", .04)
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if err != nil {
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t.Fatal(err)
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}
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@ -35,13 +37,38 @@ func TestRegisterPrediction(t *testing.T) {
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if len(got) <= len(input) {
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t.Error(len(got))
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}
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t.Error("not impl")
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for _, date := range got.Dates() {
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for name, balance := range got[date] {
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t.Logf("%s | %s %s", date, name, balance.Debug())
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}
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}
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})
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}
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func TestBPIPrediction(t *testing.T) {
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t.Run("fixed growth", func(t *testing.T) {
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t.Error("not impl")
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bpis := BPIs{
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USD: BPI{
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"2001-01": -1000,
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"2001-02": 100,
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},
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}
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got, err := BPIsWithFixedGrowthPrediction(bpis, time.Hour*24*365, string(USD), 0.06)
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if err != nil {
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t.Fatal(err)
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}
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dates := []string{}
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for d := range got[USD] {
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dates = append(dates, d)
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}
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slices.Sort(dates)
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for _, d := range dates {
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t.Logf("%s | %s %.2f", USD, d, got[USD][d])
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}
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})
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}
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@ -0,0 +1,43 @@
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package ledger
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import (
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"slices"
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"time"
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)
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type Register map[string]Balances
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func (register Register) Names() []string {
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names := map[string]int{}
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for _, v := range register {
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for name := range v {
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names[name] = 1
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}
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}
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result := make([]string, 0, len(register))
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for k := range names {
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result = append(result, k)
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}
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slices.Sort(result)
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return result
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}
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func (register Register) Dates() []string {
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result := make([]string, 0, len(register))
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for k := range register {
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result = append(result, k)
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}
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slices.Sort(result)
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return result
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}
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func (register Register) Times() []time.Time {
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dates := register.Dates()
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result := make([]time.Time, len(dates))
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for i := range dates {
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v, _ := dateToTime(dates[i])
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result[i] = v
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}
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return result
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}
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