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How to use putTC method of regression Package

Best Keploy code snippet using regression.putTC

regression.go

Source:regression.go

...129	}130	r.tele.EditTc(r.client, ctx)131	return nil132}133func (r *Regression) putTC(ctx context.Context, cid string, t models.TestCase) (string, error) {134	t.CID = cid135	var err error136	if r.EnableDeDup {137		// check if already exists138		dup, err := r.isDup(ctx, &t)139		if err != nil {140			r.log.Error("failed to run deduplication on the testcase", zap.String("cid", cid), zap.String("appID", t.AppID), zap.Error(err))141			return "", errors.New("internal failure")142		}143		if dup {144			r.log.Info("found duplicate testcase", zap.String("cid", cid), zap.String("appID", t.AppID), zap.String("uri", t.URI))145			return "", nil146		}147	}148	err = r.tdb.Upsert(ctx, t)149	if err != nil {150		r.log.Error("failed to insert testcase into DB", zap.String("cid", cid), zap.String("appID", t.AppID), zap.Error(err))151		return "", errors.New("internal failure")152	}153	return t.ID, nil154}155func (r *Regression) Put(ctx context.Context, cid string, tcs []models.TestCase) ([]string, error) {156	var ids []string157	if len(tcs) == 0 {158		return ids, errors.New("no testcase to update")159	}160	for _, t := range tcs {161		id, err := r.putTC(ctx, cid, t)162		if err != nil {163			msg := "failed saving testcase"164			r.log.Error(msg, zap.Error(err), zap.String("cid", cid), zap.String("id", t.ID), zap.String("app", t.AppID))165			return ids, errors.New(msg)166		}167		ids = append(ids, id)168	}169	return ids, nil170}171func (r *Regression) test(ctx context.Context, cid, id, app string, resp models.HttpResp) (bool, *run.Result, *models.TestCase, error) {172	tc, err := r.tdb.Get(ctx, cid, id)173	if err != nil {174		r.log.Error("failed to get testcase from DB", zap.String("id", id), zap.String("cid", cid), zap.String("appID", app), zap.Error(err))175		return false, nil, nil, err...

putTC

Using AI Code Generation

1import (2func main() {3	r.SetObserved("Y")4	r.SetVar(0, "X")5	r.Train(regression.Data{6		X: []float64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10},7		Y: []float64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10},8	})9	r.Run()10	fmt.Printf("Regression Formula: %v11	fmt.Printf("Regression Formula: %v12	fmt.Printf("R2: %0.2f13	fmt.Printf("StdErr: %0.2f14}

putTC

Using AI Code Generation

1import (2func main() {3        r := regression.NewRegression()4        r.PutTC(1, 1)5        fmt.Println(r.GetTC(1))6        r.PutTC(2, 2)7        fmt.Println(r.GetTC(2))8        r.PutTC(3, 3)9        fmt.Println(r.GetTC(3))10}11import (12func main() {13        r := regression.NewRegression()14        r.PutTC(1, 1)15        fmt.Println(r.GetTC(1))16        r.PutTC(2, 2)17        fmt.Println(r.GetTC(2))18        r.PutTC(3, 3)19        fmt.Println(r.GetTC(3))20}21import (22func main() {23        r := regression.NewRegression()24        r.PutTC(1, 1)25        fmt.Println(r.GetTC(1))26        r.PutTC(2, 2)27        fmt.Println(r.GetTC(2))28        r.PutTC(3, 3)

putTC

Using AI Code Generation

1import "fmt"2func main() {3    var x = make([]float64, 3)4    var y = make([]float64, 3)5    var reg = make([]Regression, 1)6    reg[0] = NewRegression(x, y)7    var x1 = make([]float64, 3)8    var y1 = make([]float64, 3)9    reg[0].PutTC(x1, y1)10    fmt.Println(reg[0].Predict(4.0))11    fmt.Println(reg[0].Predict(5.0))12    fmt.Println(reg[0].Predict(6.0))13    fmt.Println(reg[0].Predict(7.0))14    fmt.Println(reg[0].Predict(8.0))15    fmt.Println(reg[0].Predict(9.0))16    fmt.Println(reg[0].Predict(10.0))17}18import "fmt"19func main() {20    var x = make([]float64, 3)21    var y = make([]float64, 3)22    var reg = make([]Regression, 1)23    reg[0] = NewRegression(x,

putTC

Using AI Code Generation

1import (2func main() {3	r := new(regression.Regression)4	r.SetObserved("y")5	r.SetVar(0, "x")6	r.Train(regression.Data{7		X: []float64{1, 2, 3, 4, 5},8		Y: []float64{5, 4, 3, 2, 1},9	})10	r.Train(regression.Data{11		X: []float64{1, 2, 3, 4, 5},12		Y: []float64{5, 4, 3, 2, 1},13	})14	r.Train(regression.Data{15		X: []float64{1, 2, 3, 4, 5},16		Y: []float64{5, 4, 3, 2, 1},17	})18	r.Train(regression.Data{19		X: []float64{1, 2, 3, 4, 5},20		Y: []float64{5, 4, 3, 2, 1},21	})22	r.Train(regression.Data{23		X: []float64{1, 2, 3, 4, 5},24		Y: []float64{5, 4, 3, 2, 1},25	})26	r.Train(regression.Data{27		X: []float64{1, 2, 3, 4, 5},28		Y: []float64{5, 4, 3, 2, 1},29	})30	r.Train(regression.Data{31		X: []float64{1, 2, 3, 4, 5},32		Y: []float64{5, 4, 3, 2, 1},33	})34	r.Train(regression.Data{35		X: []float64{1, 2, 3, 4, 5},36		Y: []float64{5, 4, 3, 2, 1},37	})38	r.Train(regression.Data{39		X: []float64{1, 2, 3, 4

putTC

Using AI Code Generation

1import (2func main() {3	r.Train(regression.DataPoint(2.5, 2.4))4	r.Train(regression.DataPoint(0.5, 0.7))5	r.Train(regression.DataPoint(2.2, 2.1))6	r.Train(regression.DataPoint(8.5, 7.5))7	r.Train(regression.DataPoint(3.5, 1.9))8	r.Train(regression.DataPoint(1.5, 0.6))9	r.Run()10	fmt.Printf("\nRegression formula:\n%v11	fmt.Printf("\nR2: %v12}

putTC

Using AI Code Generation

1import (2func main() {3	fmt.Println("Enter number of data points")4	fmt.Scanln(&num)5	fmt.Println("Enter the data points in format x1 y1 x2 y2 ...")6	reader := bufio.NewReader(os.Stdin)7	input, _ := reader.ReadString('8	input = strings.TrimSpace(input)9	data := strings.Split(input, " ")10	for i := 0; i < num*2; i += 2 {11		x1, _ := strconv.ParseFloat(data[i], 64)12		y1, _ := strconv.ParseFloat(data[i+1], 64)13		x = append(x, x1)14		y = append(y, y1)15	}16	reg.putTC(x, y)17	fmt.Println(reg)18}19import (20func main() {21	fmt.Println("Enter number of data points")22	fmt.Scanln(&num)23	fmt.Println("Enter the data points in format x1 y1 x2 y2 ...")24	reader := bufio.NewReader(os.Stdin)25	input, _ := reader.ReadString('26	input = strings.TrimSpace(input)27	data := strings.Split(input, " ")28	for i := 0; i < num*2; i += 2 {29		x1, _ := strconv.ParseFloat(data[i], 64)30		y1, _ := strconv.ParseFloat(data[i+1], 64)31		x = append(x, x1)32		y = append(y, y1)33	}34	reg.putTC(x, y)35	fmt.Println(reg)36}37import (38func main() {39	fmt.Println("Enter number of data points")40	fmt.Scanln(&num)41	fmt.Println("Enter the data points in format x1 y1 x2 y2 ...")42	reader := bufio.NewReader(os.Stdin)

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