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How to use GetTC method of regression Package

Best Keploy code snippet using regression.GetTC

regression.go

Source:regression.go

...17func New(r chi.Router, logger *zap.Logger, svc regression2.Service, run run.Service) {18	s := &regression{logger: logger, svc: svc, run: run}19	r.Route("/regression", func(r chi.Router) {20		r.Route("/testcase", func(r chi.Router) {21			r.Get("/{id}", s.GetTC)22			r.Get("/", s.GetTCS)23			r.Post("/", s.PostTC)24		})25		r.Post("/test", s.Test)26		r.Post("/denoise", s.DeNoise)27		r.Get("/start", s.Start)28		r.Get("/end", s.End)29		//r.Get("/search", searchArticles)                                  // GET /articles/search30	})31}32type regression struct {33	logger *zap.Logger34	svc    regression2.Service35	run    run.Service36}37func (rg *regression) End(w http.ResponseWriter, r *http.Request) {38	id := r.URL.Query().Get("id")39	status := run.TestRunStatus(r.URL.Query().Get("status"))40	stat := run.TestRunStatusFailed41	if status == "true" {42		stat = run.TestRunStatusPassed43	}44	now := time.Now().Unix()45	err := rg.run.Put(r.Context(), run.TestRun{46		ID:      id,47		Updated: now,48		Status:  stat,49	})50	if err != nil {51		render.Render(w, r, ErrInvalidRequest(err))52		return53	}54	render.Status(r, http.StatusOK)55}56func (rg *regression) Start(w http.ResponseWriter, r *http.Request) {57	t := r.URL.Query().Get("total")58	total, err := strconv.Atoi(t)59	if err != nil {60		render.Render(w, r, ErrInvalidRequest(err))61		return62	}63	app := rg.getMeta(w, r, true)64	if app == "" {65		return66	}67	id := uuid.New().String()68	now := time.Now().Unix()69	// user := "default"70	err = rg.run.Put(r.Context(), run.TestRun{71		ID:      id,72		Created: now,73		Updated: now,74		Status:  run.TestRunStatusRunning,75		CID:     graph.DEFAULT_COMPANY,76		App:     app,77		User:    graph.DEFAULT_USER,78		Total:   total,79	})80	if err != nil {81		render.Render(w, r, ErrInvalidRequest(err))82		return83	}84	render.Status(r, http.StatusOK)85	render.JSON(w, r, map[string]string{86		"id": id,87	})88}89func (rg *regression) GetTC(w http.ResponseWriter, r *http.Request) {90	id := chi.URLParam(r, "id")91	app := rg.getMeta(w, r, false)92	tcs, err := rg.svc.Get(r.Context(), graph.DEFAULT_COMPANY, app, id)93	if err != nil {94		render.Render(w, r, ErrInvalidRequest(err))95		return96	}97	render.Status(r, http.StatusOK)98	render.JSON(w, r, tcs)99}100func (rg *regression) getMeta(w http.ResponseWriter, r *http.Request, appRequired bool) string {101	app := r.URL.Query().Get("app")102	if app == "" && appRequired {103		rg.logger.Error("request for fetching testcases should include app id")104		render.Render(w, r, ErrInvalidRequest(errors.New("missing app id")))105		return ""106	}107	return app108}109func (rg *regression) GetTCS(w http.ResponseWriter, r *http.Request) {110	app := rg.getMeta(w, r, true)111	if app == "" {112		return113	}114	offsetStr := r.URL.Query().Get("offset")115	limitStr := r.URL.Query().Get("limit")116	var (117		offset int118		limit  int119		err    error120	)121	if offsetStr != "" {122		offset, err = strconv.Atoi(offsetStr)123		if err != nil {...

GetTC

Using AI Code Generation

1import (2func main() {3	r.SetObserved("y")4	r.SetVar(0, "x")5	r.Train(6		regression.DataPoint(2.5, []float64{1}, []string{"x"}),7		regression.DataPoint(0.5, []float64{2}, []string{"x"}),8		regression.DataPoint(2.2, []float64{3}, []string{"x"}),9		regression.DataPoint(0.8, []float64{4}, []string{"x"}),10		regression.DataPoint(1.4, []float64{5}, []string{"x"}),11	r.Run()12	fmt.Printf("\nRegression Formula:\n%v\n", r.Formula)13}

GetTC

Using AI Code Generation

1import (2type Regression struct {3}4func (r Regression) GetTC() (float64, float64) {5	for i := 0; i < len(r.X); i++ {6	}7	tc = (float64(len(r.X))*sumXY - sumX*sumY) / (math.Sqrt(float64(len(r.X))*sumX2-sumX*sumX) * math.Sqrt(float64(len(r.X))*sumY2-sumY*sumY))8}9func main() {10	r.X = make([]float64, 100)11	r.Y = make([]float64, 100)12	rand.Seed(time.Now().UnixNano())13	for i := 0; i < 100; i++ {14		r.X[i] = rand.Float64()15		r.Y[i] = rand.Float64()16	}17	tc, _ := r.GetTC()18	fmt.Println(tc)19}20import (21func TestGetTC(t *testing.T) {22	r.X = make([]float64, 100)23	r.Y = make([]float64, 100)24	for i := 0; i < 100; i++ {25		r.X[i] = float64(i)26		r.Y[i] = float64(i)27	}28	tc, _ := r.GetTC()29	if math.Abs(tc-1) > 1e-5 {30		t.Error("Expected 1, got ", tc)31	}32}33import (34type Regression struct {35}36func (r Regression) GetTC() (float64,

GetTC

Using AI Code Generation

1import (2func main() {3	x := []float64{1, 2, 3, 4, 5, 6, 7, 8, 9}4	y := []float64{2, 4, 6, 8, 10, 12, 14, 16, 18}5	r := regression.Regression{}6	r.SetX(x)7	r.SetY(y)8	r.Calculate()9	fmt.Printf("Regression Parameters: %v\n", r.GetTC())10}

GetTC

Using AI Code Generation

1import (2func main() {3	x = []float64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}4	y = []float64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}5	reg := regression.Regression{}6	reg.SetData(x, y)7	fmt.Println(reg.GetTC())8}9import (10func main() {11	x = []float64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}12	y = []float64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}13	reg := regression.Regression{}14	reg.SetData(x, y)15	fmt.Println(reg.GetTC())16}17import (18func main() {19	x = []float64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}20	y = []float64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}21	reg := regression.Regression{}22	reg.SetData(x, y)23	fmt.Println(reg.GetTC())24}25import (26func main() {27	x = []float64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}

GetTC

Using AI Code Generation

1import (2func main() {3	x := []float64{1, 2, 3, 4, 5, 6, 7, 8, 9, 10}4	y := []float64{2, 4, 6, 8, 10, 12, 14, 16, 18, 20}5	reg := regression.Regression{}6	reg.AddData(x, y)7	reg.CalculateRegression()8	fmt.Println(reg.GetEquation())9	fmt.Println(reg.GetR2())10	fmt.Println(reg.GetTC())11}12[ajaymathur](

GetTC

Using AI Code Generation

1import (2func main() {3	fmt.Println("Hello World")4	x := []float64{0.0, 1.0, 2.0, 3.0, 4.0}5	y := []float64{0.0, 1.0, 2.0, 3.0, 4.0}6	r := regression.NewRegression(x, y, 1)7	fmt.Println(r.GetTC())8}

GetTC

Using AI Code Generation

1import (2type Regression struct {3}4func (r *Regression) Correlation() float64 {5	meanx := r.Mean(r.X)6	meany := r.Mean(r.Y)7	stdx := r.StdDev(r.X)8	stdy := r.StdDev(r.Y)9	for i := 0; i < len(r.X); i++ {10		sum += (r.X[i] - meanx) * (r.Y[i] - meany)11	}12	r.r = sum / (float64(len(r.X)) * stdx * stdy)13}14func (r *Regression) Mean(data []float64) float64 {15	for _, v := range data {16	}17	return sum / float64(len(data))18}19func (r *Regression) StdDev(data []float64) float64 {20	mean := r.Mean(data)21	for _, v := range data {22		sum += (v - mean) * (v - mean)23	}24	return math.Sqrt(sum / float64(len(data)))25}26func (r *Regression) Slope() float64 {27	meanx := r.Mean(r.X)28	meany := r.Mean(r.Y)29	stdx := r.StdDev(r.X)30	stdy := r.StdDev(r.Y)31	r.b = r.r * (stdy / stdx)32}33func (r *Regression) Intercept() float64 {

GetTC

Using AI Code Generation

1import (2func GetTC(x []float64, y []float64) float64 {3	r.SetObserved("y")4	r.SetVar(0, "x")5	for i, v := range x {6		r.Train(regression.DataPoint(y[i], []float64{v}))7	}8	r.Run()9	return r.Coeff(1)10}11func GetTC2(x []float64, y []float64) float64 {12	r.SetObserved("y")13	r.SetVar(0, "x")14	for i, v := range x {15		r.Train(regression.DataPoint(y[i], []float64{v}))16	}17	r.Run()18	return r.Coeff(1)19}20func GetTC3(x []float64, y []float64) float64 {21	r.SetObserved("y")22	r.SetVar(0, "x")23	for i, v := range x {24		r.Train(regression.DataPoint(y[i], []float64{v}))25	}26	r.Run()

GetTC

Using AI Code Generation

1import (2func main() {3	r := regression.NewRegression()4	data, err := r.LoadData("data.csv")5	if err != nil {6		fmt.Println("Error in loading data: ", err)7	}8	r.SetData(data)9	tc := r.GetTC(3.5)10	fmt.Println("TC value for time 3.5 is: ", tc)11}

GetTC

Using AI Code Generation

1import (2func main() {3	r.SetObserved("y")4	r.SetVar(0, "x")5	r.SetVar(1, "z")6	r.Train(regression.DataPoint(3.0, []float64{1, 1}, 1))7	r.Train(regression.DataPoint(2.0, []float64{2, 2}, 1))8	r.Train(regression.DataPoint(1.0, []float64{3, 3}, 1))9	r.Train(regression.DataPoint(6.0, []float64{1, 1}, 2))10	r.Train(regression.DataPoint(5.0, []float64{2, 2}, 2))11	r.Train(regression.DataPoint(4.0, []float64{3, 3}, 2))12	r.Run()13	fmt.Println(r.GetTC(1))14}

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