How to use PostTC method of regression Package

Best Keploy code snippet using regression.PostTC

regression.go

Source:regression.go

...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 {124			rg.logger.Error("request for fetching testcases in converting offset to integer")125		}126	}127	if limitStr != "" {128		limit, err = strconv.Atoi(limitStr)129		if err != nil {130			rg.logger.Error("request for fetching testcases in converting limit to integer")131		}132	}133	tcs, err := rg.svc.GetAll(r.Context(), graph.DEFAULT_COMPANY, app, &offset, &limit)134	if err != nil {135		render.Render(w, r, ErrInvalidRequest(err))136		return137	}138	render.Status(r, http.StatusOK)139	render.JSON(w, r, tcs)140}141func (rg *regression) PostTC(w http.ResponseWriter, r *http.Request) {142	// key := r.Header.Get("key")143	// if key == "" {144	// 	rg.logger.Error("missing api key")145	// 	render.Render(w, r, ErrInvalidRequest(errors.New("missing api key")))146	// 	return147	// }148	data := &TestCaseReq{}149	if err := render.Bind(r, data); err != nil {150		rg.logger.Error("error parsing request", zap.Error(err))151		render.Render(w, r, ErrInvalidRequest(err))152		return153	}154	// rg.logger.Debug("testcase posted",zap.Any("testcase request",data))155	now := time.Now().UTC().Unix()...

PostTC

Using AI Code Generation

1import (2func main() {3	r := new(regression.Regression)4	r.SetObserved("Y")5	r.SetVar(0, "X1")6	r.SetVar(1, "X2")7	r.Train(8		regression.DataPoint(2.5, []float64{1, 1}, []float64{2.4}),9		regression.DataPoint(0.5, []float64{2, 1}, []float64{0.7}),10		regression.DataPoint(2.2, []float64{1, 3}, []float64{2.9}),11		regression.DataPoint(0.9, []float64{1, 4}, []float64{1.2}),12	r.Run()13	fmt.Printf("Regression Formula:\n%v14	fmt.Printf("R2: %v15}

PostTC

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.DataPoint(2.5, []float64{1}, []string{"Y"}, []string{"X"}))7	r.Train(regression.DataPoint(0.5, []float64{2}, []string{"Y"}, []string{"X"}))8	r.Train(regression.DataPoint(2.2, []float64{3}, []string{"Y"}, []string{"X"}))9	r.Train(regression.DataPoint(0.9, []float64{4}, []string{"Y"}, []string{"X"}))10	r.Train(regression.DataPoint(3.0, []float64{5}, []string{"Y"}, []string{"X"}))11	r.Run()12	fmt.Printf("Regression Formula:\n%v13	fmt.Printf("R2: %v14}15import (16func main() {17	r := new(regression.Regression)18	r.SetObserved("Y")19	r.SetVar(0, "X")20	r.Train(regression.DataPoint(2.5, []float64{1}, []string{"Y"}, []string{"X"}))21	r.Train(regression.DataPoint(0.5, []float64{2}, []string{"Y"}, []string{"X"}))22	r.Train(regression.DataPoint(2.2, []float64{3}, []string{"Y"}, []string{"X"}))23	r.Train(regression.DataPoint(0.9, []float64{4}, []string{"Y"}, []string{"X"}))24	r.Train(regression.DataPoint(3.0, []float64{5}, []string{"Y"}, []

PostTC

Using AI Code Generation

1import (2func main() {3    r := new(regression.Regression)4    r.SetObserved("y")5    r.SetVar(0, "x1")6    r.SetVar(1, "x2")7    r.SetVar(2, "x3")8    data := mat64.NewDense(3, 4, []float64{9    })10    r.Train(data)11    fmt.Printf("Predicted %v12", r.Predict([]float64{1, 2, 3}))13    fmt.Printf("Predicted %v14", r.Predict([]float64{2, 4, 6}))15    fmt.Printf("Predicted %v16", r.Predict([]float64{3, 6, 9}))17}18import (19func main() {20    r := new(regression.Regression)21    r.SetObserved("y")22    r.SetVar(0

PostTC

Using AI Code Generation

1import (2func main() {3	f, err := os.Open("data.csv")4	if err != nil {5		log.Fatal(err)6	}7	defer f.Close()8	r := new(regression.Regression)9	r.SetObserved("MPG")10	r.SetVar(0, "Cylinders")11	r.SetVar(1, "Displacement")12	r.SetVar(2, "Horsepower")13	r.SetVar(3, "Weight")14	r.SetVar(4, "Acceleration")15	r.SetVar(5, "Model Year")16	r.SetVar(6, "Origin")17	if err := r.Train(regression.DataCSV(f)); err != nil {18		log.Fatal(err)19	}20	fmt.Printf("Actual: %f, Predicted: %f21", 18.0, r.Predict([]float64{8, 307, 130, 3504, 12, 70, 1}))22	fmt.Printf("Actual: %f, Predicted: %f23", 16.0, r.Predict([]float64{8, 350, 165, 3693, 11.5, 70, 1}))24}25import (26func main() {27	f, err := os.Open("data.csv")28	if err != nil {29		log.Fatal(err)30	}31	defer f.Close()32	r := new(regression.Regression)33	r.SetObserved("MPG")34	r.SetVar(0, "Cylinders")35	r.SetVar(1, "Displacement")36	r.SetVar(2, "Horsepower")37	r.SetVar(3, "Weight")38	r.SetVar(4, "Acceleration")39	r.SetVar(5, "Model Year")40	r.SetVar(6, "Origin")41	if err := r.Train(regression.DataCSV(f)); err != nil {42		log.Fatal(err)43	}44	fmt.Printf("Actual:

PostTC

Using AI Code Generation

1import (2func main() {3	r := new(regression.Regression)4	r.SetObserved("Y")5	r.SetVar(0, "X1")6	r.SetVar(1, "X2")7	r.SetVar(2, "X3")8	r.SetVar(3, "X4")9	r.SetVar(4, "X5")10	r.SetVar(5, "X6")11	r.SetVar(6, "X7")12	r.SetVar(7, "X8")13	r.SetVar(8, "X9")14	r.SetVar(9, "X10")15	r.SetVar(10, "X11")16	r.SetVar(11, "X12")17	r.SetVar(12, "X13")18	r.SetVar(13, "X14")19	r.SetVar(14, "X15")20	r.SetVar(15, "X16")21	r.SetVar(16, "X17")22	r.SetVar(17, "X18")23	r.SetVar(18, "X19")24	r.SetVar(19, "X20")25	r.SetVar(20, "X21")26	r.SetVar(21, "X22")27	r.SetVar(22, "X23")28	r.SetVar(23, "X24")29	r.SetVar(24, "X25")30	r.SetVar(25, "X26")31	r.SetVar(26, "X27")32	r.SetVar(27, "X28")33	r.SetVar(28, "X29")34	r.SetVar(29, "X30")35	r.SetVar(30, "X31")36	r.SetVar(31, "X32")37	r.SetVar(32, "X33")38	r.SetVar(33, "X34")39	r.SetVar(34, "X35")40	r.SetVar(35, "X36")41	r.SetVar(36, "X37")42	r.SetVar(37, "X38")43	r.SetVar(38, "X39")44	r.SetVar(39, "X40")45	r.SetVar(40, "X41")46	r.SetVar(41, "X42")

PostTC

Using AI Code Generation

1import "fmt"2import "github.com/oleg/incubator-mxnet/mxnet"3type DataIter struct {4}5func (d *DataIter) Next() bool {6}7func (d *DataIter) GetBatchSize() int {8}9func (d *DataIter) GetPadNum() int {10}11func (d *DataIter) GetIndex() []int {12    return []int{}13}14func (d *DataIter) Reset() {15}16func (d *DataIter) GetLabel() mxnet.NDArray {17    return mxnet.NDArray{}18}19func (d *DataIter) GetWeight() mxnet.NDArray {20    return mxnet.NDArray{}21}22func (d *DataIter) GetData() mxnet.NDArray {23    return mxnet.NDArray{}24}25func (d *DataIter) GetIndex() []int {26    return []int{}27}28func (d *DataIter) GetPadNum() int {29}30func (d *DataIter) GetBatchSize() int {31}32func (d *DataIter) Next() bool {33}34func (d *DataIter) Reset() {35}36func (d *DataIter) GetLabel() mxnet.NDArray {37    return mxnet.NDArray{}38}39func (d *DataIter) GetWeight() mxnet.NDArray {40    return mxnet.NDArray{}41}42func (d *DataIter) GetData() mxnet.NDArray {43    return mxnet.NDArray{}44}45func (d *DataIter) GetIndex() []int {46    return []int{}47}48func (d *DataIter) GetPadNum() int {49}50func (d *DataIter) GetBatchSize() int {51}52func (d *DataIter) Next() bool {53}54func (d *DataIter) Reset() {55}56func (d *DataIter) GetLabel() mxnet.NDArray {57    return mxnet.NDArray{}58}59func (d *DataIter) GetWeight() mxnet.NDArray {60    return mxnet.NDArray{}61}

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