Best Keploy code snippet using regression.GetAll
service_test.go
Source:service_test.go
...308 assert.Panics(func() {309 collection.Get("my-route")310 })311 assert.Panics(func() {312 collection.GetAll()313 })314}315func TestServiceDelete(t *testing.T) {316 assert := assert.New(t)317 collection := servicesCollection()318 var service Service319 service.ID = kong.String("first")320 service.Host = kong.String("example.com")321 err := collection.Add(service)322 assert.Nil(err)323 err = collection.Delete("does-not-exist")324 assert.NotNil(err)325 err = collection.Delete("first")326 assert.Nil(err)327 err = collection.Delete("first")328 assert.NotNil(err)329 err = collection.Delete("")330 assert.NotNil(err)331}332func TestServiceGetAll(t *testing.T) {333 assert := assert.New(t)334 collection := servicesCollection()335 services := []Service{336 {337 Service: kong.Service{338 ID: kong.String("first"),339 Name: kong.String("my-service1"),340 Host: kong.String("example.com"),341 },342 },343 {344 Service: kong.Service{345 ID: kong.String("second"),346 Name: kong.String("my-service2"),347 Host: kong.String("example.com"),348 },349 },350 }351 for _, s := range services {352 assert.Nil(collection.Add(s))353 }354 allServices, err := collection.GetAll()355 assert.Nil(err)356 assert.Equal(len(services), len(allServices))357}358// Regression test359// to ensure that the memory reference of the pointer returned by Get()360// is different from the one stored in MemDB.361func TestServiceGetAllMemoryReference(t *testing.T) {362 assert := assert.New(t)363 collection := servicesCollection()364 services := []Service{365 {366 Service: kong.Service{367 ID: kong.String("first"),368 Name: kong.String("my-service1"),369 Host: kong.String("example.com"),370 },371 },372 {373 Service: kong.Service{374 ID: kong.String("second"),375 Name: kong.String("my-service2"),376 Host: kong.String("example.com"),377 },378 },379 }380 for _, s := range services {381 assert.Nil(collection.Add(s))382 }383 allServices, err := collection.GetAll()384 assert.Nil(err)385 assert.Equal(len(services), len(allServices))386 allServices[0].Host = kong.String("new.example.com")387 allServices[1].Host = kong.String("new.example.com")388 service, err := collection.Get("my-service1")389 assert.Nil(err)390 assert.NotNil(service)391 assert.Equal("example.com", *service.Host)392}...
shortcuttest.go
Source:shortcuttest.go
...50 ret = append(ret, s)51 }52 return ret53}54// Shortcut_GetAll tests that GetAll produces a channel of all the shortcuts in55// the database.56func GetAll(t *testing.T, store shortcut.Store) {57 ctx := context.Background()58 const numShortcuts = 1259 // Write some shortcuts.60 for i := 0; i < numShortcuts; i++ {61 sh := &shortcut.Shortcut{62 Keys: []string{63 fmt.Sprintf(",arch=x86,test=test%d,", i),64 },65 }66 _, err := store.InsertShortcut(ctx, sh)67 require.NoError(t, err)68 }69 ch, err := store.GetAll(ctx)70 require.NoError(t, err)71 all := readAll(ch)72 assert.Len(t, all, numShortcuts)73 assert.True(t, strings.HasPrefix(all[0].Keys[0], ",arch=x86,test=test"))74}75// SubTestFunction is a func we will call to test one aspect of an76// implementation of regression.Store.77type SubTestFunction func(t *testing.T, store shortcut.Store)78// SubTests are all the subtests we have for regression.Store.79var SubTests = map[string]SubTestFunction{80 "Shortcut_GetAll": GetAll,81 "Shortcut_InsertGet": InsertGet,82 "Shortcut_GetNonExistent": GetNonExistent,83}
service.go
Source:service.go
...5 "go.keploy.io/server/pkg/models"6)7type Service interface {8 Get(ctx context.Context, cid, appID, id string) (models.TestCase, error)9 GetAll(ctx context.Context, cid, appID string, offset *int, limit *int) ([]models.TestCase, error)10 Put(ctx context.Context, cid string, t []models.TestCase) ([]string, error)11 DeNoise(ctx context.Context, cid, id, app, body string, h http.Header) error12 Test(ctx context.Context, cid, app, runID, id string, resp models.HttpResp) (bool, error)13 GetApps(ctx context.Context, cid string) ([]string, error)14 UpdateTC(ctx context.Context, t []models.TestCase) error15 DeleteTC(ctx context.Context, cid, id string) error16}...
GetAll
Using AI Code Generation
1import (2func main() {3 r.SetObserved("Y")4 r.SetVar(0, "X")5 r.Train(6 regression.Data{7 X: []float64{1},8 Y: []float64{1},9 },10 r.Train(11 regression.Data{12 X: []float64{2},13 Y: []float64{2},14 },15 r.Train(16 regression.Data{17 X: []float64{3},18 Y: []float64{3},19 },20 fmt.Printf("%0.2f\n", r.Predict([]float64{4}))21 fmt.Printf("%s\n", r.Formula)22}
GetAll
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(regression.Data{8 X: []float64{1, 2},9 })10 r.Train(regression.Data{11 X: []float64{2, 3},12 })13 r.Train(regression.Data{14 X: []float64{3, 4},15 })16 r.Train(regression.Data{17 X: []float64{4, 5},18 })19 r.Run()20 fmt.Printf("\nRegression Formula:\n%v\n", r.Formula)21 fmt.Printf("\nR-squared:\n%0.2f\n", r.R2)22 fmt.Printf("\nMean-squared error:\n%0.2f\n", r.MSE)23 fmt.Printf("\nPredictions:\n")24 for x := 0.0; x <= 5.0; x += 1.0 {25 fmt.Printf("%0.2f, %0.2f -> %0.2f\n", x, x+1, r.Predict([]float64{x, x + 1}))26 }27 fmt.Printf("\nCoefficients:\n%0.2f\n", coeffs)28 fmt.Printf("\nIntercept:\n%0.2f\n", r.Intercept)29 fmt.Printf("\nConfidence Intervals:\n")30 for i, ci := range r.ConfidenceIntervals(0.95) {31 fmt.Printf("X%v: %0.2f - %0.2f\n", i, ci.Min, ci.Max)32 }
GetAll
Using AI Code Generation
1import (2func main() {3 r.SetObserved("Y")4 r.SetVar(0, "X")5 f, err := os.Open("data.csv")6 if err != nil {7 log.Fatal(err)8 }9 records, err := csv.NewReader(f).ReadAll()10 if err != nil {11 log.Fatal(err)12 }13 for _, record := range records {14 yval, err := strconv.ParseFloat(record[0], 64)15 if err != nil {16 log.Fatal(err)17 }18 xval, err := strconv.ParseFloat(record[1], 64)19 if err != nil {20 log.Fatal(err)21 }22 r.Train(regression.DataPoint(yval, []float64{xval}))23 }24 r.Run()25 fmt.Printf("\nRegression Formula:\n%v\n\n", r.Formula)26 for x := 0.0; x < 10.0; x += 0.5 {27 fmt.Printf("x: %0.1f, predicted: %0.2f\n", x, r.Predict([]float64{x}))28 }29 fmt.Printf("\nR2: %0.2f\n", r2)30 rmse := math.Sqrt(r.MSE)31 fmt.Printf("\nRMSE: %0.2f\n", rmse)32}
GetAll
Using AI Code Generation
1import (2func main() {3 http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) {4 canvas := svg.New(w)5 canvas.Start(600, 600)6 canvas.Rect(0, 0, 600, 600, "fill:rgb(255,255,255)")7 canvas.Title("Linear Regression")8 canvas.Desc("This canvas shows how to use linear regression")9 reg := New()10 reg.Add(1, 1)11 reg.Add(2, 2)12 reg.Add(3, 3)13 slope, intercept := reg.GetAll()14 fmt.Println("Slope: ", slope)15 fmt.Println("Intercept: ", intercept)16 canvas.Line(100, 500-(slope*100+intercept), 500, 500-(slope*400+intercept), "stroke:rgb(255,0,0);stroke-width:2")17 canvas.End()18 })19 if len(os.Args) > 1 {20 p, err := strconv.Atoi(os.Args[1])21 if err != nil {22 fmt.Println(err)23 os.Exit(1)24 }25 }26 http.ListenAndServe(":"+strconv.Itoa(port), nil)27}28import (
GetAll
Using AI Code Generation
1import (2type Regression struct {3}4type RegressionData struct {5}6type RegressionTag struct {7}8type RegressionRun struct {9}10type RegressionType struct {11}12type RegressionMeta struct {13}14type RegressionTest struct {15}16type RegressionStatus struct {17}18func main() {19 if err != nil {
GetAll
Using AI Code Generation
1import (2func main() {3 f, err := os.Open("data.csv")4 if err != nil {5 log.Fatal(err)6 }7 r := regression.NewRegression()8 r.SetObserved("Y")9 r.SetVar(0, "X")10 if err := r.Train(regression.DataCSV(f)); err != nil {11 log.Fatal(err)12 }13 r.Results().Print(os.Stdout)14}15import (16func main() {17 f, err := os.Open("data.csv")18 if err != nil {19 log.Fatal(err)20 }21 r := regression.NewRegression()22 r.SetObserved("Y")23 r.SetVar(0, "X")24 if err := r.Train(regression.DataCSV(f)); err != nil {25 log.Fatal(err)26 }27 fmt.Printf("\nRegression formula:\n%v\n\n", r.Formula)28 fmt.Printf("Predicted Y for X = 1.5: %v\n", r.Predict([]float64{1.5}))29 fmt.Printf("Predicted Y for X = 3.5: %v\n", r.Predict([]float64{3.5}))30}31import (32func main() {33 f, err := os.Open("data.csv")34 if err != nil {35 log.Fatal(err)36 }37 r := regression.NewRegression()38 r.SetObserved("Y")39 r.SetVar(0, "X")40 if err := r.Train(regression.DataCSV(f)); err != nil {41 log.Fatal(err)42 }43 r2, err := r.Evaluate(regression.Data
GetAll
Using AI Code Generation
1import (2func main() {3 r.Init()4 r.AddDataPoint(1, 2)5 r.AddDataPoint(2, 3)6 r.AddDataPoint(3, 4)7 r.AddDataPoint(4, 5)8 r.LinearRegression()9 fmt.Println(r.GetResults())10 fmt.Println(r.GetAll())11}12import (13func main() {14 r.Init()15 r.AddDataPoint(1, 2)16 r.AddDataPoint(2, 3)17 r.AddDataPoint(3, 4)18 r.AddDataPoint(4, 5)19 r.LinearRegression()20 fmt.Println(r.GetResults())21 fmt.Println(r.Get(0))22 fmt.Println(r.Get(1))23 fmt.Println(r.Get(2))24 fmt.Println(r.Get(3))25}26import (27func main() {28 r.Init()29 r.AddDataPoint(1, 2)30 r.AddDataPoint(2, 3)31 r.AddDataPoint(3, 4)32 r.AddDataPoint(4, 5)33 r.LinearRegression()34 fmt.Println(r.GetResults())35 fmt.Println(r.GetX(0), r.GetY(0))36 fmt.Println(r.GetX(1), r.Get
GetAll
Using AI Code Generation
1import (2func main() {3 revel.Init("", "app", "")4 models.GenerateSchema()5 db.DB.All(®ressions)6 fmt.Printf("%v", regressions)7}8import (9func main() {10 revel.Init("", "app", "")11 models.GenerateSchema()12 db.DB.Get(®ression, 1)13 fmt.Printf("%v", regression)14}15import (16func main() {17 revel.Init("", "app", "")18 models.GenerateSchema()19 db.DB.Insert(®ression)20 fmt.Printf("%v", regression)21}22import (23func main() {24 revel.Init("",
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