How to use Optimum method of html Package

Best K6 code snippet using html.Optimum

flateDecode.go

Source:flateDecode.go Github

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...29 PredictorSub = 11 // Use PNGSub for all rows.30 PredictorUp = 12 // Use PNGUp for all rows.31 PredictorAverage = 13 // Use PNGAverage for all rows.32 PredictorPaeth = 14 // Use PNGPaeth for all rows.33 PredictorOptimum = 15 // Use the optimum PNG prediction for each row.34)35// For predictor > 2 PNG filters (see RFC 2083) get applied and the first byte of each pixelrow defines36// the prediction algorithm used for all pixels of this row.37const (38 PNGNone = 0x0039 PNGSub = 0x0140 PNGUp = 0x0241 PNGAverage = 0x0342 PNGPaeth = 0x0443)44type flate struct {45 baseFilter46}47// Encode implements encoding for a Flate filter.48func (f flate) Encode(r io.Reader) (io.Reader, error) {49 log.Trace.Println("EncodeFlate begin")50 // TODO Optional decode parameters may need predictor preprocessing.51 var b bytes.Buffer52 w := zlib.NewWriter(&b)53 defer w.Close()54 written, err := io.Copy(w, r)55 if err != nil {56 return nil, err57 }58 log.Trace.Printf("EncodeFlate end: %d bytes written\n", written)59 return &b, nil60}61// Decode implements decoding for a Flate filter.62func (f flate) Decode(r io.Reader) (io.Reader, error) {63 log.Trace.Println("DecodeFlate begin")64 rc, err := zlib.NewReader(r)65 if err != nil {66 return nil, err67 }68 defer rc.Close()69 // Optional decode parameters need postprocessing.70 return f.decodePostProcess(rc)71}72func passThru(rin io.Reader) (*bytes.Buffer, error) {73 var b bytes.Buffer74 _, err := io.Copy(&b, rin)75 return &b, err76}77func intMemberOf(i int, list []int) bool {78 for _, v := range list {79 if i == v {80 return true81 }82 }83 return false84}85// Each prediction value implies (a) certain row filter(s).86func validateRowFilter(f, p int) error {87 switch p {88 case PredictorNone:89 if !intMemberOf(f, []int{PNGNone, PNGSub, PNGUp, PNGAverage, PNGPaeth}) {90 return errors.Errorf("pdfcpu: validateRowFilter: PredictorOptimum, unexpected row filter #%02x", f)91 }92 // if f != PNGNone {93 // return errors.Errorf("validateRowFilter: expected row filter #%02x, got: #%02x", PNGNone, f)94 // }95 case PredictorSub:96 if f != PNGSub {97 return errors.Errorf("pdfcpu: validateRowFilter: expected row filter #%02x, got: #%02x", PNGSub, f)98 }99 case PredictorUp:100 if f != PNGUp {101 return errors.Errorf("pdfcpu: validateRowFilter: expected row filter #%02x, got: #%02x", PNGUp, f)102 }103 case PredictorAverage:104 if f != PNGAverage {105 return errors.Errorf("pdfcpu: validateRowFilter: expected row filter #%02x, got: #%02x", PNGAverage, f)106 }107 case PredictorPaeth:108 if f != PNGPaeth {109 return errors.Errorf("pdfcpu: validateRowFilter: expected row filter #%02x, got: #%02x", PNGPaeth, f)110 }111 case PredictorOptimum:112 if !intMemberOf(f, []int{PNGNone, PNGSub, PNGUp, PNGAverage, PNGPaeth}) {113 return errors.Errorf("pdfcpu: validateRowFilter: PredictorOptimum, unexpected row filter #%02x", f)114 }115 default:116 return errors.Errorf("pdfcpu: validateRowFilter: unexpected predictor #%02x", p)117 }118 return nil119}120func applyHorDiff(row []byte, colors int) ([]byte, error) {121 // This works for 8 bits per color only.122 for i := 1; i < len(row)/colors; i++ {123 for j := 0; j < colors; j++ {124 row[i*colors+j] += row[(i-1)*colors+j]125 }126 }127 return row, nil128}129func processRow(pr, cr []byte, p, colors, bytesPerPixel int) ([]byte, error) {130 //fmt.Printf("pr(%v) =\n%s\n", &pr, hex.Dump(pr))131 //fmt.Printf("cr(%v) =\n%s\n", &cr, hex.Dump(cr))132 if p == PredictorTIFF {133 return applyHorDiff(cr, colors)134 }135 // Apply the filter.136 cdat := cr[1:]137 pdat := pr[1:]138 // Get row filter from 1st byte139 f := int(cr[0])140 // The value of Predictor supplied by the decoding filter need not match the value141 // used when the data was encoded if they are both greater than or equal to 10.142 switch f {143 case PNGNone:144 // No operation.145 case PNGSub:146 for i := bytesPerPixel; i < len(cdat); i++ {147 cdat[i] += cdat[i-bytesPerPixel]148 }149 case PNGUp:150 for i, p := range pdat {151 cdat[i] += p152 }153 case PNGAverage:154 // The average of the two neighboring pixels (left and above).155 // Raw(x) - floor((Raw(x-bpp)+Prior(x))/2)156 for i := 0; i < bytesPerPixel; i++ {157 cdat[i] += pdat[i] / 2158 }159 for i := bytesPerPixel; i < len(cdat); i++ {160 cdat[i] += uint8((int(cdat[i-bytesPerPixel]) + int(pdat[i])) / 2)161 }162 case PNGPaeth:163 filterPaeth(cdat, pdat, bytesPerPixel)164 }165 return cdat, nil166}167func (f flate) parameters() (colors, bpc, columns int, err error) {168 // Colors, int169 // The number of interleaved colour components per sample.170 // Valid values are 1 to 4 (PDF 1.0) and 1 or greater (PDF 1.3). Default value: 1.171 // Used by PredictorTIFF only.172 colors, found := f.parms["Colors"]173 if !found {174 colors = 1175 } else if colors == 0 {176 return 0, 0, 0, errors.Errorf("pdfcpu: filter FlateDecode: \"Colors\" must be > 0")177 }178 // BitsPerComponent, int179 // The number of bits used to represent each colour component in a sample.180 // Valid values are 1, 2, 4, 8, and (PDF 1.5) 16. Default value: 8.181 // Used by PredictorTIFF only.182 bpc, found = f.parms["BitsPerComponent"]183 if !found {184 bpc = 8185 } else if !intMemberOf(bpc, []int{1, 2, 4, 8, 16}) {186 return 0, 0, 0, errors.Errorf("pdfcpu: filter FlateDecode: Unexpected \"BitsPerComponent\": %d", bpc)187 } else if bpc != 8 {188 return 0, 0, 0, errors.New("pdfcpu: filter FlateDecode: \"BitsPerComponent\" must be 8")189 }190 // Columns, int191 // The number of samples in each row. Default value: 1.192 columns, found = f.parms["Columns"]193 if !found {194 columns = 1195 }196 return colors, bpc, columns, nil197}198// decodePostProcess199func (f flate) decodePostProcess(r io.Reader) (io.Reader, error) {200 predictor, found := f.parms["Predictor"]201 if !found || predictor == PredictorNo {202 return passThru(r)203 }204 if !intMemberOf(205 predictor,206 []int{PredictorTIFF,207 PredictorNone,208 PredictorSub,209 PredictorUp,210 PredictorAverage,211 PredictorPaeth,212 PredictorOptimum,213 }) {214 return nil, errors.Errorf("pdfcpu: filter FlateDecode: undefined \"Predictor\" %d", predictor)215 }216 colors, bpc, columns, err := f.parameters()217 if err != nil {218 return nil, err219 }220 bytesPerPixel := (bpc*colors + 7) / 8221 rowSize := bpc * colors * columns / 8222 if predictor != PredictorTIFF {223 // PNG prediction uses a row filter byte prefixing the pixelbytes of a row.224 rowSize++225 }226 // cr and pr are the bytes for the current and previous row....

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htmlElementMeter.go

Source:htmlElementMeter.go Github

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...37 max attribute). When used with the low attribute and high attribute, it gives an indication where along the range is38 considered preferable. For example, if it is between the min attribute and the low attribute, then the lower range is39 considered preferred.40 */41 Optimum int `htmlAttr:"optimum" jsonSchema_description:"This attribute indicates the optimal numeric value. It must be within the range (as defined by the min attribute and max attribute). When used with the low attribute and high attribute, it gives an indication where along the range is considered preferable. For example, if it is between the min attribute and the low attribute, then the lower range is considered preferred."`42 Global HtmlGlobalAttributes `htmlAttr:"-" jsonSchema_description:""`43 *ToJavaScriptConverter `htmlAttr:"-" jsonSchema_description:""`44}45func (el *HtmlElementFormMeter) SetOmitHtml(value Boolean) {46 el.Global.DoNotUseThisFieldOmitHtml = value47}48func (el *HtmlElementFormMeter) ToHtml() []byte {49 var buffer bytes.Buffer50 if el.Global.DoNotUseThisFieldOmitHtml == TRUE {51 return []byte{}52 }53 element := reflect.ValueOf(el).Elem()54 data := el.ToJavaScriptConverter.ToTelerikHtml(element)55 buffer.Write([]byte(`<meter`))56 buffer.Write(el.Global.ToHtml())57 buffer.Write(data)58 buffer.Write([]byte(`>`))59 buffer.Write(el.Content.ToHtml())60 buffer.Write([]byte(`</meter>`))61 return buffer.Bytes()62}63/*64func(el *HtmlElementFormMeter)String() string {65 return `<meter ` + el.Global.String() + el.Form.ToAttr("form") + el.Min.ToAttr("min") + el.Max.ToAttr("max") + el.High.ToAttr("high") + el.Optimum.ToAttr("optimum") + `>` + el.Content.String() + `</meter>`66}*/...

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htmlmeterelement.go

Source:htmlmeterelement.go Github

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...100}101func (h HtmlMeterElement) SetMin(value float64) error {102 return h.SetAttributeDouble("min", value)103}104func (h HtmlMeterElement) Optimum() (float64, error) {105 return h.GetAttributeDouble("optimum")106}107func (h HtmlMeterElement) SetOptimum(value float64) error {108 return h.SetAttributeDouble("optimum", value)109}110func (h HtmlMeterElement) Value() (float64, error) {111 return h.GetAttributeDouble("value")112}113func (h HtmlMeterElement) SetValue(value float64) error {114 return h.SetAttributeDouble("value", value)115}116func (h HtmlMeterElement) Labels() (nodelist.NodeList, error) {117 var obj js.Value118 var err error119 var arr nodelist.NodeList120 if obj, err = h.Get("labels"); err == nil {121 arr, err = nodelist.NewFromJSObject(obj)...

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Optimum

Using AI Code Generation

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1import (2func main() {3 if err != nil {4 fmt.Println(err)5 }6 doc.Find("a").Each(func(i int, s *goquery.Selection) {7 fmt.Println(s.Text())8 })9}

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Optimum

Using AI Code Generation

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1import (2func main() {3 m := minify.New()4 m.AddFunc("text/html", html.Minify)5 m.AddFunc("text/css", css.Minify)6 m.AddFunc("text/javascript", js.Minify)7 m.AddFunc("image/svg+xml", svg.Minify)8 m.AddFuncRegexp(regexp.MustCompile("[/+]json$"), json.Minify)9 m.AddFuncRegexp(regexp.MustCompile("[/+]xml$"), xml.Minify)10 m.AddFunc("application/atom+xml", atom.Minify)11 m.AddFunc("application/rss+xml", rss.Minify)12 m.AddFunc("application/javascript", js.Minify)13 m.AddFunc("application/x-javascript", js.Minify)14 m.AddFunc("application/ecmascript", js.Minify)15 m.AddFunc("application/vnd.ms-fontobject", svg.Minify)16 m.AddFunc("application/x-font-ttf", base64.StdEncoding.EncodeToString)17 m.AddFunc("application/x-font-opentype", base64.StdEncoding.EncodeToString)18 m.AddFunc("application/x-font-truetype", base64.StdEncoding.EncodeToString)19 m.AddFunc("application/x-font-woff", base64.StdEncoding.EncodeToString)20 m.AddFunc("application/font-woff", base64.StdEncoding.EncodeToString)21 m.AddFunc("application/font-woff2", base64.StdEncoding.EncodeToString)22 m.AddFunc("application/x-web-app-manifest+json", json.Minify)23 m.AddFunc("application/xhtml+xml", html.Minify)24 m.AddFunc("image/jpg", jpeg.Minify)25 m.AddFunc("image/jpeg", jpeg.Minify)26 m.AddFunc("image/gif", gif.Minify)27 m.AddFunc("image/png", png.Minify)28 m.AddFunc("image/webp", webp.Minify)29 m.AddFunc("image/x-icon", base64.StdEncoding.EncodeToString)30 m.AddFunc("image/x-ico", base64.StdEncoding.EncodeToString)31 m.AddFunc("image/vnd.microsoft.icon", base64.StdEncoding.EncodeToString)32 m.Add("text/html", &html.Minifier{

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Optimum

Using AI Code Generation

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1import (2func main() {3 fmt.Println(html)4}5import (6func main() {7 fmt.Println(html)8}9import (10func main() {

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Optimum

Using AI Code Generation

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1import (2func main() {3 if err != nil {4 log.Fatal(err)5 }6 for _, node := range nodes {7 fmt.Println(htmlquery.InnerText(node))8 }9 if err != nil {10 log.Fatal(err)11 }12 for _, node := range nodes.Evaluate(htmlquery.CreateXPathNavigator(doc)).(*xpath.NodeIterator) {13 fmt.Println(htmlquery.InnerText(node.Underlying()))14 }15 for _, node := range nodes {16 fmt.Println(htmlquery.InnerText(node))17 }18 if err != nil {19 log.Fatal(err)20 }21 for _, node := range nodes.Evaluate(htmlquery.CreateXPathNavigator(doc)).(*xpath.NodeIterator) {22 fmt.Println(htmlquery.InnerText(node.Underlying()))23 }24 for _, node := range nodes {25 fmt.Println(htmlquery.InnerText(node))26 }27 if err != nil {28 log.Fatal(err)29 }30 for _, node := range nodes.Evaluate(htmlquery.CreateXPathNavigator(doc)).(*xpath.NodeIterator) {31 fmt.Println(htmlquery.InnerText(node.Underlying()))32 }

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Optimum

Using AI Code Generation

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1import (2func main() {3 doc, err := htmlquery.Parse(strings.NewReader(xml))4 if err != nil {5 panic(err)6 }

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