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How to use Optimum method of html Package

Best K6 code snippet using html.Optimum

flateDecode.go

Source:flateDecode.go

...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....

htmlElementMeter.go

Source:htmlElementMeter.go

...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}*/...

htmlmeterelement.go

Source:htmlmeterelement.go

...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)...

Optimum

Using AI Code Generation

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}

Optimum

Using AI Code Generation

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{

Optimum

Using AI Code Generation

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

Optimum

Using AI Code Generation

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	}

Optimum

Using AI Code Generation

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

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