How to use flatten method of regression Package

Best Keploy code snippet using regression.flatten

regression.go

Source:regression.go

...326		err := json.Unmarshal([]byte(body), &result)327		if err != nil {328			return err329		}330		j := flatten(result)331		for k, v := range j {332			nk := "body"333			if k != "" {334				nk = nk + "." + k335			}336			m[nk] = v337		}338	} else {339		// add it as raw text340		m["body"] = []string{body}341	}342	return nil343}344// Flatten takes a map and returns a new one where nested maps are replaced345// by dot-delimited keys.346// examples of valid jsons - https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/JSON/parse#examples347func flatten(j interface{}) map[string][]string {348	if j == nil {349		return map[string][]string{"": {""}}350	}351	o := make(map[string][]string)352	x := reflect.ValueOf(j)353	switch x.Kind() {354	case reflect.Map:355		m, ok := j.(map[string]interface{})356		if !ok {357			return map[string][]string{}358		}359		for k, v := range m {360			nm := flatten(v)361			for nk, nv := range nm {362				fk := k363				if nk != "" {364					fk = fk + "." + nk365				}366				o[fk] = nv367			}368		}369	case reflect.Bool:370		o[""] = []string{strconv.FormatBool(x.Bool())}371	case reflect.Float64:372		o[""] = []string{strconv.FormatFloat(x.Float(), 'E', -1, 64)}373	case reflect.String:374		o[""] = []string{x.String()}375	case reflect.Slice:376		child, ok := j.([]interface{})377		if !ok {378			return map[string][]string{}379		}380		for _, av := range child {381			nm := flatten(av)382			for nk, nv := range nm {383				if ov, exists := o[nk]; exists {384					o[nk] = append(ov, nv...)385				} else {386					o[nk] = nv387				}388			}389		}390	default:391		fmt.Println("found invalid value in json", j, x.Kind())392	}393	return o394}395func (r *Regression) fillCache(ctx context.Context, t *models.TestCase) (string, error) {396	index := fmt.Sprintf("%s-%s-%s", t.CID, t.AppID, t.URI)397	_, ok1 := r.noisyFields[index]398	_, ok2 := r.fieldCounts[index]399	if ok1 && ok2 {400		return index, nil401	}402	r.mu.Lock()403	defer r.mu.Unlock()404	// check again after the lock405	_, ok1 = r.noisyFields[index]406	_, ok2 = r.fieldCounts[index]407	if !ok1 || !ok2 {408		var anchors []map[string][]string409		fieldCounts, noisyFields := map[string]map[string]int{}, map[string]bool{}410		tcs, err := r.tdb.GetKeys(ctx, t.CID, t.AppID, t.URI)411		if err != nil {412			return "", err413		}414		for _, v := range tcs {415			//var appAnchors map[string][]string416			//for _, a := range v.Anchors {417			//	appAnchors[a] = v.AllKeys[a]418			//}419			anchors = append(anchors, v.Anchors)420			for k, v1 := range v.AllKeys {421				if fieldCounts[k] == nil {422					fieldCounts[k] = map[string]int{}423				}424				for _, v2 := range v1 {425					fieldCounts[k][v2] = fieldCounts[k][v2] + 1426				}427				if !isAnchor(fieldCounts[k]) {428					noisyFields[k] = true429				}430			}431		}432		r.fieldCounts[index], r.noisyFields[index], r.anchors[index] = fieldCounts, noisyFields, anchors433	}434	return index, nil435}436func (r *Regression) isDup(ctx context.Context, t *models.TestCase) (bool, error) {437	reqKeys := map[string][]string{}438	filterKeys := map[string][]string{}439	index, err := r.fillCache(ctx, t)440	if err != nil {441		return false, err442	}443	// add headers444	for k, v := range t.HttpReq.Header {445		reqKeys["header."+k] = []string{strings.Join(v, "")}446	}447	// add url params448	for k, v := range t.HttpReq.URLParams {449		reqKeys["url_params."+k] = []string{v}450	}451	// add body if it is a valid json452	if json.Valid([]byte(t.HttpReq.Body)) {453		var result interface{}454		err = json.Unmarshal([]byte(t.HttpReq.Body), &result)455		if err != nil {456			return false, err457		}458		body := flatten(result)459		for k, v := range body {460			nk := "body"461			if k != "" {462				nk = nk + "." + k463			}464			reqKeys[nk] = v465		}466	}467	isAnchorChange := false468	for k, v := range reqKeys {469		if !r.noisyFields[index][k] {470			// update field count471			for _, s := range v {472				if _, ok := r.fieldCounts[index][k]; !ok {...

logger.go

Source:logger.go

1package logger2import (3	"context"4	"fmt"5	"io"6	"io/ioutil"7	"os"8	"path/filepath"9	"strings"10	"sync/atomic"11	"time"12	"github.com/hashicorp/go-multierror"13	"github.com/pkg/errors"14	"github.com/qlik-oss/gopherciser/helpers"15	"github.com/rs/zerolog"16)17type (18	// MsgWriter implement to write log entry19	MsgWriter interface {20		// WriteMessage to log21		WriteMessage(msg *LogChanMsg) error22		// Set log level23		Level(lvl LogLevel)24	}25	// Logger container for writer and close functions26	Logger struct {27		Writer     MsgWriter28		closeFuncs []func() error29	}30	// LogLevel of logging31	LogLevel int32	//Message container33	message struct {34		Tick    uint6435		Time    time.Time36		Level   LogLevel37		Message string38	}39	// LogChanMsg container for row to be logged40	LogChanMsg struct {41		message42		SessionEntry43		ActionEntry44		*ephemeralEntry45	}46	// LogSettings settings47	LogSettings struct {48		Traffic    bool49		Metrics    bool50		Debug      bool51		Regression bool52	}53	// Log main struct to keep track of and propagate log entries to loggers. Close finished will be signaled on Closed channel.54	Log struct {55		loggers   []*Logger56		logChan   chan *LogChanMsg57		closeFlag atomic.Value58		Closed   chan interface{}59		Settings LogSettings60		regressionLogger RegressionLoggerCloser61	}62)63// When adding a new level also:64// * Add it to the String function65// * Add it in the StartLogger switch case if not to be logged on info level66const (67	UnknownLevel LogLevel = iota68	ResultLevel69	ErrorLevel70	WarningLevel71	InfoLevel72	MetricsLevel73	TrafficLevel74	DebugLevel75)76func (l LogLevel) String() string {77	switch l {78	case ResultLevel:79		return "result"80	case ErrorLevel:81		return "error"82	case WarningLevel:83		return "warning"84	case InfoLevel:85		return "info"86	case DebugLevel:87		return "debug"88	case TrafficLevel:89		return "traffic"90	case MetricsLevel:91		return "metric"92	default:93		return "unknown"94	}95}96// NewLog instance97func NewLog(settings LogSettings) *Log {98	return &Log{99		logChan:  make(chan *LogChanMsg, 200),100		Settings: settings,101		Closed:   make(chan interface{}),102	}103}104// NewLogger instance105func NewLogger(w MsgWriter) *Logger {106	return &Logger{107		Writer: w,108	}109}110// NewLogChanMsg create new LogChanMsg, to be used for testing purposes111func NewEmptyLogChanMsg() *LogChanMsg {112	return &LogChanMsg{message{},113		SessionEntry{},114		ActionEntry{},115		&ephemeralEntry{}}116}117// NewLogEntry create new LogEntry using current logger118func (log *Log) NewLogEntry() *LogEntry {119	return NewLogEntry(log)120}121// AddLoggers to be used for logging122func (log *Log) AddLoggers(loggers ...*Logger) {123	if log.loggers == nil {124		log.loggers = []*Logger{}125		log.loggers = append(log.loggers, loggers...)126		return127	}128	log.loggers = append(log.loggers, loggers...)129}130// SetRegressionLoggerFile to be used for logging regression data to file. The131// file name is chosen, using `backupName`, to match the name of the standard132// log file.133func (log *Log) SetRegressionLoggerFile(fileName string) error {134	fileName = strings.TrimSuffix(backupName(fileName), filepath.Ext(fileName)) + ".regression"135	f, err := NewWriter(fileName)136	if err != nil {137		return errors.WithStack(err)138	}139	log.regressionLogger = NewRegressionLogger(f, HeaderEntry{"ID_FORMAT", "sessionID.actionID.objectID"})140	return nil141}142// CloseWithTimeout functions with custom timeout143func (log *Log) CloseWithTimeout(timeout time.Duration) error {144	log.closeFlag.Store(true)145	//wait for all logs to be written or max 5 minutes146	ctx, cancel := context.WithTimeout(context.Background(), timeout)147	defer cancel()148	WaitForChanClose(ctx, log.Closed)149	var mErr *multierror.Error150	if log.loggers != nil {151		for _, v := range log.loggers {152			if err := v.Close(); err != nil {153				mErr = multierror.Append(mErr, err)154			}155		}156		log.loggers = nil157	}158	if log.regressionLogger != nil {159		log.regressionLogger.Close()160	}161	return errors.WithStack(helpers.FlattenMultiError(mErr))162}163// Close functions with default timeout of 5 minutes164func (log *Log) Close() error {165	return errors.WithStack(log.CloseWithTimeout(5 * time.Minute))166}167// StartLogger start async reading on log channel168func (log *Log) StartLogger(ctx context.Context) {169	go log.logListen(ctx)170}171func (log *Log) logListen(ctx context.Context) {172	doClose := false173	for {174		if flag, ok := log.closeFlag.Load().(bool); ok && flag {175			doClose = true176		}177		select {178		case msg, ok := <-log.logChan:179			if log.onLogChanMsg(msg, ok) {180				return181			}182		case <-ctx.Done():183			doClose = true184			for {185				select {186				case msg, ok := <-log.logChan:187					if log.onLogChanMsg(msg, ok) {188						return189					}190				case <-time.After(time.Millisecond * 50):191					// logChan is never closed, but this is only executed when the program terminates192					close(log.Closed)193					return194				}195			}196		case <-time.After(time.Millisecond * 50):197			if doClose {198				close(log.logChan)199			}200		}201	}202}203func (log *Log) onLogChanMsg(msg *LogChanMsg, ok bool) bool {204	if !ok {205		close(log.Closed) //Notify logger closed206		return true207	}208	for _, l := range log.loggers {209		if l == nil || l.Writer == nil {210			continue211		}212		if err := l.Writer.WriteMessage(msg); err != nil {213			_, _ = fmt.Fprintf(os.Stderr, "Error writing log: %v\n", err)214		}215	}216	return false217}218// Write log message, should be done in go routine to not block219func (log *Log) Write(msg *LogChanMsg) {220	if msg == nil {221		return222	}223	for _, l := range log.loggers {224		if l == nil || l.Writer == nil {225			continue226		}227		if err := l.Writer.WriteMessage(msg); err != nil {228			_, _ = fmt.Fprintf(os.Stderr, "Error writing log: %v\n", err)229		}230	}231}232// SetMetrics level on logging for all loggers233func (log *Log) SetMetrics() {234	if log == nil {235		return236	}237	for _, l := range log.loggers {238		l.Writer.Level(MetricsLevel)239	}240}241// SetTraffic level on logging for all loggers242func (log *Log) SetTraffic() {243	if log == nil {244		return245	}246	for _, l := range log.loggers {247		l.Writer.Level(TrafficLevel)248	}249}250// SetDebug level on logging for all loggers251func (log *Log) SetDebug() {252	if log == nil {253		return254	}255	for _, l := range log.loggers {256		l.Writer.Level(DebugLevel)257	}258}259// Close logger260func (logger *Logger) Close() error {261	if logger == nil {262		return nil263	}264	var mErr *multierror.Error265	if logger.closeFuncs != nil {266		for _, v := range logger.closeFuncs {267			if err := v(); err != nil {268				mErr = multierror.Append(mErr, err)269			}270		}271	}272	return errors.WithStack(helpers.FlattenMultiError(mErr))273}274// AddCloseFunc add sub logger close function to be called upon logger close275func (logger *Logger) AddCloseFunc(f func() error) {276	if logger == nil {277		return278	}279	if logger.closeFuncs == nil {280		logger.closeFuncs = []func() error{f}281		return282	}283	logger.closeFuncs = append(logger.closeFuncs, f)284}285// CreateStdoutJSONLogger create logger for JSON on terminal for later adding to loggers list286func CreateStdoutJSONLogger() *Logger {287	zerolog.LevelFieldName = "zerologlevel"288	zlgr := zerolog.New(os.Stdout)289	zlgr = zlgr.Level(zerolog.InfoLevel)290	jsonWriter := NewJSONWriter(&zlgr)291	return NewLogger(jsonWriter)292}293// CreateJSONLogger with io.Writer294func CreateJSONLogger(writer io.Writer, closeFunc func() error) *Logger {295	zerolog.LevelFieldName = "zerologlevel"296	zlgr := zerolog.New(writer)297	zlgr = zlgr.Level(zerolog.InfoLevel)298	jsonLogger := NewLogger(NewJSONWriter(&zlgr))299	if closeFunc != nil {300		jsonLogger.AddCloseFunc(closeFunc)301	}302	return jsonLogger303}304// CreateTSVLogger with io.Writer305func CreateTSVLogger(header []string, writer io.Writer, closeFunc func() error) (*Logger, error) {306	tsvWriter := NewTSVWriter(header, writer)307	tsvLogger := NewLogger(tsvWriter)308	if closeFunc != nil {309		tsvLogger.AddCloseFunc(closeFunc)310	}311	if err := tsvWriter.WriteHeader(); err != nil {312		return nil, errors.Wrap(err, "Failed writing TSV header")313	}314	return tsvLogger, nil315}316// CreateStdoutLogger create logger for JSON on terminal for later adding to loggers list317func CreateStdoutLogger() *Logger {318	zlgr := zerolog.New(zerolog.ConsoleWriter{319		Out:     os.Stdout,320		NoColor: false,321	})322	zlgr = zlgr.Level(zerolog.InfoLevel)323	jsonWriter := NewJSONWriter(&zlgr)324	return NewLogger(jsonWriter)325}326// CreateDummyLogger auto discarding all entries327func CreateDummyLogger() *Logger {328	dummyWriter := NewTSVWriter(nil, ioutil.Discard)329	dummyLogger := NewLogger(dummyWriter)330	return dummyLogger331}332// WaitForChanClose which ever comes first context cancel or c closed. Returns instantly if channel is nil.333func WaitForChanClose(ctx context.Context, c chan interface{}) {334	if c == nil {335		return336	}337	select {338	case <-ctx.Done():339	case <-c:340	}341}...

representation_test.go

Source:representation_test.go

1package factable2import (3	"bytes"4	"errors"5	"time"6	"github.com/LiveRamp/gazette/v2/pkg/message"7	"github.com/cockroachdb/cockroach/util/encoding"8	gc "github.com/go-check/check"9)10func (s *SchemaSuite) TestDimensionRoundTripRegressionCases(c *gc.C) {11	var schema, err = NewSchema(makeExtractors(), makeTestConfig())12	c.Assert(err, gc.IsNil)13	var input = schema.Extract.Mapping[mapIdentTag](message.Envelope{14		Message: testRecord{15			anInt:  3,16			aTime:  time.Unix(12345, 0),17			aStr:   "hello",18			aFloat: 12345.0,19		}})[0]20	var cases = []struct {21		dim            DimTag22		expect         Field23		expectEncoding []byte24	}{25		{DimMVTag, int64(9999), []byte{0xf7, 0x27, 0xf}},                                  // MVTag prefix.26		{dimAnIntTag, int64(3), []byte{0x8b}},                                             // DimensionType_VARINT.27		{dimAFloatTag, 12345.0, []byte{0x05, 0x40, 0xc8, 0x1c, 0x80, 0x0, 0x0, 0x0, 0x0}}, // DimensionType_FLOAT.28		{dimAStrTag, "hello", []byte{0x12, 0x68, 0x65, 0x6c, 0x6c, 0x6f, 0x0, 0x1}},       // DimensionType_STRING.29		{dimATimeTag, time.Unix(12345, 0), []byte{0x14, 0xf7, 0x30, 0x39, 0x88}},          // DimensionType_TIMESTAMP.30	}31	var tags []DimTag32	for _, tc := range cases {33		tags = append(tags, tc.dim)34	}35	var b = []byte{0xff}                                       // Arbitrary prefix, which is passed through.36	b = encoding.EncodeVarintAscending(b, 9999)                // MVTag prefix.37	b = schema.ExtractAndMarshalDimensions(b, tags[1:], input) // Extract fields, excepting DimMVTag.38	var bb = b[1:]39	for _, tc := range cases {40		// Use DequeDimension to pop individual dimensions and confirm their expected encoding.41		var next []byte42		next, err = schema.DequeDimension(bb, tc.dim)43		c.Check(err, gc.IsNil)44		c.Check(bb[:len(bb)-len(next)], gc.DeepEquals, tc.expectEncoding)45		bb = next46	}47	c.Check(bb, gc.HasLen, 0) // Input fully consumed.48	// Expect UnmarshalDimensions recovers expected input fields, including MVTag.49	c.Check(schema.UnmarshalDimensions(b[1:], tags, func(field Field) error {50		c.Check(field, gc.Equals, cases[0].expect)51		cases = cases[1:]52		return nil53	}), gc.IsNil)54	// Expect UnmarshalDimensions passes through an error.55	c.Check(schema.UnmarshalDimensions(b[1:], tags, func(Field) error {56		return errors.New("foobar")57	}), gc.ErrorMatches, "foobar")58}59func (s *SchemaSuite) TestMetricRoundTripRegressionCases(c *gc.C) {60	var schema, err = NewSchema(makeExtractors(), makeTestConfig())61	c.Assert(err, gc.IsNil)62	var input = schema.Extract.Mapping[mapIdentTag](message.Envelope{63		Message: testRecord{64			anInt:    1,65			otherStr: "hello",66			aFloat:   12345.0,67		}})[0]68	var otherInput = schema.Extract.Mapping[mapIdentTag](message.Envelope{69		Message: testRecord{70			anInt:    3,71			otherStr: "world",72			aFloat:   678910.0,73		}})[0]74	var cases = []struct {75		met          MetTag76		expect       []byte77		expectReduce []byte78	}{79		{80			met:          metAnIntSumTag, // MetricType_VARINT_SUM.81			expect:       []byte{0x89},   // 1.82			expectReduce: []byte{0x8c},   // 4.83		},84		{85			met:          metAnIntGaugeTag, // MetricType_VARINT_GAUGE.86			expect:       []byte{0x89},     // 1.87			expectReduce: []byte{0x89},     // 1 (|input| is reduced into |otherInput|).88		},89		{90			met:          metAFloatSumTag, // MetricType_FLOAT_SUM.91			expect:       []byte{0x05, 0x40, 0xc8, 0x1c, 0x80, 0x0, 0x0, 0x0, 0x0},92			expectReduce: []byte{0x05, 0x41, 0x25, 0x18, 0x6e, 0x0, 0x0, 0x0, 0x0},93		},94		{95			met: metOtherStrUniqTag, // MetricType_STRING_HLL.96			expect: []byte{97				0x9d,                   // Varint length prefix.98				0x48, 0x59, 0x4c, 0x4c, // "HYLL"99				0x1, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x72, 0xf5, 0x88, 0x4d, 0x8},100			expectReduce: []byte{101				0xa0,102				0x48, 0x59, 0x4c, 0x4c,103				0x1, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x5c, 0x70, 0x84, 0x56, 0x83, 0x88, 0x4d, 0x8},104		},105	}106	for _, tc := range cases {107		var tags = []MetTag{tc.met}108		var aggs = make([]Aggregate, 1)109		schema.InitAggregates(tags, aggs)110		schema.FoldMetrics(tags, aggs, input)111		// Expect MarshalMetric passes through the prefix, appending the encoding.112		var b = schema.MarshalMetrics([]byte{0xff}, tags, aggs)113		c.Check(b[1:], gc.DeepEquals, tc.expect)114		var bb = append(b[:1:1], bytes.Repeat(b[1:], 2)...)115		// Expect UnmarshalMetrics recovers the input Aggregate, and consumes the precise encoding.116		c.Check(schema.UnmarshalMetrics(bb[1:], []MetTag{tc.met, tc.met}, func(agg2 Aggregate) error {117			c.Check(agg2, gc.DeepEquals, aggs[0])118			return nil119		}), gc.IsNil)120		// Expect dequeMetric pops the precise metric encoding.121		rem, err := schema.dequeMetric(bb[1:], tc.met)122		c.Check(err, gc.IsNil)123		c.Check(rem, gc.DeepEquals, b[1:])124		// Reset Aggregate & fold second RelationRow.125		schema.InitAggregates([]MetTag{tc.met}, aggs)126		schema.FoldMetrics([]MetTag{tc.met}, aggs, otherInput)127		// Expect ReduceMetrics over |b| pops the precise metric encoding.128		rem, err = schema.ReduceMetrics(bb[1:], []MetTag{tc.met}, aggs)129		c.Check(err, gc.IsNil)130		c.Check(rem, gc.DeepEquals, b[1:])131		// And that it reduces the expected aggregate.132		c.Check(schema.MarshalMetrics(nil, []MetTag{tc.met}, aggs), gc.DeepEquals, tc.expectReduce)133	}134}135func (s *SchemaSuite) TestFlatten(c *gc.C) {136	var (137		anInt   int64   = 12345138		aFloat  float64 = 5678139		aStrHLL         = BuildStrHLL("foo", "bar", "baz")140	)141	c.Check(Flatten(&anInt), gc.Equals, anInt)142	c.Check(Flatten(&aFloat), gc.Equals, aFloat)143	c.Check(Flatten(aStrHLL), gc.Equals, int64(3))144}...

flatten

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.Data{7        {Y: 1, X: 1},8        {Y: 2, X: 2},9        {Y: 3, X: 3},10        {Y: 4, X: 4},11    })12    r.Run()13    fmt.Printf("%0.2f\n", r.Coeff(0))14    fmt.Printf("%0.2f\n", r.Coeff(1))15    r.SetVar(0, "X2")16    r.Train(regression.Data{17        {Y: 1, X2: 1},18        {Y: 2, X2: 2},19        {Y: 3, X2: 3},20        {Y: 4, X2: 4},21    })22    r.Run()23    fmt.Printf("%0.2f\n", r.Coeff(0))24    fmt.Printf("%0.2f\n", r.Coeff(1))25}

flatten

Using AI Code Generation

1import (2func main() {3	obs = append(obs, regression.DataPoint(2.0, []float64{1.0, 0.0}))4	obs = append(obs, regression.DataPoint(4.0, []float64{0.0, 2.0}))5	obs = append(obs, regression.DataPoint(6.0, []float64{2.0, 0.0}))6	obs = append(obs, regression.DataPoint(8.0, []float64{0.0, 2.0}))7	r := new(regression.Regression)8	r.SetObs(obs)9	r.Flatten(1)10	fmt.Printf("obs: %v11}12obs: [{2 [1 0]} {4 [0 2]} {6 [2 0]} {8 [0 2]}]

flatten

Using AI Code Generation

1import (2func main() {3	r.SetObserved("Price")4	r.SetVar(0, "Size")5	r.SetVar(1, "Bedrooms")6	r.SetVar(2, "Bathrooms")7	f, err := os.Open(filename)8	if err != nil {9		log.Fatal(err)10	}11	defer f.Close()12	trainingData, err := regression.ParseCSV(f)13	if err != nil {14		log.Fatal(err)15	}16	r.Train(trainingData)17	result := r.Predict([]float64{2100, 4, 2})18	fmt.Printf("Predicted price for a 4 bedroom, 2 bath, 2100 sq ft house: $%.2f\n", result)19	if err := r.Save("model.gob"); err != nil {20		log.Fatal(err)21	}22	r2, err := regression.Load("model.gob")23	if err != nil {24		log.Fatal(err)25	}26	result2 := r2.Predict([]float64{2100, 4, 2})27	fmt.Printf("Predicted price for a 4 bedroom, 2 bath, 2100 sq ft house: $%.2f\n", result2)28}

flatten

Using AI Code Generation

1import (2func main() {3    r.SetObserved("y")4    r.SetVar(0, "x1")5    r.SetVar(1, "x2")6    r.Train(regression.Data{7        regression.Observation{Y: 1, X: []float64{1, 1}},8        regression.Observation{Y: 2, X: []float64{2, 2}},9        regression.Observation{Y: 3, X: []float64{3, 3}},10    })11    coeffs := r.Coeffs()12    fmt.Println("coeffs before flatten", coeffs)13    f := mat64.Flatten(nil, coeffs)14    fmt.Println("coeffs after flatten", f)15}

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